Non-rigid image registration using mutual information

被引：0
|
作者：
Maes, Frederik [1 ]
D'Agostino, Emiliano [1 ]
Loeckx, Dirk [1 ]
Wouters, Jeroen [1 ]
Vandermeulen, Dirk [1 ]
Suetens, Paul [1 ]
机构：
[1] Katholieke Univ Leuven, ESAT, PSI, Med Image Comp, Herestr 49, B-3000 Louvain, Belgium
来源：
COMPSTAT 2006: PROCEEDINGS IN COMPUTATIONAL STATISTICS | 2006年
关键词：
non-rigid image registration; mutual information;
D O I：
10.1007/978-3-7908-1709-6_8
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Robust intensity-based non-rigid image registration and its application for image-based morphometry and the characterization of shape variation and variability is an important research topic in medical image analysis. Recent research in the field has focused on extending the mutual information based registration criterion to non-rigid matching, which is complicated by the statistical nature of the criterion and by the local impact of the non-rigid deformation parameters. In this paper we describe the state of the art in the field and ongoing work within our own research group.
引用
收藏
页码：91 / +
页数：5
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