Automatically hemodynamic analysis of AAA from CT images based on deep learning and CFD approaches

Abdominal aortic aneurysm is a serious disease which course is accompanied by the development of health complications and often leads to patient death due to aortic rupture. One of the powerful methods to estimate the risk of rupture is three-dimensional patient-specific hemodynamic analysis. In thi...

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Bibliographic Details
Published in:Journal of physics. Conference series 2021-12, Vol.2119 (1), p.12069
Main Authors: Fedotova, Y V, Epifanov, R UI, Karpenko, A A, Mullyadzhanov, R I
Format: Article
Language:English
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Summary:Abdominal aortic aneurysm is a serious disease which course is accompanied by the development of health complications and often leads to patient death due to aortic rupture. One of the powerful methods to estimate the risk of rupture is three-dimensional patient-specific hemodynamic analysis. In this study, we develop a software tool based on deep learning and CFD methods to perform automated computational hemodynamics with patient-specific geometry reconstructed from computed tomography images.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/2119/1/012069