Gaussian Process Regressions for Inverse Problems and Parameter Searches in Models of Ventricular Mechanics

Gaussian Process Regressions for Inverse Problems and Parameter Searches in Models of Ventricular Mechanics

Patient specific models of ventricular mechanics require the optimization of their many parameters under the uncertainties associated with imaging of cardiac function. We present a strategy to reduce the complexity of parametric searches for 3-D FE models of left ventricular contraction. The study e...

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Bibliographic Details
Main Authors: Paolo Di Achille, Ahmed Harouni, Svyatoslav Khamzin, Olga Solovyova, John J. Rice, Viatcheslav Gurev
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-08-01
Series:Frontiers in Physiology
Subjects:
LV mechanics
FEM
infarct model
unloaded configuration
kriging
inverse optimization
Online Access:https://www.frontiersin.org/article/10.3389/fphys.2018.01002/full

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