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Breast Neoplasms --- Breast --- Early Diagnosis. --- Mammography --- Radiographic Image Interpretation, Computer-Assisted. --- radiography. --- Cancer --- Imaging --- Radiography --- methods.

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"Biomedical Image Analysis demonstrates the benefits reaped from the application of digital image processing, computer vision, and pattern analysis techniques to biomedical images, such as adding objective strength and improving diagnostic confidence through quantitative analysis." "Biomedical Image Analysis focuses on post-acquisition challenges such as image enhancement, detection of edges and objects, analysis of shape, quantification of texture and sharpness, and pattern analysis, rather than on the imaging equipment and imaging techniques. Each chapter addresses several problems associated with imaging or image analysis, outlining the typical processes, then detailing more sophisticated methods directed to the specific problems of interest."--Jacket.

Diagnostic imaging --- Technology, Radiologic --- Image Enhancement --- Image Interpretation, Computer-Assisted --- Diagnostic Imaging --- Radiologic Technology --- Technology, Radiological --- Radiological Technology --- Radiography --- Digital diagnostic imaging --- Digital electronics --- Image Interpretation, Computer Assisted --- Computer-Assisted Image Interpretation --- Computer-Assisted Image Interpretations --- Image Interpretations, Computer-Assisted --- Interpretation, Computer-Assisted Image --- Interpretations, Computer-Assisted Image --- Digital techniques --- methods

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The introduction of fast ECG-synchronized computed tomography (CT) techniques enables imaging of the heart with a combination of speed and spatial resolution unparalleled by other noninvasive imaging modalities. Applying these modalities for the evaluation of coronary artery disease is a topic of active current research. Coronary artery calcium measurements are investigated as a marker for cardiac risk stratification. With contrast-enhanced CT coronary angiography, coronary arteries can be visualized with unprecedented detail, so that noninvasive stenosis assessment appears within reach. With increasing accuracy CT enables evaluation of coronary artery bypass grafts and stents. The cross-sectional nature of CT may to some degree allow noninvasive assessment of the coronary artery wall. CT for evaluating cardiac perfusion, motion, and viability is being investigated. In CT of the Heart, leading radiologists, cardiologists, physicists, engineers, and basic and clinical scientists from around the world survey the full scope of current developments, research, and scientific controversy regarding principles and applications of cardiac CT. Richly illustrated with numerous black-and-white and color images, the book discusses the interpretation of CT of the heart in a variety of clinical, physiologic, and pathologic applications. The authors emphasize current state-of-the-art uses of computed tomography, but also examine emerging developments at the horizon. They review the technical basis of CT image acquisition as well as the tools for image visualization and analysis. Meticulous and comprehensive, CT of the Heart authoritatively defines the current status of computed tomography of the heart, offering a truly balanced view of its technology, applications, significance, and future potential.

Heart --- Tomography, X-Ray Computed. --- Coeur --- radiography. --- Tomography. --- Tomographie --- Heart -- Tomography. --- Diagnostic Imaging --- Radiographic Image Enhancement --- Cardiovascular System --- Tomography, X-Ray --- Image Interpretation, Computer-Assisted --- Diagnostic Techniques and Procedures --- Image Enhancement --- Anatomy --- Tomography --- Photography --- Diagnosis --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Tomography, X-Ray Computed --- Radiography --- Medicine --- Health & Biological Sciences --- Cardiovascular Diseases --- Radiology, MRI, Ultrasonography & Medical Physics --- Cardiology. --- Cardiographic tomography --- Diseases --- Medicine. --- Radiology. --- Medicine & Public Health. --- Imaging / Radiology. --- Radiological physics --- Physics --- Radiation --- Clinical sciences --- Medical profession --- Human biology --- Life sciences --- Medical sciences --- Pathology --- Physicians --- Internal medicine --- Radiology, Medical. --- Clinical radiology --- Radiology, Medical --- Radiology (Medicine) --- Medical physics

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Handbook of Biomedical Image Analysis: Segmentation Models (Volume I) is dedicated to the segmentation of complex shapes from the field of imaging sciences using different mathematical techniques. This volume is aimed at researchers and educators in imaging sciences, radiological imaging, clinical and diagnostic imaging, physicists covering different medical imaging modalities, as well as researchers in biomedical engineering, applied mathematics, algorithmic development, computer vision, signal processing, computer graphics and multimedia in general, both in academia and industry . Key Features: - Principles of intra-vascular ultrasound (IVUS) - Principles of positron emission tomography (PET) - Physical principles of magnetic resonance angiography (MRA). - Basic and advanced level set methods - Shape for shading method for medical image analysis - Wavelet transforms and other multi-scale analysis functions - Three dimensional deformable surfaces - Level Set application for CT lungs, brain MRI and MRA volume segmentation - Segmentation of incomplete tomographic medical data sets - Subjective level sets for missing boundaries for segmentation About the Editors: Jasjit Suri, Ph.D. has spent over 20 years in the field of computer and electrical engineering, and more than a decade in imaging sciences. Dr. Suri has a masters degree in computer sciences from the University of Illinois and a doctorate in Electrical Engineering from the University of Washington, Seattle. Dr. Suri has published over 125 technical publications in medical imaging, as well as being a senior member of IEEE and a member of the engineering honor societies Eta-Kappa-Nu and Tau-Beta-Phi, and a recipient of the President's Gold Medal in 1980. He is also a fellow of American Institute of Medical and Biological Engineering. David Wilson, Ph D. is a Professor of Biomedical Engineering and Radiology at Case Western Reserve University, having gained his doctorate from Rice University. He has over 60 refereed journal publications and is co-owner of several patents. Professor Wilson has actively developed biomedical imaging at CWRU. He has led a faculty recruitment effort, and he has served as PI or has been an active leader on multiple research and equipment developmental awards given to CWRU, including an NIH planning grant award for an in vivo Cellular and Molecular Imaging Center and an Ohio Wright Center of Innovation award. Swamy Laxminarayan, Dsc championed the field of Biomedical Engineering for over 30 years, having held a variety of senior positions within the industry. He is an internationally recognized scientist, engineer, and educator and has been published in over 200 technical publications in biomedical information technology, computation biology, signal and image processing, biotechnology, and physiological system modeling. Prof. Laxminarayan is a fellow of AIMBE and a recipient of IEEE 3rd Millennium Medal.

Diagnostic imaging --- Image analysis --- Imagerie pour le diagnostic --- Analyse d'images --- Digital techniques --- Handbooks, manuals, etc. --- Mathematical models --- Techniques numériques --- Guides, manuels, etc. --- Modèles mathématiques --- Diagnostic imaging -- Digital techniques -- Handbooks, manuals, etc. --- Diagnostic imaging -- Mathematical models -- Handbooks, manuals, etc. --- Image analysis -- Handbooks, manuals, etc. --- Biomedical Engineering --- Radiology, MRI, Ultrasonography & Medical Physics --- Medicine --- Health & Biological Sciences --- Computer vision. --- Diagnostic imaging. --- Image processing. --- Techniques numériques --- Modèles mathématiques --- EPUB-LIV-FT LIVINGEN SPRINGER-B --- Analysis of images --- Image interpretation --- Clinical imaging --- Imaging, Diagnostic --- Medical diagnostic imaging --- Medical imaging --- Noninvasive medical imaging --- Medicine. --- Radiology. --- Internal medicine. --- Pathology. --- Computers. --- Computer graphics. --- Biomedical engineering. --- Medicine & Public Health. --- Internal Medicine. --- Biomedical Engineering. --- Imaging / Radiology. --- Theory of Computation. --- Computer Graphics. --- Imaging systems --- Diagnosis, Noninvasive --- Imaging systems in medicine --- Radiology, Medical. --- Information theory. --- Biomedical Engineering and Bioengineering. --- Clinical radiology --- Radiology, Medical --- Radiology (Medicine) --- Medical physics --- Clinical engineering --- Medical engineering --- Bioengineering --- Biophysics --- Engineering --- Medicine, Internal --- Disease (Pathology) --- Medical sciences --- Diseases --- Medicine, Preventive --- Communication theory --- Communication --- Cybernetics --- Automatic drafting --- Graphic data processing --- Graphics, Computer --- Computer art --- Graphic arts --- Electronic data processing --- Engineering graphics --- Image processing --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Machine theory --- Calculators --- Cyberspace --- Radiological physics --- Physics --- Radiation