Non-Rigid Image Registration Algorithm Based on B-Splines Approximation  

作　　者：张红颖 张加万 孙济洲 孙毅刚 

机构地区：[1]School of Computer Science and Technology, Tianjin University [2]College of Aeronautical Automation, Civil Aviation University of China

出　　处：《Transactions of Tianjin University》2007年第6期447-451,共5页天津大学学报（英文版）

基　　金：Supported by National Natural Science Foundation of China (No60373061);Joint Programof National Natural Science Foundation of China;General Administration of Civil Aviation of China (No60672168)

摘　　要：An intensity-based non-rigid registration algorithm is discussed, which uses Gaussian smoothing to constrain the transformation to be smooth, and thus preserves the topology of images. In view of the insufficiency of the uniform Gaussian filtering of the deformation field, an automatic and accurate non-rigid image registration method based on B-splines approximation is proposed. The regularization strategy is adopted by using multi-level B-splines approximation to regularize the displacement fields in a coarse-to-fine manner. Moreover, it assigns the different weights to the estimated displacements according to their reliabilities. In this way, the level of regularity can be adapted locally. Experiments were performed on both synthetic and real medical images of brain, and the results show that the proposed method improves the registration accuracy and robustness.An intensity-based non-rigid registration algorithm is discussed, which uses Gaussian smoothing to constrain the transformation to be smooth, and thus preserves the topology of images. In view of the insufficiency of the uniform Gaussian filtering of the deformation field, an automatic and accurate non-rigid image registration method based on B-splines approximation is proposed. The regularization strategy is adopted by using multi-level B-splines approximation to regularize the displacement fields in a coarse-to-fine manner. Moreover, it assigns the different weights to the estimated displacements according to their reliabilities. In this way, the level of regularity can be adapted locally. Experiments were performed on both synthetic and real medical images of brain, and the results show that the proposed method improves the registration accuracy and robustness.

关 键 词：non-rigid image registration B-splines approximation REGULARIZATION 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]