Handbook of Biomedical Imaging (PDF)
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Biomedical image analysis has become a major aspect of engineering sciences, and radiology in particular has become a dominant player in the field. Recent developments have made it possible to use biomedical imaging to view the human body from an anatomical or physiological perspective in a non-invasive fashion. Computer-aided diagnosis consists of developing algorithms and intelligent software components that can automatically process images and spot potential irregularities in the health chain.
This book explains the process of computer assisted biomedical image analysis diagnosis through mathematical modeling and inference of image-based bio-markers. It covers five crucial thematic areas: methodologies, statistical and physiological models, biomedical perception, clinical biomarkers, and emerging modalities and domains.
The dominant state-of-the-art methodologies for content extraction and interpretation of medical images include fuzzy methods, level set methods, kernel methods, and geometric deformable models. The models and techniques discussed are used in the diagnosis, planning, control and follow-up of medical procedures. Throughout the book, challenges and limitations are explored along with new research directions.
This complete volume is an exceptional tool for radiologists, research scientists, senior undergraduate and graduate students in health sciences and engineering, and university professors. This book offers a unique guide to the entire chain of biomedical imaging, explaining how image formation is done, and how the most appropriate algorithms are used to address demands and diagnoses.
Nicholas Ayache is a Research Director at INRIA, France, and the scientific leader of the ASCLEPIOS project-team in Sophia Antipolis. His current research interests include the analysis and simulation of biomedical images with advanced geometrical, statistical,biophysical and functional models, and the application of these tools to medicine to improve the diagnosis and therapy of diseases. His publications, which have received over 25,000 citations (according to scholar), may be found at: http://www-sop.inria.fr/members/Nicholas.Ayache. Dr. Ayache received in 2008 the "Microsoft Award for Science in Europe"awarded
James S. Duncan is the Ebenezer K. Hunt Professor of Biomedical Engineering and a Professor of Diagnostic Radiology and Electrical Engineering at Yale University. Professor Duncan received his B.S.E.E. with honors from Lafayette College (1973), his M.S. (1975) from UCLA and Ph.D. (1982) in Electrical Engineering from the University of Southern California. Professor Duncan has been at Yale University since 1983, and the Ebenezer K. Hunt Professor of Biomedical Engineering at Yale University since 2007. He has served as the Acting Chair and is currently Director of Undergraduate Studies for Biomedical Engineering. His research efforts have been in the areas of computer vision, image processing, and medical imaging, with an emphasis on biomedical image analysis. These efforts have included the segmentation of deformable structure from 3D image data, the tracking of non-rigid motion/deformation from spatiotemporal images, and the development of strategies for image-guided intervention/surgery. He has published over 220 peer-reviewed articles in these areas and has been the principal investigator on a number of peer-reviewed grants from both the National Institutes of Health and the National ScienceFoundation over the past 28 years. Professor Duncan is a Fellow of the Institute of Electrical and Electronic Engineers (IEEE), of the American Institute for Medical and Biological Engineering (AIMBE) and of the Medical Image Computing and Computer Assisted Intervention (MICCAI) Society. He currently serves as co-Editor-in-Chief of Medical Image Analysis and as an Associate Editor of IEEE Transactions on Medical Imaging. In 2012, he was elected to the Council of Distinguished Investigators, Academy of Radiology Research. In 2014, he was elected to the Connecticut Academy of Science and Engineering.
- 2015, 2015, 511 Seiten, Englisch
- Herausgegeben: Nikos Paragios, James Duncan, Nicholas Ayache
- Verlag: Springer-Verlag GmbH
- ISBN-10: 038709749X
- ISBN-13: 9780387097497
- Erscheinungsdatum: 24.03.2015
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- Größe: 14 MB
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