Computational tools for clinical support: a multi-scale compliant model for haemodynamic simulations in an aortic dissection based on multi-modal imaging data

Bonfanti, M, Balabani, S, Greenwood, JP orcid.org/0000-0002-2861-0914 et al. (3 more authors) (2017) Computational tools for clinical support: a multi-scale compliant model for haemodynamic simulations in an aortic dissection based on multi-modal imaging data. Journal of The Royal Society Interface, 14 (136). 20170632. ISSN 1742-5662

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Authors/Creators:
Copyright, Publisher and Additional Information: (c) 2017 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
Keywords: patient-specific simulation; aortic dissection; computational fluid dynamics; fluid –structure interaction; Windkessel model; moving boundary
Dates:
  • Published: November 2017
  • Accepted: 13 October 2017
  • Published (online): 8 November 2017
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: 22 Jan 2019 11:18
Last Modified: 22 Jan 2019 11:18
Status: Published
Publisher: The Royal Society
Identification Number: https://doi.org/10.1098/rsif.2017.0632
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