A computational model for prediction of clot platelet content in flow-diverted intracranial aneurysms
- Submitting institution
-
The University of Leeds
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- UOA11-3861
- Type
- D - Journal article
- DOI
-
10.1016/j.jbiomech.2019.04.045
- Title of journal
- Journal of Biomechanics
- Article number
- -
- First page
- 7
- Volume
- 91
- Issue
- -
- ISSN
- 0021-9290
- Open access status
- Compliant
- Month of publication
- May
- Year of publication
- 2019
- URL
-
-
- Supplementary information
-
https://doi.org/10.1016/j.jbiomech.2019.04.045
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
5
- Research group(s)
-
C - BMH (Applied Computing in Biology, Medicine and Health)
- Citation count
- 2
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- First computational model of coupled blood flow, platelet transport, and clot formation in cerebral aneurysms to have been validated against in vitro models. We are using the model to help in the design and testing of new medical devices and virtual treatment planning for intracranial aneurysms within the Royal Academy of Engineering Chair in Emerging Technology (INSILEX,£2.7M). The work has led to an ongoing collaboration with neurointerventionalists at Sheffield Teaching Hospitals (Dr Sanjoy Nagaraja, s.nagaraja@nhs.net) and has also been applied to the interventional planning of renal aneurysms in collaboration with Prof Julian Scott(D.J.A.Scott@leeds.ac.uk) from the Leeds Teaching Hospitals NHS Trust.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
