Insight Into Images: Principles and Practice for Segmentation, Registration, and Image Analysis.

Yoo TS, editor

Natick, Massachusetts: A.K. Peters; 2004 Aug 16. 410 pages.

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Abstract:

This book is a companion to the Insight Toolkit (ITK). It is an introduction to the theory of modern medical image processing, including the analysis of data from X-ray computer tomography, magnetic resonance imaging, nuclear medicine, and ultrasound. Using an algorithmic approach, and providing the mathematical, statistical, or signal processing as needed for background, the authors describe the principles of all methods implemented in ITK, a freely available, open- source, object-oriented library. The emphasis is on providing intuitive descriptions of the principles and illustrative examples of results from the leading filtering, segmentation, and registration methods. This book covers the mathematical foundations of important techniques such as: Statistical pattern recognition PDE-based nonlinear image filtering Markov random fields Level set methods Deformable models Mutual information, image-based registration Non-rigid image data fusion

Yoo TS, editor. Insight Into Images: Principles and Practice for Segmentation, Registration, and Image Analysis. 
Natick, Massachusetts: A.K. Peters; 2004 Aug 16. 410 pages.