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research-article

Using Contrast Motion to Generate Patient Specific Blood Flow Simulations during Invasive Coronary Angiography

[+] Author and Article Information
Sergiy Zhuk

IBM Research, Dublin, Ireland
sergiy.zhuk@ie.ibm.com

Olivia Smith

IBM Research, Melbourne, Australia
livsmith21@gmail.com

Vikas Thondapu

Massachusetts General Hospital, Division of Cardiology, Boston, USA
vthondapu@mgh.harvard.edu

Kerry Halupka

IBM Research, Melbourne, Australia
kerry.halupka@gmail.com

Stephen Moore

IBM Research Australia, Level 22, 60 City Rd, Southbank, VIC 3006, Australia
stevemoore@au1.ibm.com

1Corresponding author.

ASME doi:10.1115/1.4044095 History: Received September 17, 2018; Revised June 10, 2019

Abstract

Virtual Fractional Flow Reserve is an emerging technology employing patient specific Computational Fluid Dynamics simulations to infer the hemodynamic significance of a coronary stenosis. Patient specific boundary conditions are an important aspect of this approach and while most efforts make use of lumped parameter models to capture key phenomena, they lack the ability to specify the associated parameters on a patient specific basis. When applying vFFR in a catheter laboratory setting using X-Ray angiograms as the basis for creating the simulations, there is some indirect functional information available through the observation of the radio-opaque contrast agent motion. In this work, we present a novel method for tuning the lumped parameter arterial resistances, based on simulating the physics of the contrast motion and comparing the observed and simulated arrival times of the contrast front at key points within a coronary tree. We present proof of principle results on a synthetically generated coronary tree comprised of multiple segments, demonstrating that the method can successfully optimise the arterial resistances to reconstruct the underlying velocity and pressure fields, providing a potential new means to improve the patient specificity of simulation-based technologies in this area.

Copyright (c) 2019 by ASME
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