×

Uh-oh, it looks like your Internet Explorer is out of date.

For a better shopping experience, please upgrade now.

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

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.

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

Forewordxi
IIntroduction and Basics1
1Introduction3
1.1Medical Image Processing4
1.2A Brief Retrospective on 3D Medical Imaging5
1.3Medical Imaging Technology6
1.4Acquisition, Analysis, and Visualization16
1.5Summary17
2Basic Image Processing and Linear Operators19
2.1Introduction19
2.2Images20
2.3Point Operators21
2.4Linear Filtering25
2.5The Fourier Transform37
2.6Summary45
3Statistics of Pattern Recognition47
3.1Introduction47
3.2Background49
3.3Quantitative Comparison of Classifiers56
3.4Classification Systems59
3.5Summary of Classifiers' Performance84
3.6Goodness-of-Fit87
3.7Conclusion92
3.8Appendix: Extruded Gaussian Distributions93
4Nonlinear Image Filtering with Partial Differential Equations103
4.1Introduction103
4.2Gaussian Blurring and the Heat Equation103
4.3Numerical Implementations110
IISegmentation119
5Segmentation Basics121
5.1Introduction121
5.2Statistical Pattern Recognition123
5.3Region Growing124
5.4Active Surfaces/Front Evolution126
5.5Combining Segmentation Techniques127
5.6Looking Ahead128
6Fuzzy Connectedness131
6.1Background131
6.2Outline of the Chapter133
6.3Basic Notations and Definitions136
6.4Theory138
6.5Methods and Algorithms151
6.6Applications161
6.7Concluding Remarks171
7Markov Random Field Models181
7.1Markov Random Field Models: Introduction and Previous Work181
7.2Gibbs Prior Model Theories182
7.3Bayesian Framework and Posterior Energy Function185
7.4Energy Minimization186
7.5Experiments and Results186
8Isosurfaces and Level Sets193
8.1Introduction193
8.2Deformable Surfaces195
8.3Numerical Methods199
8.4Applications208
8.5Summary214
9Deformable Models219
9.1Introduction219
9.2Previous Work220
9.3Deformable Model Theories222
9.4Experiments, Results, and Applications in ITK230
IIIRegistration237
10Medical Image Registration: Concepts and Implementation239
10.1Introduction239
10.2Image Registration Concepts240
10.3A Generic Software Framework for Image to Image Registration242
10.4Examples295
11Non-Rigid Image Registration307
11.1Introduction307
11.2Optical Flow: Fast Mono-Modality Non-Rigid Registration312
11.3Variational Framework for Computational Anatomy321
11.4Review338
IVHybrid Methods - Mixed Approaches to Segmentation349
12Hybrid Segmentation Methods351
12.1Introduction351
12.2Review of Segmentation Methods353
12.3Hybrid Segmentation Engine357
12.4Hybrid Segmentation: Integration of FC, VD, and DM358
12.5Evaluation of Segmentation365
12.6Results367
12.7Conclusions375
Index389

Customer Reviews

Average Review:

Post to your social network

     

Most Helpful Customer Reviews

See all customer reviews