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Constrained image‐based B 0 shimming accounting for “local minimum traps” in the optimization and field inhomogeneities outside the region of interest
Author(s) -
Fillmer Ariane,
Kirchner Thomas,
Cameron Donnie,
Henning Anke
Publication year - 2015
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.25248
Subject(s) - shim (computing) , region of interest , computer science , image quality , algorithm , homogeneity (statistics) , magnetic resonance imaging , magnetic field , nuclear magnetic resonance , materials science , physics , artificial intelligence , image (mathematics) , medicine , quantum mechanics , machine learning , erectile dysfunction , radiology
Purpose To improve B 0 shimming for applications in high‐ and ultrahigh‐field magnetic resonance imaging and magnetic resonance spectroscopy. Methods An existing image‐based constrained B 0 shimming algorithm was enhanced using two techniques: (1) A region of less interest was introduced to control B 0 field inhomogeneities in the vicinity of the region of interest; (2) multiple sets of starting values were used for the fitting routine, to avoid “getting trapped” in a local minimum of the optimization function. The influence of constraints during the fitting procedure, due to hardware limitations, on the B 0 shim result was investigated. The performance of this algorithm was compared to other B 0 shim algorithms for typical shim problems in head and body applications at 3T and 7T. Results Utilization of a weighted region of less interest lead to a significant gain in B 0 homogeneity adjacent to the region of interest. The loss of B 0 quality due to the enlarged total shim volume within the region of interest remained minimal, allowing for improved artifact reduction in magnetic resonance spectroscopic imaging. Multiple sets of starting values and consideration of shim field constraints led to an additional gain in B 0 shim quality. Conclusion The proposed algorithm allows for more flexible control of B 0 inhomogeneities and, hence, enables gains in image and spectral quality for MR applications. Magn Reson Med 73:1370–1380, 2015. © 2014 Wiley Periodicals, Inc.