Optimization of sensitivity encoding with arbitrary k-space trajectories

被引：11

作者：

Bydder, Mark ^{[1
]}

Perthen, Joanna E.

Du, Jiang

机构：

[1] Univ Calif San Diego, Dept Radiol, MRI3 Res, San Diego, CA 92103 USA

[2] Univ Calif San Diego, Dept Radiol, Ctr FMRI, La Jolla, CA 92093 USA

来源：

MAGNETIC RESONANCE IMAGING | 2007年 / 25卷 / 08期

关键词：

parallel imaging; SENSE; regularization; preconditioning; phase constraint; IMAGE-RECONSTRUCTION; PHASED-ARRAY; ALGORITHM; MRI;

D O I：

10.1016/j.mri.2007.01.003

中图分类号：

R8 [特种医学]; R445 [影像诊断学];

学科分类号：

1002 ; 100207 ; 1009 ;

摘要：

Sensitivity encoding (SENSE) is a magnetic resonance technique that unifies gradient and receive coil encoding. SENSE reconstructs the image by solving a large, ill-conditioned inverse problem, which generally requires regularization and preconditioning. The present study suggests a simple heuristic for determining the regularization parameter. Also discussed are the use of density weighting and intensity correction as preconditioners and the role that coil sensitivity estimation has in regularization. A modification to the intensity correction is proposed for use with a phase constraint. (C) 2007 Elsevier Inc. All rights reserved.

引用

页码：1123 / 1129

页数：7

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