Handbook of Medical Image Processing and Analysis (2nd Edition)

This 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 parts that relate to the main functions: Enhancement, Segmentation, Quantification, Registration, Visualization, and Compression, Storage and Communication. This 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. The handbook has been 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.