{"product_id":"advanced-biomedical-image-analysis-isbn-9780470624586","title":"Advanced Biomedical Image Analysis","description":"A comprehensive reference of cutting-edge advanced techniques for quantitative image processing and analysis \u003cp\u003eMedical 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.\u003c\/p\u003e \u003cp\u003eAdvanced 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.\u003c\/p\u003e \u003cp\u003eImage registration, storage, transport, and compression are also covered, and there is a review of image analysis and visualization software. \u003c\/p\u003e \u003cp\u003eMembers of the academic community involved in image-related research as well as members of the professional R\u0026amp;D sector will rely on this volume.\u003cbr\u003e It is also well suited as a textbook for graduate-level image processing classes in the computer science and engineering fields.\u003c\/p\u003e \u003cp\u003ePreface ix\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Image Analysis: A Perspective 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1 Main Biomedical Imaging Modalities 3\u003c\/p\u003e \u003cp\u003e1.2 Biomedical Image Analysis 7\u003c\/p\u003e \u003cp\u003e1.3 Current Trends in Biomedical Imaging 12\u003c\/p\u003e \u003cp\u003e1.4 About This Book 15\u003c\/p\u003e \u003cp\u003eReferences 17\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Survey of Fundamental Image Processing Operators 23\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 Statistical Image Description 24\u003c\/p\u003e \u003cp\u003e2.2 Brightness and Contrast Manipulation 28\u003c\/p\u003e \u003cp\u003e2.3 Image Enhancement and Restoration 29\u003c\/p\u003e \u003cp\u003e2.4 Intensity-Based Segmentation (Thresholding) 42\u003c\/p\u003e \u003cp\u003e2.5 Multidimensional Thresholding 50\u003c\/p\u003e \u003cp\u003e2.6 Image Calculations 54\u003c\/p\u003e \u003cp\u003e2.7 Binary Image Processing 58\u003c\/p\u003e \u003cp\u003e2.8 Biomedical Examples 63\u003c\/p\u003e \u003cp\u003eReferences 68\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Image Processing in the Frequency Domain 70\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 The Fourier Transform 71\u003c\/p\u003e \u003cp\u003e3.2 Fourier-Based Filtering 82\u003c\/p\u003e \u003cp\u003e3.3 Other Integral Transforms: The Discrete Cosine Transform and the Hartley Transform 91\u003c\/p\u003e \u003cp\u003e3.4 Biomedical Examples 94\u003c\/p\u003e \u003cp\u003eReferences 100\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 The Wavelet Transform and Wavelet-Based Filtering 103\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 One-Dimensional Discrete Wavelet Transform 106\u003c\/p\u003e \u003cp\u003e4.2 Two-Dimensional Discrete Wavelet Transform 112\u003c\/p\u003e \u003cp\u003e4.3 Wavelet-Based Filtering 116\u003c\/p\u003e \u003cp\u003e4.4 Comparison of Frequency-Domain Analysis to Wavelet Analysis 128\u003c\/p\u003e \u003cp\u003e4.5 Biomedical Examples 130\u003c\/p\u003e \u003cp\u003eReferences 135\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Adaptive Filtering 138\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 Adaptive Noise Reduction 139\u003c\/p\u003e \u003cp\u003e5.2 Adaptive Filters in the Frequency Domain: Adaptive Wiener Filters 155\u003c\/p\u003e \u003cp\u003e5.3 Segmentation with Local Adaptive Thresholds and Related Methods 157\u003c\/p\u003e \u003cp\u003e5.4 Biomedical Examples 164\u003c\/p\u003e \u003cp\u003eReferences 170\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Deformable Models and Active Contours 173\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1 Two-Dimensional Active Contours (Snakes) 180\u003c\/p\u003e \u003cp\u003e6.2 Three-Dimensional Active Contours 193\u003c\/p\u003e \u003cp\u003e6.3 Live-Wire Techniques 197\u003c\/p\u003e \u003cp\u003e6.4 Biomedical Examples 205\u003c\/p\u003e \u003cp\u003eReferences 209\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 The Hough Transform 211\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7.1 Detecting Lines and Edges with the Hough Transform 213\u003c\/p\u003e \u003cp\u003e7.2 Detection of Circles and Ellipses with the Hough Transform 219\u003c\/p\u003e \u003cp\u003e7.3 Generalized Hough Transform 223\u003c\/p\u003e \u003cp\u003e7.4 Randomized Hough Transform 226\u003c\/p\u003e \u003cp\u003e7.5 Biomedical Examples 231\u003c\/p\u003e \u003cp\u003eReferences 234\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Texture Analysis 236\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e8.1 Statistical Texture Classification 238\u003c\/p\u003e \u003cp\u003e8.2 Texture Classification with Local Neighborhood Methods 242\u003c\/p\u003e \u003cp\u003e8.3 Frequency-Domain Methods for Texture Classification 254\u003c\/p\u003e \u003cp\u003e8.4 Run Lengths 257\u003c\/p\u003e \u003cp\u003e8.5 Other Classification Methods 263\u003c\/p\u003e \u003cp\u003e8.6 Biomedical Examples 265\u003c\/p\u003e \u003cp\u003eReferences 273\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Shape Analysis 276\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e9.1 Cluster Labeling 278\u003c\/p\u003e \u003cp\u003e9.2 Spatial-Domain Shape Metrics 279\u003c\/p\u003e \u003cp\u003e9.3 Statistical Moment Invariants 285\u003c\/p\u003e \u003cp\u003e9.4 Chain Codes 287\u003c\/p\u003e \u003cp\u003e9.5 Fourier Descriptors 291\u003c\/p\u003e \u003cp\u003e9.6 Topological Analysis 295\u003c\/p\u003e \u003cp\u003e9.7 Biomedical Examples 301\u003c\/p\u003e \u003cp\u003eReferences 307\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Fractal Approaches to Image Analysis 310\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e10.1 Self-Similarity and the Fractal Dimension 311\u003c\/p\u003e \u003cp\u003e10.2 Estimation Techniques for the Fractal Dimension in Binary Images 319\u003c\/p\u003e \u003cp\u003e10.3 Estimation Techniques for the Fractal Dimension in Gray-Scale Images 327\u003c\/p\u003e \u003cp\u003e10.4 Fractal Dimension in the Frequency Domain 331\u003c\/p\u003e \u003cp\u003e10.5 Local Hölder Exponent 337\u003c\/p\u003e \u003cp\u003e10.6 Biomedical Examples 340\u003c\/p\u003e \u003cp\u003eReferences 345\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Image Registration 350\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e11.1 Linear Spatial Transformations 352\u003c\/p\u003e \u003cp\u003e11.2 Nonlinear Transformations 355\u003c\/p\u003e \u003cp\u003e11.3 Registration Quality Metrics 360\u003c\/p\u003e \u003cp\u003e11.4 Interpolation Methods for Image Registration 371\u003c\/p\u003e \u003cp\u003e11.5 Biomedical Examples 379\u003c\/p\u003e \u003cp\u003eReferences 382\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Image Storage Transport and Compression 386\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e12.1 Image Archiving DICOM and PACS 389\u003c\/p\u003e \u003cp\u003e12.2 Lossless Image Compression 392\u003c\/p\u003e \u003cp\u003e12.3 Lossy Image Compression 400\u003c\/p\u003e \u003cp\u003e12.4 Biomedical Examples 408\u003c\/p\u003e \u003cp\u003eReferences 411\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 Image Visualization 413\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e13.1 Gray-Scale Image Visualization 413\u003c\/p\u003e \u003cp\u003e13.2 Color Representation of Gray-Scale Images 416\u003c\/p\u003e \u003cp\u003e13.3 Contour Lines 422\u003c\/p\u003e \u003cp\u003e13.4 Surface Rendering 422\u003c\/p\u003e \u003cp\u003e13.5 Volume Visualization 427\u003c\/p\u003e \u003cp\u003e13.6 Interactive Three-Dimensional Rendering and Animation 433\u003c\/p\u003e \u003cp\u003e13.7 Biomedical Examples 434\u003c\/p\u003e \u003cp\u003eReferences 438\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 Image Analysis and Visualization Software 441\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e14.1 Image Processing Software: An Overview 443\u003c\/p\u003e \u003cp\u003e14.2 ImageJ 447\u003c\/p\u003e \u003cp\u003e14.3 Examples of Image Processing Programs 452\u003c\/p\u003e \u003cp\u003e14.4 Crystal Image 456\u003c\/p\u003e \u003cp\u003e14.5 OpenDX 461\u003c\/p\u003e \u003cp\u003e14.6 Wavelet-Related Software 466\u003c\/p\u003e \u003cp\u003e14.7 Algorithm Implementation 466\u003c\/p\u003e \u003cp\u003eReferences 473\u003c\/p\u003e \u003cp\u003eAppendix A: Image Analysis with Crystal Image 475\u003c\/p\u003e \u003cp\u003eAppendix B: Software on DVD 497\u003c\/p\u003e \u003cp\u003eIndex 499\u003c\/p\u003e  \u003cp\u003e“It is a very good introduction to medical imaging as a whole and contains a lot of literature references for further reading for anyone with a specific interest in one of its parts.”  (Zentralblatt MATH, 1 December 2012)\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eMARK A. HAIDEKKER, P\u003csmall\u003eH\u003c\/small\u003eD,\u003c\/b\u003e 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.   \u003c\/p\u003e\u003cp\u003e\u003cb\u003eA comprehensive reference of cutting-edge techniques for quantitative image processing and analysis\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eMedical 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.  \u003c\/p\u003e\u003cp\u003e\u003ci\u003eAdvanced Biomedical Image Analysis\u003c\/i\u003e 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.  \u003c\/p\u003e\u003cp\u003eImage 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.  \u003c\/p\u003e\u003cp\u003eMembers of the academic community involved in image-related research as well as members of the professional R\u0026amp;D 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.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47988664336613,"sku":"NP9780470624586","price":189.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780470624586.jpg?v=1761781174","url":"https:\/\/k12savings.com\/products\/advanced-biomedical-image-analysis-isbn-9780470624586","provider":"K12savings","version":"1.0","type":"link"}