Non-rigid image registration using adaptive grid generation: Preliminary results

被引:4
作者
Chen, Hua-mei [1 ]
Hsieh, Chih-Yao [1 ]
Liao, Guojun [2 ]
机构
[1] Univ Texas Arlington, Dept Comp Sci & Engn, Arlington, TX 76019 USA
[2] Univ Texas Arlington, Dept Math, Arlington, TX 76019 USA
来源
2007 4TH IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING : MACRO TO NANO, VOLS 1-3 | 2007年
关键词
non-rigid image registration; adaptive grid generation; aperture problem;
D O I
10.1109/ISBI.2007.356918
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, we present a new fully automated parametric non-rigid image registration method. The parameters in this new method are related to the divergence and the curl of an intermediate vector field from which the deformation field is computed. Regularization is achieved by imposing a constraint on the monitor function which is directly related to the divergence of the intermediate vector field. As a result, no regularization term is involved in our formulation. Our preliminary experimental results in 2D indicate that this new method has the potential to resolve the well known "aperture problem" suffered by many intensity based non-rigid image registration methods.
引用
收藏
页码:580 / +
页数:2
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