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

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.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/4168
Primary Topic
Cardiac Valve Diseases and Treatments
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Michael Markl, Jeesoo Lee, Jonathan Lindner, James Thomas et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Cardiac Valve Diseases and Treatments
article

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

Michael Markl, Jeesoo Lee, Jonathan Lindner, James Thomas, Minyoung Kim, Madeline Jankowski
article en

Abstract

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.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 62%
Cardiac Valve Diseases and Treatments
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