MRI Reconstruction From 2D Partial k-Space Using POCS Algorithm

被引：0
|
作者：
Chen, Jiaming [1 ]
Zhang, Lu [1 ]
Zhu, Yuemin [2 ,3 ]
Luo, Jianhua [1 ]
机构：
[1] Shanghai Jiao Tong Univ, Coll Life Sci & Technol, Shanghai 200240, Peoples R China
[2] CNRS, CREATIS, UMR 5515, F-69100 Villeurbanne, France
[3] INSERM Unit, F-69621 Paris, France
来源：
2009 3RD INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICAL ENGINEERING, VOLS 1-11 | 2009年
关键词：
POCS; 2D partial k-space; MRI reconstruction;
D O I：
暂无
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
In the field of magnetic resonance imaging (MRI), reconstruction from partial k-space data is a common strategy. Projection onto convex set (POCS) method has been applied to dealing with one-dimensional (1D) partial k-space. This paper applied POCS method to MR imaging from two-dimensional (2D) partial k-space data. This method is evaluated with experiments using simulate data. Compared with the zero filling imaging (ZFI) method, reconstruction results of POCS method are much better, especially by selecting partial k-space data of an optimal location. The results show that POCS method however failed to restore some missing data that has no symmetrical part in the original k-space data, leading to inevitable reconstruction errors.
引用
收藏
页码：2662 / +
页数：3
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