Naslov
Automating Blood Flow Simulation Through the Aorta in Patient-specific CT Images

Autori
Habijan, Marija ; Galic, Irena

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), ostalo

Izvornik
Proceedings of the 55th Hawaii International Conference on System Sciences 2022 / - Honolulu (HI) : ScholarSpace, 2022, 3642-3650

ISBN
978-0-9981331-5-7

Skup
55th Hawaii International Conference on System Sciences (HICSS 2022)

Mjesto i datum
Havaji, Sjedinjene Američke Države, 04.01.2002. - 07.01.2022

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
aorta analysis ; blood flow simulation ; CFD

Sažetak
Computational fluid dynamics (CFD) modeling of blood flow is significant for obtaining patient- specific hemodynamics information for functional assessment of the cardiovascular system. In this work, we present a framework for fully automatic CFD simulation through the aorta. The proposed framework consists of four main stages: (1) automatic segmentation of the aorta, (2) model generation, (3) mesh creation, and (4) blood flow simulation. In the segmentation part, we utilized a 3D MultiResUnet network for automatic segmentation of organs at risk from the CodaLab SegThor Challenge. After that, we extract ascending and descending aorta and further proceed with model and mesh generation. Finally, we simulate the pressure along the surface of the aorta, the displacement, and the velocity. The entire framework1 was implemented in Python with open-sourced dependencies (Pytorch, VTK, SimVascular, SimpleITK), can be executed from the command line, and does not require user intervention, significantly reducing aorta simulation time.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA