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Magnetic Susceptibility Source Separation Solely from Gradient Echo Data: Histological Validation

Quantitative susceptibility mapping (QSM) facilitates mapping of the bulk magnetic susceptibility of tissue from the phase of complex gradient echo (GRE) MRI data. QSM phase processing combined with an [Formula: see text] model of magnitude of multiecho gradient echo data ([Formula: see text]) allow...

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Detalles Bibliográficos
Autores principales: Dimov, Alexey V., Gillen, Kelly M., Nguyen, Thanh D., Kang, Jerry, Sharma, Ria, Pitt, David, Gauthier, Susan A., Wang, Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9228115/
https://www.ncbi.nlm.nih.gov/pubmed/35736875
http://dx.doi.org/10.3390/tomography8030127
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author Dimov, Alexey V.
Gillen, Kelly M.
Nguyen, Thanh D.
Kang, Jerry
Sharma, Ria
Pitt, David
Gauthier, Susan A.
Wang, Yi
author_facet Dimov, Alexey V.
Gillen, Kelly M.
Nguyen, Thanh D.
Kang, Jerry
Sharma, Ria
Pitt, David
Gauthier, Susan A.
Wang, Yi
author_sort Dimov, Alexey V.
collection PubMed
description Quantitative susceptibility mapping (QSM) facilitates mapping of the bulk magnetic susceptibility of tissue from the phase of complex gradient echo (GRE) MRI data. QSM phase processing combined with an [Formula: see text] model of magnitude of multiecho gradient echo data ([Formula: see text]) allows separation of dia- and para-magnetic components (e.g., myelin and iron) that contribute constructively to [Formula: see text] value but destructively to the QSM value of a voxel. This [Formula: see text] technique is validated against quantitative histology—optical density of myelin basic protein and Perls’ iron histological stains of rim and core of 10 ex vivo multiple sclerosis lesions, as well as neighboring normal appearing white matter. We found that [Formula: see text] source maps are in good qualitative agreement with histology, e.g., showing increased iron concentration at the edge of the rim+ lesions and myelin loss in the lesions’ core. Furthermore, our results indicate statistically significant correlation between paramagnetic and diamagnetic tissue components estimated with [Formula: see text] and optical densities of Perls’ and MPB stains. These findings provide direct support for the use of [Formula: see text] magnetic source separation based solely on GRE complex data to characterize MS lesion composition.
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spelling pubmed-92281152022-06-25 Magnetic Susceptibility Source Separation Solely from Gradient Echo Data: Histological Validation Dimov, Alexey V. Gillen, Kelly M. Nguyen, Thanh D. Kang, Jerry Sharma, Ria Pitt, David Gauthier, Susan A. Wang, Yi Tomography Article Quantitative susceptibility mapping (QSM) facilitates mapping of the bulk magnetic susceptibility of tissue from the phase of complex gradient echo (GRE) MRI data. QSM phase processing combined with an [Formula: see text] model of magnitude of multiecho gradient echo data ([Formula: see text]) allows separation of dia- and para-magnetic components (e.g., myelin and iron) that contribute constructively to [Formula: see text] value but destructively to the QSM value of a voxel. This [Formula: see text] technique is validated against quantitative histology—optical density of myelin basic protein and Perls’ iron histological stains of rim and core of 10 ex vivo multiple sclerosis lesions, as well as neighboring normal appearing white matter. We found that [Formula: see text] source maps are in good qualitative agreement with histology, e.g., showing increased iron concentration at the edge of the rim+ lesions and myelin loss in the lesions’ core. Furthermore, our results indicate statistically significant correlation between paramagnetic and diamagnetic tissue components estimated with [Formula: see text] and optical densities of Perls’ and MPB stains. These findings provide direct support for the use of [Formula: see text] magnetic source separation based solely on GRE complex data to characterize MS lesion composition. MDPI 2022-06-14 /pmc/articles/PMC9228115/ /pubmed/35736875 http://dx.doi.org/10.3390/tomography8030127 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Dimov, Alexey V.
Gillen, Kelly M.
Nguyen, Thanh D.
Kang, Jerry
Sharma, Ria
Pitt, David
Gauthier, Susan A.
Wang, Yi
Magnetic Susceptibility Source Separation Solely from Gradient Echo Data: Histological Validation
title Magnetic Susceptibility Source Separation Solely from Gradient Echo Data: Histological Validation
title_full Magnetic Susceptibility Source Separation Solely from Gradient Echo Data: Histological Validation
title_fullStr Magnetic Susceptibility Source Separation Solely from Gradient Echo Data: Histological Validation
title_full_unstemmed Magnetic Susceptibility Source Separation Solely from Gradient Echo Data: Histological Validation
title_short Magnetic Susceptibility Source Separation Solely from Gradient Echo Data: Histological Validation
title_sort magnetic susceptibility source separation solely from gradient echo data: histological validation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9228115/
https://www.ncbi.nlm.nih.gov/pubmed/35736875
http://dx.doi.org/10.3390/tomography8030127
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