On the influence of patient-specific material properties in computational simulations: A case study of a large ruptured abdominal aortic aneurysm
Article first published online: 5 OCT 2012
Copyright © 2012 John Wiley & Sons, Ltd.
International Journal for Numerical Methods in Biomedical Engineering
Special Issue: Patient Specific Modelling
Volume 29, Issue 2, pages 150–164, February 2013
How to Cite
Doyle, B. J., Callanan, A., Grace, P. A. and Kavanagh, E. G. (2013), On the influence of patient-specific material properties in computational simulations: A case study of a large ruptured abdominal aortic aneurysm. Int. J. Numer. Meth. Biomed. Engng., 29: 150–164. doi: 10.1002/cnm.2515
- Issue published online: 5 FEB 2013
- Article first published online: 5 OCT 2012
- Manuscript Accepted: 31 AUG 2012
- Manuscript Revised: 30 AUG 2012
- Manuscript Received: 28 MAR 2012
- Irish Research Council for Science, Engineering and Technology-Marie Curie International Mobility Fellowship in Science, Engineering and Technology. Grant Number: PD/2010/INSP/1353
- abdominal aortic aneurysm;
Patient-specific modelling of abdominal aortic aneurysm has been shown to have clinical potential. This paper examines a large ruptured abdominal aortic aneurysm where the tissue from the diseased wall and the intraluminal thrombus was excised during open surgical repair and experimentally characterised. The mechanical data were used to develop material parameters that were incorporated into finite element models with measured nonuniform wall thickness. Implementation of the material data into the numerical model increased peak wall stress by 67%, wall strain by 320% and displacement by 177%, when compared with simulations based on material properties available in the literature. Distributions of numerical results were similar for both material data. Magnitudes of numerical results can differ significantly when using patient-specific material properties and therefore, care should be taken when interpreting numerical results derived from population-based data.Copyright © 2012 John Wiley & Sons, Ltd.