Computational numerical simulation study on the influencing factors of thoracic aortic aneurysm distensibility

Xiaohong Wang; Yanrong Ren

doi:10.1117/12.2687853

28 August 2023 Computational numerical simulation study on the influencing factors of thoracic aortic aneurysm distensibility

Xiaohong Wang, Yanrong Ren

Author Affiliations +

Proceedings Volume 12724, Second International Conference on Biomedical and Intelligent Systems (IC-BIS 2023); 127242G (2023) https://doi.org/10.1117/12.2687853
Event: Second International Conference on Biomedical and Intelligent Systems (IC-BIS2023), 2023, Xiamen, China

Abstract

Thoracic aortic aneurysm (TAA) is a prevalent disease that can cause considerable mortality if the aneurysm ruptures. In recent years, computer has played an increasingly irreplaceable role in the researches on the rupture risk prediction of aortic aneurysm. However, computational numerical studies on the influencing factors of TAA distensibility indicated by wall compliance and stiffness have rarely been addressed in literatures. In this work, CT-image based patient-specific TAA numerical models were constructed by computer. Fluid-solid interaction was considered in the simulation. The variation of TAA distensibility was observed as the mechanism of wall material behaved differently. Results also showed that the release of wall boundary constraint could lead to a decline in TAA compliance and an increase in TAA stiffness. Moreover, study found that different sites of the aneurysm had different distensibility. Quantitative study on the TAA distensibility was presented in this paper. It may provide a new basis on the rupture potential of TAA. This study may have important implications on future patient-specific diagnosis and intervention for individual TAA patients.

Citation Download Citation

Xiaohong Wang and Yanrong Ren "Computational numerical simulation study on the influencing factors of thoracic aortic aneurysm distensibility", Proc. SPIE 12724, Second International Conference on Biomedical and Intelligent Systems (IC-BIS 2023), 127242G (28 August 2023); https://doi.org/10.1117/12.2687853

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