Advanced Biomedical Image Analysis

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9780470624586: Advanced Biomedical Image Analysis
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A comprehensive reference of cutting-edge advanced techniques forquantitative image processing and analysis

Medical diagnostics and intervention, and biomedical researchrely progressively on imaging techniques, namely, the ability tocapture, store, analyze, and display images at the organ, tissue,cellular, and molecular level. These tasks are supported byincreasingly powerful computer methods to process and analyzeimages. This text serves as an authoritative resource andself-study guide explaining sophisticated techniques ofquantitative image analysis, with a focus on biomedicalapplications. It offers both theory and practical examples forimmediate application of the topics as well as for in-depthstudy.

Advanced Biomedical Image Analysis presents methods in the fourmajor areas of image processing: image enhancement and restoration,image segmentation, image quantification and classification, andimage visualization. In each instance, the theory, mathematicalfoundation, and basic description of an image processing operatoris provided, as well as a discussion of performance features,advantages, and limitations. Key algorithms are provided inpseudo-code to help with implementation, and biomedical examplesare included in each chapter.

Image registration, storage, transport, and compression are alsocovered, and there is a review of image analysis and visualizationsoftware. The accompanying live DVD contains a selection of imageanalysis software, and it provides most of the algorithms from thebook so readers can immediately put their new knowledge to use.

Members of the academic community involved in image-relatedresearch as well as members of the professional R&D sector willrely on this volume.
It is also well suited as a textbook for graduate-level imageprocessing classes in the computer science and engineeringfields.

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About the Author:

MARK A. HAIDEKKER, PhD, is an associate professor in the Faculty of Engineering at the University of Georgia. Dr. Haidekker develops image analysis methods based on modern imaging modalities, including computed tomography (CT), magnetic resonance imaging (MRI), and optical imaging. Specific areas of his research include the relationship between images of organs and their biomechanical properties, the development and improvement of laser-based imaging modalities, and the development of methods to image microviscosity and micro-flow patterns with mechanosensitive fluorescent molecular rotors.

Review:

“It is a very good introduction to medical imaging as awhole and contains a lot of literature references for furtherreading for anyone with a specific interest in one of itsparts.”  (Zentralblatt MATH, 1 December 2012)

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Book Description John Wiley and Sons Ltd, United States, 2010. Hardback. Condition: New. Language: English . Brand New Book. A comprehensive reference of cutting-edge advanced techniques for quantitative image processing and analysis Medical diagnostics and intervention, and biomedical research rely progressively on imaging techniques, namely, the ability to capture, store, analyze, and display images at the organ, tissue, cellular, and molecular level. These tasks are supported by increasingly powerful computer methods to process and analyze images. This text serves as an authoritative resource and self-study guide explaining sophisticated techniques of quantitative image analysis, with a focus on biomedical applications. It offers both theory and practical examples for immediate application of the topics as well as for in-depth study. Advanced Biomedical Image Analysis presents methods in the four major areas of image processing: image enhancement and restoration, image segmentation, image quantification and classification, and image visualization. In each instance, the theory, mathematical foundation, and basic description of an image processing operator is provided, as well as a discussion of performance features, advantages, and limitations. Key algorithms are provided in pseudo-code to help with implementation, and biomedical examples are included in each chapter. Image registration, storage, transport, and compression are also covered, and there is a review of image analysis and visualization software. The accompanying live DVD contains a selection of image analysis software, and it provides most of the algorithms from the book so readers can immediately put their new knowledge to use. Members of the academic community involved in image-related research as well as members of the professional RD sector will rely on this volume. It is also well suited as a textbook for graduate-level image processing classes in the computer science and engineering fields. Seller Inventory # AAH9780470624586

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Book Description John Wiley and Sons Ltd, United States, 2010. Hardback. Condition: New. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. A comprehensive reference of cutting-edge advanced techniques for quantitative image processing and analysis Medical diagnostics and intervention, and biomedical research rely progressively on imaging techniques, namely, the ability to capture, store, analyze, and display images at the organ, tissue, cellular, and molecular level. These tasks are supported by increasingly powerful computer methods to process and analyze images. This text serves as an authoritative resource and self-study guide explaining sophisticated techniques of quantitative image analysis, with a focus on biomedical applications. It offers both theory and practical examples for immediate application of the topics as well as for in-depth study. Advanced Biomedical Image Analysis presents methods in the four major areas of image processing: image enhancement and restoration, image segmentation, image quantification and classification, and image visualization. In each instance, the theory, mathematical foundation, and basic description of an image processing operator is provided, as well as a discussion of performance features, advantages, and limitations. Key algorithms are provided in pseudo-code to help with implementation, and biomedical examples are included in each chapter. Image registration, storage, transport, and compression are also covered, and there is a review of image analysis and visualization software. The accompanying live DVD contains a selection of image analysis software, and it provides most of the algorithms from the book so readers can immediately put their new knowledge to use. Members of the academic community involved in image-related research as well as members of the professional RD sector will rely on this volume. It is also well suited as a textbook for graduate-level image processing classes in the computer science and engineering fields. Seller Inventory # BTE9780470624586

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