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Handbook of Medical Image Processing and Analysis

  • 2nd Edition - December 19, 2008
  • Latest edition
  • Editor: Isaac Bankman
  • Language: English

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 b… Read more

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Description

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

Readership

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

Table of contents

ENHANCEMENT

1. Fundamental Enhancement Techniques

2. Adaptive Image Filtering

3. Enhancement by Multiscale Nonlinear Operators

4. Medical Image Enhancement with Hybrid Filters

SEGMENTATION

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

QUANTIFICATION

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

REGISTRATION

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

VISUALIZATION

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

COMPRESSION STORAGE AND COMMUNICATION

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

  • Edition: 2
  • Latest edition
  • Published: December 19, 2008
  • Language: English

About the editor

IB

Isaac Bankman

Isaac Bankman is affiliated with Johns Hopkins University
Affiliations and expertise
Johns Hopkins University, Baltimore, MD, USA

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