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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...

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Autores principales: Wu, Mingming, Mulder, Hendrik T., Baron, Paul, Coello, Eduardo, Menzel, Marion I., van Rhoon, Gerard C., Haase, Axel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
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.
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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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