Yousif Abdallah

By Yousif Mohamed Y. Abdallah and Tariq Alqahtani

Medical imaging is the procedure used to attain images of the body parts for medical uses in order to identify or study diseases. There are millions of imaging procedures done every week worldwide. Medical imaging is developing rapidly due to developments in image processing techniques including image recognition, analysis, and enhancement. Image processing increases the percentage and amount of detected tissues. This chapter presents the application of both simple and sophisticated image analysis techniques in the medical imaging field. This chapter also summarizes how to exemplify image interpretation challenges using different image processing algorithms such as k-means, ROI-based segmentation, and watershed techniques.

Part of the book: Medical Imaging

By Yousif Mohamed Y. Abdallah and Nouf H. Abuhadi

Medical imaging is of one of the most essential means in the investigation of cardiac disorders. In patients, the detection of the whole heart and its adjacent tissues is a crucial procedure since it helps in myocarditis and pericarditis managements. Weekly, there are millions of cardiac imaging performed globally. Medical imaging and processing techniques such as image segmentation, augmentation, and scrutiny can detect cardiac lesions rapidly and precisely. This chapter discusses the application of medical imaging in the diagnosis of myocarditis and pericarditis. This chapter also summarized how to demonstrate image interpretation challenges using diverse image processing procedures and techniques.

Part of the book: Inflammatory Heart Diseases

By Yousif Mohamed Y. Abdallah and Nouf H. Abuhadi

Medical imaging of the nervous system is the methodology used to achieve pictures of parts of the nervous system for therapeutic uses to recognize the ailments. Magnetic resonance imaging (MRI) is a kind of medical imaging tool that utilizes solid magnetic fields and radio waves to deliver point-by-point pictures of the inside of the body. There are large number of imaging methodologies done each week around the world. Medical imaging is developing rapidly due to developments in image acquisition tools including functional MRI and hybrid imaging modalities. This chapter abridged the role of magnetic resonance imaging (MRI) in autonomic nervous system monitoring. This chapter also summarizes the image interpretation challenges in diagnosing autonomic nervous system disorders.

Part of the book: Autonomic Nervous System Monitoring

By Abdullah Alamoudi and Yousif Abdallah

Cross-sectional imaging approaches play a key role in assessing bleeding brain injuries. Doctors commonly determine bleeding size and severity in CT and MRI. Separating and identifying artifacts is extremely important in processing medical images. Image and signal processing are used to classify tissues within images closely linked to edges. In CT images, a subjective process takes a stroke ‘s manual contour with less precision. This chapter presents the application of both image and signal processing techniques in the characterization of Brain Stroke field. This chapter also summarizes how to characterize the brain stroke using different image processing algorithms such as ROI based segmentation and watershed methods.

Part of the book: Biomedical Signal and Image Processing