Sensitivity Encoding Reconstruction for MRI with Gridding Algorithm  

作　　者：Lianjun Zhang Gang Liu Lianjun Zhang;Gang Liu(Computer College Science and Technology, Shandong University of Technology, Zibo, China)

机构地区：[1]Computer College Science and Technology, Shandong University of Technology, Zibo, China

出　　处：《Journal of Computer and Communications》2021年第2期22-28,共7页电脑和通信（英文）

摘　　要：The Sensitivity Encoding (SENSE) parallel reconstruction scheme for magnetic resonance imaging (MRI) is studied and implemented with gridding algorithm in this paper. In this paper, the sensitivity map profile, field map information and the spiral k-space data collected from an array of receiver coils are used to reconstruct un-aliased images from under-sampled data. The gridding algorithm is implemented with SENSE due to its ability in evaluating forward and adjoins operators with non-Cartesian sampled data. This paper also analyzes the performance of SENSE with real data set and identifies the computational issues that need to be improved for further research.The Sensitivity Encoding (SENSE) parallel reconstruction scheme for magnetic resonance imaging (MRI) is studied and implemented with gridding algorithm in this paper. In this paper, the sensitivity map profile, field map information and the spiral k-space data collected from an array of receiver coils are used to reconstruct un-aliased images from under-sampled data. The gridding algorithm is implemented with SENSE due to its ability in evaluating forward and adjoins operators with non-Cartesian sampled data. This paper also analyzes the performance of SENSE with real data set and identifies the computational issues that need to be improved for further research.

关 键 词：Parallel Imaging SENSE Gridding Algorithm 

分 类 号：O17[理学—数学]