Reda R. Gharieb

Assiut University, Egypt

Reda R. Gharieb, Ph.D. is a Professor of Biomedical and Bioelectronics Engineering, Assiut University, Egypt. He served as a scientist in Japan and the United States. He worked for Fairway Medical Technologies Inc. and Seno Medical Instruments Inc., Texas, USA, on their photoacoustic imaging (PAI) technology. He developed algorithms for 2D image reconstruction in PAI of breast and prostate cancers. He also developed an algorithm for 3D image reconstruction in PAI of a small animal, using a rotated ARC-shaped sensor array. Dr. Gharieb has authored three books, four book chapters, two patents, and about sixty papers. He has also edited two books. His research interests include signal/image processing, modeling and simulation, statistical and scientific computing, bioinstrumentation, and computed tomography.

2books edited

3chapters authored

Latest work with IntechOpen by Reda R. Gharieb

A computed tomography (CT) scan uses X-rays and a computer to create detailed images of the inside of the body. CT scanners measure, versus different angles, X-ray attenuations when passing through different tissues inside the body through rotation of both X-ray tube and a row of X-ray detectors placed in the gantry. These measurements are then processed using computer algorithms to reconstruct tomographic (cross-sectional) images. CT can produce detailed images of many structures inside the body, including the internal organs, blood vessels, and bones. This book presents a comprehensive overview of CT scanning. Chapters address such topics as instrumental basics, CT imaging in coronavirus, radiation and risk assessment in chest imaging, positron emission tomography (PET), and feature extraction.

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Computed-Tomography (CT) Scan

Edited by Reda R. Gharieb

Books edited

Photoacoustic Imaging

Edited by Reda R. Gharieb

Chapters authored

Incorporating Local Data and KL Membership Divergence into Hard C-Means Clustering for Fuzzy and Noise-Robust Data Segmentation

By Reda R. Gharieb

Hard C-means (HCM) and fuzzy C-means (FCM) algorithms are among the most popular ones for data clustering including image data. The HCM algorithm offers each data entity with a cluster membership of 0 or 1. This implies that the entity will be assigned to only one cluster. On the contrary, the FCM algorithm provides an entity with a membership value between 0 and 1, which means that the entity may belong to all clusters but with different membership values. The main disadvantage of both HCM and FCM algorithms is that they cluster an entity based on only its self-features and do not incorporate the influence of the entity’s neighborhoods, which makes clustering prone to additive noise. In this chapter, Kullback-Leibler (KL) membership divergence is incorporated into the HCM for image data clustering. This HCM-KL-based clustering algorithm provides twofold advantage. The first one is that it offers a fuzzification approach to the HCM clustering algorithm. The second one is that by incorporating a local spatial membership function into the HCM objective function, additive noise can be tolerated. Also spatial data is incorporated for more noise-robust clustering.

Part of the book: Recent Applications in Data Clustering

Photoacoustic Imaging for Cancer Diagnosis: A Breast Tumor Example

By Reda R. Gharieb

Photoacoustic (PA) imaging utilizes laser pulses to deliver energy to an examined object for the generation of ultrasonic waves. Thus, it provides a noninvasive and nonionizing imaging modality. Therefore, it has found clinical use for cancer diagnosis in different organs, e.g., breast, prostate, and thyroid nodules. It offers morphological, functional, and molecular imaging. Moreover, the oxygen saturation in a body can be computed by calculating the wavelength-dependent light absorption coefficients at two different wavelengths. In this chapter, the principle of the PA imaging is introduced for the present book.

Part of the book: Photoacoustic Imaging

X-Rays and Computed Tomography Scan Imaging: Instrumentation and Medical Applications

By Reda R. Gharieb

This chapter gives a review for both conventional X-ray and computed tomography (CT) scan imaging modalities and their medical applications. The chapter presents a brief history on the discovery of X-ray, X-ray imaging, and computed tomography scan. The linear projection for the generation of the sinogram (the detector’s signals versus the rotational angle) and the filtered backprojection for image reconstruction are discussed. Computer simulations for linear and fan beams X -ray are also presented. The chapter discusses some medical applications of both the conventional X-ray and CT scan imaging.

Part of the book: Computed-Tomography (CT) Scan

Reda R. Gharieb

Latest work with IntechOpen by Reda R. Gharieb

Computed-Tomography (CT) Scan

Books edited

Photoacoustic Imaging

Chapters authored

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