A survey of hierarchical non-linear medical image registration

被引：343

作者：

Lester, H ^{[1
]}

Arridge, SR ^{[1
]}

机构：

[1] UCL, Dept Comp Sci, London WC1E 6BT, England

来源：

PATTERN RECOGNITION | 1999年 / 32卷 / 01期

关键词：

non-linear registration; anisotropic scale space; landmark-based splines; elastic warping; fluid deformation;

D O I：

10.1016/S0031-3203(98)00095-8

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper hierarchical non-linear image registration is classified into three main groups, where the registration at successive levels in the hierarchy increases in data complexity, warp complexity, or model complexity. Each method is briefly summarised and analysed in its application to medical images. (C) 1999 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.

引用

页码：129 / 149

页数：21

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