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

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.

关键词： POCS 2D partial k-space MRI reconstruction

作者: Jiaming Chen Lu Zhang Yuemin Zhu Jianhua Luo

作者单位: College of Life Science & Technology,Shanghai Jiao Tong University,200240,Shanghai,P.R.China CREATIS,CNRS UMR 5515 & INSERM unit 630,69621 Villeurbanne cedex,France

会议类型: 国际会议

会议名称: The 3rd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2009)(第三届生物信息与生物医学工程国际会议)

会议地点: 北京

会议语种:英文

页码: 1-4

在线出版日期: 2009-06-11（万方平台首次上网日期，不代表论文的发表时间）