Nonrigid point registration for 2D curves and 3D surfaces and its various applications

被引:12
|
作者
Wang, Hesheng [1 ]
Fei, Baowei [1 ,2 ,3 ,4 ,5 ]
机构
[1] Emory Univ, Dept Radiol & Imaging Sci, Atlanta, GA 30329 USA
[2] Emory Univ, Winship Canc Inst, Atlanta, GA 30322 USA
[3] Emory Univ, Dept Biomed Engn, Atlanta, GA 30322 USA
[4] Georgia Inst Technol, Atlanta, GA 30322 USA
[5] Emory Univ, Dept Math & Comp Sci, Atlanta, GA 30322 USA
来源
PHYSICS IN MEDICINE AND BIOLOGY | 2013年 / 58卷 / 12期
关键词
PHOTODYNAMIC THERAPY; MATCHING ALGORITHM; IMAGE REGISTRATION; INTERVENTIONAL MRI; THERMAL ABLATION; PROSTATE; CANCER; FUSION; ATLAS;
D O I
10.1088/0031-9155/58/12/4315
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
A nonrigid B-spline-based point-matching (BPM) method is proposed to match dense surface points. The method solves both the point correspondence and nonrigid transformation without features extraction. The registration method integrates a motion model, which combines a global transformation and a B-spline-based local deformation, into a robust point-matching framework. The point correspondence and deformable transformation are estimated simultaneously by fuzzy correspondence and by a deterministic annealing technique. Prior information about global translation, rotation and scaling is incorporated into the optimization. A local B-spline motion model decreases the degrees of freedom for optimization and thus enables the registration of a larger number of feature points. The performance of the BPM method has been demonstrated and validated using synthesized 2D and 3D data, mouse MRI and micro-CT images. The proposed BPM method can be used to register feature point sets, 2D curves, 3D surfaces and various image data.
引用
收藏
页码:4315 / 4330
页数:16
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