Projects per year
Abstract
© 2016 Elsevier Ltd
The accuracy and usefulness of computed flow data in an artery is dependent on the initial geometry, which is in turn dependent on image quality. Due to the resolution of the images, smaller branching arteries are often not captured with computed tomography (CT), and thus neglected in flow simulations. Here, we used a high-quality CT dataset of an isolated common iliac aneurysm, where multiple small branches of the internal iliac artery were evident. Simulations were performed both with and without these branches. Results show that the haemodynamics in the common iliac artery were very similar for both cases, with any observable differences isolated to the regions local to the small branching arteries. Therefore, accounting for small downstream arteries may not be vital to accurate computations of upstream flow.
The accuracy and usefulness of computed flow data in an artery is dependent on the initial geometry, which is in turn dependent on image quality. Due to the resolution of the images, smaller branching arteries are often not captured with computed tomography (CT), and thus neglected in flow simulations. Here, we used a high-quality CT dataset of an isolated common iliac aneurysm, where multiple small branches of the internal iliac artery were evident. Simulations were performed both with and without these branches. Results show that the haemodynamics in the common iliac artery were very similar for both cases, with any observable differences isolated to the regions local to the small branching arteries. Therefore, accounting for small downstream arteries may not be vital to accurate computations of upstream flow.
Original language | English |
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Pages (from-to) | 3090-3096 |
Number of pages | 7 |
Journal | Journal of Biomechanics |
Volume | 49 |
Issue number | 13 |
Early online date | 26 Jul 2016 |
DOIs | |
Publication status | Published - 6 Sept 2016 |
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Dive into the research topics of 'The influence of downstream branching arteries on upstream haemodynamics'. Together they form a unique fingerprint.Projects
- 2 Finished
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Patient-specific modelling of cardiovascular disease
Doyle, B. (Investigator 01)
NHMRC National Health and Medical Research Council
1/01/15 → 31/12/18
Project: Research
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Engineering better clinical outcomes: Improving abdominal aortic aneurysm risk assessment through patient-specific computational modelling
Doyle, B. (Investigator 01), Newby, D. (Investigator 02), Hoskins, P. (Investigator 03) & Miller, K. (Investigator 04)
NHMRC National Health and Medical Research Council
1/01/14 → 30/09/18
Project: Research