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Abstract #4168

Multimodality imaging and computational fluid dynamics framework for quantifying wall shear stress on aortic valve leaflets in aortic stenosis

Minyoung Kim1, Madeline Jankowski1, Jonathan Lindner2, Michael Markl1, James Thomas1, and Jeesoo Lee1
1Northwestern University, Chicago, IL, United States, 2University of Virginia, Charlottesville, VA, United States

Synopsis

Keywords: Valves, Flow

Motivation: Quantifying wall shear stress (WSS) on aortic valve leaflets is crucial for understanding platelet-vWF interactions and assessing the risk of aortic stenosis progression.

Goal(s): Develop a multimodal framework to evaluate WSS on aortic valve leaflets in patients by integrating in-vivo, in-vitro, and in-silico imaging to capture valve morphology and flow velocity for precise WSS quantification.

Approach: The study utilized CT and echocardiography data, performed 4D flow MRI and CFD simulations, validated CFD results against MRI data, and assessed WSS using the CFD simulation outcomes.

Results: CFD results closely matched 4D flow MRI and provided regions of high WSS at the narrowest valve areas.

Impact: This framework enables precise WSS mapping on aortic valve leaflets, supporting better AS progression risk assessment. Future investigations could validate the direct use of in-vivo 4D MRI combined with CFD, improving non-invasive diagnostics and treatment planning in AS patients.

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