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Correction of motion‐induced susceptibility artifacts and B(0) drift during proton resonance frequency shift‐based MR thermometry in the pelvis with background field removal methods
PURPOSE: The linear change of the water proton resonance frequency shift (PRFS) with temperature is used to monitor temperature change based on the temporal difference of image phase. Here, the effect of motion‐induced susceptibility artifacts on the phase difference was studied in the context of mi...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7402020/ https://www.ncbi.nlm.nih.gov/pubmed/32367530 http://dx.doi.org/10.1002/mrm.28302 |
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author | Wu, Mingming Mulder, Hendrik T. Baron, Paul Coello, Eduardo Menzel, Marion I. van Rhoon, Gerard C. Haase, Axel |
author_facet | Wu, Mingming Mulder, Hendrik T. Baron, Paul Coello, Eduardo Menzel, Marion I. van Rhoon, Gerard C. Haase, Axel |
author_sort | Wu, Mingming |
collection | PubMed |
description | PURPOSE: The linear change of the water proton resonance frequency shift (PRFS) with temperature is used to monitor temperature change based on the temporal difference of image phase. Here, the effect of motion‐induced susceptibility artifacts on the phase difference was studied in the context of mild radio frequency hyperthermia in the pelvis. METHODS: First, the respiratory‐induced field variations were disentangled from digestive gas motion in the pelvis. The projection onto dipole fields (PDF) as well as the Laplacian boundary value (LBV) algorithm were applied on the phase difference data to eliminate motion‐induced susceptibility artifacts. Both background field removal (BFR) algorithms were studied using simulations of susceptibility artifacts, a phantom heating experiment, and volunteer and patient heating data. RESULTS: Respiratory‐induced field variations were negligible in the presence of the filled water bolus. Even though LBV and PDF showed comparable results for most data, LBV seemed more robust in our data sets. Some data sets suggested that PDF tends to overestimate the background field, thus removing phase attributed to temperature. The BFR methods even corrected for susceptibility variations induced by a subvoxel displacement of the phantom. The method yielded successful artifact correction in 2 out of 4 patient treatment data sets during the entire treatment duration of mild RF heating of cervical cancer. The heating pattern corresponded well with temperature probe data. CONCLUSION: The application of background field removal methods in PRFS‐based MR thermometry has great potential in various heating applications and body regions to reduce motion‐induced susceptibility artifacts that originate outside the region of interest, while conserving temperature‐induced PRFS. In addition, BFR automatically removes up to a first‐order spatial B(0) drift. |
format | Online Article Text |
id | pubmed-7402020 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-74020202020-08-06 Correction of motion‐induced susceptibility artifacts and B(0) drift during proton resonance frequency shift‐based MR thermometry in the pelvis with background field removal methods Wu, Mingming Mulder, Hendrik T. Baron, Paul Coello, Eduardo Menzel, Marion I. van Rhoon, Gerard C. Haase, Axel Magn Reson Med Full Papers—Imaging Methodology PURPOSE: The linear change of the water proton resonance frequency shift (PRFS) with temperature is used to monitor temperature change based on the temporal difference of image phase. Here, the effect of motion‐induced susceptibility artifacts on the phase difference was studied in the context of mild radio frequency hyperthermia in the pelvis. METHODS: First, the respiratory‐induced field variations were disentangled from digestive gas motion in the pelvis. The projection onto dipole fields (PDF) as well as the Laplacian boundary value (LBV) algorithm were applied on the phase difference data to eliminate motion‐induced susceptibility artifacts. Both background field removal (BFR) algorithms were studied using simulations of susceptibility artifacts, a phantom heating experiment, and volunteer and patient heating data. RESULTS: Respiratory‐induced field variations were negligible in the presence of the filled water bolus. Even though LBV and PDF showed comparable results for most data, LBV seemed more robust in our data sets. Some data sets suggested that PDF tends to overestimate the background field, thus removing phase attributed to temperature. The BFR methods even corrected for susceptibility variations induced by a subvoxel displacement of the phantom. The method yielded successful artifact correction in 2 out of 4 patient treatment data sets during the entire treatment duration of mild RF heating of cervical cancer. The heating pattern corresponded well with temperature probe data. CONCLUSION: The application of background field removal methods in PRFS‐based MR thermometry has great potential in various heating applications and body regions to reduce motion‐induced susceptibility artifacts that originate outside the region of interest, while conserving temperature‐induced PRFS. In addition, BFR automatically removes up to a first‐order spatial B(0) drift. John Wiley and Sons Inc. 2020-05-05 2020-11 /pmc/articles/PMC7402020/ /pubmed/32367530 http://dx.doi.org/10.1002/mrm.28302 Text en © 2020 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Full Papers—Imaging Methodology Wu, Mingming Mulder, Hendrik T. Baron, Paul Coello, Eduardo Menzel, Marion I. van Rhoon, Gerard C. Haase, Axel Correction of motion‐induced susceptibility artifacts and B(0) drift during proton resonance frequency shift‐based MR thermometry in the pelvis with background field removal methods |
title | Correction of motion‐induced susceptibility artifacts and B(0) drift during proton resonance frequency shift‐based MR thermometry in the pelvis with background field removal methods |
title_full | Correction of motion‐induced susceptibility artifacts and B(0) drift during proton resonance frequency shift‐based MR thermometry in the pelvis with background field removal methods |
title_fullStr | Correction of motion‐induced susceptibility artifacts and B(0) drift during proton resonance frequency shift‐based MR thermometry in the pelvis with background field removal methods |
title_full_unstemmed | Correction of motion‐induced susceptibility artifacts and B(0) drift during proton resonance frequency shift‐based MR thermometry in the pelvis with background field removal methods |
title_short | Correction of motion‐induced susceptibility artifacts and B(0) drift during proton resonance frequency shift‐based MR thermometry in the pelvis with background field removal methods |
title_sort | correction of motion‐induced susceptibility artifacts and b(0) drift during proton resonance frequency shift‐based mr thermometry in the pelvis with background field removal methods |
topic | Full Papers—Imaging Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7402020/ https://www.ncbi.nlm.nih.gov/pubmed/32367530 http://dx.doi.org/10.1002/mrm.28302 |
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