A singular K-space model for fast reconstruction of magnetic resonance images from undersampled data.

Reconstructing magnetic resonance images from undersampled k-space data is a challenging problem. This paper introduces a novel method of image reconstruction from undersampled k-space data based on the concept of singularizing operators and a novel singular k-space model. Exploring the sparsity of...

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Bibliographic Details

Published in:	Medical & Biological Engineering & Computing Vol. 56; no. 7; pp. 1211 - 1226
Main Authors:	Luo, Jianhua, Mou, Zhiying, Qin, Binjie, Li, Wanqing, Ogunbona, Philip, Robini, Marc C., Zhu, Yuemin
Format:	Journal Article
Published:	Springer Nature Jul2018
Online Access:	View this record in EBSCOhost