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Modeling the Presence of Myelin and Edema in the Brain Based on Multi-Parametric Quantitative MRI
The aim of this study was to present a model that uses multi-parametric quantitative MRI to estimate the presence of myelin and edema in the brain. The model relates simultaneous measurement of R(1) and R(2) relaxation rates and proton density to four partial volume compartments, consisting of myeli...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4756127/ https://www.ncbi.nlm.nih.gov/pubmed/26925030 http://dx.doi.org/10.3389/fneur.2016.00016 |
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author | Warntjes, Marcel Engström, Maria Tisell, Anders Lundberg, Peter |
author_facet | Warntjes, Marcel Engström, Maria Tisell, Anders Lundberg, Peter |
author_sort | Warntjes, Marcel |
collection | PubMed |
description | The aim of this study was to present a model that uses multi-parametric quantitative MRI to estimate the presence of myelin and edema in the brain. The model relates simultaneous measurement of R(1) and R(2) relaxation rates and proton density to four partial volume compartments, consisting of myelin partial volume, cellular partial volume, free water partial volume, and excess parenchymal water partial volume. The model parameters were obtained using spatially normalized brain images of a group of 20 healthy controls. The pathological brain was modeled in terms of the reduction of myelin content and presence of excess parenchymal water, which indicates the degree of edema. The method was tested on spatially normalized brain images of a group of 20 age-matched multiple sclerosis (MS) patients. Clear differences were observed with respect to the healthy controls: the MS group had a 79 mL smaller brain volume (1069 vs. 1148 mL), a 38 mL smaller myelin volume (119 vs. 157 mL), and a 21 mL larger excess parenchymal water volume (78 vs. 57 mL). Template regions of interest of various brain structures indicated that the myelin partial volume in the MS group was 1.6 ± 1.5% lower for gray matter (GM) structures and 2.8 ± 1.0% lower for white matter (WM) structures. The excess parenchymal water partial volume was 9 ± 10% larger for GM and 5 ± 2% larger for WM. Manually placed ROIs indicated that the results using the template ROIs may have suffered from loss of anatomical detail due to the spatial normalization process. Examples of the application of the method on high-resolution images are provided for three individual subjects: a 45-year-old healthy subject, a 72-year-old healthy subject, and a 45-year-old MS patient. The observed results agreed with the expected behavior considering both age and disease. In conclusion, the proposed model may provide clinically important parameters, such as the total brain volume, degree of myelination, and degree of edema, based on a single qMRI acquisition with a clinically acceptable scan time. |
format | Online Article Text |
id | pubmed-4756127 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-47561272016-02-26 Modeling the Presence of Myelin and Edema in the Brain Based on Multi-Parametric Quantitative MRI Warntjes, Marcel Engström, Maria Tisell, Anders Lundberg, Peter Front Neurol Neuroscience The aim of this study was to present a model that uses multi-parametric quantitative MRI to estimate the presence of myelin and edema in the brain. The model relates simultaneous measurement of R(1) and R(2) relaxation rates and proton density to four partial volume compartments, consisting of myelin partial volume, cellular partial volume, free water partial volume, and excess parenchymal water partial volume. The model parameters were obtained using spatially normalized brain images of a group of 20 healthy controls. The pathological brain was modeled in terms of the reduction of myelin content and presence of excess parenchymal water, which indicates the degree of edema. The method was tested on spatially normalized brain images of a group of 20 age-matched multiple sclerosis (MS) patients. Clear differences were observed with respect to the healthy controls: the MS group had a 79 mL smaller brain volume (1069 vs. 1148 mL), a 38 mL smaller myelin volume (119 vs. 157 mL), and a 21 mL larger excess parenchymal water volume (78 vs. 57 mL). Template regions of interest of various brain structures indicated that the myelin partial volume in the MS group was 1.6 ± 1.5% lower for gray matter (GM) structures and 2.8 ± 1.0% lower for white matter (WM) structures. The excess parenchymal water partial volume was 9 ± 10% larger for GM and 5 ± 2% larger for WM. Manually placed ROIs indicated that the results using the template ROIs may have suffered from loss of anatomical detail due to the spatial normalization process. Examples of the application of the method on high-resolution images are provided for three individual subjects: a 45-year-old healthy subject, a 72-year-old healthy subject, and a 45-year-old MS patient. The observed results agreed with the expected behavior considering both age and disease. In conclusion, the proposed model may provide clinically important parameters, such as the total brain volume, degree of myelination, and degree of edema, based on a single qMRI acquisition with a clinically acceptable scan time. Frontiers Media S.A. 2016-02-17 /pmc/articles/PMC4756127/ /pubmed/26925030 http://dx.doi.org/10.3389/fneur.2016.00016 Text en Copyright © 2016 Warntjes, Engström, Tisell and Lundberg. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Warntjes, Marcel Engström, Maria Tisell, Anders Lundberg, Peter Modeling the Presence of Myelin and Edema in the Brain Based on Multi-Parametric Quantitative MRI |
title | Modeling the Presence of Myelin and Edema in the Brain Based on Multi-Parametric Quantitative MRI |
title_full | Modeling the Presence of Myelin and Edema in the Brain Based on Multi-Parametric Quantitative MRI |
title_fullStr | Modeling the Presence of Myelin and Edema in the Brain Based on Multi-Parametric Quantitative MRI |
title_full_unstemmed | Modeling the Presence of Myelin and Edema in the Brain Based on Multi-Parametric Quantitative MRI |
title_short | Modeling the Presence of Myelin and Edema in the Brain Based on Multi-Parametric Quantitative MRI |
title_sort | modeling the presence of myelin and edema in the brain based on multi-parametric quantitative mri |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4756127/ https://www.ncbi.nlm.nih.gov/pubmed/26925030 http://dx.doi.org/10.3389/fneur.2016.00016 |
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