计算机应用研究2016，Vol.33Issue(3)：957-960,4.DOI:10.3969/j.issn.1001-3695.2016.03.073
混合样条大尺度医学图像弹性配准算法研究
Research on elastic registration for large scale deformation medical image based on hybrid splines
摘要
Abstract
In order to improve large scale deformation medical image registration efficiency and accuracy,this paper proposed a new elastic registration method based on thin plate spline(TPS)and B-spline.Firstly,the method used scale invariant fea-ture transform(SIFT)algorithm to obtain the matched feature points.Secondly,it used TPS to reduce the scale of deforma-tion.Thirdly,it used local region process hierarchical B-spline to treat the deformation grid as the initial grid,and it adopted the limi-ted memory Broyden Fietcher Goldfarb Shanno(L-BFGS)algorithm to complete registration quickly and accurately. This process only refined the local region which had a large deformation.Experimental results demonstrate that the efficiency and accuracy of the proposed method are superior to those of hierarchical B-spline.关键词
医学图像/弹性配准/薄板样条/层次B样条/大尺度形变Key words
medical image/elastic registration/thin plate spline/hierarchical B-spline/large scale deformation分类
信息技术与安全科学引用本文复制引用
史悦,王阳萍,党建武..混合样条大尺度医学图像弹性配准算法研究[J].计算机应用研究,2016,33(3):957-960,4.基金项目
国家自然科学基金资助项目（60962004，61162016）；甘肃省科技计划资助项目 （）
