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  A Comparison of Optimization Algorithms for Localized in-vivo B0 Shimming

Nassirpour, S., Chang, Y., Fillmer, A., & Henning, A. (2016). A Comparison of Optimization Algorithms for Localized in-vivo B0 Shimming. In 24th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM 2016).

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Item Permalink: http://hdl.handle.net/21.11116/0000-0000-7CC4-8 Version Permalink: http://hdl.handle.net/21.11116/0000-0000-E975-6
Genre: Meeting Abstract

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Nassirpour, S1, 2, Author              
Chang, YC1, 2, 3, Author              
Fillmer, A, Author
Henning, A1, 2, 3, Author              
Affiliations:
1Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              
2Research Group MR Spectroscopy and Ultra-High Field Methodology, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_2528692              
3Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497796              

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 Abstract: This work presents a study on the performance of several least-squares optimization algorithms used for localized in-vivo B0 shimming. Seven different algorithms were tested in 4 different shim volumes in the brain: global shimming region, single slice, and single voxels in two different positions with 3rd order shimming at 7T. Each algorithm's robustness and convergence were tested against noisy inputs and different starting values. The results give an interesting overview of the properties of each algorithm and their applicability. The regularized iterative inversion algorithm proves to be the best algorithmic approach suited to this problem.

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 Dates: 2016-05-13
 Publication Status: Published in print
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 Identifiers: BibTex Citekey: NassirpourCFH2016
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Title: 24th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM 2016)
Place of Event: Singapore
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Title: 24th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM 2016)
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: 1142 Start / End Page: - Identifier: -