Application of quantitative MRI for brain tissue segmentation at 1.5 T and 3.0 T field strengths.

<h4>Background</h4>Brain tissue segmentation of white matter (WM), grey matter (GM), and cerebrospinal fluid (CSF) are important in neuroradiological applications. Quantitative Mri (qMRI) allows segmentation based on physical tissue properties, and the dependencies on MR scanner settings...

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Main Authors: Janne West, Ida Blystad, Maria Engström, Jan B M Warntjes, Peter Lundberg
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2013-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24066153/pdf/?tool=EBI
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spelling doaj-99cd436487a94c148c769cf161bc9aa42021-03-04T10:22:01ZengPublic Library of Science (PLoS)PLoS ONE1932-62032013-01-0189e7479510.1371/journal.pone.0074795Application of quantitative MRI for brain tissue segmentation at 1.5 T and 3.0 T field strengths.Janne WestIda BlystadMaria EngströmJan B M WarntjesPeter Lundberg<h4>Background</h4>Brain tissue segmentation of white matter (WM), grey matter (GM), and cerebrospinal fluid (CSF) are important in neuroradiological applications. Quantitative Mri (qMRI) allows segmentation based on physical tissue properties, and the dependencies on MR scanner settings are removed. Brain tissue groups into clusters in the three dimensional space formed by the qMRI parameters R1, R2 and PD, and partial volume voxels are intermediate in this space. The qMRI parameters, however, depend on the main magnetic field strength. Therefore, longitudinal studies can be seriously limited by system upgrades. The aim of this work was to apply one recently described brain tissue segmentation method, based on qMRI, at both 1.5 T and 3.0 T field strengths, and to investigate similarities and differences.<h4>Methods</h4>In vivo qMRI measurements were performed on 10 healthy subjects using both 1.5 T and 3.0 T MR scanners. The brain tissue segmentation method was applied for both 1.5 T and 3.0 T and volumes of WM, GM, CSF and brain parenchymal fraction (BPF) were calculated on both field strengths. Repeatability was calculated for each scanner and a General Linear Model was used to examine the effect of field strength. Voxel-wise t-tests were also performed to evaluate regional differences.<h4>Results</h4>Statistically significant differences were found between 1.5 T and 3.0 T for WM, GM, CSF and BPF (p<0.001). Analyses of main effects showed that WM was underestimated, while GM and CSF were overestimated on 1.5 T compared to 3.0 T. The mean differences between 1.5 T and 3.0 T were -66 mL WM, 40 mL GM, 29 mL CSF and -1.99% BPF. Voxel-wise t-tests revealed regional differences of WM and GM in deep brain structures, cerebellum and brain stem.<h4>Conclusions</h4>Most of the brain was identically classified at the two field strengths, although some regional differences were observed.https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24066153/pdf/?tool=EBI
collection DOAJ
language English
format Article
sources DOAJ
author Janne West
Ida Blystad
Maria Engström
Jan B M Warntjes
Peter Lundberg
spellingShingle Janne West
Ida Blystad
Maria Engström
Jan B M Warntjes
Peter Lundberg
Application of quantitative MRI for brain tissue segmentation at 1.5 T and 3.0 T field strengths.
PLoS ONE
author_facet Janne West
Ida Blystad
Maria Engström
Jan B M Warntjes
Peter Lundberg
author_sort Janne West
title Application of quantitative MRI for brain tissue segmentation at 1.5 T and 3.0 T field strengths.
title_short Application of quantitative MRI for brain tissue segmentation at 1.5 T and 3.0 T field strengths.
title_full Application of quantitative MRI for brain tissue segmentation at 1.5 T and 3.0 T field strengths.
title_fullStr Application of quantitative MRI for brain tissue segmentation at 1.5 T and 3.0 T field strengths.
title_full_unstemmed Application of quantitative MRI for brain tissue segmentation at 1.5 T and 3.0 T field strengths.
title_sort application of quantitative mri for brain tissue segmentation at 1.5 t and 3.0 t field strengths.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2013-01-01
description <h4>Background</h4>Brain tissue segmentation of white matter (WM), grey matter (GM), and cerebrospinal fluid (CSF) are important in neuroradiological applications. Quantitative Mri (qMRI) allows segmentation based on physical tissue properties, and the dependencies on MR scanner settings are removed. Brain tissue groups into clusters in the three dimensional space formed by the qMRI parameters R1, R2 and PD, and partial volume voxels are intermediate in this space. The qMRI parameters, however, depend on the main magnetic field strength. Therefore, longitudinal studies can be seriously limited by system upgrades. The aim of this work was to apply one recently described brain tissue segmentation method, based on qMRI, at both 1.5 T and 3.0 T field strengths, and to investigate similarities and differences.<h4>Methods</h4>In vivo qMRI measurements were performed on 10 healthy subjects using both 1.5 T and 3.0 T MR scanners. The brain tissue segmentation method was applied for both 1.5 T and 3.0 T and volumes of WM, GM, CSF and brain parenchymal fraction (BPF) were calculated on both field strengths. Repeatability was calculated for each scanner and a General Linear Model was used to examine the effect of field strength. Voxel-wise t-tests were also performed to evaluate regional differences.<h4>Results</h4>Statistically significant differences were found between 1.5 T and 3.0 T for WM, GM, CSF and BPF (p<0.001). Analyses of main effects showed that WM was underestimated, while GM and CSF were overestimated on 1.5 T compared to 3.0 T. The mean differences between 1.5 T and 3.0 T were -66 mL WM, 40 mL GM, 29 mL CSF and -1.99% BPF. Voxel-wise t-tests revealed regional differences of WM and GM in deep brain structures, cerebellum and brain stem.<h4>Conclusions</h4>Most of the brain was identically classified at the two field strengths, although some regional differences were observed.
url https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24066153/pdf/?tool=EBI
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