Quantitative comparison of two cardiac electrophysiology models using personalisation to optical and MR data
Abstract
In order to translate the important modelling work into clinical tools, the selection of the best model for a given application is crucial. In this paper, we quantitatively compare personalisation of two different cardiac electrophysiology models on the same dataset, in order to help such a selection. One is a phenomenological model, the AlievPanfilov model (1996), and the other one is a simplified ionic model, the Mitchell-Schaeffer model (2003). In the preliminary steps of model personalisation, we optimise the forward problem with the determination of an optimum time integration scheme for each model, which could result in stable and accurate simulations without the use of unnecessary expensive high temporal and spatial resolutions. Next, we personalise the two models by optimising their respective parameters, to match the depolarisation and repolarisation maps obtained ex-vivo from optical imaging of large porcine healthy heart. Last, we compare the personalisation results of the two different models
Keywords
cardiac models
depolarisation
electrophysiology
optical imaging
phenomenological model
porcine healthy heart
repolarisation
spatial resolution
temporal resolution
bioelectric phenomena
biomedical MRI
biomedical optical imaging
cardiology
image resolution
medical image processing
physiological modelsAliev-Panfilov model
MRI
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