"The Handbook of Medical Image Processing and Analysis" is a comprehensive compilation of concepts and techniques used for processing and analyzing medical images after they have been generated or digitized. The handbook is organized into six sections that relate to the main functions: enhancement, segmentation, quantification, registration, visualization, and compression, storage and communication. The second edition is extensively revised and updated throughout, reflecting new technology and research, and includes new chapters on: higher order statistics for tissue segmentation; tumor growth modeling in oncological image analysis; analysis of cell nuclear features in fluorescence microscopy images; imaging and communication in medical and public health informatics; and, dynamic mammogram retrieval from web-based image libraries. For those looking to explore advanced concepts and access essential information, this second edition of "Handbook of Medical Image Processing and Analysis" is an invaluable resource. It remains the most complete single volume reference for biomedical engineers, researchers, professionals and those working in medical imaging and medical image processing. Dr. Isaac N. Bankman is the supervisor of a group that specializes on imaging, laser and sensor systems, modeling, algorithms and testing at the Johns Hopkins University Applied Physics Laboratory. He received his BSc degree in Electrical Engineering from Bogazici University, Turkey, in 1977, the MSc degree in Electronics from University of Wales, Britain, in 1979, and a PhD in Biomedical Engineering from the Israel Institute of Technology, Israel, in 1985. He is a member of SPIE. This title includes contributions from internationally renowned authors from leading institutions. NEW! 35 of 56 chapters have been revised and updated. Additionally, five new chapters have been added on important topics including Nonlinear 3D Boundary Detection, Adaptive Algorithms for Cancer Cytological Diagnosis, Dynamic Mammogram Retrieval from Web-Based Image Libraries, Imaging and Communication in Health Informatics and Tumor Growth Modeling in Oncological Image Analysis. This title provides a complete collection of algorithms in computer processing of medical images. It contains over 60 pages of stunning, four-color images.
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Book Description Academic Press, 2008. Hardcover. Book Condition: New. New Condition. SKU:9780123739049-1-0-3. Bookseller Inventory # 9780123739049-1-0-3
Book Description Academic Press, 2008. Hardcover. Book Condition: New. Bookseller Inventory # P110123739047
Book Description Academic Press, 2008. Hardcover. Book Condition: New. book. Bookseller Inventory # 0123739047
Book Description Academic Press, 2008. Book Condition: New. Brand New, Unread Copy in Perfect Condition. A+ Customer Service! Summary: ENHANCEMENT Introduction 1. Fundamental Enhancement Techniques 2. Adaptive Image Filtering 3. Enhancement by Multiscale Nonlinear Operators 4. Enhancement with Hybrid Filters 5. Model-based Enhancement and Artifact Reduction (NEW) SEGMENTATION Introduction 6. Overview and Fundamentals of Medical Image Segmentation 7. Segmentation by Fuzzy Clustering: Methods and Issues 8. Segmentation with Neural Networks 9. Deformable Models 10. Shape Constraints in Deformable Models 11. Gradient Vector Flow Deformable Models 12. Fully Automated Hybrid Segmentation 13. Volumetric segmentation 14. Partial Volume Segmentation with Voxel Histograms QUANTIFICATION Introduction 15. Two-dimensional Shape and Texture Quantification 16. Three-dimensional Texture Quantification 17. Computational Neuroanatomy Using Shape Transformations 18. Arterial Tree Morphometry 19. Computational Biomechanics Using Image-Based Models 20. Three-Dimensional Bone Angle Quantification 21. Database Selection and Feature Extraction 22. Quantitative Image Analysis for Estimation of Breast Cancer Risk 23. Classification of Breast Lesions from Mammograms 24. Quantitative Analysis of Cardiac Function 25. Three-Dimensional Cardiovascular Analysis (NEW) 26. Image Processing and Analysis in Tagged Cardiac MRI 27. Image Interpolation and Resampling REGISTRATION Introduction 28. Physical basis of spatial distortions in magnetic resonance images 29. Physical and biological bases of spatial distortions in positron emission tomography images 30. Biological underpinnings of anatomic consistency and variability in the human brain 31. Spatial transformation models 32. Validation of registration accuracy 33. Landmark-based registration using features identified through differential geometry 34. Registration of contours using chamfer matching 35. Within modality registration using intensity-based cost functions 36. Across modality registration using intensity-based cost functions 37. Talairach space as a tool for intersubject standardization in the brain 38. Warping strategies for intersubject registration 39. Optimizing the resampling of registered images 40. Clinical applications of image registration 41. Registration for image guided surgery 42. Image registration and the construction of multidimensional brain atlases VISUALIZATION Introduction 43. Overview of Visualization in Medicine and Biology 44. Three-Dimensional Visualization and Biomedical Applications 45. Volume Visualization in Medicine 46. Fast Isosurface Extraction Methods for Large Image Data Sets 47. Morphometric Methods for Virtual Endoscopy 48. Visualization of Time Series of Medical Images (NEW) COMPRESSION STORAGE AND COMMUNICATION Introduction 49. Fundamentals and Standards of Compression and Communication 50. Medical Image Archive and Retrieval 51. Image Standardization in PACS 52. Web-Based Image Storage and Communication (NEW) 53. Specialized Image Archive Systems (NEW) 54. Quality Evaluation for Compressed Medical Images: Fundamentals 55. Quality Evaluation for Compressed Medical Images: Diagnostic Accuracy 56. Quality Evaluation for Compressed Medical Images: Statistical Issues 57. Three-Dimensional Image Compression with Wavelet Transforms 58. Medical Image Processing Software. Bookseller Inventory # ABE_book_new_0123739047
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