Bates, J, Teh, I, McClymont, D et al. (3 more authors) (2017) Monte Carlo Simulations of Diffusion Weighted MRI in Myocardium: Validation and Sensitivity Analysis. IEEE Transactions on Medical Imaging, 36 (6). pp. 1316-1325. ISSN 0278-0062
Abstract
A model of cardiac microstructure and diffusion MRI is presented, and compared with experimental data from ex vivo rat hearts. The model includes a simplified representation of individual cells, with physiologically correct cell size and orientation, as well as intra- to extracellular volume ratio. Diffusion MRI is simulated using a Monte Carlo model and realistic MRI sequences. The results show good correspondence between the simulated and experimental MRI signals. Similar patterns are observed in the eigenvalues of the diffusion tensor, the mean diffusivity (MD), and the fractional anisotropy (FA). A sensitivity analysis shows that the diffusivity is the dominant influence on all three eigenvalues of the diffusion tensor, the MD, and the FA. The area and aspect ratio of the cell cross-section affect the secondary and tertiary eigenvalues, and hence the FA. Within biological norms, the cell length, volume fraction of cells, and rate of change of helix angle play a relatively small role in influencing tissue diffusion. Results suggest that the model could be used to improve understanding of the relationship between cardiac microstructure and diffusion MRI measurements, as well as in testing and refinement of cardiac diffusion MRI protocols.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017, Author(s). This work is licensed under a Creative Commons Attribution 3.0 License |
Keywords: | Magnetic resonance imaging,; heart; integrated circle modeling; solid modeling; analytical models; data models; myocardium |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM) > Biomedical Imaging Science Dept (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 09 Aug 2019 12:14 |
Last Modified: | 09 Aug 2019 12:32 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/TMI.2017.2679809 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:149519 |
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Filename: Bates, Monte Carlo simulations of diffusion in heart, IEEE TMI (2017).pdf
Licence: CC-BY 3.0