Journal article
BioPARR: A software system for estimating the rupture potential index for abdominal aortic aneurysms
Scientific Reports, Vol.7(1)
2017
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.
Details
- Title
- BioPARR: A software system for estimating the rupture potential index for abdominal aortic aneurysms
- Authors/Creators
- G.R. Joldes (Author/Creator) - Murdoch UniversityK. Miller (Author/Creator) - The University of Western AustraliaA. Wittek (Author/Creator) - The University of Western AustraliaR.O. Forsythe (Author/Creator) - University of EdinburghD.E. Newby (Author/Creator) - University of EdinburghB.J. Doyle (Author/Creator) - The University of Western Australia
- Publication Details
- Scientific Reports, Vol.7(1)
- Publisher
- Springer Nature
- Identifiers
- 991005543292807891
- Murdoch Affiliation
- School of Engineering and Information Technology
- Language
- English
- Resource Type
- Journal article
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Source: InCites
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- Collaboration types
- Domestic collaboration
- International collaboration
- Citation topics
- 1 Clinical & Life Sciences
- 1.168 Vascular, Cardiac & Thoracic Surgery
- 1.168.235 Aortic Aneurysms
- Web Of Science research areas
- Peripheral Vascular Disease
- ESI research areas
- Clinical Medicine