Free-form registration using mutual information and curvature regularization

被引：0
|
作者：
D'Agostino, E
Modersitzki, J
Maes, F
Vandermeulen, D
Fischer, B
Suetens, P
机构：
[1] Katholieke Univ Leuven, Fac Med, PSI, ESAT,UZ Gasthuisberg, B-3000 Louvain, Belgium
[2] Katholieke Univ Leuven, Fac Engn, PSI, ESAT,UZ Gasthuisberg, B-3000 Louvain, Belgium
[3] Med Univ Lubeck, Inst Math, D-23560 Lubeck, Germany
来源：
BIOMEDICAL IMAGE REGISTRATION | 2003年 / 2717卷
关键词：
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this paper we present a novel 3-D free-form non-rigid registration algorithm which combines the mutual information similarity measure with a particular curvature based regularizer, which has been demonstrated to produce very satisfactory results in conjunction with the sum of squaxed differences distance measure. The method is evaluated for inter-subject MR brain image registration using simulated deformations and compared with a scheme that applies the same similarity measure but with a viscous fluid regularizer.
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页码：11 / 20
页数：10
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