Journal Highlight: Dynamically scaled phantom phase contrast MRI compared to true-scale computational modeling of coronary artery flow

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  • Published: Oct 24, 2016
  • Author: spectroscopyNOW
  • Channels: MRI Spectroscopy
thumbnail image: Journal Highlight: Dynamically scaled phantom phase contrast MRI compared to true-scale computational modeling of coronary artery flow
The feasibility of combining computational fluid dynamics and dynamically scaled phantom phase-contrast magnetic resonance imaging for coronary flow assessment has been examined.

Dynamically scaled phantom phase contrast MRI compared to true-scale computational modeling of coronary artery flow

Journal of Magnetic Resonance Imaging, 2016, 44, 983-992
Susann Beier, John A. Ormiston, Mark W. Webster, John E. Cater, Stuart E. Norris, Pau Medrano-Gracia, Alistair A. Young and Brett R. Cowan

Abstract: The feasibility of combining computational fluid dynamics (CFD) and dynamically scaled phantom phase-contrast magnetic resonance imaging (PC-MRI) for coronary flow assessment has been examined. Left main coronary bifurcations segmented from computed tomography with bifurcation angles of 33°, 68°, and 117° were scaled-up ∼7× and 3D printed. Steady coronary flow was reproduced in these phantoms using the principle of dynamic similarity to preserve the true-scale Reynolds number, using blood analog fluid and a pump circuit in a 3T MRI scanner. After PC-MRI acquisition, the data were segmented and coregistered to CFD simulations of identical, but true-scale geometries. Velocities at the inlet region were extracted from the PC-MRI to define the CFD inlet boundary condition. The PC-MRI and CFD flow data agreed well, and comparison showed: 1) small velocity magnitude discrepancies (2–8%); 2) with a Spearman's rank correlation ≥0.72; and 3) a velocity vector correlation (including direction) of r2 ≥ 0.82. The highest agreement was achieved for high velocity regions with discrepancies being located in slow or recirculating zones with low MRI signal-to-noise ratio (SNRv) in tortuous segments and large bifurcating vessels. Characterization of coronary flow using a dynamically scaled PC-MRI phantom flow is feasible and provides higher resolution than current in vivo or true-scale in vitro methods, and may be used to provide boundary conditions for true-scale CFD simulations.

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