Cargando…
Passive Shimming of MRI Static Magnetic Field Using Regularization of Truncated Singular Value Decomposition
PURPOSE: To develop a new shimming calculation method, which can calculate iron piece placements rapidly to make the magnetic field homogeneous at intended homogeneity and then to make the shimming working time short. MATERIALS AND METHODS: The shimming calculation yields magnetic moment (MM) distri...
Autor principal: | |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Japanese Society for Magnetic Resonance in Medicine
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5743519/ https://www.ncbi.nlm.nih.gov/pubmed/28250355 http://dx.doi.org/10.2463/mrms.mp.2016-0046 |
_version_ | 1783288582728843264 |
---|---|
author | Abe, Mitsushi |
author_facet | Abe, Mitsushi |
author_sort | Abe, Mitsushi |
collection | PubMed |
description | PURPOSE: To develop a new shimming calculation method, which can calculate iron piece placements rapidly to make the magnetic field homogeneous at intended homogeneity and then to make the shimming working time short. MATERIALS AND METHODS: The shimming calculation yields magnetic moment (MM) distribution, which is calculated by the truncated singular value decomposition (SVD) from the measured magnetic field. The MM distribution is described by a superposition of eigenmodes obtained by SVD of a response matrix from the moment distributions to magnetic fields at the field of view (FOV). The homogeneity is regulated by a truncation number of the superposed eigenmodes. The magnetic moments are converted into iron volumes with the assumption of saturated magnetization and the iron pieces are placed according to the calculation results. Since the SVD calculation can be done in advance, the computational time at the shimming site is short. RESULTS: Trial applications on a 0.5T magnetic resonance imaging (MRI) magnet were done using the new shimming calculation method, which was proved to work well. However, since the iron piece volumes had tolerances, the work was repeated until enough homogeneity was obtained. As a result, an intended homogeneity of 8.9 ppm (peak-to-peak) on 40 cm diameter spherical surface was successfully obtained from measured homogeneity of 543 ppm with short computational and working time. CONCLUSION: The test shimming work showed that the developed shimming calculation method with truncated SVD regularization is applicable to the shimming work on the MRI magnets. |
format | Online Article Text |
id | pubmed-5743519 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Japanese Society for Magnetic Resonance in Medicine |
record_format | MEDLINE/PubMed |
spelling | pubmed-57435192018-01-04 Passive Shimming of MRI Static Magnetic Field Using Regularization of Truncated Singular Value Decomposition Abe, Mitsushi Magn Reson Med Sci Major Paper PURPOSE: To develop a new shimming calculation method, which can calculate iron piece placements rapidly to make the magnetic field homogeneous at intended homogeneity and then to make the shimming working time short. MATERIALS AND METHODS: The shimming calculation yields magnetic moment (MM) distribution, which is calculated by the truncated singular value decomposition (SVD) from the measured magnetic field. The MM distribution is described by a superposition of eigenmodes obtained by SVD of a response matrix from the moment distributions to magnetic fields at the field of view (FOV). The homogeneity is regulated by a truncation number of the superposed eigenmodes. The magnetic moments are converted into iron volumes with the assumption of saturated magnetization and the iron pieces are placed according to the calculation results. Since the SVD calculation can be done in advance, the computational time at the shimming site is short. RESULTS: Trial applications on a 0.5T magnetic resonance imaging (MRI) magnet were done using the new shimming calculation method, which was proved to work well. However, since the iron piece volumes had tolerances, the work was repeated until enough homogeneity was obtained. As a result, an intended homogeneity of 8.9 ppm (peak-to-peak) on 40 cm diameter spherical surface was successfully obtained from measured homogeneity of 543 ppm with short computational and working time. CONCLUSION: The test shimming work showed that the developed shimming calculation method with truncated SVD regularization is applicable to the shimming work on the MRI magnets. Japanese Society for Magnetic Resonance in Medicine 2017-03-02 /pmc/articles/PMC5743519/ /pubmed/28250355 http://dx.doi.org/10.2463/mrms.mp.2016-0046 Text en © 2017 Japanese Society for Magnetic Resonance in Medicine http://creativecommons.org/licenses/by/3.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives International License. |
spellingShingle | Major Paper Abe, Mitsushi Passive Shimming of MRI Static Magnetic Field Using Regularization of Truncated Singular Value Decomposition |
title | Passive Shimming of MRI Static Magnetic Field Using Regularization of Truncated Singular Value Decomposition |
title_full | Passive Shimming of MRI Static Magnetic Field Using Regularization of Truncated Singular Value Decomposition |
title_fullStr | Passive Shimming of MRI Static Magnetic Field Using Regularization of Truncated Singular Value Decomposition |
title_full_unstemmed | Passive Shimming of MRI Static Magnetic Field Using Regularization of Truncated Singular Value Decomposition |
title_short | Passive Shimming of MRI Static Magnetic Field Using Regularization of Truncated Singular Value Decomposition |
title_sort | passive shimming of mri static magnetic field using regularization of truncated singular value decomposition |
topic | Major Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5743519/ https://www.ncbi.nlm.nih.gov/pubmed/28250355 http://dx.doi.org/10.2463/mrms.mp.2016-0046 |
work_keys_str_mv | AT abemitsushi passiveshimmingofmristaticmagneticfieldusingregularizationoftruncatedsingularvaluedecomposition |