FRANÇAIS
A showcase of ÉTS researchers’ publications and other contributions
SEARCH

Automatic stent fitting using CFD estimates of hemodynamic parameters for pulmonary artery stenosis

Downloads

Downloads per month over past year

Jordi Oller, Xavier, Gundelwein, Lina, Miro, Joaquim et Duong, Luc. 2016. « Automatic stent fitting using CFD estimates of hemodynamic parameters for pulmonary artery stenosis ». In Joint MICCAI-Workshops on Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting (CVII-STENT) (Athens, Grece, Oct. 17-21, 2016)

[img]
Preview
PDF
Duong L 2016 15120 Automatic stent fitting using CFD estimates.pdf - Accepted Version
Use licence: All rights reserved to copyright holder.

Download (1MB) | Preview

Abstract

The role of stenting is to restore the blood flow, hence reducing cardiac effort which, in terms of hemodynamics, implies a lower pressure gradient between both sides of the stenosis. Determining the geometry and position of a stent is one of the most sensitive tasks when planning a pulmonary artery stenosis intervention. The goal of this study is to automatically determine the position and geometry of the deployed stent using hemodynamic parameters computed from computational fluid dynamics (CFD). The first step is segmentation and 3D modeling of the pulmonary artery from the patient’s computed tomography angiography (CTA) scan. Afterwards, the artery’s centerline is extracted and the stenosis location detected. Finally, a set of stenting solutions is generated and the pressure gradient calculated for each of them. The gradient calculations are performed by means of Lattice-Boltzmann CFD simulations, which are well suited for complex geometries and are comparatively efficient in terms of execution time. The minimum gradient value will constitute the optimal stent placement. This study showed that an improvement of 60% and 23% of the pressure gradient could be obtained by placing optimally the stent.

Item Type: Conference proceeding
Professor:
Professor
Duong, Luc
Affiliation: Génie logiciel et des technologies de l'information
Date Deposited: 20 Apr 2017 18:03
Last Modified: 05 Feb 2019 19:59
URI: http://espace2.etsmtl.ca/id/eprint/15120

Actions (login required)

View Item View Item