A nonlinear regularization strategy for GRAPPA calibration

被引：9

作者：

Bydder, Mark ^{[1
]}

Jung, Youngkyoo ^{[1
]}

机构：

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

来源：

MAGNETIC RESONANCE IMAGING | 2009年 / 27卷 / 01期

关键词：

GRAPPA; Parallel imaging; Reconstruction; MRI;

D O I：

10.1016/j.mri.2008.05.005

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：

A regularization strategy is described for generalized autocalibrating partially parallel acquisition (GRAPPA) that allows successful calibration using a small number of autocalibration signals (ACS). The approach requires certain nonlinear relationships between the GRAPPA coefficients to be satisfied, which increases the redundancy so that fewer ACS need to be acquired. (C) 2009 Elsevier Inc. All rights reserved.

引用

页码：137 / 141

页数：5

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