A comparison of optimization algorithms for localized in vivo B0 shimming

被引：16

作者：

Nassirpour, Sahar ^{[1
,2
]}

Chang, Paul ^{[1
,2
]}

Fillmer, Ariane ^{[5
]}

Henning, Anke ^{[1
,3
,4
]}

机构：

[1] Max Planck Inst Biol Cybernet, Spemannstr 41, D-72076 Tubingen, Germany

[2] Eberhard Karls Univ Tuebingen, IMPRS Cognit & Syst Neurosci, Tubingen, Germany

[3] UZH, Inst Biomed Engn, Zurich, Switzerland

[4] Swiss Fed Inst Technol, Zurich, Switzerland

[5] Phys Tech Bundesanstalt, Berlin, Germany

来源：

MAGNETIC RESONANCE IN MEDICINE | 2018年 / 79卷 / 02期

基金：

欧盟地平线“2020”;

关键词：

B-0; shimming; ultrahigh field strengths; constrained regularization; single-voxel; constrained optimization; HUMAN BRAIN; FIELD; REGION;

D O I：

10.1002/mrm.26758

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：

PurposeTo compare several different optimization algorithms currently used for localized in vivo B-0 shimming, and to introduce a novel, fast, and robust constrained regularized algorithm (ConsTru) for this purpose. MethodsTen different optimization algorithms (including samples from both generic and dedicated least-squares solvers, and a novel constrained regularized inversion method) were implemented and compared for shimming in five different shimming volumes on 66 in vivo data sets from both 7T and 9.4T. The best algorithm was chosen to perform single-voxel spectroscopy at 9.4T in the frontal cortex of the brain on 10 volunteers. ResultsThe results of the performance tests proved that the shimming algorithm is prone to unstable solutions if it depends on the value of a starting point, and is not regularized to handle ill-conditioned problems. The ConsTru algorithm proved to be the most robust, fast, and efficient algorithm among all of the chosen algorithms. It enabled acquisition of spectra of reproducible high quality in the frontal cortex at 9.4T. ConclusionsFor localized in vivo B-0 shimming, the use of a dedicated linear least-squares solver instead of a generic nonlinear one is highly recommended. Among all of the linear solvers, the constrained regularized method (ConsTru) was found to be both fast and most robust. Magn Reson Med 79:1145-1156, 2018. (c) 2017 International Society for Magnetic Resonance in Medicine.

引用

页码：1145 / 1156

页数：12

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