磁共振弥散加权成像涡流失真系统性矫正算法研究  

Systematic Correction Algorithm for Eddy Current Distortion in Diffusion Weighted Imaging of Magnetic Resonance

作　　者：戴飞[1] 袁贞明[1] 徐冬溶[2,3] 

机构地区：[1]杭州师范大学信息科学与工程学院,浙江杭州310036 [2]美国哥伦比亚大学精神病学系,美国纽约10032 [3]纽约州立精神疾病研究所,美国纽约10032

出　　处：《杭州师范大学学报（自然科学版）》2012年第6期556-560,共5页Journal of Hangzhou Normal University(Natural Science Edition)

基　　金：浙江省自然科学基金项目(Z12F020027);浙江省教育厅科研项目(201065XP145);杭州师范大学优秀中青年教师支持计划项目(2011)

摘　　要：针对基于EPI扫描序列的弥散加权成像技术中存在的涡流失真现象,给出一种基于图像配准的系统性失真矫正方法.矫正过程以非弥散加权图像为参考图像,利用二值蒙版分割图像消除高b值图像脑脊液区域对比度差异影响,在迭代互相关ICC算法基础上结合相邻层的变形参数进行平滑得到系统性配准参数.比较实验表明,结合相邻层信息能减少两两配准带来的矫正误差,得到更好的矫正效果.The paper provided a kind of systematic distortion correction algorithm based on image registration for the eddy current distortion in diffusion weighted imaging technology on the basis of EPI sequence. The correction process took non-diffusion weighted images as reference images, eliminated the influence of contrast differences in the cerebral spinal fluid area with high b value by using binary mask to segment images, and obtained systematic registration parameters by smoothing the deformation parameters of adjacent layers based on the iterative cross correlation ICC algorithm. The experiment shows that the information combination of adjacent layers can reduce the correction errors which are brought by pairwise registration, and obtain better correction effects.

关 键 词：涡流失真 图像配准 迭代互相关 弥散加权成像 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]