Fast parameter inference in a biomechanical model of the left ventricle by using statistical emulation

A central problem in biomechanical studies of personalized human left ventricular modelling is estimating the material properties and biophysical parameters from in vivo clinical measurements in a timeframe that is suitable for use within a clinic. Understanding these properties can provide insight...

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Veröffentlicht in:	Journal of the Royal Statistical Society Series C: Applied Statistics 2019-11, Vol.68 (5), p.1555-1576
Hauptverfasser:	Davies, Vinny, Noè, Umberto, Lazarus, Alan, Gao, Hao, Macdonald, Benn, Berry, Colin, Luo, Xiaoyu, Husmeier, Dirk
Format:	Artikel
Sprache:	eng
Schlagworte:	Biomechanics Computational efficiency Computer simulation Emulation Gaussian process Gaussian processes Heart function Holzapfel–Ogden constitutive law In vivo methods and tests Inference Interpolation Kinematics Left ventricle heart model Magnetic resonance imaging Material properties Mathematical models Myocardium Numerical integration Optimization Original Parameters Partial differential equations Precision medicine Simulation Statistical inference
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