Uncertainty analysis of ventricular mechanics using the probabilistic collocation method

IEEE Transactions on Bio-medical Engineering
H Osnes, J Sundnes

Abstract

Uncertainty and variability in material parameters are fundamental challenges in computational biomechanics. Analyzing and quantifying the resulting uncertainty in computed results with parameter sweeps or Monte Carlo methods has become very computationally demanding. In this paper, we consider a stochastic method named the probabilistic collocation method, and investigate its applicability for uncertainty analysis in computing the passive mechanical behavior of the left ventricle. Specifically, we study the effect of uncertainties in material input parameters upon response properties such as the increase in cavity volume, the elongation of the ventricle, the increase in inner radius, the decrease in wall thickness, and the rotation at apex. The numerical simulations conducted herein indicate that the method is well suited for the problem of consideration, and is far more efficient than the Monte Carlo simulation method for obtaining a detailed uncertainty quantification. The numerical experiments also give interesting indications on which material parameters are most critical for accurately determining various global responses.

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Citations

Oct 18, 2015·International Journal for Numerical Methods in Biomedical Engineering·V G EckWouter Huberts
Dec 28, 2012·IEEE Transactions on Bio-medical Engineering·Christian SchmidtUrsula van Rienen
Jan 12, 2019·International Journal for Numerical Methods in Biomedical Engineering·Rocío Rodríguez-CantanoMarie E Rognes
Mar 2, 2019·Computer Methods in Biomechanics and Biomedical Engineering·S KallhovdS T Wall
Apr 27, 2019·Biomechanics and Modeling in Mechanobiology·Joventino O CamposBernardo M Rocha
May 26, 2020·Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences·J O CamposB M Rocha
Feb 7, 2021·Journal of Molecular and Cellular Cardiology·Kimberly J McCabe, Padmini Rangamani
Feb 19, 2021·International Journal for Numerical Methods in Biomedical Engineering·Stefano Pagani, Andrea Manzoni
Jul 24, 2021·Biomedical Engineering Online·Ekaterina KovachevaAxel Loewe

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