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„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)
Advanced Biomedical Image Analysis
von Mark HaidekkerA 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.
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.