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Explore how MRI combined with dynamic scaling techniques accurately measures coronary artery flow, validating computational flow modeling in cardiovascular studies.
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Flow measurements in up-scaled bifurcation models using MRI Susann Beier John Ormiston, Mark Webster, Brett Cowan,Pau Medrano-Graciaand Alistair Young
Background • MRI is the state-of-the-art for measuring vascular flow but is limited in coronaries • Computer flow modelling is preferred but must be validated • MRI spatial limitations can be overcome with up-scaled phantom flow acquisition Computational flow modelling Experimental flow modelling
Background • Law of Dynamic Similarity describes IDENTICAL flow systems on different prototype scales • Commonly used in Engineering, e.g. Aeroplane design • Scaling in vitro flow and phantom reproduces accurate coronary artery flow Law of Dynamic Similarity
Methods Large phantom 4D flow MRI • CTA vessel geometry was virtually up-scaled and 3D printed • Phantom was incorporated into a non-Newtonian fluid flow circuit • Phantom flow was measured with MRI Non-Newtonian fluid
Results Idealised Stented Patient-specific CFD • Tested various geometries • CFD and MRI agreed well in velocity magnitude • CFD and MRI agreed also well velocity direction MRI r2=0.87 r2=0.88 r2=0.91
Results diff Patient-specific geometry CFD MRI • Complex flow features were captured in whole 3D volume
Conclusions • Dynamically scaled in vitro MRI flow can accurately assess coronary flow • Stent induced flow alterations can be measured • Validates CFD and may provide boundary conditions
Acknowledgements Co-investigators John Ormiston, Mark Webster, Alistair Young, Pau Medrano-Gracia, and Brett Cowan Funding Auckland Heart Group Charitable Trust