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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| Format: | Article |
| Language: | English |
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Nature Portfolio
2021-11-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-021-01476-z |
| _version_ | 1818826952052572160 |
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| 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 |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-19T00:35:50Z |
| format | Article |
| id | doaj.art-aff10f6c176941d3b4fb36f14b6c12bf |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-12-19T00:35:50Z |
| publishDate | 2021-11-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-aff10f6c176941d3b4fb36f14b6c12bf2022-12-21T20:44:48ZengNature PortfolioScientific Reports2045-23222021-11-0111111310.1038/s41598-021-01476-zExploring arterial tissue microstructural organization using non-Gaussian diffusion magnetic resonance schemesSyed Salman Shahid0Robert D. Johnston1Celine Smekens2Christian Kerskens3Robert Gaul4Brooke Tornifoglio5Alan J. Stone6Caitríona Lally7Department of Radiology and Imaging Sciences, Indiana University School of MedicineTrinity Centre for Biomedical Engineering, Trinity Biomedical Sciences Institute, Trinity College DublinTrinity Centre for Biomedical Engineering, Trinity Biomedical Sciences Institute, Trinity College DublinTrinity College Institute of Neuroscience, Trinity College DublinTrinity Centre for Biomedical Engineering, Trinity Biomedical Sciences Institute, Trinity College DublinTrinity Centre for Biomedical Engineering, Trinity Biomedical Sciences Institute, Trinity College DublinTrinity Centre for Biomedical Engineering, Trinity Biomedical Sciences Institute, Trinity College DublinTrinity Centre for Biomedical Engineering, Trinity Biomedical Sciences Institute, Trinity College DublinAbstract 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.https://doi.org/10.1038/s41598-021-01476-z |
| spellingShingle | 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 Scientific Reports |
| title | 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_short | 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 |
| url | https://doi.org/10.1038/s41598-021-01476-z |
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