Registration of Diffusion Tensor Images Based on Hybrid Optimization Method

摘要：

Registration of diffusion tensor images has attracted more and more attention in recent years. In this paper a novel affine registration algorithm for diffusion tensor (DT) MR images that enables explicit analytic optimization of tensor reorientation is presented. The objective function captures both the image similarity and tensor reorientation, which is necessary for warping DT images. The final optimization method seeks a hybrid optimization method. Results show that this method is a stable one, which not only avoids local extrema successfully, but also ensures that the DT orientations remain consistent with the anatomy after image transformations and also improves the average of overlap of eigenvalue-eigenvector.

关键词： Diffusion Tensor Registration Reorientation Hybrid Optimization Method

作者: Wen LI Min-min LUO Gui-ping JIANG

作者单位: Department of Biomedical Engineering,Southern Medical University Guangzhou 510515,China

会议类型: 国际会议

会议名称: The 3rd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2009)(第三届生物信息与生物医学工程国际会议)

会议地点: 北京

会议语种:英文

页码: 1-4

在线出版日期: 2009-06-11（万方平台首次上网日期，不代表论文的发表时间）