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.

引用

页码：11 / 20

页数：10

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