Nonparametric D-R1-R2 distribution MRI of the living human brain

Diffusion-relaxation correlation NMR can simultaneously characterize both the microstructure and the local chemical composition of complex samples that contain multiple populations of water. Recent developments on tensor-valued diffusion encoding and Monte Carlo inversion algorithms have made it pos...

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Autores principales:	Jan Martin, Alexis Reymbaut, Manuel Schmidt, Arnd Doerfler, Michael Uder, Frederik Bernd Laun, Daniel Topgaard
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Diffusion Relaxation Correlation Microstructure Signal inversion Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571
Acceso en línea:	https://doaj.org/article/18b60131bbf44f32ba09217f690d190a
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spelling	oai:doaj.org-article:18b60131bbf44f32ba09217f690d190a2021-12-04T04:33:17ZNonparametric D-R1-R2 distribution MRI of the living human brain1095-957210.1016/j.neuroimage.2021.118753https://doaj.org/article/18b60131bbf44f32ba09217f690d190a2021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1053811921010259https://doaj.org/toc/1095-9572Diffusion-relaxation correlation NMR can simultaneously characterize both the microstructure and the local chemical composition of complex samples that contain multiple populations of water. Recent developments on tensor-valued diffusion encoding and Monte Carlo inversion algorithms have made it possible to transfer diffusion-relaxation correlation NMR from small-bore scanners to clinical MRI systems. Initial studies on clinical MRI systems employed 5D D-R1 and D-R2 correlation to characterize healthy brain in vivo. However, these methods are subject to an inherent bias that originates from not including R2 or R1 in the analysis, respectively. This drawback can be remedied by extending the concept to 6D D-R1-R2 correlation. In this work, we present a sparse acquisition protocol that records all data necessary for in vivo 6D D-R1-R2 correlation MRI across 633 individual measurements within 25 min—a time frame comparable to previous lower-dimensional acquisition protocols. The data were processed with a Monte Carlo inversion algorithm to obtain nonparametric 6D D-R1-R2 distributions. We validated the reproducibility of the method in repeated measurements of healthy volunteers. For a post-therapy glioblastoma case featuring cysts, edema, and partially necrotic remains of tumor, we present representative single-voxel 6D distributions, parameter maps, and artificial contrasts over a wide range of diffusion-, R1-, and R2-weightings based on the rich information contained in the D-R1-R2 distributions.Jan MartinAlexis ReymbautManuel SchmidtArnd DoerflerMichael UderFrederik Bernd LaunDaniel TopgaardElsevierarticleDiffusionRelaxationCorrelationMicrostructureSignal inversionNeurosciences. Biological psychiatry. NeuropsychiatryRC321-571ENNeuroImage, Vol 245, Iss , Pp 118753- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Diffusion Relaxation Correlation Microstructure Signal inversion Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571
spellingShingle	Diffusion Relaxation Correlation Microstructure Signal inversion Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Jan Martin Alexis Reymbaut Manuel Schmidt Arnd Doerfler Michael Uder Frederik Bernd Laun Daniel Topgaard Nonparametric D-R1-R2 distribution MRI of the living human brain
description	Diffusion-relaxation correlation NMR can simultaneously characterize both the microstructure and the local chemical composition of complex samples that contain multiple populations of water. Recent developments on tensor-valued diffusion encoding and Monte Carlo inversion algorithms have made it possible to transfer diffusion-relaxation correlation NMR from small-bore scanners to clinical MRI systems. Initial studies on clinical MRI systems employed 5D D-R1 and D-R2 correlation to characterize healthy brain in vivo. However, these methods are subject to an inherent bias that originates from not including R2 or R1 in the analysis, respectively. This drawback can be remedied by extending the concept to 6D D-R1-R2 correlation. In this work, we present a sparse acquisition protocol that records all data necessary for in vivo 6D D-R1-R2 correlation MRI across 633 individual measurements within 25 min—a time frame comparable to previous lower-dimensional acquisition protocols. The data were processed with a Monte Carlo inversion algorithm to obtain nonparametric 6D D-R1-R2 distributions. We validated the reproducibility of the method in repeated measurements of healthy volunteers. For a post-therapy glioblastoma case featuring cysts, edema, and partially necrotic remains of tumor, we present representative single-voxel 6D distributions, parameter maps, and artificial contrasts over a wide range of diffusion-, R1-, and R2-weightings based on the rich information contained in the D-R1-R2 distributions.
format	article
author	Jan Martin Alexis Reymbaut Manuel Schmidt Arnd Doerfler Michael Uder Frederik Bernd Laun Daniel Topgaard
author_facet	Jan Martin Alexis Reymbaut Manuel Schmidt Arnd Doerfler Michael Uder Frederik Bernd Laun Daniel Topgaard
author_sort	Jan Martin
title	Nonparametric D-R1-R2 distribution MRI of the living human brain
title_short	Nonparametric D-R1-R2 distribution MRI of the living human brain
title_full	Nonparametric D-R1-R2 distribution MRI of the living human brain
title_fullStr	Nonparametric D-R1-R2 distribution MRI of the living human brain
title_full_unstemmed	Nonparametric D-R1-R2 distribution MRI of the living human brain
title_sort	nonparametric d-r1-r2 distribution mri of the living human brain
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/18b60131bbf44f32ba09217f690d190a
work_keys_str_mv	AT janmartin nonparametricdr1r2distributionmriofthelivinghumanbrain AT alexisreymbaut nonparametricdr1r2distributionmriofthelivinghumanbrain AT manuelschmidt nonparametricdr1r2distributionmriofthelivinghumanbrain AT arnddoerfler nonparametricdr1r2distributionmriofthelivinghumanbrain AT michaeluder nonparametricdr1r2distributionmriofthelivinghumanbrain AT frederikberndlaun nonparametricdr1r2distributionmriofthelivinghumanbrain AT danieltopgaard nonparametricdr1r2distributionmriofthelivinghumanbrain
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Nonparametric D-R1-R2 distribution MRI of the living human brain

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