Handbook of Medical Image Processing and Analysis

Handbook of Medical Image Processing and Analysis

2nd Edition - December 19, 2008

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  • Editor: Isaac Bankman
  • Hardcover ISBN: 9780123739049
  • eBook ISBN: 9780080559148

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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.

Key Features

  • 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 incluling 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.
  • Provides a complete collection of algorithms in computer processing of medical images
  • Contains over 60 pages of stunning, four-color images


Biomedical engineers, doctors, biological reseachers, medical informatics professionals, radiologists, image processors

Table of Contents

    1. Fundamental Enhancement Techniques
    2. Adaptive Image Filtering
    3. Enhancement by Multiscale Nonlinear Operators
    4. Medical Image Enhancement with Hybrid Filters

    5. Overview and Fundamentals of Medical Image Segmentation
    6. Image Segmentation by Fuzzy Clustering: Methods and Issues
    7. Segmentation with Neural Networks
    8. Deformable Models
    9. Shape Information in Deformable Models
    10. Gradient Vector Flow Deformable Models
    11. Fully Automated Hybrid Segmentation of the Brain
    12. Unsupervised Tissue Classification
    13. Partial Volume Segmentation with Voxel Histograms
    14. Higher Order Statistics for Tissue Segmentation

    15. Two-dimensional Shape and Texture Quantification
    16. Texture Analysis in Three Dimensions for Tissue Characterization
    17. Computational Neuroanatomy Using Shape Transformations
    18. Tumor Growth Modeling in Oncological Image Analysis
    19. Arterial Tree Morphometry
    20. Image-Based Computational Biomechanics of the Musculoskeletal System
    21. Three-Dimensional Bone Angle Quantification
    22. Database Selection and Feature Extraction for Neural Networks
    23. Quantitative Image Analysis for Estimation of Breast Cancer Risk
    24. Classification of Breast Lesions in Mammograms
    25. Quantitative Analysis of Cardiac Function
    26. Image Processing and Analysis in Tagged Cardiac MRI
    27. Analysis of Cell Nuclear Features in Fluorescence Microscopy Images
    28. Image Interpolation and Resampling

    29. Physical Basis of Spatial Distortions in Magnetic Resonance Images
    30. Physical and Biological Bases of Spatial Distortions in PET Images
    31. Biological Underpinnings of Anatomic Consistency and Variability in the Human Brain
    32. Spatial Transformation Models
    33. Validation of Registration Accuracy
    34. Landmark-based Registration Using Features Identified through Differential Geometry
    35. Image Registration Using Chamfer Matching
    36. Within-Modality Registration Using Intensity-Based Cost Functions
    37. Across-Modality Registration Using Intensity-Based Cost Functions
    38. Talairach Space as a Tool for Intersubject Standardization in the Brain
    39. Warping Strategies for Intersubject Registration
    40. Optimizing the Resampling of Registered Images
    41. Clinical Applications of Image Registration
    42. Registration for Image-Guided Surgery
    43. Image Registration and the Construction of Multidimensional Brain Atlases

    44. Visualization Pathways in Biomedicine
    45. Three-Dimensional Visualization in Medicine and Biology
    46. Volume Visualization in Medicine
    47. Fast Isosurface Extraction Methods for Large Image Data Sets
    48. Computer Processing Methods for Virtual Endoscopy

    49. Fundamentals and Standards of Compression and Communication
    50. Medical Image Archive and Retrieval
    51. Image Standardization in PACS
    52. Imaging and Communication in Medical and Public Health Informatics
    53. Dynamic Mammogram Retrieval from Web-Based Image Libraries
    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

Product details

  • No. of pages: 1000
  • Language: English
  • Copyright: © Academic Press 2008
  • Published: December 19, 2008
  • Imprint: Academic Press
  • Hardcover ISBN: 9780123739049
  • eBook ISBN: 9780080559148

About the Editor

Isaac Bankman

Isaac Bankman is affiliated with Johns Hopkins University

Affiliations and Expertise

Johns Hopkins University, Baltimore, MD, USA

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