Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

BioPARR: A software system for estimating the rupture potential index for abdominal aortic aneurysms

Joldes, Grand Roman, Miller, Karol, Wittek, Adam, Forsythe, Rachael O., Newby, David E. and Doyle, Barry J. 2017. BioPARR: A software system for estimating the rupture potential index for abdominal aortic aneurysms. Scientific Reports 7 , 4641. 10.1038/s41598-017-04699-1

Full text not available from this repository.

Abstract

An abdominal aortic aneurysm (AAA) is a permanent and irreversible dilation of the lower region of the aorta. It is a symptomless condition that, if left untreated, can expand until rupture. Despite ongoing efforts, an efficient tool for accurate estimation of AAA rupture risk is still not available. Furthermore, a lack of standardisation across current approaches and specific obstacles within computational workflows limit the translation of existing methods to the clinic. This paper presents BioPARR (Biomechanics based Prediction of Aneurysm Rupture Risk), a software system to facilitate the analysis of AAA using a finite element analysis based approach. Except semi-automatic segmentation of the AAA and intraluminal thrombus (ILT) from medical images, the entire analysis is performed automatically. The system is modular and easily expandable, allows the extraction of information from images of different modalities (e.g. CT and MRI) and the simulation of different modelling scenarios (e.g. with/without thrombus). The software uses contemporary methods that eliminate the need for patient-specific material properties, overcoming perhaps the key limitation to all previous patient-specific analysis methods. The software system is robust, free, and will allow researchers to perform comparative evaluation of AAA using a standardised approach. We report preliminary data from 48 cases.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Publisher: Nature Publishing Group
ISSN: 2045-2322
Date of Acceptance: 19 May 2017
Last Modified: 19 Mar 2019 12:19
URI: https://orca.cardiff.ac.uk/id/eprint/120484

Citation Data

Cited 39 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item