These books synthesize perspectives of renowned scientists from the world’s most prestigious institutions - from Fukushima Renewable Energy Institute in Japan to Stanford University in the United States, including Columbia University (US), University of Sidney (AU), University of Miami (USA), Cardiff University (UK), and many others.
\\n\\n
This collaboration embodied the true essence of Open Access by simplifying the approach to OA publishing for Academic editors and authors who contributed their research and allowed the new research to be made available free and open to anyone anywhere in the world.
\\n\\n
To celebrate the 50 books published, we have gathered them at one location - just one click away, so that you can easily browse the subjects of your interest, download the content directly, share it or read online.
IntechOpen and Knowledge Unlatched formed a partnership to support researchers working in engineering sciences by enabling an easier approach to publishing Open Access content. Using the Knowledge Unlatched crowdfunding model to raise the publishing costs through libraries around the world, Open Access Publishing Fee (OAPF) was not required from the authors.
\n\n
Initially, the partnership supported engineering research, but it soon grew to include physical and life sciences, attracting more researchers to the advantages of Open Access publishing.
\n\n\n\n
These books synthesize perspectives of renowned scientists from the world’s most prestigious institutions - from Fukushima Renewable Energy Institute in Japan to Stanford University in the United States, including Columbia University (US), University of Sidney (AU), University of Miami (USA), Cardiff University (UK), and many others.
\n\n
This collaboration embodied the true essence of Open Access by simplifying the approach to OA publishing for Academic editors and authors who contributed their research and allowed the new research to be made available free and open to anyone anywhere in the world.
\n\n
To celebrate the 50 books published, we have gathered them at one location - just one click away, so that you can easily browse the subjects of your interest, download the content directly, share it or read online.
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She became a Teacher of Mathematics at the Berzsenyi Dániel Teacher Training College in 1988. Dr. Lányi obtained the Dr. Univ. degree at the University of Veszprém, Hungary in Physical-chemistry (1993), and the Ph.D. degree at the University of Veszprém, Hungary in Computer Science (2000). She has worked as a software engineer and as an associate professor for program languages at the University of Pannonia.\nCurrently, she is focused on virtual reality and its application, user interface design, computer graphics for informatics engineering students and using multimedia in the education for teacher training courses. Ph.D. and Masters’ supervision has an emphasis on multimedia/ virtual reality for the rehabilitation of children with disabilities and patients with mental health issues. She has supervised altogether 180 BSc and MSc thesis works from 1997. Her students received numerous awards.\nDr. Lányi received several awards, the most important ones are: “Master teacher” award of the Hungarian Ministry of Education (2001), the \\"Kalmar\\" award from the John von Neumann Computer Society (2016), the “Hungarian Higher Education Plague” of the Ministry of Human Capacities (2016), the “Diamond-Award from the Association for the Advancement of Assistive Technology in Europe (2015), which is a personal recognition, granted for outstanding work in advancing assistive technology in Europe and the “King Salman Award for Disability Research” of the King Salman Center for Disability Research (2018).\nShe was the secretariat manager of EDeAN in 2009 and the representative of Hungary in IFIP Technical Committee 13: Human-Computer Interaction (TC13) in the period of 2008-2018. 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1. Introduction
Computed Tomography (CT) scanners essentially consist of a rotating X-ray tube emitting a fan-beam of X-rays mounted on a gantry opposite a set of curvilinear detector rows. The X-ray beam, collimated at source and prior to detection, rotates around the patient who lies on a table that passes through the gantry. The gantry may either move sequentially down the table (step and shoot) or the table and the gantry move together (helical scanning) thereby reducing scan times and improving temporal resolution.
Early CT scanners, with only one detector and a pencil beam, took approximately 3 minutes to complete one 360º rotation around the patient. Fan shaped x-ray beams, increasing the number of detectors and the advent of slip-ring technology allow modern CT scanners to have speeds in excess of 330ms per rotation (with their absolute mechanical limit being between 50 and 200ms) and has allowed cardiac CT to flourish, and in particular allows motion free images of the coronary arteries to become a reality. (Kalender, 2000, as cited in Nicol & Padley, 2007a).
The detectors sense and record the attenuation of the X-ray beam for any given point in the imaged slice. In Cardiac CT (CCT) images are obtained with slice thicknesses as thin as 0.4mm. The X-ray attenuation is translated into a numerical value (Hounsfield Units (HU)). Multiple attenuation values are obtained from any given point during the rotation of the X-ray tube. Filtered back projection is then automatically performed to achieve a final attenuation value. These values are converted and mapped to form a grey-scale image.
Magnetic resonance uses a strong static magnetic field to effectively magnetise the protons in the body. Radiofrequency pulses are transmitted to excite the protons in the tissue being imaged and an echo signal is produced and recorded in the receiver coils and these are used to produce an image. Different types of pulse sequences can be used to take advantage of the different relaxation characteristics of the tissue to help generate image contrast. Typically a 1.5 tesla (T) MRI scanner is used for cardiac MR (CMR) and superior image quality is achieved by using higher numbers of receiver channels.
2. Technical aspects of CT and MR coronary angiography
CT and MR coronary angiography (CTCA and MRCA) depend on three main factors – spatial resolution, temporal resolution and contrast resolution.
2.1. Spatial resolution
Spatial resolution is defined as the ability to distinguish two separate objects in close proximity (Fig. 1) (Smith, 1997).
Figure 1.
Spatial resolution, expressed as line pairs/mm (lp/mm), is considered the point at which the individual strips cannot be readily distinguished by the eye. A line pair gauge such as this one is typically used to measure this. Reproduced with permission (Smith, 1997).
This is critically important in coronary artery imaging as coronary arteries have small luminal diameters, approximately 5mm at the ostia, tapering distally (or within the branches) to < 1mm. As CT and MR values for any given point is represented as a voxel (a three dimensional pixel), the smaller the voxel, the higher the spatial resolution. Other factors that affect spatial resolution may be fixed or variable. Fixed (non-modifiable) factors include scanner capabilities and patient size whilst variable factors include heart rate and motion artefact that can, to large extent, be mitigated.
2.1.1. Fixed factors
Current CT scanners generate images with isotropic voxel sizes as small as 0.4mm3. Importantly, the detector thickness of the scanner determines the z-axis “in-plane” resolution which varies between manufacturers from 0.4 to 0.7mm (Nicol & Padley, 2007a). As a result of this limitation CTCA can currently only distinguish stenoses to within 30% accuracy, compared with 10% on invasive coronary angiography (ICA) with a spatial resolution of 0.1-0.2mm. The spatial resolution of MR is typically 1-1.5mm but high resolution black blood images may be as low as 0.6mm.
2.1.2. Variable factors
In CT and MR the attenuation or signal values within each voxel are averaged out before being displayed on a grey scale image. Slice thickness is also modifiable; the thicker the slice, the greater the volume averaged and therefore the lower the spatial resolution. The trade-off with higher spatial resolution is increased noise. In both CCT and CMR spatial resolution can be improved by reducing the field-of-view, akin to zooming into an image. In CT coronary angiography, thin-cuts are obtained with the field of view reduced to just larger than the cardiac boundaries (Fig. 2).
Figure 2.
The acquired scan is reconstructed to give a wide field-of-view (FOV) to include the lungs (a) and a smaller FOV to increase spatial resolution of cardiac structures (b).
Figure 3.
Both cardiac and respiratory motion can lead to step artefact. These appear as horizontal lines on the sagittal dataset (panel a) and missing sections of the right coronary artery (blue arrowheads) on the volume rendered reconstruction (panel b). Respiratory rather than cardiac motion artefact can be distinguished by the involvement of the sternum (yellow arrowhead) in the former (panel a). (RV=Right Ventricle; Ao=Aorta; PA=Pulmonary Artery; LA=Left Atrium; SVC=Superior Vena Cava; LAD=Left Anterior Descending artery.)
Motion artefact impairs spatial resolution in both CCT and CMR. A well-prepared and co-operative patient who is able to comply with the breathing instructions will reduce the chance of step artefact (in CCT) (Fig. 3) and blurring (in CMR) due to respiration or movement. Reducing the heart rate reduces cardiac motion by increasing the diastolic phase during which coronary arteries move least. Arrhythmias, especially if irregular, may make prospectively gated studies impossible.
2.2. Temporal resolution
Cardiac motion artefact can also be reduced by acquiring images faster. In CCT this is achieved by increasing the speed of rotation of the gantry and the pitch of the table. This is similar to selecting a faster shutter speed on a camera and enables fast-moving structures such as coronary arteries to be captured with minimal blurring. Standard single source scanners with temporal resolution of 165 to 250 ms require heart rates to be <65bpm for optimal coronary image quality, and pharmacological rate control, usually with β-blockers, is ubiquitous. Dual source CT scanners have reduced the temporal resolution in CCT to 75ms with each detector array requiring only a quarter scan of data. This has made acquisition of CTCA possible at almost any heart rate (Flohr et al., 2006); however image quality is still improved at lower heart rates.
The temporal resolution of CMR is typically 50ms. It is preset by the technician and is not constrained by MR hardware as with CT. However, tachycardia does adversely affect image quality and lower heart rates are more desirable as the scan time is reduced and more k space is filled during each cardiac cycle (Kato et al., 2010).
2.3. Contrast resolution
Contrast resolution is the ability to distinguish between objects of different attenuation or signal when they are next to each other. In CT the coronary arterial wall and lumen have similar attenuation values and administration of intravenous contrast is therefore required. Adequate and well-timed opacification enables differentiation of the vessel wall from the lumen. Various components of atherosclerotic plaque also have different densities and are able to be characterised. This is an advantage of CTCA when compared with the pure lumenography of invasive catheter angiography. Coronary calcium can be readily identified on an unenhanced CT scan. However lipid-rich soft plaque, that is more prone to rupture and vessel remodelling are not visible without contrast administration (Fig. 4).
In CMR, exogenous contrast agents are usually not required. In 2D black blood sequences, a dual inversion recovery prepulse is used to make the blood appear black with persisting signal within the walls of the coronary arteries, producing images with reasonable contrast. For bright blood sequences, prepulses make the blood appear bright with adjacent tissues including myocardium and fat appearing dark. The prepulses used include T2 preparation pulses and fat saturation techniques, pre-programmed into the CMR sequence.
2.4. Patient preparation
Patient preparation is probably the most vital part of ensuring diagnostically adequate studies in both CCT and CMR. The patient selection process should identify those who would benefit from CTCA or MRCA and those who would be suitable to have the scan. Attention should be paid to patient factors such as excessive body mass index, arrhythmias, potential inability to keep still or follow breathing instructions or claustrophobia. If present, alternative means of coronary assessment should be considered.
Figure 4.
Eccentric plaque (yellow arrows) can lead to positive remodelling (panel a) where the vessel expands to preserve lumen size, however continued plaque accumulation eventually leads to stenosis (panel b).
All patients referred for CCT or CMR should receive a patient information leaflet outlining the process of their scan. Patients are usually told to take their usual medications, including cardio-active medications, and to avoid consuming caffeine for twelve hours prior to the scan. On arrival, baseline observations including a heart rate and blood pressure should be taken. Patients should complete a questionnaire about allergies, relevant medical conditions and medications.
For CCT, contraindications to β-blockade and glyceryl trinitrate (GTN) are also ascertained. Intravenous access in the right antecubital fossa that allows rapid flow of contrast should be sited (18G or 20G cannula). The right side is used as it prevents high density contrast traversing the thorax and obscuring the cardiac structures through streak artefact (Nicol et al., 2008a).
For both CT and CMR, ECG electrodes are placed in the appropriate positions on the patient’s chest to obtain a good amplitude R wave on the ECG trace. For CCT, where a low heart rate is critical, the heart rate is monitored and if just greater than 70 beats per minutes (bpm), breathing instructions alone may reduce the heart rate to < 65bpm. If the heart rate remains greater than 70bpm, negative chronotropic agents should be considered to reduce the heart rate.
For CCT the commonest drug used to reduce the heart rate is metoprolol. It is cheap, has a short half-life and is available in oral and intravenous (IV) forms, both of which are equally efficacious. Ideally, patients should be rate controlled prior to attendance at the CT department; however, if the heart rate remains high, IV metoprolol can be given immediately before acquisition. Ivabridine (Procoralan) can be used as an alternative to β-blockade in those with contra-indications. Sublingual GTN can be administered to promote vasodilatation of the coronary arteries and improve image quality but the patient should be warned about headaches as possible side effects (McParland et al., 2010).
2.5. ECG gating
Once the patient’s heart rate is optimised, the appropriate CCT or CMR gating protocol is selected for the acquisition.
For CCT gating may be prospective or retrospective depending on the clinical scenario and information required. Cardiac motion is usually least in diastole, usually between 60-80% of the R-R interval (Fig. 5). However, in patients with heart rates greater than 70bpm, imaging the heart in end-systole (35% of the R-R interval) may be better (Hoffmann et al., 2005).
Figure 5.
Sample gated ECG where the heart is scanned during 60-80% of the cardiac cycle (diastole). This is when cardiac motion is likely to be at its minimum.
In order to minimise radiation dose, prospective gating (with variable temporal padding) is usually preferred if the heart rate is between 55 and 70bpm. However, if the heart rate cannot be optimised to less than 70bpm, or is irregular, a retrospectively gated study should be considered. Even with retrospective gating, newer scanning algorithms are able to limit the higher dose delivered to diastole (dose modulation). However, even with this, the retrospectively gated acquisition confers a higher radiation dose to the patient. However, as the heart is imaged throughout the whole cardiac cycle, additional information on cardiac output, ejection fraction and wall motion analysis can be obtained. With increasing experience, it may also be possible to perform diagnostically adequate prospectively gated studies in patients with certain arrhythmias as long as the heart rate variability is not too extreme. In CMR, prospectively triggered and gated scans are acquired.
3. Acquiring CTCA and MRCA
3.1. CTCA acquisition
The CT coronary angiogram is acquired in several steps – topogram, coronary calcium score, test bolus and contrast enhanced coronary angiogram.
3.1.1. Coronary calcium scoring
The presence of calcium is a surrogate marker for atherosclerosis and an independent risk factor of future coronary risk. It is used as an adjunct to conventional risk stratification. To obtain a coronary calcium score, an un-enhanced scan is performed from the carina to just below the diaphragm. Good contrast resolution with CT enables quantification of the overall burden of disease. The usual scoring system is the Agatston calcium score (Agatston et al., 1990). Software used in coronary calcium scoring automatically detects any structure >130HU. The aggregate score of all detected calcium which lies within the coronary arterial tree is used to calculate the overall coronary calcium score.
3.1.2. Contrast administration (test bolus and CTCA)
Intravenous contrast administration improves the contrast resolution of the coronary angiogram and is essential for lumenography. For CTCA a high iodine concentration (300-370 mg/ml) is required for appropriate opacification. Usually the contrast injection is given as a timed bolus followed by a saline push to concentrate the dye in the left heart and aorta. The minimisation of contrast within the right heart and SVC reduces the likelihood of streak artefact interfering with the interpretation of the proximal right coronary artery.
The accuracy of the timing of the bolus may be improved by the use of a test bolus or bolus tracking to accurately determine the time taken to achieve peak concentration in the ascending aorta prior to full coronary assessment.
The test-bolus method determines the time to peak concentration of a small bolus of contrast in the aortic root. This time plus an additional 3-5 seconds (to allow adequate coronary opacification) is then used for the CTCA acquisition. The test bolus allows the patient to be aware of the common side effects of flushing and hopefully negates the potential heart rate response during the full CTCA contrast administration. Bolus tracking is similar to the test bolus but the scan and contrast injections are activated simultaneously. Once the contrast opacification in the region of interest reaches a predetermined threshold (usually 100-150HU), and following a preset delay (usually 5-8 second) to allow for breathing instructions or table movement, the full scan is started and the CTCA is acquired. Whilst the total radiation dose is slightly less, the timed bolus does not allow much room for error.
Whilst newer contrast media have an improved allergenic profile, any cardiac CT imaging service must be equipped to handle any potential contrast reactions. Patients with contrast media allergy may still undergo an un-enhanced coronary calcium score so that some information about their coronary risk profile can be obtained.
3.2. Post processing
CTCA images are best viewed on dedicated post-processing workstations. The table below shows the commonly used post-processing display protocols highlighting their advantages and drawbacks (Table 1).
Protocol
Advantages
Disadvantages
Trans-axial or “raw” Data scrolling (fig.6)
-Actual data set -Accurate indentification stenoses -Multiple “stacks” at different phases allow selecton of optimal phase
-Need to be viewed in standard stacks, not good for communicating detail of vessels to non-radiologists -No 3-D perspective
Multiplanarreformat (MPR)(Fig.7)
-Interactive, semi-automated olique or curved vessels plotted from axial, sagittal orcoronal images to show vessel in its entirety -360ºrotations enables visualisation of eccentric and circumferential stenoses -Accurate quantification of stenoses
-Image quality highly dependet on resolution and isotropy of original data volume set
Curved (MPR) (cMPR)(fig.8)
Curved vessels can also be shown in complete linear conformation -Advantages as for MPR
-Distortion of actual configuration of anatomical structures related to vessel of interest
Maximum intensity Projection(MIP)(fig.9)
-Enhances differentiation between high attenuation structures such as enhanced vascular structures and lower attenuation structures such as soft tissue -Allow more accurate quantification of “soft plaque” stenoses
-Loss of differentiation in regions of heavy calcification and stents due to over- projection of high density structures into the lumen -No visualisation of the vessel wall
Volume rendered (fig.10)
-Intuitive, coloured images, allows assessment of whole 3D structures, good for communication of anatomy to non-radiologists -Can “grow” coronary tree
-Not suitable for plaque assessment or accurate measurements -Poor visualisation of calcium and stens
Table 1.
Comparison of commonly used post-processing display protocols. (Reproduced with permission from Nicol & Padley, 2007b).
Figure 6.
Axial raw data through the heart showing the right and left coronary ostia (yellow and blue arrows respectively).
Figure 7.
Sagittal multiplanar reformat showing the closed aortic valve in profile (yellow arrow), open mitral valve (blue arrow) and right (blue arrowhead) and left (yellow arrowhead) coronary ostia. (LV=Left Ventricle; LA=Left Atrium;Ao=Aorta;dAo=descending Aorta).
Figure 8.
Two curved multiplanar reformat images of the right coronary artery. These are obtained by rotating the image about a centreline through the artery.
Figure 9.
Sagittal maximum intensity projection of showing the right (blue arrowhead) and left (yellow arrowhead) coronary ostia. (RV=Right Ventricle; Ao=Aorta;dAo=descending Aorta; LA=Left Atrium; LVOT=Left Ventricular Outflow Tract).
Figure 10.
Volume rendered image demonstrating a left anterior oblique view of the heart. The right coronary (yellow arrow), left anterior descending (blue arrow) and left circumflex (yellow arrowheads) arteries are clearly seen. (Ao=Aorta).
3.3. MRCA acquisition technique
There are two major hurdles to overcome when performing MRCA; respiratory and cardiac motion. Two methods are used to acquire MRCA images. These are breath-hold and free-breathing, coronary MRA. MRCA, as with CTCA, is further hampered by arrhythmias.
Breath-hold MRCA attempts to suppress respiratory motion by acquiring images in periods of apnoea. This technique allows both two-dimensional (2D) sequential images and subsequent shorter 3D imaging with first pass intravenous contrast. However, image quality is often suboptimal due to limited patient co-operation secondary to fatigue or inability to follow instruction adequately. Additionally breath holding is frequently associated with cranial drift of the diaphragm (of up to 1cm) (Danias et al., 1998), further limiting the final resolution of the images. These limitations may result in registration errors with apparent gaps in the coronary arteries that may be misinterpreted as signal voids from stenoses. As a result of these limitations free breathing navigator sequences are now most commonly used for MRCA.
Navigator sequences are used to correct for, and reduce the effects of, respiratory motion (Fig. 11). The position of the diaphragm is tracked and image data is only acquired at end expiration when respiratory motion is minimal or absent. Prospective ECG gating is used to correct for cardiac motion and data is only collected when coronary artery motion is known to be minimal. As with CTCA, this is usually mid-to-late diastole, however, at higher heart rates end-systole may be preferable. The disadvantages of this technique are that scan times are long with a full coronary dataset taking between 5 and 15 minutes to acquire (Sakuma et al., 2005, 2006). This is due to the fact that this technique is very inefficient with often less than 2% of the scan time being used to acquire data when there is neither coronary nor respiratory motion. The data acquisition is pre-programmed into the MRCA sequence,
Figure 11.
Coronal view of the MRCA sequence showing the right coronary artery (arrowheads) as it passes through the AV groove. The left main stem is seen in cross-section (arrow) as it passes underneath the right pulmonary artery (RPA). (RV=right ventricle; MPA=main pulmonary artery; LA=left atrium).
although the user must define the time of least coronary motion at the time of acquisition. More recently 3D data acquisition during a single breath-hold using steady state free precession (SSFP) and parallel imaging has become possible (Deshpande et al., 2001) producing high resolution and high quality images with reduced scan times (Jahnke et al., 2005). Parallel imaging (with under sampling in two rather than one phase encoding direction) further reduces scan time but requires large coil arrays (Nehrke et al., 2006; Niendorf et al., 2006).
Newer self-navigated, free-breathing, whole heart MRCA techniques further improve image quality due to reduced respiratory and cardiac motion artifact. This technique uses a synchronous respiratory signal from the echoes acquired during imaging. The motion information is then retrospectively corrected, improving temporal resolution and producing stiller images (Stehning et al., 2005).
4. Clinical application of CTCA and MRCA
The significant technological improvements in CT imaging have brought CTCA into the forefront of coronary artery disease (CAD) assessment. With the improved temporal and spatial resolution, CTCA has become a viable alternative to invasive coronary angiography (ICA) in patients with low to intermediate likelihood of CAD (Schuijf et al., 2011). ICA however remains the most appropriate test in those with a high probability of severe CAD that may require intervention.
More broadly CCT can also be used to assess plaque morphology, and depending on the protocol selected, be used to assess cardiac function (wall motion and ejection fraction), cardiac chamber volumes, myocardial perfusion and be used to image the pericardium, cardiac valves, and pulmonary veins (Nicol et al., 2009). CCT is increasingly used to examine acquired structural or congenital heart disease (Nicol et al., 2007), aberrant coronary vasculature, coronary artery bypass grafts (CABG) (Niemen et al., 2003) and intra-coronary stents (Gaspar et al., 2005).
Figure 12.
Maximum intensity projection image from a navigator coronary MRA sequence demonstrating an aberrant circumflex artery (black arrowheads) arising from the right coronary artery passing between the aorta (Ao) and the right atrium (RA). Note also the resultant artefact (yellow arrowheads) due to cardiac motion. (LA=left atrium).
MRCA is most commonly used to investigate patients with suspected anomalous coronary arteries (Fig. 12) and fistulae, and in children and young adults with suspected coronary artery aneurysms such as in patients with Kawasaki\'s disease. It can potentially be used to assess graft patency in CABG; however the presence of surgical clips may limit graft visualisation. In patients with poor renal function, MRCA can be used to assess the patency of proximal coronary arteries in patients undergoing major cardiac surgery, such as valve replacement, as no contrast agent is used.
4.1. CT and MR coronary angiography
Unlike ICA that provides a “lumenogram”, a good quality CTCA can demonstrate both the lumen and the wall. The real strength of CTCA is its negative predictive value (usually over 99% cf. ICA), effectively ruling out coronary artery disease in those with a normal study (Budoff et al., 2008; Meijboom et al., 2008). The positive predictive value of CTCA is less favourable due its comparatively limited spatial resolution. The diagnostic accuracy of CTCA is further impaired by the presence of heavy coronary calcification, which may lead to the overestimation of stenoses. All coronary stenoses should be viewed from multiple angles and appropriate window settings to reduce “blooming” artefact from calcium. If contrast is seen passing alongside a calcified lesion in any plane, then the stenosis is unlikely to be more than 50% on ICA. CTCA is as effective in determining soft plaque burden as intravascular ultrasound (IVUS) (Leber et al., 2006). Clinically this is important due to the higher prevalence of soft plaque in those patients with acute coronary syndromes than those who have stable angina (Korosoglou et al., 2010; Motoyama et al., 2007). An algorithm for the investigation of symptomatic patients based on their pre-test probability is suggested (Fig. 13).
Figure 13.
Potential algorithm for sequential imaging of anatomy and function for diagnosis and management of coronary artery disease (CAD) based on pre-test probability in symptomatic patients. A low to intermediate pre-test probability favours initial evaluation of the presence or absence of obstructive stenosis, since the prevalence of obstructive CAD will be low. As a consequence only a few patients will have abnormalities that may require further testing and revascularisation. (LM = left main coronary artery; 3VD = triple vessel disease.) Adapted with permission from Schuijf JD et al., 2011).
Like CTCA, MRCA is able to demonstrate both the lumen and vessel wall. However CMR studies routinely provide additional cardiac anatomy and functional information. Compared with CTCA the speed of acquisition and spatial resolution of MRCA has so far limited its use clinically. There are important technical differences between CTCA and MRCA; in CTCA the right coronary artery is often the most difficult vessel to image due to movement artifact, especially in prospectively acquired imaging, but in MRCA the left circumflex artery is relatively difficult to image due to its distance from the receiver coil and its proximity to the great cardiac vein (Danias et al., 1999). As with CTCA, multiple studies have assessed the accuracy of MRCA for the detection of significant CAD. In essence MRCA, like CTCA, has a high negative predictive value but variable specificity and positive predictive value (Danias et al., 2004; Kato et al., 2010; Kim et al., 2001; Schuetz et al., 2010). MRCA is particularly useful in left main coronary and three vessel disease assessment (Kato et al., 2010; Kim et al., 2001) (Fig. 14) but overall 1.5T CMRA is comparable with 16 MDCT when assessing the entire coronary tree (Kefer et al., 2005).
Wall thickness and plaque characterisation are significant areas of research in both CTCA and MRCA as plaque rupture and myocardial infarction can occur in the absence of significant luminal narrowing. In MRCA, T1 weighted 2D and 3D black blood imaging can detect atherosclerotic plaque and determine wall thickness and thus positive remodelling (Fayad et al., 2000; Kim et al., 2002), whilst CTCA studies have demonstrated that the presence of positive remodelling and “spotty” plaque morphology (a predominantly soft plaque with some areas of calcification within it) are strongly associated with subsequent
Figure 14.
Maximum intensity projection image (a) from a navigator coronary MRA sequence demonstrating a normal calibre left anterior descending artery (arrowheads). The second image (b) shows non-occlusive, non-calcified plaque (arrow) in the mid left anterior descending artery (arrowheads) on this coronary MRA. (Ao=aorta; LV=left ventricle; PA=pulmonary artery).
acute coronary syndrome (Motoyama et al., 2007). MRCA has been used to demonstrate positive remodelling in diabetic patients with nephropathy compared with those without (Kim et al., 2007) and recent evidence demonstrates that high signal on T1 weighted images seen in plaques in the walls of coronary arteries is associated with positive remodelling. This suggests MRCA may also be useful for investigating complex plaques non-invasively (Kawasaki et al., 2009). Late contrast enhancement of the coronary arterial wall in MRCA has been seen in areas of calcific plaque and significant stenotic lesions following recent infarcts (Yeon et al., 2007; Ibrahim et al., 2009) and it has been proposed that late contrast enhancement may be useful in visualisation of inflammatory activity in atherosclerosis associated with acute coronary syndrome. For early CAD assessment, recent studies have shown that MRCA can demonstrate endothelial loss of normal vasomotor tone prior to the development of any vascular remodelling (Hays et al., 2010).
4.2. Coronary stent assessment
Clinically all stents are susceptible to varying degrees of neo-intimal hyperplasia, in-stent re-stenosis and complete occlusion. The metal in the stents make them easily visible on CT (Fig. 15) however CTCA analysis of stents must be done cautiously due to “blooming” artefacts (Nicol & Padley, 2007b). Blooming is worse with bare metal stents than drug eluting stents but CTCA has been shown to be clinically reliable for stents >3mm in diameter and is clinically useful in the assessment of left main stem stents (Pugliese et al., 2008). Stents of smaller calibre are less easily assessed and caution is advised when attempting to determine the severity of stenoses.
4.3. Coronary artery bypass graft assessment
The inherent larger calibre of vessel grafts, relative immobility and lack of calcification, make them ideally suited to CTCA analysis (Fig. 16). Indeed, the sensitivity and specificity of CTCA in graft patency analysis has been shown to be 95-100% and 94-100% respectively (Nieman et al., 2003).
Figure 15.
Curved planar reformat of a metal stent extending from the left main stem (blue arrowhead) into left anterior descending (blue arrow) and left circumflex (yellow arrow) arteries.
Figure 16.
Volume-rendered images demonstrating quadruple coronary artery bypass grafts. There are a vein graft to the right coronary artery (yellow arrow), two vein grafts supplying the acute marginal and lateral marginal branches of the LCx (blue arrows) and a left internal mammary artery graft supplying the left anterior descending artery (arrowheads).
However, complete examination of grafts and their patency should include assessment of their run-off which may be limited with CT. Limitations of CTCA include blooming artefact from surgical clips which can particularly affect distal LIMA anastomosis assessment. CABG patients often have significant and heavy calcification, which can also cause blooming artefact on CTCA. MRCA can also be used to assess CABG but again surgical clips may hinder full assessment.
4.4. Functional information
Whilst CMR remains the gold-standard for cardiac functional analysis, retrospectively gated CCT studies allow assessment of global and regional left ventricular function with good correlation with both CMR and transthoracic echocardiography (Nicol et al., 2008b). It is important to be aware of limitations of CCT however when assessing both global and regional wall motion abnormalities especially if not reconstructing 100% of the cardiac cycle. Whilst end-systole and end-diastole usually fall at around 35% and 65% respectively there is significant inter-patient variation and values from the analysis may not reflect that of CMR or echocardiography that routinely utilise the whole cardiac cycle. Importantly, when assessing functional CT data regional wall motion abnormalities in the absence of impaired systolic wall thickening should also be treated with caution as they may be artefactual (Nicol et al., 2008).
5. Clinical application of CTCA and MRCA in congenital and structural heart disease assessment
Both CCT and CMR are able to demonstrate complex anatomy in congenital cardiac disease. CMR remains the gold standard for adult congenital heart disease assessment but the increasing availability, speed of acquisition and superior spatial resolution of CCT makes it a viable alternative in many clinical situations (Nicol et al., 2007). CMR is generally contraindicated in patients with pacemaker and implanted defibrillator devices.
Unlike CMR, that offers complete cardiothoracic visualisation, CCT is only able to demonstrate both the coronary anatomy and the pulmonary arterial trunk with extended injection protocols that increase right heart and pulmonary opacification in addition to the coronary anatomy (Nicol et al., 2009). CTCA is the gold standard for the full delineation of aberrant coronary anatomy, however MRCA is, in most patients, adequate for delineation of the clinically important coronary ostia and using dedicated sequences can also sometimes produce diagnostic images of the entire coronary tree. As a general rule, MRCA should be considered first line if radiation exposure is likely to be higher than acceptable, i.e. in children or young females, and MRCA should certainly be considered in those requiring regular follow up such as Kawasaki’s disease.
Increasingly CCT is used for acquired structural heart disease and assessment of valve disease using planimetry and assessment of valve function on cine images acquired in retrospectively gated studies is gaining clinical acceptance (Chheda et al., 2010). It is important to remember however that CCT is unable to assess flow and is therefore inferior to both CMR and echocardiography for the assessment of valve gradients.
Combined cardiac and non-cardiac angiography is now used in the assessment of trans-catheter aortic valve implantation (TAVI). Assessment of the aortic root size, aortic pathology (plaque burden, calcification, vessel tortuosity), access routes (ilio-femoral and subclavian arteries), coronary arteries and valve calcification can all be assessed using CT angiography (Ewe et al., 2011) (Fig. 17).
6. Future developments in CT and MR
6.1. CCT imaging
There have been significant advances in CT scanner technology over the last decade with the advent of increasing numbers of detectors (up to 320) allowing whole heart coverage
Figure 17.
Volume rendered images of the aorta obtained as part of the TAVI assessment protocol. The level of the aortic root (yellow arrow), right subclavian artery origin (blue arrowhead), right carotid artery (yellow arrow head) and left brachiocephalic artery (blue arrow) are shown in (a). The tortuosity of the iliofemoral arteries (yellow arrowheads) demonstrated in (b), will help with surgical planning.
without table feed, and fast pitch dual source CT allowing a full cardiac acquisition in a fraction of a second with radiation doses routinely <1mSv for a CTCA.
Future technological advances are likely to remain focused on rapid acquisition of cardiac data at low ionizing radiation doses. This may be achieved using a variety of techniques such as multi-source, multi-energy CT or inverse geometry CT.
6.2. Multi-source, multi-energy CT
By increasing the number of X-ray sources it may be possible to further reduce the temporal resolution by two-thirds with the addition of a third source (58ms) or three-quarters with a fourth (41ms), however the weight of each additional X-ray source may reduce the overall gantry rotation time negating any additional benefit. The use of air bearing systems may allow this but the ability to overcome the effects of high centrifugal forces remains a significant challenge.
The major advantage of dual source CT (DSCT) technology is the ability to acquire a complete dataset using one-quarter of a gantry rotation time, thereby reducing the temporal resolution by half. The second advantage of dual headed CT is the ability to acquire the dataset at differing energies (Dual energy CT (DECT)). It is also possible to perform DECT on single headed scanners by rapidly alternating kV from a single tube. Either technique fundamentally alters the penetration of the X-ray beam and therefore the attenuation by tissues. By subtracting one dataset from the other it is possible to, for example to artificially “remove” calcium or contrast, potentially spelling the end for non-enhanced CT preceding contrast studies. It may also be used to assess myocardial densities at different energies, paving the way for potential tissue characterization in infarct or ischaemic myocardium. DECT subtraction techniques are currently limited to large calibre vessels such as the aorta as the resolution of the current generation of CT scanners is not yet sufficient to apply this to the coronary arteries.
6.3. Inverse Geometry CT (IGCT)
IGCT is a novel system under investigation that employs a large array of X-ray sources opposite a smaller detector array (Fig. 18). It is anticipated to be able to image a thick volume in a single gantry rotation with isotropic resolution. The ability to image a volume is primarily determined by the size of the X-ray source array, in much the same way that it is determined by the size of the detector array in a conventional CT system. As well as demonstrating low wasted radiation (Mazin et al., 2007) (and therefore a much smaller radiation requirement), this technique also has the potential to maximise gantry rotation time further reducing spatial resolution.
Figure 18.
Standard MDCT (a) requires an 18cm detector array when scanning a 10cm region of interest (due to cone beam) introducing artefacts at beam edges. Inverse Geometry CT (IGCT) (b) uses multiple x-ray sources and only requires a 10cm detector array for a 10cm region of interest, reducing detector size and weight, reducing cone beam artefact and producing greater signal to noise ratios for reduced radiation exposure.
Future advances in material technology will also advance CT imaging with flat panel technology already under investigation. The use of strong light weight materials may also overcome some of the mechanical limitations that prevent faster gantry rotation times today and may improve spatial and temporal resolution to nearer that of interventional coronary angiography.
6.4. 3T CMR imaging
At 3T, there is improved signal to noise ratio (SNR) as SNR is proportional to the field strength of the static magnetic field (Singerman et al., 1997). 3T results in better spatial and temporal resolution and shorter scanning time. There is a doubling of SNR and a 4-fold reduction in scanning time using 3T parallel imaging and spatial harmonics compared with 1.5T. Additionally, at higher field strengths the prolongation of the T1 values make spin labelling techniques more attractive. However triggering is more problematic at higher field strengths (3T and 7T) as the enhanced magneto-hydrodynamic effect produces an artifactual voltage that is overlaid on the T wave of the ECG. This can result in triggering off the T wave (rather than the R wave) making it difficult to reliably identify the time of least coronary motion. Using sophisticated R wave detection algorithms this problem can be overcome.
MRCA at 3T has been performed (Stuber et al., 2002) however although the contrast to noise ratio is improved, there is no overall improvement in image quality or diagnostic accuracy (25). 3T MRCA has been shown to have high sensitivity and specificity for the detection of significant (>50%) coronary stenoses (Yang et al., 2009), possibly even being comparable to 64 MDCT (Hamdan et al., 2011) when using contrast-enhanced methods that rely on double dose infusion of contrast media. This is required as gradient-echo sequences are used instead of SSFP sequences due to the need to overcome magnetic field inhomogeneity and radiofrequency energy deposition at high field strengths (Bi et al., 2007; Liu et al., 2008). It is hoped that the use of sophisticated shimming algorithms and adiabetic T2 preparations will further improve acquisition at 3T (Nezafat et al., 2006; Schär et al., 2004) in the future.
7. Future application of CTCA and MRCA
Both CCT and CMR continue to develop rapidly. The applications for CTCA continue to expand and with the development of myocardial perfusion and scar imaging the ability to look at the coronary lumen and vessel wall and gain functional information about both the blood flow and myocardial function will see this field continue to expand.
The recent UK NICE guidelines include CTCA within their recommendations for patients with chest pain (NICE, 2010) and the ever growing demand for rapid exclusion or confirmation of coronary artery disease are likely to see CTCA become a far more ubiquitous tool used in almost all hospitals.
As radiation doses continue to fall and as CTCA research produces outcome and cost effectiveness data, the role and utilisation of this rapidly evolving technology is likely to increase further. The combination of newer technology has raised the possibility of assessing flow; indeed venous and arterial phases of cerebral flow can already be imaged using CT and this opens up many possibilities for potential cardiac flow assessment in the future.
In MRCA, the greater availability of more powerful magnets, increased number of receiver coils and more sophisticated algorithms, may reduce imaging time. MRCA may become routine in the early detection of coronary artery disease at the positive remodelling stage or even earlier. Plaques at risk of rupture may be identified early and intervention undertaken before myocardial damage occurs.
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Introduction",level:"1"},{id:"sec_2",title:"2. Technical aspects of CT and MR coronary angiography",level:"1"},{id:"sec_2_2",title:"2.1. Spatial resolution",level:"2"},{id:"sec_2_3",title:"2.1.1. Fixed factors",level:"3"},{id:"sec_3_3",title:"2.1.2. Variable factors",level:"3"},{id:"sec_5_2",title:"2.2. Temporal resolution",level:"2"},{id:"sec_6_2",title:"2.3. Contrast resolution",level:"2"},{id:"sec_7_2",title:"2.4. Patient preparation",level:"2"},{id:"sec_8_2",title:"2.5. ECG gating",level:"2"},{id:"sec_10",title:"3. Acquiring CTCA and MRCA",level:"1"},{id:"sec_10_2",title:"3.1. CTCA acquisition",level:"2"},{id:"sec_10_3",title:"3.1.1. Coronary calcium scoring",level:"3"},{id:"sec_11_3",title:"3.1.2. Contrast administration (test bolus and CTCA)",level:"3"},{id:"sec_13_2",title:"3.2. Post processing",level:"2"},{id:"sec_14_2",title:"3.3. MRCA acquisition technique",level:"2"},{id:"sec_16",title:"4. Clinical application of CTCA and MRCA",level:"1"},{id:"sec_16_2",title:"4.1. CT and MR coronary angiography",level:"2"},{id:"sec_17_2",title:"4.2. Coronary stent assessment",level:"2"},{id:"sec_18_2",title:"4.3. Coronary artery bypass graft assessment",level:"2"},{id:"sec_19_2",title:"4.4. Functional information",level:"2"},{id:"sec_21",title:"5. Clinical application of CTCA and MRCA in congenital and structural heart disease assessment",level:"1"},{id:"sec_22",title:"6. Future developments in CT and MR",level:"1"},{id:"sec_22_2",title:"6.1. CCT imaging",level:"2"},{id:"sec_23_2",title:"6.2. Multi-source, multi-energy CT",level:"2"},{id:"sec_24_2",title:"6.3. Inverse Geometry CT (IGCT)",level:"2"},{id:"sec_25_2",title:"6.4. 3T CMR imaging",level:"2"},{id:"sec_27",title:"7. Future application of CTCA and MRCA",level:"1"}],chapterReferences:[{id:"B1",body:'ASAgatstonJanowitz. W. R.HildnerF. J.ZusmerN. R.ViamonteM.DetranoR.Quantification of coronary artery calcium using ultrafast computed tomography. 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M.SchlattmannP.DeweyM.Meta-analysisNoninvasive.coronaryangiography.usingcomputed.tomographyversus.magneticresonance.imagingAnnals of Internal Medicine\n\t\t\t\t\t1523February 20101671770003-4819'},{id:"B47",body:'SingermanR. W.DenisonT. J.WenH.BalabanR. S.Simulationof. B.fielddistribution.intrinsicsignal-to-noise.incardiac. M. R. I.asfunctiona.ofstatic.magneticfield.Journal of Magnetic Resonance\n\t\t\t\t\t1251March 199772831090-7807'},{id:"B48",body:'Smith SW.1997-1998Special Imaging Techniques. In: The Scientist and Engineer’s Guide to Digital Signal Processing. 423427California Technical Publishing, 0-09660176-3-3USA. Available from http://www.dspguide.com'},{id:"B49",body:'SommerT.HackenbrochM.HoferU.SchmiedelA.WillinekW. A.FlackeS.GiesekeJ.TräberF.FimmersR.LittH.SchildH.CoronaryM. 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American Journal of Neuroradiology\n\t\t\t\t\t282February 20072872920195-6108'},{id:"B53",body:'YangQ.LiK.LiuX.BiX.LiuZ.AnJ.ZhangA.JerecicR.LiD.Contrast-enhanced whole heart coronary magnetic resonance angiography at 3.0T: A comparative study with x-ray angiography in a single centre. Journal of the American College of Cardiology\n\t\t\t\t\t541June 200969760735-1097\n\t\t\t'},{id:"B54",body:'YeonS. B.SabirA.ClouseM.MartinezclarkP. O.PetersD. C.HauserT. H.GibsonC. M.NezafatR.MaintzD.ManningW. J.BotnarR. M.Delayed-enhancement cardiovascular magnetic resonance coronary artery wall imaging: Comparison with multislice computed tomography and quantitative coronary angiography. Journal of the American College of Cardiology\n\t\t\t\t\t505July 20074414470735-1097'}],footnotes:[],contributors:[{corresp:"yes",contributorFullName:"Mohanaluxmi Sriharan",address:"",affiliation:'
Department of Radiology, Royal Bromptonand Harefield Hospital NHS Trust, London, United Kingdom
Department of Cardiology, Royal Bromptonand Harefield NHS Trust, London, United Kingdom
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1. Introduction
Enamel and dentin constitute different concentrations of organic, water and mineral contents. This accounts for their specific physical-mechanical properties and their integration allow the tooth to be functionally stable in adverse oral conditions [1]. Dentin tissue underlines the enamel and constitutes the bulk of the tooth. The inorganic to organic ratio is different in various tissues, these variations affect the properties of these tissues. The enamel is tougher and most highly resistant to force in comparison to other hard tissue in the body owing to its high inorganic content. On the other hand the dentin with high organic content serves as a resilient layer under enamel and cementum [2]. Enamel shows higher mineralization than cementum as there is more carbon 49% (wt) in cementum than enamel 3% (wt). Enamel being the hardest tissue and dentin being softer whereas X-ray diffraction (XRD) shows cementum has poorest crystallinity. Following decalcification process for separation of organic and inorganic content the organic components of the dentin are retained thereby maintaining the dentin shape. However due to 90% mineral content of the enamel it is lost after decalcification.
2. Enamel
Tooth enamel possess remarkable structural and mechanical properties making it an unique tissue. Tooth enamel is a complex mineralized tissue comprising of long and parallel apatite crystals configured into decussating enamel rods [3, 4]. The enamel consists of 96% inorganic and 4% organic and water content and is the most mineralized tissue. The organic content of enamel is less than that of dentin. The organic content consist of some unique proteins present only in enamel and lipids [5]. The enamel is formed only once before the eruption of the tooth. Following eruption the tooth organ permanently loses the ability to form new enamel [3].
Being highly mineralized enamel could be expected to be brittle and have low fracture resistance. However, the experimental studies proved that the fracture toughness of enamel is equivalent to or even better than some tough ceramics [6, 7].
2.1 Enamel proteins
During the development of enamel, ameloblasts secrete enamel matrix protein. Proteins are large complex molecules that are required for the structure, function and regulating body’s tissues and organs. Enamel matrix proteins bind to the hydroxyapatite structuring the enamel and modulating crystal growth [8, 9]. Initial developing enamel matrix constitutes 60-70% water, 20-30% proteins and 15-20% of mineral ions. Mineralization process leads to resorption of enamel proteins and water leaving very little amount of organic content in matured enamel [3]. Major components of the enamel matrix protein (EMP) are the amelogenins constituting greater than 90% of all the organic content in the enamel [10, 11]. The other type of protein group is the non – amelogenin including enamelins, tuftelin and sheathlins. Other than these two enzymes, matrix metalloproteinase (MMP)-20 and enamel matrix serine proteinase (EMSP)-1 are also present in the EMP (Figure 1) [10].
Figure 1.
Types of enamel matrix proteins.
Enamel proteins consist of 1-2% of the total composition. These proteins are located mainly at the enamel rods interface. The proteins play a role in modulation of the stress in enamel and contributes to the elastic and viscoelastic behavior [12]. Any kind of damage or denaturation of the enamel or dentin non-collagenous proteins can decrease the durability of the tooth [12]. Tooth whitening procedures or treatment with potassium hydroxide leads to loss of enamel proteins causing enamel to be more prone to fracture [12, 13]. Radiation therapy for treatment of oral cancers is also known to damage the enamel proteins [12]. In a study the enamel proteins were extracted using potassium hydroxide treatment from the enamel sections of the molar cusps. The results showed a 40% reduction in fracture toughness in comparison with a fully proteinized control. The organic content of the enamel is very small, but it is of importance crack growth toughening. This is because it helps in forming unbroken ligament and fortify its efficacy [14].
The synthesis and secretion of the organic extracellular matrix is controlled by ameloblasts and deposited along the dentino-enamel junction which eventually controls enamel biomineralization [15].
Amelogenins are hydrophobic in nature, they are rich in proline (25%), glutamine (14%), leucine (9%) and histidine (7%) amino acid residues [4, 15]. Amelogenin functions in regulating orientation, shape and length of enamel crystals [16]. Tuftelin is suggested to function at the level of ameloblast differentiation, it may play a role in extracellular matrix secretion. Tuftelin is also expressed in different soft tissues, which suggest it may have multifunctional role [17]. Ameloblastin also known as sheathlin and amelin present in Tomes’ processes of the secretory ameloblasts the sheath space between rod and inter-rod enamel suggest that this protein may play a role in biomineralization. Enamelin is also believed to play a role in enamel biomineralization. Enamelin is hydrophilic and an acidic protein rich in glycine, aspartic acid and serine [4]. The enamel proteins with unique properties requires specific proteases for their removal during enamel maturation whose spatiotemporal expression is impeccably regulated. This requirement is met by serine protease kallikrein-4 and MMP20 [18]. Enamel proteases processes secreted amelogenins, ameloblastin and enamelin in the matrix and eventually degrades and remove them from the mineralizing matrix when maturation of amelogenesis occurs. The sulfated enamel proteins are present in very small amount in the enamel matrix [15].
2.2 Applications of enamel matrix proteins
Enamel matrix derivative (EMD) is approved by FDA to be used as a material for periodontal regeneration since 1997 [19]. EMD is commercially obtained by heat treated lyophilized proteins that are isolated from porcine enamel at specific stage of development [20]. Emdogain, a mixture of enamel matrix proteins mainly composed of amelogenin is used for repair of hard and soft periodontal tissues [11, 21, 22, 23]. Emdogain has shown similar results to guided tissue regeneration with added advantage of easy to use with minimal complications [23].
Owing to its unique properties like toughness and relative fracture resistance researchers are focusing on developing an enamel-like biomaterial. Enamel biomimetics hold a great promise as structural components in a wide range of fields for biomedical and engineering applications. Some examples are like tooth repair, restoring a orthopedic defect site, functional insulator components, brakes and exhaust pollutant filters [3, 24]. Enamel proteins and calcium phosphate growth solutions seems to be a convincing formulation for biologically synthesizing tooth enamel. Based on the established role of enamel proteins, using an EMP researchers were successfully grew elongated and parallel apatite crystals within decussating enamel prisms (Figure 2) [3]. The research until now using biochemical approaches can only mimic limited features of apatite and calcium phosphate crystal growth.
Figure 2.
Scanning electron micrograph images of engineered enamel. In this study apatite was grown within a decellularized enamel protein matrix, resulting in decussating enamel prisms containing distinct and separated individual enamel crystals. A SEM image overview of the engineered enamel apatite, b depicts parallel bundles of enamel crystals, and c depicts newly formed decussating enamel rods [3]. Figure adapted from Pandya M et al. (2019).
3. Dentin
The dentin consists of 65% inorganic and 35% organic and water content. The presence of more organic content in dentin than enamel makes it very similar to that of bone. The organic part of dentin is composed of collagenous fibrils embedded in ground substance of mucopolysacchrides [5]. Type I collagen is the principal type of collagen in dentin. It contributes about 90% of the organic content, the remaining 10% contains several proteins and proteoglycans, acidic glycoproteins referred to as non-collagenous proteins [25, 26]. Also type I collagen is abundantly present organic constituent of the bone extracellular matrix [27]. The collagen fibrils form a scaffold network and are densely mineralized. The dentin consists of little amounts of type V and III collagen. The odontoblasts synthesize and secretes the non-collagenous proteins as well collagen fibrils [28].
Dentin constitutes tubules ranging in size of micrometer and surrounded by highly mineralized peritubular dentin, embedded in a matrix rich in collagen called intertubular dentin. Lamina limitans a sheet-like structure divide the peritubular and the intertubular dentin and primarily composed of proteoglycans protein cores. The proteoglycans contribute to mechanical behavior of dentin. They link the collagen fibrils securing the collagenous network together [12]. Peritubular dentin is primarily made of glycosaminoglycans and lacks collagen fibrils [29]. Intertubular matrix chiefly constitutes type I collagen fibrils with non-collagenous proteins and proteoglycans which forms a three-dimensional organic network buttressed by apatite mineral crystallites [30].
The adhesive systems used for dentin bonding rely on formation of a hybrid layer. This hybrid layer is formed by demineralized collagen fibrils reinforced by resin matrix. As the resin monomers are unable to infiltrate the mineralized tissues, so adhesive bonding systems are used which has an acid, primer and an adhesive. The acid helps in removing mineral crystals and exposing the collagen. The primer which is a hydrophilic solution permits the infiltration of resin monomer into the demineralized dentin. Finally, the adhesive consisting of a mixture of monomers penetrates the treated surface thereby forming mechanical adhesion with dentin. Removing the unbound water from hybrid layer and suppressing the endogenous enzymatic activity have helped in increasing biocompatibility by inhibiting degradation of the hybrid layer [31].
3.1 Dentin proteins
The dentin matrix and bone proteins are similar. Type I collagen designs an effective and instructional template for guiding deposition of calcium phosphate polymorphs and subsequently transforming into crystalline hydroxyapatite crystals. The highly complex process of hydroxyapatite nucleation and collagen mineralization is also controlled by non-collagenous proteins. The amount of these non-collagenous proteins in dentin and bone is small, but they play an indispensable role in bone formation and remodeling. Some examples of non-collagenous proteins found in both are osteocalcin, osteopontin and bone sialoprotein. The dentin matrix proteins are of interest because of their calcium binding property in the extracellular matrix which leads to calcification of tissue [32]. Many studies have shown similarities between dentin and bone. Apart from type I collagen being the leading extracellular matrix element, other common proteins and proteoglycans are osteonectin/SPARC, osteocalcin, osteopontin, bone sialoprotein, decorin and biglycan [33].
Dentin proteoglycans plays a key role in mineralization of the dentin and bone, so they perform structural, metabolic, and functional role. The proteoglycans are classified as small leucine-rich proteoglycans (SLRP) and the large aggregating proteoglycans. The SLRP are further divided into 5 classes: decorin; biglycan; fibromodulin; lumican and osteoadherin. Among the large aggregating proteoglycan is only versican has been described well in dentin [25].
Osteocalcin and osteonectin are classified under secretory calcium-binding phosphoprotein a category of non-collagenous proteins. Osteocalcin is a vitamin K-dependent gamma-carboxylated protein. It is a small calcium binding protein consisting of three glutamic acid residues. It is found in dentin in small amounts as compared to the bone [25]. Osteonectin binds collagen, hydroxyapatite and growth factors. It is known to regulate proliferation of cells, prompts angiogenesis and formulation of matrix metalloproteinases [34]. Another subset of the secretory calcium binding phosphoprotein is the Small Integrin-Binding ligand, N-linked Glycoprotein (SIBLING) family. It includes osteopontin, bone sialoprotein, dentin matrix protein 1, dentin sialophosphoprotein, and matrix extracellular phosphoglycoprotein [35].
Dentin phosphoprotein (DPP) and dentin sialoprotein (DSP) were earlier thought to be unique to dentin [5, 33]. Later some immunohistochemical studies established that DSP is also present in the alveolar bone, cellular cementum, osteocytes, cementocytes and their matrices [36]. DPP is rich in aspartic acid and phosphoserine and bind calcium in considerable amounts. DSP is a glycoprotein rich in aspartic acid, serine, glutamic acid, and glycine. Both DPP and DSP are synthesized by odontoblasts and pre-ameloblast cell types. In contrast the bone matrix proteins are not exclusively made by the osteoblasts. This makes dentin unusual based on these dentin specific proteins [33]. DSP has been shown to play a role in prompting differentiation of dental pulp cells in odontoblast-like cells [36].
3.2 Dentin growth factors
Growth factors are natural activation signals or substances able to stimulate cellular proliferation, wound healing, and sometimes cellular differentiation. Generally, a growth factor is secreted protein or a steroid hormone [37, 38]. They are necessary for regulating various cellular processes that take part in tissue regeneration procedure [39, 40].
Growth factors are generally acting as signaling molecules between the cells, like cytokines and hormones binding to specific receptors on the target cells surfaces. Examples of growth factors in dentin are TGF- β group, BMP group, Insulin growth factor-1, hepatocyte growth factor, VEGF, Adrenomedullin, FGF-2, platelet-derived growth factor, growth/differentiation factor etc. a summary of these growth factors is given in Table 1.
Transforming growth factor-beta
TGF-β1
Promoting tertiary dentinogenesis and in primary odontoblastic differentiation.
TGF-β2
Upregulated on DPSCs differentiation into a mineralizing phenotype
TGF-β3
Promotes odontoblastic differentiation
Bone morphogenetic proteins
BMP-2
Promotes vitro and in vivo odontoblastic differentiation, DSPP induction and increases alkaline phosphatase activity
BMP-4
Increases odontoblastic differentiation
BMP-7
Promotes DPSCs phenotype mineralization
Insulin growth factor-1
Promotes proliferation and differentiation of DPSCs and SCAP into a mineralizing phenotype
fibroblast growth factor 2 (FGF-2)
Promotes stem cell homing (chemotaxis), angiogenesis, and stemness
Platelet-derived growth factor
Promotes angiogenesis, chemotaxis of MSCs modulates the process of odontoblastic differentiation, synergistic act with other growth factors
Growth/differentiation factor 15
Promotes axonal function and regeneration after injury and plays important role in neuronal maintenance
Vascular endothelial growth factor VEGF
Potent angiogenic factor that promotes blood vessel formation in tooth slices implanted subcutaneously in SCID mice
Hepatocyte growth factor
Promotes survival, proliferation, and migration of MSCs
Adrenomedullin
Promotes odontoblastic differentiation through activation of p38
Epidermal growth factor
Enhances neurogenic differentiation of DPSCs and SCAP
Placenta growth factor
Promotes osteogenic and angiogenesis differentiation of MSCs
Brain-derived neurotrophic factor
Promotes neuronal growth and axonal targeting
Glial cell line-derived neurotrophic factor
Promotes in vivo nerve regeneration and pulp cell proliferation. Increased expression during odontogenic differentiation.
Table 1.
Growth factors in dentin matrix and their role.
We can group these growth factors by their actions as: Angiogenisis (FGF-2, PDGF, VEGF, NGF); Differentiation (TGF-β, PDGF, FGF-2, BMPs, IGF, NGF); Proliferation (PDGF, FGF-2, IGF, VEGF, TGF-β, SDF-1); Chemotaxis (PDGF, FGF-2, TGF-β, SDF-1) and Neuronal growth (NGF) [41].
The growth factors diffusion into the dentinal-pulpal junction is postulated to activate reactionary dentinogenesis and simultaneous reparative dentinogenesis along with pulp tissue inflammatory reaction [42, 43]. The surviving odontoblasts secrete reactionary dentin as a response to environmental stimuli causing metabolic activity increase in the cells. The inductive molecules determining the success of the pulp healing might be released from damaged dentin and adjacent pulp tissue [44]. Dentin-pulp regeneration process can vary as it depends on the causative agent whether trauma or pathological conditions. An inflammatory reaction is caused by these events, which is supposed to be the beginning of tissue regeneration process [39]. Dentin-pulp defensive and reparative mechanisms mimic the embryonic tooth development stage and growth factors derived from dentin may play a key role in regulating these events [42]. The dentinal matrix constitutes angiogenic growth factors and their release after injury can contribute to overall reparative response of the dentinal-pulpal complex [45].
There are multiple growth factors in dentin that also exist in bone like insulin-like growth factor-1 (IGF-1), insulin-like growth factor-2 (IGF-2), transforming growth factor-beta (TGF-β), fibroblast growth factors (FGFs), platelet-derived growth factor (PDGF), parathyroid bone morphogenetic proteins (BMPs), and certain members of the growth differentiation factor (GDF) group of proteins [46, 47, 48]. That is why recent studies have shown good results after using dentin as a bone graft and stated that dentin has shown to be clinically safe and has good bone-forming capacity [49, 50].
Also known as autogenous tooth biomaterial it is derived from an extracted tooth through demineralization process. It is useful as graft material because of its osteoconductive properties [51]. This biomaterial can be used alone or combined with other materials for example with platelet-rich fibrin [52], bone marrow mesenchymal stem cells [53] or bone morphogenetic protein (BMP-2) [54] for enhanced bone regeneration effects. Recently a dentin derived barrier membrane acting as an osteoinductive collagen membrane showed successful outcome in guided bone regeneration and dental implantation. The membrane was derived from block type autogenous demineralized dentin matrix with advantage of overcoming the mechanical instability of the collagen membrane. It is mostly composed of type I collagen, making it suitable for use in implant procedures [55].
4. Dental defects
Enamel has 3 essential enamel proteins to build healthy well mineralized enamel which is secreted from ameloblasts “amelogenin, ameloblastin and enamelin” with the help of two enzymes, MMP20 and kallikrein-4 (Klk4) to form the enamel properly and sequent proteolysis of enamel protein [56]. In the event of alteration in the process of protein removal, enamel and dental defects will emerge like for example, amelogenesis imperfecta (AI), Chalky/Molar Hypomolarization (MH), Dentinogenesis Imperfecta (DI) or fluorosis [57]. Figure 3 depicts the protein content in healthy and diseased tooth.
Figure 3.
Protein content is compared between healthy and diseased tooth enamel. Different proteins are presented in (rows) as analyzed different tooth conditions (columns). Healthy teeth is presented as reference in light gray, chalky/molar Hypomolarization (MH): Enamel affected by molar hypomineralization, fluorosis and Amelogenesis imperfecta (AI): Hypocalcified and hypomaturation amelogenesis imperfecta enamel; range of percent by weight (wt %) of protein abundance in comparison to healthy enamel show in 4 colors: Healthy range of 0.1–1 wt % (light gray); 2–3 times increase (light teal); 3–30 times increase (dark teal); 0–30 times increase (gray-teal gradient) [57]. Figure adapted from Gil-Bona a et al. (2020).
4.1 Amelogenesis imperfecta (AI)
Amelogenesis imperfecta is a rare, inherited enamel development disorder where mutations in the amelogenin gene results in malformation of the enamel layer. It is subdivided to 4 main types hypoplastic (type I), hypomaturation (type II), hypocalcified (type III), hypomaturation/hypoplasia/taurodontism (type IV).
Clinical and radiographical features and enamel thickness, of different subtypes are dependent on mode of inheritance and gene mutation. AI occurs due to mutations in several genes, including enamelin, amelogenin, MMP20, Klk4 and FAM83H [58, 59, 60, 61]. The mutations can lead to hypoplastic, hypomature, or hypocalcified form of the enamel [62]. AI can be easily seen clinically and radiographically as teeth appears in abnormal color like (yellow, brown, or gray). Soft enamel, due to hypo calcification enamel surface are more susceptible to caries, tooth attrition, teeth hypersensitivity, calculus formation, and gingivitis/periodontitis [63].
Type I hypoplastic AI has reduced thickness of enamel and shows pitting and grooves. In radiographs enamel shows normal contrasts from dentine. Type II hypomaturation AI has enamel of normal thickness but appearance is mottled. It is less severe than hypocalcified type. Radiographically it exhibits similar radiodensity as dentine. Type III hypocalcified AI have defect in enamel calcification. The enamel thickness is normal but is weak in structure and appearance is opaque and chalky. In radiographs enamel is less radio-opaque in comparison to dentin. Type IV hypomaturation/hypoplasia/taurodontism AI exhibits mixed hypomaturation and hypoplasia appearance. In taurodontism enlargement of the body and pulp chamber is observed. The pulp chamber floor and furcation moves apically down the root [58].
A proper diagnosis identifying the different phenotypes is essential to determine molecular etiology. The treatment plan aims at early diagnosis, managing the pain and restoring the defects with regular follow ups [58]. Mild variations can be treated adequately with facial veneers, whereas in severe cases full coverage is mandatory. For young patients milled acetal resin overlays can be used until fully erupted [64].
4.2 Chalky/molar hypomineralrisation (MH)
It is discolored white patches in one or more molars, porous dental enamel leads to hypersensitivity and risk of caries. Chalky enamel opacities contained unusually high amounts of protein, including serum albumin and other derivatives of blood and saliva [65]. Moderate and severe cases with opacities having a chalky texture exhibit failure of enamel surface soon after the eruption of tooth, it provides a hygiene-resistant nidus for dental plaque accumulation. The porous chalky enamel is invaded by accelerated decay which arises the need for restoration, extraction, or orthodontic treatment. It is observed that MH affects the 2-year molars or 6-year molars, a better understanding of its etiology is necessary [66]. Earlier systemic disturbance of enamel-forming cells (ameloblasts) during the hardening (maturation) stage of enamel formation was thought to be the cause [67]. A different pathomechanism indicating localized exposure of enamel to serum albumin was recently identified [68]. In a recent study the dose–response relationship between albumin and the enamel chalkiness was established. This supports the new pathomechanism also termed as “mineralization poisoning” [66].
MH is a complex problem requiring combinational treatment modalities. The treatment aim may be preventive or symptom control. Various treatment modalities can be adhesive and sealant restoration, composite restoration, glass ionomer restoration, preformed metal crown, microabrasion, bleach or orthodontic extraction [69].
4.3 Fluorosis
Dental fluorosis is a very common developmental disturbance that is caused by repeated exposures to high concentrations of fluoride during tooth or enamel formation. This leads to disturbance in enamel formation as the fluoride decreases calcium concentration in the matrix. This interferes with protease activity and delays or inhibit enamel matrix protein degradation. An abnormal apatite crystals growth occurs which leads to physical tooth surface changes [70]. It differs from white striations to stained pitting of the enamel depending on case severity [71]. The use of topical fluoride dentifrices in young children may increase the risk of dental fluorosis. In case of concern for fluorosis, in children under 6 years of age toothpaste with fluoride concentration less than 1000 parts per million should be used [70].
Treatment of the case depends on the severity and the esthetics concerns. Mild cases can be treated by bleaching if the tooth. For moderate cases enamel microabrasion with acids can be done. Composite fillings, veneers and crowns can be used for treating cases with severe forms of the disease [72].
The best solution for this condition is to control the fluoride intake for prevention of dental fluorosis [71].
4.4 Dentinogenesis imperfecta (DI)
DI is also an inherited condition also called “dentin dysplasia” with discolored teeth but most often blue-gray or yellow-brown which leads to wear, breakage, and loss of teeth. This damage can include teeth fractures or small holes (pitting) in the enamel. The enamel may have hypoplastic or hypocalcified defect in nearly one-third of patients and has tendency to crack away from defective dentin. It is a localized mesodermal dysplasia which affects both primary and permanent dentition. It is inherited in simple autosomal dominant mode exhibiting high penetrance and low mutation rate [73].
DI has 3 types: Type I: occurs in people who have osteogenesis imperfecta so, it appears to have other health concern (mutation in COL1A1/A2 gene). Type II: the most common type occurs in people without another inherited disorder (mutation in DSPP). Radiographically it shows complete obliteration of the pulp cavity by dentin. Type II and type III, are actually similar conditions but in different forms but DI type III shows enlarged pulp cavities [63].
In histological findings although enamel is normal in structure it tends to crack. Scalloping is absent in dentino-enamel junction. Mostly mantle dentin structure is normal. However dentinal tubules of the circumferential dentin are found to be coarse and branched. The tubules are reduced in quantity. An atubular area is present in the dentin with reduction in mineralization and decreased number of odontoblasts. Another common finding is pulpal inclusions and much interglobular dentin [73].
Treatment differs from case to case depend on its severity and presenting pain, also the patient age. Mostly treatments are targeted at maintaining oral hygiene and esthetics. Early diagnosis and treatment can prevent deterioration of teeth and occlusion. In severe cases two treatment stages for primary teeth under general anesthesia is recommended. At the age of 18-20 months the stage 1 treatment involves composite restorations covering for incisors and preformed crowns for first primary molars. At the age of 28-30 months stage 2 aims at protecting second primary molars and canines. For moderate cases one-stage treatment for primary teeth at 30 months of age is optimal. In severe cases composite restoration may not be helpful. A long term follow-up is necessary to adjust treatment according to change in dentition and occlusion [73].
5. Conclusion
The enamel and dentin organic content varies in amount and its constituents. The enamel proteins help in imparting the elastic and visco-elastic properties to the enamel. The clinical significance of the non-collagenous proteins may be in relation with dentinal growth factor release by calcium hydroxide or mineral trioxide aggregate. The dentin organic matrix constitutes similarity with that of bone, makes it a desirable bone graft material. Demineralized dentin autogenous bone grafts have already been used for dental implant surgeries and provides an easy to prepare and use bone graft material. Any imbalance in the organic content can manifest as developmental disease of the tooth.
Conflict of interest
The authors declare no conflict of interest.
\n',keywords:"Enamel matrix, Dentin matrix, Tooth proteins, Growth factors, Tooth developmental defects",chapterPDFUrl:"https://cdn.intechopen.com/pdfs/77993.pdf",chapterXML:"https://mts.intechopen.com/source/xml/77993.xml",downloadPdfUrl:"/chapter/pdf-download/77993",previewPdfUrl:"/chapter/pdf-preview/77993",totalDownloads:214,totalViews:0,totalCrossrefCites:0,dateSubmitted:"November 11th 2020",dateReviewed:"July 19th 2021",datePrePublished:"August 10th 2021",datePublished:null,dateFinished:"August 10th 2021",readingETA:"0",abstract:"The anatomical crown of the tooth is covered by enamel and root is covered by cementum. The dentin forms the major part of the tooth. The dentin structure is very similar to that of the bone both physically and chemically which is why many scientists have wondered about using its properties for developing a novel bone graft material. In contrast with hard and brittle enamel dentin is viscoelastic. The organic structure of dentin which is about 35% is composed of mainly type I collagen embedded in mucopolysaccharides ground substance. Approximately half of the non-collagenous composition consists of hyperphosphorylated proteins. The acidic glycoproteins, Gla-proteins, serum proteins, proteoglycans etc. composes the remaining part. The dentin matrix consists of many similar proteins as that of bone like dentin phosphoprotein, dentin sialoprotein etc.. The matrix also consists of many growth factors. Any external disturbance like an infection, trauma, calcium or phosphorous metabolic changes can lead to defective amelogenesis. Mutational changes can lead to defect in dentin. An early diagnosis can result in a satisfactory treatment plan contributing to functional and esthetical compensation.",reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/77993",risUrl:"/chapter/ris/77993",signatures:"Eui-Seok Lee, Puneet Wadhwa, Min-Keun Kim, Heng Bo Jiang, In-Woong Um and Yu-Mi Kim",book:{id:"10482",type:"book",title:"Human Teeth – Structure and Composition of Dental Hard Tissues and Developmental Dental Defects",subtitle:null,fullTitle:"Human Teeth – Structure and Composition of Dental Hard Tissues and Developmental Dental Defects",slug:null,publishedDate:null,bookSignature:"Dr. Ana Gil De Bona and Dr. Hakan Karaaslan",coverURL:"https://cdn.intechopen.com/books/images_new/10482.jpg",licenceType:"CC BY 3.0",editedByType:null,isbn:"978-1-83969-105-8",printIsbn:"978-1-83969-104-1",pdfIsbn:"978-1-83969-106-5",isAvailableForWebshopOrdering:!0,editors:[{id:"203919",title:"Dr.",name:"Ana",middleName:null,surname:"Gil De Bona",slug:"ana-gil-de-bona",fullName:"Ana Gil De Bona"}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"}},authors:null,sections:[{id:"sec_1",title:"1. Introduction",level:"1"},{id:"sec_2",title:"2. Enamel",level:"1"},{id:"sec_2_2",title:"2.1 Enamel proteins",level:"2"},{id:"sec_3_2",title:"2.2 Applications of enamel matrix proteins",level:"2"},{id:"sec_5",title:"3. Dentin",level:"1"},{id:"sec_5_2",title:"3.1 Dentin proteins",level:"2"},{id:"sec_6_2",title:"3.2 Dentin growth factors",level:"2"},{id:"sec_8",title:"4. Dental defects",level:"1"},{id:"sec_8_2",title:"4.1 Amelogenesis imperfecta (AI)",level:"2"},{id:"sec_9_2",title:"4.2 Chalky/molar hypomineralrisation (MH)",level:"2"},{id:"sec_10_2",title:"4.3 Fluorosis",level:"2"},{id:"sec_11_2",title:"4.4 Dentinogenesis imperfecta (DI)",level:"2"},{id:"sec_13",title:"5. Conclusion",level:"1"},{id:"sec_17",title:"Conflict of interest",level:"1"}],chapterReferences:[{id:"B1",body:'Muñoz MA, Garín-Correa C, González-Arriagada W, Quintela Davila X, Häberle P, Bedran-Russo A, et al. 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Epub 2012/07/28.'},{id:"B42",body:'Mazzoni A, Breschi L, Carrilho M, Nascimento FD, Orsini G, Ruggeri Jr A, et al. A review of the nature, role, and function of dentin non-collagenous proteins. Part II: enzymes, serum proteins, and growth factors. Endodontic Topics. 2009;21(1):19-40.'},{id:"B43",body:'Mitsiadis TA, Rahiotis C. Parallels between tooth development and repair: conserved molecular mechanisms following carious and dental injury. J Dent Res. 2004;83(12):896-902.'},{id:"B44",body:'Magloire H, Romeas A, Melin M, Couble ML, Bleicher F, Farges JC. Molecular Regulation of Odontoblast Activity under Dentin Injury. Advances in Dental Research. 2001;15(1):46-50.'},{id:"B45",body:'Roberts-Clark DJ, Smith AJ. Angiogenic growth factors in human dentine matrix. Archives of Oral Biology. 2000;45(11):1013-6.'},{id:"B46",body:'Mohan S, Baylink DJ. Bone growth factors. Clin Orthop Relat Res. 1991(263):30-48. Epub 1991/02/01.'},{id:"B47",body:'Baylink DJ, Finkelman RD, Mohan S. Growth factors to stimulate bone formation. Journal of Bone and Mineral Research. 1993;8(S2):S565-S72.'},{id:"B48",body:'Shim KS. Pubertal growth and epiphyseal fusion. Ann Pediatr Endocrinol Metab. 2015;20(1):8-12. Epub 2015/04/18.'},{id:"B49",body:'Gual-Vaqués P, Polis-Yanes C, Estrugo-Devesa A, Ayuso-Montero R, Mari-Roig A, López-López J. Autogenous teeth used for bone grafting: A systematic review. Med Oral Patol Oral Cir Bucal. 2018;23(1):e112-e9. Epub 2017/12/24.'},{id:"B50",body:'Um I-W, Ku J-K, Kim Y-M, Yun P-Y, Chang N-H, Kim Y-K, et al. Allogeneic Demineralized Dentin Matrix Graft for Guided Bone Regeneration in Dental Implants. Applied Sciences. 2020;10(13):4661.'},{id:"B51",body:'Hwan Jung M, Hun Lee J, Wadhwa P, Bo Jiang H, Jang HS, Seok Lee E. Bone Regeneration in Peri-Implant Defect Using Autogenous Tooth Biomaterial Enriched with Platelet-Rich Fibrin in Animal Model. Applied Sciences. 2020;10(6):1939.'},{id:"B52",body:'Lee Y-K, Wadhwa P, Cai H, Jung S-U, Zhao BC, Rim J-S, et al. Micro-CT and Histomorphometric Study of Bone Regeneration Effect with Autogenous Tooth Biomaterial Enriched with Platelet-Rich Fibrin in an Animal Model. Scanning. 2021;2021:6656791.'},{id:"B53",body:'Kim J-H, Wadhwa P, Cai H, Kim D-H, Zhao BC, Lim H-K, et al. Histomorphometric Evaluation of Socket Preservation Using Autogenous Tooth Biomaterial and BM-MSC in Dogs. Scanning. 2021;2021:6676149.'},{id:"B54",body:'Wadhwa P, Lee JH, Zhao BC, Cai H, Rim J-S, Jang H-S, et al. Microcomputed Tomography and Histological Study of Bone Regeneration Using Tooth Biomaterial with BMP-2 in Rabbit Calvarial Defects. Scanning. 2021;2021:6690221.'},{id:"B55",body:'Ku J-K, Um I-W, Jun M-K, Kim I-h. Dentin-Derived-Barrier Membrane in Guided Bone Regeneration: A Case Report. Materials. 2021;14(9):2166.'},{id:"B56",body:'Bartlett JD. Dental enamel development: proteinases and their enamel matrix substrates. ISRN Dent. 2013;16(684607):684607.'},{id:"B57",body:'Gil-Bona A, Bidlack FB. Tooth Enamel and its Dynamic Protein Matrix. Int J Mol Sci. 2020;21(12).'},{id:"B58",body:'Gadhia K, McDonald S, Arkutu N, Malik K. Amelogenesis imperfecta: an introduction. British Dental Journal. 2012;212(8):377-9.'},{id:"B59",body:'Wright JT, Hart TC, Hart PS, Simmons D, Suggs C, Daley B, et al. Human and Mouse Enamel Phenotypes Resulting from Mutation or Altered Expression of AMEL, ENAM, MMP20 and KLK4. Cells Tissues Organs. 2009;189(1-4):224-9.'},{id:"B60",body:'Simmer JP, Hu Y, Lertlam R, Yamakoshi Y, Hu JC. Hypomaturation enamel defects in Klk4 knockout/LacZ knockin mice. J Biol Chem. 2009;284(28):19110-21.'},{id:"B61",body:'Wright JT, Frazier-Bowers S, Simmons D, Alexander K, Crawford P, Han ST, et al. Phenotypic variation in FAM83H-associated amelogenesis imperfecta. J Dent Res. 2009;88(4):356-60.'},{id:"B62",body:'Carlson B. Human Embryology and Developmental Biology. 5th ed2013. 520 p.'},{id:"B63",body:'Kwon Hyuk-Jae Edward JR. Development of Teeth. : Elsevier; 2018 7-Feb-18.'},{id:"B64",body:'Chi BNDDDCAA. Color Atlas of Oral and Maxillofacial Diseases. 1 ed: Elsevier; 2018. 544 p.'},{id:"B65",body:'Williams R, Perez VA, Mangum JE, Hubbard MJ. Pathogenesis of Molar Hypomineralisation: Hypomineralised 6-Year Molars Contain Traces of Fetal Serum Albumin. Front Physiol. 2020;11(619).'},{id:"B66",body:'Perez VA, Mangum JE, Hubbard MJ. Pathogenesis of Molar Hypomineralisation: Aged Albumin Demarcates Chalky Regions of Hypomineralised Enamel. Frontiers in Physiology. 2020;11(1232).'},{id:"B67",body:'Babajko S, Jedeon K, Houari S, Loiodice S, Berdal A. Disruption of Steroid Axis, a New Paradigm for Molar Incisor Hypomineralization (MIH). Front Physiol. 2017;8(343).'},{id:"B68",body:'Williams R, Perez VA, Mangum JE, Hubbard MJ. Pathogenesis of Molar Hypomineralisation: Hypomineralised 6-Year Molars Contain Traces of Fetal Serum Albumin. Frontiers in Physiology. 2020;11(619).'},{id:"B69",body:'Almuallem Z, Busuttil-Naudi A. Molar incisor hypomineralisation (MIH) – an overview. British Dental Journal. 2018;225(7):601-9.'},{id:"B70",body:'Wong MCM, Glenny AM, Tsang BWK, Lo ECM, Worthington HV, Marinho VCC. Topical fluoride as a cause of dental fluorosis in children. Cochrane Database of Systematic Reviews. 2010(1).'},{id:"B71",body:'Linda McManus RM. Pathobiology of Human Disease. 1 ed: Academic Press; 2014. 5000 p.'},{id:"B72",body:'DenBesten P, Li W. Chronic fluoride toxicity: dental fluorosis. Monogr Oral Sci. 2011;22:81-96.'},{id:"B73",body:'Sapir S, Shapira J. Dentinogenesis imperfecta: an early treatment strategy. Pediatr Dent. 2001;23(3):232-7.'}],footnotes:[],contributors:[{corresp:null,contributorFullName:"Eui-Seok Lee",address:null,affiliation:'
Department of Oral and Maxillofacial Surgery, Graduate School of Clinical Dentistry, Korea University, Korea
R&D Institute, Korea Tooth Bank, Republic of Korea
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It is one of the most costly phenomena and has affected several cities around the world. Although the topic has been studied since the 1960s, new questions are emerging. The earthquakes of Chile in 2010, New Zealand in 2010 and 2011, and Japan in 2011 had in common not only being some of the largest earthquakes of this decade but also having a problem of extensive liquefaction. Although most seismic codes have provisions against liquefaction, there are still some misconceptions regarding the characteristics of soil susceptibility and the effect of repeated liquefaction. This chapter introduces a detailed report of the damage caused by liquefaction in the cities affected by those earthquakes and also highlights observations in liquefied areas that were unexpected. Advanced geotechnical testing was conducted and compiled to compare them with previous assessment criteria and observations. A more comprehensive framework for the evaluation of liquefaction susceptibility and countermeasures will be presented and a roadmap of future work in the area will be described.",signatures:"Yolanda Alberto-Hernandez and Ikuo Towhata",authors:[{id:"190880",title:"Dr.",name:"Yolanda",surname:"Alberto Hernandez",fullName:"Yolanda Alberto Hernandez",slug:"yolanda-alberto-hernandez",email:"yalbertoh@gmail.com"}],book:{id:"5499",title:"Earthquakes",slug:"earthquakes-tectonics-hazard-and-risk-mitigation",productType:{id:"1",title:"Edited Volume"}}}],collaborators:[{id:"19373",title:"Prof.",name:"Daigoro",surname:"Isobe",slug:"daigoro-isobe",fullName:"Daigoro Isobe",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Tsukuba",institutionURL:null,country:{name:"Japan"}}},{id:"69652",title:"Prof.",name:"Junxing",surname:"Cao",slug:"junxing-cao",fullName:"Junxing Cao",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Chengdu University of Technology",institutionURL:null,country:{name:"China"}}},{id:"190547",title:"Dr.",name:"Ya-Juan",surname:"Xue",slug:"ya-juan-xue",fullName:"Ya-Juan Xue",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Chengdu University of Information Technology",institutionURL:null,country:{name:"China"}}},{id:"191418",title:"Prof.",name:"Telman",surname:"Aliev",slug:"telman-aliev",fullName:"Telman Aliev",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"192180",title:"Dr.",name:"Ehsan",surname:"Nikbakht",slug:"ehsan-nikbakht",fullName:"Ehsan Nikbakht",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Malaya",institutionURL:null,country:{name:"Malaysia"}}},{id:"194835",title:"Dr.",name:"Gu-Lan",surname:"Zhang",slug:"gu-lan-zhang",fullName:"Gu-Lan Zhang",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"194836",title:"Dr.",name:"Hao-Kun",surname:"Du",slug:"hao-kun-du",fullName:"Hao-Kun Du",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"194837",title:"MSc.",name:"Zhan",surname:"Wen",slug:"zhan-wen",fullName:"Zhan Wen",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"194838",title:"MSc.",name:"Xiao-Hui",surname:"Zeng",slug:"xiao-hui-zeng",fullName:"Xiao-Hui Zeng",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"194839",title:"Mr.",name:"Feng",surname:"Zou",slug:"feng-zou",fullName:"Feng Zou",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null}]},generic:{page:{slug:"open-access-funding",title:"Open Access Funding",intro:"
IntechOpen’s Academic Editors and Authors have received funding for their work through many well-known funders, including: the European Commission, Bill and Melinda Gates Foundation, Wellcome Trust, Chinese Academy of Sciences, Natural Science Foundation of China (NSFC), CGIAR Consortium of International Agricultural Research Centers, National Institute of Health (NIH), National Science Foundation (NSF), National Aeronautics and Space Administration (NASA), National Institute of Standards and Technology (NIST), German Research Foundation (DFG), Research Councils United Kingdom (RCUK), Oswaldo Cruz Foundation, Austrian Science Fund (FWF), Foundation for Science and Technology (FCT), Australian Research Council (ARC).
Open Access publication costs can often be designated directly in the grants or in specific budgets allocated for that purpose. Many of the most important funding organisations encourage, and even request, that the projects they fund are made available at no cost to the wider public. IntechOpen strives to maintain excellent relationships with these funders and ensures compliance with mandates.
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In order to help Authors identify appropriate funding agencies and institutions, we have created a list, based on extensive research on various OA resources (including ROARMAP and SHERPA/JULIET) of organizations that have funds available. Before consulting our list we encourage you to petition your own institution or organization for Open Access funds or check the specifications of your grant with your funder to ascertain if publication costs are included. Where you are in receipt of a grant you should clarify:
\\n\\n
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Does your institution already have a budget for covering Open Access publication costs?
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Does your grant list Open Access publication fees as legitimate direct/indirect costs?
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If you are associated with any of the institutions in our list below, you can apply to receive OA publication funds by following the instructions provided in the links. Please consult the Open Access policies or grant Terms and Conditions of any institution with which you are linked to explore ways to cover your publication costs (also accessible by clicking on the link in their title).
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Please be aware that you must be a member, or grantee, of the institutions/funders listed in order to apply for their Open Access publication funds.
Open Access publication costs can often be designated directly in the grants or in specific budgets allocated for that purpose. Many of the most important funding organisations encourage, and even request, that the projects they fund are made available at no cost to the wider public. IntechOpen strives to maintain excellent relationships with these funders and ensures compliance with mandates.
\n\n
In order to help Authors identify appropriate funding agencies and institutions, we have created a list, based on extensive research on various OA resources (including ROARMAP and SHERPA/JULIET) of organizations that have funds available. Before consulting our list we encourage you to petition your own institution or organization for Open Access funds or check the specifications of your grant with your funder to ascertain if publication costs are included. Where you are in receipt of a grant you should clarify:
\n\n
\n\t
Does your institution already have a budget for covering Open Access publication costs?
\n\t
Does your grant list Open Access publication fees as legitimate direct/indirect costs?
\n
\n\n
If you are associated with any of the institutions in our list below, you can apply to receive OA publication funds by following the instructions provided in the links. Please consult the Open Access policies or grant Terms and Conditions of any institution with which you are linked to explore ways to cover your publication costs (also accessible by clicking on the link in their title).
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Please note that this list is not a definitive one and is updated regularly. To suggest possible modifications or the inclusion of your institution/funder, please contact us at funders@intechopen.com
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Please be aware that you must be a member, or grantee, of the institutions/funders listed in order to apply for their Open Access publication funds.
\n'}]},successStories:{items:[]},authorsAndEditors:{filterParams:{},profiles:[{id:"396",title:"Dr.",name:"Vedran",middleName:null,surname:"Kordic",slug:"vedran-kordic",fullName:"Vedran Kordic",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/396/images/7281_n.png",biography:"After obtaining his Master's degree in Mechanical Engineering he continued his education at the Vienna University of Technology where he obtained his PhD degree in 2004. He worked as a researcher at the Automation and Control Institute, Faculty of Electrical Engineering, Vienna University of Technology until 2008. His studies in robotics lead him not only to a PhD degree but also inspired him to co-found and build the International Journal of Advanced Robotic Systems - world's first Open Access journal in the field of robotics.",institutionString:null,institution:{name:"TU Wien",country:{name:"Austria"}}},{id:"441",title:"Ph.D.",name:"Jaekyu",middleName:null,surname:"Park",slug:"jaekyu-park",fullName:"Jaekyu Park",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/441/images/1881_n.jpg",biography:null,institutionString:null,institution:{name:"LG Corporation (South Korea)",country:{name:"Korea, South"}}},{id:"465",title:"Dr",name:"Christian",middleName:null,surname:"Martens",slug:"christian-martens",fullName:"Christian Martens",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"479",title:"Dr.",name:"Valentina",middleName:null,surname:"Colla",slug:"valentina-colla",fullName:"Valentina Colla",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/479/images/358_n.jpg",biography:null,institutionString:null,institution:{name:"Sant'Anna School of Advanced Studies",country:{name:"Italy"}}},{id:"494",title:"PhD",name:"Loris",middleName:null,surname:"Nanni",slug:"loris-nanni",fullName:"Loris Nanni",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/494/images/system/494.jpg",biography:"Loris Nanni received his Master Degree cum laude on June-2002 from the University of Bologna, and the April 26th 2006 he received his Ph.D. in Computer Engineering at DEIS, University of Bologna. On September, 29th 2006 he has won a post PhD fellowship from the university of Bologna (from October 2006 to October 2008), at the competitive examination he was ranked first in the industrial engineering area. He extensively served as referee for several international journals. He is author/coauthor of more than 100 research papers. He has been involved in some projects supported by MURST and European Community. His research interests include pattern recognition, bioinformatics, and biometric systems (fingerprint classification and recognition, signature verification, face recognition).",institutionString:null,institution:null},{id:"496",title:"Dr.",name:"Carlos",middleName:null,surname:"Leon",slug:"carlos-leon",fullName:"Carlos Leon",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Seville",country:{name:"Spain"}}},{id:"512",title:"Dr.",name:"Dayang",middleName:null,surname:"Jawawi",slug:"dayang-jawawi",fullName:"Dayang Jawawi",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Technology Malaysia",country:{name:"Malaysia"}}},{id:"528",title:"Dr.",name:"Kresimir",middleName:null,surname:"Delac",slug:"kresimir-delac",fullName:"Kresimir Delac",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/528/images/system/528.jpg",biography:"K. Delac received his B.Sc.E.E. degree in 2003 and is currentlypursuing a Ph.D. degree at the University of Zagreb, Faculty of Electrical Engineering andComputing. His current research interests are digital image analysis, pattern recognition andbiometrics.",institutionString:null,institution:{name:"University of Zagreb",country:{name:"Croatia"}}},{id:"557",title:"Dr.",name:"Andon",middleName:"Venelinov",surname:"Topalov",slug:"andon-topalov",fullName:"Andon Topalov",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/557/images/1927_n.jpg",biography:"Dr. Andon V. Topalov received the MSc degree in Control Engineering from the Faculty of Information Systems, Technologies, and Automation at Moscow State University of Civil Engineering (MGGU) in 1979. He then received his PhD degree in Control Engineering from the Department of Automation and Remote Control at Moscow State Mining University (MGSU), Moscow, in 1984. From 1985 to 1986, he was a Research Fellow in the Research Institute for Electronic Equipment, ZZU AD, Plovdiv, Bulgaria. In 1986, he joined the Department of Control Systems, Technical University of Sofia at the Plovdiv campus, where he is presently a Full Professor. He has held long-term visiting Professor/Scholar positions at various institutions in South Korea, Turkey, Mexico, Greece, Belgium, UK, and Germany. And he has coauthored one book and authored or coauthored more than 80 research papers in conference proceedings and journals. His current research interests are in the fields of intelligent control and robotics.",institutionString:null,institution:{name:"Technical University of Sofia",country:{name:"Bulgaria"}}},{id:"585",title:"Prof.",name:"Munir",middleName:null,surname:"Merdan",slug:"munir-merdan",fullName:"Munir Merdan",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/585/images/system/585.jpg",biography:"Munir Merdan received the M.Sc. degree in mechanical engineering from the Technical University of Sarajevo, Bosnia and Herzegovina, in 2001, and the Ph.D. degree in electrical engineering from the Vienna University of Technology, Vienna, Austria, in 2009.Since 2005, he has been at the Automation and Control Institute, Vienna University of Technology, where he is currently a Senior Researcher. His research interests include the application of agent technology for achieving agile control in the manufacturing environment.",institutionString:null,institution:null},{id:"605",title:"Prof",name:"Dil",middleName:null,surname:"Hussain",slug:"dil-hussain",fullName:"Dil Hussain",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/605/images/system/605.jpg",biography:"Dr. Dil Muhammad Akbar Hussain is a professor of Electronics Engineering & Computer Science at the Department of Energy Technology, Aalborg University Denmark. Professor Akbar has a Master degree in Digital Electronics from Govt. College University, Lahore Pakistan and a P-hD degree in Control Engineering from the School of Engineering and Applied Sciences, University of Sussex United Kingdom. Aalborg University has Two Satellite Campuses, one in Copenhagen (Aalborg University Copenhagen) and the other in Esbjerg (Aalborg University Esbjerg).\n· He is a member of prestigious IEEE (Institute of Electrical and Electronics Engineers), and IAENG (International Association of Engineers) organizations. \n· He is the chief Editor of the Journal of Software Engineering.\n· He is the member of the Editorial Board of International Journal of Computer Science and Software Technology (IJCSST) and International Journal of Computer Engineering and Information Technology. \n· He is also the Editor of Communication in Computer and Information Science CCIS-20 by Springer.\n· Reviewer For Many Conferences\nHe is the lead person in making collaboration agreements between Aalborg University and many universities of Pakistan, for which the MOU’s (Memorandum of Understanding) have been signed.\nProfessor Akbar is working in Academia since 1990, he started his career as a Lab demonstrator/TA at the University of Sussex. After finishing his P. hD degree in 1992, he served in the Industry as a Scientific Officer and continued his academic career as a visiting scholar for a number of educational institutions. In 1996 he joined National University of Science & Technology Pakistan (NUST) as an Associate Professor; NUST is one of the top few universities in Pakistan. In 1999 he joined an International Company Lineo Inc, Canada as Manager Compiler Group, where he headed the group for developing Compiler Tool Chain and Porting of Operating Systems for the BLACKfin processor. The processor development was a joint venture by Intel and Analog Devices. In 2002 Lineo Inc., was taken over by another company, so he joined Aalborg University Denmark as an Assistant Professor.\nProfessor Akbar has truly a multi-disciplined career and he continued his legacy and making progress in many areas of his interests both in teaching and research. 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These aggressive conditions reduce the service life of components. Its generic effect is magnified in the light of understanding the fact that aero engine parts are highly sensitive to functional and dimensional precision; therefore, repair and replacement are great factors that promote downtime during operation. Hard thermal barrier coatings have been used in recent times due to their optimized properties for maximum load bearing proficiency with high temperature capability to meet performance and durability required. Nevertheless, less emphasis is being given to the coating-substrate interaction. Functionally graded structures have better synergy and flexibility in composition than coatings, giving rise to controlled microstructure and improved properties in withstanding acute state of affairs. Such materials can be fabricated using Laser Engineered Net Shaping (LENS™), a laser-based additive manufacturing technique. LENS™ offers a great deal in rapid prototyping, repair, and fabrication of three-dimensional dense structures with superior properties in comparison with traditionally fabricated structures. The manufacture of aero engine components with functionally graded materials, using LENS™, can absolutely mitigate the nuisance of buy-to-fly ratio, lost time in repair and maintenance, and maximize controlled dimension and multi-geometric properties, enhanced wear resistance, and high temperature strength. This review presents an extensive contribution in terms of insightful understanding of processing parameters and their interactions on fabrication of functionally graded stainless steel, which definitely influence the final product quality.",book:{id:"5091",slug:"fiber-laser",title:"Fiber Laser",fullTitle:"Fiber Laser"},signatures:"Patricia Popoola, Gabriel Farotade, Olawale Fatoba and Olawale\nPopoola",authors:[{id:"169258",title:"Dr.",name:"Patricia",middleName:null,surname:"Popoola",slug:"patricia-popoola",fullName:"Patricia Popoola"},{id:"176885",title:"Dr.",name:"Olawale",middleName:"Samuel",surname:"Fatoba",slug:"olawale-fatoba",fullName:"Olawale Fatoba"},{id:"177716",title:"Dr.",name:"Olawale",middleName:null,surname:"Popoola",slug:"olawale-popoola",fullName:"Olawale Popoola"},{id:"177717",title:"Mr.",name:"Gabriel",middleName:null,surname:"Farotade",slug:"gabriel-farotade",fullName:"Gabriel Farotade"}]},{id:"49426",doi:"10.5772/61737",title:"Laser Surface Modification — A Focus on the Wear Degradation of Titanium Alloy",slug:"laser-surface-modification-a-focus-on-the-wear-degradation-of-titanium-alloy",totalDownloads:2458,totalCrossrefCites:10,totalDimensionsCites:13,abstract:"Over the years, engineering materials are being developed due to the need for better service performance. Wear, a common phenomenon in applications requiring surface interaction, leads to catastrophic failure of materials in the industry. Hence, preventing this form of degradation requires the selection of an appropriate surface modification technique. Laser surface modification techniques have been established by researchers to improve mechanical and tribological properties of materials. In this chapter, adequate knowledge about laser surface cladding and its processing parameters coupled with the oxidation, wear and corrosion performances of laser-modified titanium has been reviewed.",book:{id:"5091",slug:"fiber-laser",title:"Fiber Laser",fullTitle:"Fiber Laser"},signatures:"Olanrewaju Adesina, Patricia Popoola and Olawale Fatoba",authors:[{id:"169258",title:"Dr.",name:"Patricia",middleName:null,surname:"Popoola",slug:"patricia-popoola",fullName:"Patricia Popoola"},{id:"176885",title:"Dr.",name:"Olawale",middleName:"Samuel",surname:"Fatoba",slug:"olawale-fatoba",fullName:"Olawale Fatoba"},{id:"176884",title:"Mr.",name:"Olanrewaju",middleName:null,surname:"Adesina",slug:"olanrewaju-adesina",fullName:"Olanrewaju Adesina"}]},{id:"49653",doi:"10.5772/61956",title:"Double-scale Pulses Generated by Mode-locked Fibre Lasers and Their Applications",slug:"double-scale-pulses-generated-by-mode-locked-fibre-lasers-and-their-applications",totalDownloads:1514,totalCrossrefCites:5,totalDimensionsCites:11,abstract:"This chapter presents a detailed analysis of properties of double-scale pulses (also called noise-like pulses and femtosecond clusters) generated in fibre lasers and gives an in-depth discussion of promising applications of such pulses.",book:{id:"5091",slug:"fiber-laser",title:"Fiber Laser",fullTitle:"Fiber Laser"},signatures:"Sergey Kobtsev, Sergey Smirnov and Sergey Kukarin",authors:[{id:"100017",title:"Dr.",name:"Sergey",middleName:null,surname:"Smirnov",slug:"sergey-smirnov",fullName:"Sergey Smirnov"},{id:"100018",title:"Dr.",name:"Sergey",middleName:null,surname:"Kukarin",slug:"sergey-kukarin",fullName:"Sergey Kukarin"},{id:"176724",title:"D.Sc.",name:"Sergey",middleName:null,surname:"Kobtsev",slug:"sergey-kobtsev",fullName:"Sergey Kobtsev"}]},{id:"49471",doi:"10.5772/61703",title:"Passive Q-switched and Mode-locked Fiber Lasers Using Carbon-based Saturable Absorbers",slug:"passive-q-switched-and-mode-locked-fiber-lasers-using-carbon-based-saturable-absorbers",totalDownloads:2416,totalCrossrefCites:3,totalDimensionsCites:10,abstract:"This chapter aims to familiarize readers with general knowledge of passive Q-switched and mode-locked fiber lasers. It emphasizes on carbon-based saturable absorbers, namely graphene and carbon nanotubes (CNTs); their unique electronic band structures and optical characteristics. The methods of incorporating these carbon-based saturable absorbers into fiber laser cavity will also be discussed. Lastly, several examples of experiments where carbon-based saturable absorbers were used in generating passive Q-switched and mode-locked fiber lasers are demonstrated.",book:{id:"5091",slug:"fiber-laser",title:"Fiber Laser",fullTitle:"Fiber Laser"},signatures:"Mohd Afiq Ismail, Sulaiman Wadi Harun, Harith Ahmad and Mukul\nChandra Paul",authors:[{id:"14201",title:"Dr.",name:"Sulaiman Wadi",middleName:null,surname:"Harun",slug:"sulaiman-wadi-harun",fullName:"Sulaiman Wadi Harun"},{id:"17620",title:"Prof.",name:"Harith",middleName:null,surname:"Ahmad",slug:"harith-ahmad",fullName:"Harith Ahmad"},{id:"66454",title:"Dr.",name:"Mukul",middleName:"Chandra",surname:"Paul",slug:"mukul-paul",fullName:"Mukul Paul"},{id:"176726",title:"Dr.",name:"Mohd Afiq",middleName:null,surname:"Bin Ismail",slug:"mohd-afiq-bin-ismail",fullName:"Mohd Afiq Bin Ismail"}]},{id:"49681",doi:"10.5772/61856",title:"Fiber-laser-generated Noise-like Pulses and Their Applications",slug:"fiber-laser-generated-noise-like-pulses-and-their-applications",totalDownloads:2903,totalCrossrefCites:4,totalDimensionsCites:6,abstract:"We describe generation and amplification of medium- and high-energy noise-like pulses (NLPs) using Yb-doped optical fibers. We also demonstrate supercontinuum (SC) generation techniques in which NLPs serve as the pump. SC pumped by NLPs has been employed successfully in optical coherence tomography systems.",book:{id:"5091",slug:"fiber-laser",title:"Fiber Laser",fullTitle:"Fiber Laser"},signatures:"Ci-Ling Pan, Alexey Zaytsev, Yi-Jing You and Chih-Hsuan Lin",authors:[{id:"3341",title:"Prof.",name:"Ci-Ling",middleName:null,surname:"Pan",slug:"ci-ling-pan",fullName:"Ci-Ling Pan"},{id:"177838",title:"Dr.",name:"Alexey",middleName:null,surname:"Zaystev",slug:"alexey-zaystev",fullName:"Alexey Zaystev"},{id:"177839",title:"Ph.D. Student",name:"Yi-Jing",middleName:null,surname:"You",slug:"yi-jing-you",fullName:"Yi-Jing You"},{id:"177840",title:"Dr.",name:"Chih-Hsuan",middleName:null,surname:"Lin",slug:"chih-hsuan-lin",fullName:"Chih-Hsuan Lin"}]}],mostDownloadedChaptersLast30Days:[{id:"63912",title:"Avalanche Photodiode Focal Plane Arrays and Their Application to Laser Detection and Ranging",slug:"avalanche-photodiode-focal-plane-arrays-and-their-application-to-laser-detection-and-ranging",totalDownloads:1727,totalCrossrefCites:0,totalDimensionsCites:1,abstract:"Focal-plane avalanche photodiodes (APDs) are being more and more widely and deeply studied to satisfy the requirement in weak light and single photon imaging. The progresses of this worldwide study, especially the distinctive researches and achievements in Southwest Institute of Technical Physics and University of Electronic Science and Technology of China are reviewed in this chapter. We successfully fabricated up to 64 × 1 linear-mode Si APD arrays, and 32 × 32–64 × 64 Si single-photon avalanche detector (SPAD) arrays, and applied them in Laser Detection and Ranging (LADAR) platforms like driverless vehicles. Also, we developed 32 × 32–64 × 64 InGaAsP/InP SPAD arrays, and constructed three-dimensional imaging LADAR using them. Together with the progresses of other groups and other materials, we see a prospective future for the development and application of focal-plane APDs.",book:{id:"7310",slug:"advances-in-photodetectors-research-and-applications",title:"Advances in Photodetectors",fullTitle:"Advances in Photodetectors - Research and Applications"},signatures:"Hai-Zhi Song",authors:[{id:"196114",title:"Prof.",name:"Hai-Zhi",middleName:null,surname:"Song",slug:"hai-zhi-song",fullName:"Hai-Zhi Song"}]},{id:"49810",title:"Gain Saturation in Optical Fiber Laser Amplifiers",slug:"gain-saturation-in-optical-fiber-laser-amplifiers",totalDownloads:2780,totalCrossrefCites:4,totalDimensionsCites:5,abstract:"This chapter describes the determination of amplifying parameters in rare–earth–doped optical fiber laser amplifiers. In the context of this review, the system will be analyzed under both continuous–wave (CW) and pulse conditions. A comprehensive analysis has been implemented using the set of coupled propagation rate equations based on the atomic energy structure of dopant as well as the absorption and emission cross sections.",book:{id:"5091",slug:"fiber-laser",title:"Fiber Laser",fullTitle:"Fiber Laser"},signatures:"Maryam Eilchi and Parviz Parvin",authors:[{id:"11130",title:"Prof.",name:"Parviz",middleName:null,surname:"Parvin",slug:"parviz-parvin",fullName:"Parviz Parvin"},{id:"176583",title:"Dr.",name:"Maryam",middleName:null,surname:"Eilchi",slug:"maryam-eilchi",fullName:"Maryam Eilchi"}]},{id:"76115",title:"Passive and Active Topologies Investigation for LED Driver Circuits",slug:"passive-and-active-topologies-investigation-for-led-driver-circuits",totalDownloads:371,totalCrossrefCites:1,totalDimensionsCites:1,abstract:"In this chapter, a survey of LED driver circuits is presented. The driver circuit is a crucial component in the LED light system. It provides the correct voltage and current values for the best brightness and long life. Furthermore, the driver circuits contribute to obtaining high efficiency and reliability light system. Several lighting applications need different driver topologies that meet the use requirement and the energy sources available. In actual applications, passive and active circuits are implemented to satisfy the LED driver electrical requirements and cost-effective demands. The LED driver circuits investigation evaluate the issues and the solutions in the LED lighting systems connected to a DC source such as a battery or AC line. The AC line connection requisites such as the power factor correction and the harmonic distortion are dealt with both the driver topology and control optimization. Also, the volume reduction need is examined in the circuitry choice. 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Then the cathode material was grown by the metalorganic chemical vapor deposition technique, and the epitaxial cathode material quality was evaluated by the means of scanning electron microscope, electrochemical capacitance-voltage, X-ray diffraction and spectrophotometry. Through a series of specific processes, the cathode material was made into the multilayered module, possessing a glass/Si3N4/AlxGa1−xAs/GaAs structure. After the surface treatment including heat cleaning and Cs▬O activation for the cathode module, the image intensifier tube comprising the activated cathode module, microchannel plate, and phosphor screen was fabricated by indium sealing. 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The whole process of submitting an article and editing of the submitted article goes extremely smooth and fast, the number of reads and downloads of chapters is high, and the contributions are also frequently cited.",author:{id:"55578",name:"Antonio",surname:"Jurado-Navas",institutionString:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRisIQAS/Profile_Picture_1626166543950",slug:"antonio-jurado-navas",institution:{id:"720",name:"University of Malaga",country:{id:null,name:"Spain"}}}},{id:"6",text:"It is great to work with the IntechOpen to produce a worthwhile collection of research that also becomes a great educational resource and guide for future research endeavors.",author:{id:"259298",name:"Edward",surname:"Narayan",institutionString:null,profilePictureURL:"https://mts.intechopen.com/storage/users/259298/images/system/259298.jpeg",slug:"edward-narayan",institution:{id:"3",name:"University of Queensland",country:{id:null,name:"Australia"}}}}]},series:{item:{id:"24",title:"Sustainable Development",doi:"10.5772/intechopen.100361",issn:null,scope:"
\r\n\tTransforming our World: the 2030 Agenda for Sustainable Development endorsed by United Nations and 193 Member States, came into effect on Jan 1, 2016, to guide decision making and actions to the year 2030 and beyond. Central to this Agenda are 17 Goals, 169 associated targets and over 230 indicators that are reviewed annually. The vision envisaged in the implementation of the SDGs is centered on the five Ps: People, Planet, Prosperity, Peace and Partnership. This call for renewed focused efforts ensure we have a safe and healthy planet for current and future generations.
\r\n
\r\n\t
\r\n
\r\n\tThis Series focuses on covering research and applied research involving the five Ps through the following topics:
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\r\n\t1. Sustainable Economy and Fair Society that relates to SDG 1 on No Poverty, SDG 2 on Zero Hunger, SDG 8 on Decent Work and Economic Growth, SDG 10 on Reduced Inequalities, SDG 12 on Responsible Consumption and Production, and SDG 17 Partnership for the Goals
\r\n
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\r\n\t2. Health and Wellbeing focusing on SDG 3 on Good Health and Wellbeing and SDG 6 on Clean Water and Sanitation
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\r\n\t
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\r\n\t3. Inclusivity and Social Equality involving SDG 4 on Quality Education, SDG 5 on Gender Equality, and SDG 16 on Peace, Justice and Strong Institutions
\r\n
\r\n\t
\r\n
\r\n\t4. Climate Change and Environmental Sustainability comprising SDG 13 on Climate Action, SDG 14 on Life Below Water, and SDG 15 on Life on Land
\r\n
\r\n\t
\r\n
\r\n\t5. Urban Planning and Environmental Management embracing SDG 7 on Affordable Clean Energy, SDG 9 on Industry, Innovation and Infrastructure, and SDG 11 on Sustainable Cities and Communities.
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\r\n\tThe series also seeks to support the use of cross cutting SDGs, as many of the goals listed above, targets and indicators are all interconnected to impact our lives and the decisions we make on a daily basis, making them impossible to tie to a single topic.
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\r\n\tIf we aim to prosper as a society and as a species, there is no alternative to sustainability-oriented development and growth. Sustainable development is no longer a choice but a necessity for us all. Ecosystems and preserving ecosystem services and inclusive urban development present promising solutions to environmental problems. Contextually, the emphasis on studying these fields will enable us to identify and define the critical factors for territorial success in the upcoming decades to be considered by the main-actors, decision and policy makers, technicians, and public in general.
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\r\n\tHolistic urban planning and environmental management are therefore crucial spheres that will define sustainable trajectories for our urbanizing planet. This urban and environmental planning topic aims to attract contributions that address sustainable urban development challenges and solutions, including integrated urban water management, planning for the urban circular economy, monitoring of risks, contingency planning and response to disasters, among several other challenges and solutions.
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Behind these definitions are hidden all the aspects of normal and pathological functioning of all processes that the topic ‘Metabolism’ will cover within the Biochemistry Series. 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Thus proteomics, an area of research that detects all protein forms expressed in an organism, including splice isoforms and post-translational modifications, is more suitable than genomics for a comprehensive understanding of the biochemical processes that govern life. The most common proteomics applications are currently in the clinical field for the identification, in a variety of biological matrices, of biomarkers for diagnosis and therapeutic intervention of disorders. From the comparison of proteomic profiles of control and disease or different physiological states, which may emerge, changes in protein expression can provide new insights into the roles played by some proteins in human pathologies. Understanding how proteins function and interact with each other is another goal of proteomics that makes this approach even more intriguing. Specialized technology and expertise are required to assess the proteome of any biological sample. 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