Uncertainty quantification of acceleration-induced 4D Flow MRI variability propagation into image-based computational aortic hemodynamics

2026-07-30

Tianai Wang *

Levi Juhl

Theresa Degreif

Shuo Zhang

Teresa Lemainque

Michael Neidlin

DOI：10.1016/j.compbiomed.2026.111881

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• The framework quantifies uncertainty in accelerated MRI-CFD workflows. • Reliability of derived results depends on the metric evaluated. • Higher-order metric uncertainties may exceed inter-subject variability. • Clinical interpretation must consider intrinsic sensitivity of each metric. • Metric selection should balance robustness and clinical scan time constraints.

Keywords:

4D flow MRI

Computational fluid dynamics

Uncertainty quantification

Aortic hemodynamics

Uncertainty quantification of acceleration-induced 4D Flow MRI variability propagation into image-based computational aortic hemodynamics

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