Exploring arterial tissue microstructural organization using non-Gaussian diffusion magnetic resonance schemes

Abstract The purpose of this study was to characterize the alterations in microstructural organization of arterial tissue using higher-order diffusion magnetic resonance schemes. Three porcine carotid artery models namely; native, collagenase treated and decellularized, were used to estimate the con...

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Autores principales:	Syed Salman Shahid, Robert D. Johnston, Celine Smekens, Christian Kerskens, Robert Gaul, Brooke Tornifoglio, Alan J. Stone, Caitríona Lally
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/aff10f6c176941d3b4fb36f14b6c12bf
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spelling	oai:doaj.org-article:aff10f6c176941d3b4fb36f14b6c12bf2021-11-21T12:16:48ZExploring arterial tissue microstructural organization using non-Gaussian diffusion magnetic resonance schemes10.1038/s41598-021-01476-z2045-2322https://doaj.org/article/aff10f6c176941d3b4fb36f14b6c12bf2021-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-01476-zhttps://doaj.org/toc/2045-2322Abstract The purpose of this study was to characterize the alterations in microstructural organization of arterial tissue using higher-order diffusion magnetic resonance schemes. Three porcine carotid artery models namely; native, collagenase treated and decellularized, were used to estimate the contribution of collagen and smooth muscle cells (SMC) on diffusion signal attenuation using gaussian and non-gaussian schemes. The samples were imaged in a 7 T preclinical scanner. High spatial and angular resolution diffusion weighted images (DWIs) were acquired using two multi-shell (max b-value = 3000 s/mm2) acquisition protocols. The processed DWIs were fitted using monoexponential, stretched-exponential, kurtosis and bi-exponential schemes. Directionally variant and invariant microstructural parametric maps of the three artery models were obtained from the diffusion schemes. The parametric maps were used to assess the sensitivity of each diffusion scheme to collagen and SMC composition in arterial microstructural environment. The inter-model comparison showed significant differences across the considered models. The bi-exponential scheme based slow diffusion compartment (Ds) was highest in the absence of collagen, compared to native and decellularized microenvironments. In intra-model comparison, kurtosis along the radial direction was the highest. Overall, the results of this study demonstrate the efficacy of higher order dMRI schemes in mapping constituent specific alterations in arterial microstructure.Syed Salman ShahidRobert D. JohnstonCeline SmekensChristian KerskensRobert GaulBrooke TornifoglioAlan J. StoneCaitríona LallyNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Syed Salman Shahid Robert D. Johnston Celine Smekens Christian Kerskens Robert Gaul Brooke Tornifoglio Alan J. Stone Caitríona Lally Exploring arterial tissue microstructural organization using non-Gaussian diffusion magnetic resonance schemes
description	Abstract The purpose of this study was to characterize the alterations in microstructural organization of arterial tissue using higher-order diffusion magnetic resonance schemes. Three porcine carotid artery models namely; native, collagenase treated and decellularized, were used to estimate the contribution of collagen and smooth muscle cells (SMC) on diffusion signal attenuation using gaussian and non-gaussian schemes. The samples were imaged in a 7 T preclinical scanner. High spatial and angular resolution diffusion weighted images (DWIs) were acquired using two multi-shell (max b-value = 3000 s/mm2) acquisition protocols. The processed DWIs were fitted using monoexponential, stretched-exponential, kurtosis and bi-exponential schemes. Directionally variant and invariant microstructural parametric maps of the three artery models were obtained from the diffusion schemes. The parametric maps were used to assess the sensitivity of each diffusion scheme to collagen and SMC composition in arterial microstructural environment. The inter-model comparison showed significant differences across the considered models. The bi-exponential scheme based slow diffusion compartment (Ds) was highest in the absence of collagen, compared to native and decellularized microenvironments. In intra-model comparison, kurtosis along the radial direction was the highest. Overall, the results of this study demonstrate the efficacy of higher order dMRI schemes in mapping constituent specific alterations in arterial microstructure.
format	article
author	Syed Salman Shahid Robert D. Johnston Celine Smekens Christian Kerskens Robert Gaul Brooke Tornifoglio Alan J. Stone Caitríona Lally
author_facet	Syed Salman Shahid Robert D. Johnston Celine Smekens Christian Kerskens Robert Gaul Brooke Tornifoglio Alan J. Stone Caitríona Lally
author_sort	Syed Salman Shahid
title	Exploring arterial tissue microstructural organization using non-Gaussian diffusion magnetic resonance schemes
title_short	Exploring arterial tissue microstructural organization using non-Gaussian diffusion magnetic resonance schemes
title_full	Exploring arterial tissue microstructural organization using non-Gaussian diffusion magnetic resonance schemes
title_fullStr	Exploring arterial tissue microstructural organization using non-Gaussian diffusion magnetic resonance schemes
title_full_unstemmed	Exploring arterial tissue microstructural organization using non-Gaussian diffusion magnetic resonance schemes
title_sort	exploring arterial tissue microstructural organization using non-gaussian diffusion magnetic resonance schemes
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/aff10f6c176941d3b4fb36f14b6c12bf
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Exploring arterial tissue microstructural organization using non-Gaussian diffusion magnetic resonance schemes

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