Abdomen and Thoracic Imaging

The book covers novel strategies of state of the art in engineering and clinical analysis and approaches for analyzing abdominal imaging, including lung, mediastinum, pleura, liver, kidney and gallbladder. In the last years the imaging techniques have experienced a tremendous improvement in the diagnosis and characterization of the pathologies that affect abdominal organs. In particular, the introduction of extremely fast CT scanners and high Magnetic field MR Systems allow imaging with an exquisite level of detail the anatomy and pathology of liver, kidney, pancreas, gallbladder as well as lung and mediastinum. Moreover, thanks to the development of powerful computer hardware and advanced mathematical algorithms the quantitative and automated\semi automated diagnosis of the pathology is becoming a reality. Medical image analysis plays an essential role in the medical imaging field, including computer-aided diagnosis, organ/lesion segmentation, image registration, and image-guided therapy.

This book will cover all the imaging techniques, potential for applying such imaging clinically, and offer present and future applications as applied to the abdomen and thoracic imaging with the most world renowned scientists in these fields. The main aim of this book is to help advance scientific research within the broad field of abdominal imaging. This book focuses on major trends and challenges in this area, and it presents work aimed to identify new techniques and their use in medical imaging analysis for abdominal imaging.

Covers novel, state-of-the-art strategies in engineering and clinical analysis Explores approaches for analyzing abdominal imaging, including lung, mediastinum, pleura, liver, kidney and gallbladder Offers present and future applications as applied to the abdomen and thoracic imaging with the most world-renowned scientists in these fields Includes supplementary material: sn.pub/extras

Auteur
Dr. Jasjit Suri has spent last 25 years in biomedical imaging sciences and biomedical devices and his last 14 years has been dedicated in the field of medical imaging modalities and its fusion. He has published hundreds technical papers in body imaging, relating to modalities like MR, CT, X-ray, PET, SPECT, Elastography and Molecular Imaging. While working more than one decade in industries like: Siemens Research, Philips Research and Fischer Research Divisions in the capacity of Scientist and Senior Director of R & D's, Dr. Suri has submitted more than 15 US Patents with Washington DC USPTO, covering in the area of medical imaging modalities. Dr. Suri has also edited several collaborative books in the area of body imaging (such as Cardiology, Neurology, Pathology, Mammography, Angiography, Vascular, Atherosclerosis/Plaque Imaging, Mammography/Breast Imaging and Molecular imaging) covering Medical Image Segmentation, image and volume registration, and physics of medical imaging modalities and emerging applications of medical imaging technologies including medical devices/imaging. Most of his books have been published with Springer.

Texte du rabat

Ayman El-Baz, Ph.D., Associate Professor in the Department of Bioengineering at the University of Louisville, KY. Dr. El-Baz has fourteen years of hands-on experience in the fields of bioimaging modeling and computer-assisted diagnostic systems. His work has been reported at several prestigious international conferences (e.g., CVPR, ICCV, MICCAI, ISBI, etc.) and in journals (e.g., IEEE TMI, IEEE TIP, IEEE TBME, IEEE TITB, Brain, NMR, etc.). Dr. El-Baz has authored or coauthored more than 300 technical articles.

Luca Saba, MD, is a researcher in the field of Multi-Detector-Row Computed Tomography, Magnetic Resonance, Ultrasound, Neuroradiology, and Diagnostic in Vascular Sciences. His works, as lead author, achieved more than 100 high impact factor, peer-reviewed Journals. He is well known speaker and has spoken over 45 times at national and international levels. Dr. Saba has won 12 scientific and extracurricular awards during his career.

Jasjit S. Suri, MS, PhD, MBA is an innovator, visionary, scientist, and an internationally known world leader in the field of Healthcare Imaging and biomedical devices. Dr. Suri was the recipient of Director General's Gold medal in 1980 and the Fellow of American Institute of Medical and Biological Engineering (AIMBE), awarded by National Academy of Sciences, Washington DC in 2004. Dr. Suri has been the chairman of IEEE Denver section, has won over 50 awards during his career including project, program and regulatory management, and has held several executive positions.

Contenu
Computer Aided Diagnosis Systems for Acute Renal Transplant Rejection: Challenges and Methodologies.- Kidney Detection and Segmentation in Contrast-Enhanced Ultrasound 3D Images.- Renal Cortex Segmentation on Computed Tomography.- Diffuse Fatty Liver Disease: from Diagnosis to Quantification.- Multimodality Approach to Detection and Characterization of Hepatic Hemangiomas.- Ultrasound Liver Surface and Textural Characterization for the Detection of Liver Cirrhosis.- MR Imaging of HepatocellularCarcinoma.- Magnetic Resonance Imaging of Adenocarcinoma.- Quantitative Evaluation of Liver Function Within MR Imaging.- Diffusion-Weighted Imaging of the Liver.- Shape-Based Liver Segmentation Without Prior Statistical Models.- CT Imaging Characteristics of Hepatocellular Carcinoma.- Clinical Applications of Hepatobiliary MR Contrast Agents.- Fast Object Detection Using Color Features for Colonoscopy Quality Measurements.- Colon Surface Registration Using Ricci Flow.- Efficient Topological Cleaning for Visual Colon Surface Flattening.- Towards Self-Parameterized Active Contours for Medical Image Segmentation with Emphasis on Abdomen.- Bridging the Gap between Modeling of Tumor Growth and Clinical Imaging.- Evaluation of Medical Image Registration by Using High-Accuracy Image Matching Techniques.- Preclinical Visualization of Hypoxia, Proliferation and Glucose Metabolism In Non-Small Cell Lung Cancer And Its Metastasis.- Thermoacoustic Imaging With VHF Signal Generation A New Contrast Mechanism for Cancer Imaging over Large Fields of View.- Automated Prostate Cancer Localization With Multiparametric Magnetic Resonance Imaging.- Ultrasound-Fluoroscopy Registration For Intraoperative Dynamic Dosimetry In Prostate Brachytherapy.- Multi-Atlas-Based Segmentation of Pelvic Structures From CT Scans For Planning In Prostate Cancer Radiotherapy.- Propagating Segmentation of A Single Example to Similar Images: Differential Segmentation of the Prostate In 3-D MRI.- 3DREGistration of Whole-mount Prostate Histology IMAGEs to ex vivo magnetic resonance images using strand-shaped fiducials.- Anatomical Landmark Detection.- Index.