Numerical Methods for Image Registration

Jan Modersitzki - Collection Numerical Mathematics and Scientific Computation

200 pages, parution le 06/02/2004

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Résumé

This well-illustrated and comprehensive text provides an introduction to the theoretical, practical, and numerical aspects of image registration, with special emphasis on medical imaging. Various techniques are described, discussed and compared using numerous illustrations. It discusses the basic mathematical principles, including aspects from approximation theory, image processing, numerics, partial differential equations, and statistics, with a strong focus on numerical methods.

Extremely timely reference text on image processing, focusing on numerical methods
Highly relevant to researchers in academia and the imaging industry, as well as graduate mathematicians, computer scientists, engineers, medical physicists, and radiologists.
Numerous examples of medical image enhancement, including complete and detailed descriptions of implementation issues

Readership: Aimed at researchers in industry and academia seeking a systematic introduction to image registration, with particular emphasis on numerical methods and medical imaging; as well graduate mathematicians, computer scientists, engineers, medical physicists, and radiologists.

L'auteur - Jan Modersitzki

Jan Modersitzki, Institute of Mathematics, University of Lubeck

Sommaire

Introduction
The Human Neuroscanning Project
The mathematical setting
I Parametric Image Registration
- Landmark based registration
- Principal axes based registration
- Optimal linear registration
- Summarizing parametric image registration
II Non-parametric Image Registration
- Non-parametric image registration
- Elastic registration
- Fluid registration
- Diffusion registration
- Curvature registration
- Concluding remarks

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Oxford University Press
Auteur(s)	Jan Modersitzki
Collection	Numerical Mathematics and Scientific Computation
Parution	06/02/2004
Nb. de pages	200
Format	16 x 24
Couverture	Relié
Poids	510g
Intérieur	Noir et Blanc
EAN13	9780198528418
ISBN13	978-0-19-852841-8