Entropic Framework for Nonrigid Registration of Diffusion Tensor Images

被引：0
|
作者：
Khader, Mohamed [1 ]
Ben Hamza, A. [1 ]
机构：
[1] Concordia Univ, Concordia Inst Informat Syst Engn, Montreal, PQ, Canada
来源：
2013 39TH ANNUAL NORTHEAST BIOENGINEERING CONFERENCE (NEBEC 2013) | 2013年
关键词：
Diffusion tensor imaging; image registration;
D O I：
10.1109/NEBEC.2013.92
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
We propose a nonrigid registration approach for diffusion tensor images using a multicomponent information-theoretic measure. Explicit orientation optimization is enabled by incorporating tensor reorientation. Experimental results on medical images indicate the feasibility of the proposed approach not only in terms of registration accuracy in the presence of geometric distortion but also in terms of robustness to noise.
引用
收藏
页码：68 / 69
页数：2
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