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

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

by Terry S. Yoo
     
 

ISBN-10: 1568812175

ISBN-13: 9781568812175

Pub. Date: 08/15/2004

Publisher: Taylor & Francis

A companion to the Insight Toolkit 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

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Overview

A companion to the Insight Toolkit 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 the Insight Toolkit (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 With contributions from: Elsa Angelini, Brian Avants, Stephen Aylward, Ting Chen, Jeffrey Duda, Jim Gee, Luis Ibanez, Celina Imielinska, Yinpeng Jin, Jisung Kim, Bill Lorensen, Dimitris Metaxas, Lydia Ng, Punam Saha, George Stetten, Tessa Sundaram, Jay Udupa, Ross Whitaker, Terry Yoo, and Ying Zhuge. The Insight Toolkit is part of the Visible Human Project from the National Library of Medicine, with support from NIDCR, NINDS, NIMH, NEI, NSF, TATRC, NCI, and NIDCD.

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Product Details

ISBN-13:
9781568812175
Publisher:
Taylor & Francis
Publication date:
08/15/2004
Edition description:
New Edition
Pages:
410
Product dimensions:
6.00(w) x 8.90(h) x 0.60(d)

Table of Contents

IIntroduction and basics1
1Introduction3
2Basic image processing and linear operators19
3Statistics of pattern recognition47
4Nonlinear image filtering with partial differential equations103
IISegmentation119
5Segmentation basics121
6Fuzzy connectedness131
7Markov random field models181
8Isosurfaces and level sets193
9Deformable models219
IIIRegistration237
10Medical image registration : concepts and implementation239
11Non-rigid image registration307
IVHybrid methods - mixed approaches to segmentation349
12Hybrid segmentation methods351

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