Hybrid deformable image registration using a closed-form Free Form Deformation approach

被引：1
|
作者：
Huang, Xiaolei [1 ]
Li, Hongsheng [1 ]
Zhu, Yaoyao [1 ]
机构：
[1] Lehigh Univ, Dept Comp Sci & Engn, 19 Mem Dr West, Bethlehem, PA 18015 USA
来源：
INTERNATIONAL JOURNAL OF BIOMEDICAL ENGINEERING AND TECHNOLOGY | 2012年 / 8卷 / 2-3期
关键词：
non-rigid/deformable image registration; FFDs; free form deformations; salient region; PSO; particle swarm optimisation;
D O I：
10.1504/IJBET.2012.046089
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
This paper describes an efficient non-rigid image registration method using a B-spline based Free Form Deformation (FFD) model. The proposed method is very efficient, in that it utilises sparse feature correspondences to estimate an elastic deformation field in a closed form. In a multi-resolution manner, the method is able to recover small to large nonrigid deformations, and the resulting deformation field is globally smooth and guarantees one-to-one mapping between the two registered images.
引用
收藏
页码：245 / 258
页数：14
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