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	Geodesic-like features for point matching 期刊论文 OAI收割 NEUROCOMPUTING, 2016, 卷号: 218, 期号: 无, 页码: 401-410 作者: Qian, Deheng; Chen, Tianshi; Qiao, Hong 收藏 \| 浏览/下载：260/0 \| 提交时间：2016/12/07 Point matching Non-rigid deformation Geodesic distance
	Geodesic-like features for point matching 期刊论文 OAI收割 NEUROCOMPUTING, 2016, 卷号: 218, 页码: 401-410 作者: Qian, Deheng; Chen, Tianshi; Qiao, Hong \| 收藏 \| 浏览/下载：249/0 \| 提交时间：2019/12/13 Point matching Non-rigid deformation Geodesic distance
	A parallel algorithm for medical images registration based on B-splines (EI CONFERENCE) 会议论文 OAI收割 4th International Congress on Image and Signal Processing, CISP 2011, October 15, 2011 - October 17, 2011, Shanghai, China 作者: Zhang T. 收藏 \| 浏览/下载：26/0 \| 提交时间：2013/03/25 Cubic B-splines is widely applied in non-rigid registration because of its approximation performance and fast computational characteristics. However a small scale non-rigid deformation is needed to characterize by a large number of control points. Moreover an iterative optimization strategy of the non-rigid registration algorithm and the normalized mutual information (NMI) cost a great quantity calculation. So the process of the non-rigid registration is slowed by calculations of NMI in a iterative optimization strategy. In this paper a parallel optimization algorithm based on cubic B-splines functions is proposed to parallelize the optimization algorithm of the nonrigid registration and the calculations of normalize mutual information. In practice a fast algorithm of cubic B-splines is used and the control points are only distributed on the targets. Experiments show that the use of the fast algorithm and the parallel optimization strategy improves the non-rigid registration process of medical images. 2011 IEEE.