MRI图像重建网格化算法的研究进展  

Overview of gridding method in MRI reconstruction

作　　者：钱勇先[1] 高智勇[1] 林家瑞[1] 

机构地区：[1]华中科技大学生物医学工程研究所,湖北武汉430074

出　　处：《国外医学（生物医学工程分册）》2001年第4期145-148,共4页Foreign Medical Sciences(Biomedical Engineering Fascicle)

基　　金：国家自然科学基金项目 (30 0 70 2 2 6 )

摘　　要：磁共振成像常常是在空间频率域不同间隔地采集数据的。为了利用快速傅里叶变换进行图像重建 ,采集到的 MRI数据必须用网格化算法转换到等间隔的直线网格上。目前有 6种不同的网格化算法 ,其中 Jackson的 Gridding法和Rosenfeld的矩阵反演法已成为该领域的主流方法 ,但两者都不太完善。Magnetic resonance imaging data are often coll ec ted along non-rectilinear k-space trajectories.In order to take the advantage of fast Foruier transform in image reconstruction,the collected data must be res ampled onto a rectilinear grid using gridding method.Up to six different griddin g strategies are described and criticized.The ones proposed by Jackson et al and by Rosenfeld are widely accepted as first choices in regridding.The both have n ot,however,been as perfect as expected yet.New strategies for gridding are high ly disired.

关 键 词：网格化算法 图像重建 磁共振成像 研究进展 

分 类 号：R311[医药卫生—基础医学]