二阶锥规划在MR图像重建中的应用研究  

Second order cone programming and its application in MR image reconstruction

作　　者：李本星[1] 冯衍秋[2] 马建华[2] 陈武凡[2] 

机构地区：[1]曲阜师范大学计算机科学学院,山东曲阜273165 [2]南方医科大学生物医学工程学院医学信息研究所,广州510515

出　　处：《计算机工程与应用》2009年第29期156-159,共4页Computer Engineering and Applications

基　　金：国家重点基础研究发展规划(973)(No.2003CB716101);国家自然科学基金(No.30730036);广东省自然科学基金(No.06301304)~~

摘　　要：用传统MR图像重建方法对降采样数据进行重建往往会产生严重的伪影或导致重建图像的信噪比下降。用迭代重建算法对MR降采样数据进行优质重建,目标函数仅包含待重建图像的全变分,约束条件为一等式约束。在数值求解过程中,将优化问题转化为二阶锥规划问题,采用具有良好收敛性的对数障碍算法进行优化求解。在迭代过程中用图像的全变分信息自适应地决定对数障碍参数。实验结果表明,算法很好地克服了网格算法中的伪影问题,可以重建出高质量的MR图像。Reconstructing MR images from under-sampled measurement data using traditional reconstruction methods usually results in image artifacts and low signal to noise ratio.In this paper,an iterative MR image reconstruction algorithm is proposed.The objective function only includes the total variation of the image to be reconstructed.The optimization problem is converted to the second order cone programming and a log-barrier algorithm is used.In the optimization process,the barrier parameter is adaptively defined by the total variation of the reconstructed images in the process of iteration.The experimental results achieve high image quality with significantly fewer image artifacts as compared with the conventional gridding algorithm.

关 键 词：磁共振成像 二阶锥规划 对数障碍法 全变分 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]