Insight into Images

Principles and practice for segmentation, registration, and image analysis

Terry S. Yoo

395 pages, parution le 30/08/2004

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Résumé

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.

Sommaire

Introduction and Basics
Segmentation
Registration
Hybrid Methods - Mixed Approaches to Segmentation

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Caractéristiques techniques

	PAPIER
Éditeur(s)	AK Peters
Auteur(s)	Terry S. Yoo
Parution	30/08/2004
Nb. de pages	395
Format	16 x 24
Couverture	Relié
Poids	670g
Intérieur	Noir et Blanc
EAN13	9781568812175
ISBN13	978-1-56881-217-5