Abstract #4413

In silico uncertainty quantification of the wall shear stress computed from phase-contrast 4d flow measurements.

Constanza Gaínza^1,2, Daniele E Schiavazzi³, and Carlos A Sing-Long^1,2,4,5,6

¹Institute for Mathematical and Computational Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile, ²Millennium Nucleus Center for the Discovery of Structure in Complex Data, Santiago, Chile, ³Department of Applied and Computational Mathematics and Statistics, University of Notre Dame, Notre Dame, IN, United States, ⁴Institute for Biological and Medical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile, ⁵Millennium Nucleus for Cardiovascular Magnetic Resonance, Santiago, Chile, ⁶Biomedical Imaging Center, Pontificia Universidad Católica de Chile, Santiago, Chile

Synopsis

The wall shear stress (WSS) is a relevant biomarker associated with the rupture of atherosclerotic plaques that can be computed from blood flow velocity measurements. We study the effect of noise velocity on the quantification of the WSS with a focus on the spatial correlations that may arise. We perform in silico experiments in which we consider a Hagen-Poiseuille flow and two noise distributions. Our results show evidence on the existence of spatial correlations in the WSS even when the velocity noise is uncorrelated.

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