Comparative evaluation of different emulators for cardiac mechanics

Dalton, D., Lazarus, A. and Husmeier, D. (2020) Comparative evaluation of different emulators for cardiac mechanics. In: Ladde, G. and Noelle, S. (eds.) Proceedings of the 2nd International Conference on Statistics: Theory and Applications (ICSTA'20). Avestia Publishing: Ottawa, Canada, p. 126. ISBN 9781927877685 (doi: 10.11159/icsta20.126)

Abstract

This paper outlines a comparison of different emulation based approaches to the task of parameter inference in a biomechanical model of the left ventricle of the heart, where the emulation models can account for variations in left ventricle geometry. Models considered include Gaussian processes, neural networks and random forests. We are able to achieve accurate parameter estimation for two of the model parameters, while the extension of statistical emulation to the multi geometry case allows us to observe identifiability issues in some of the model parameters. This was not observed in our previous single geometry emulation studies. Overall, this study shows the ability to generalize the single geometry emulation strategy to multiple geometries, pushing us closer towards in clinic decision support systems.

• Item Type: Book Sections
• Status: Published
• Glasgow Author(s) Enlighten ID: Husmeier, Professor Dirk and Dalton, David and Lazarus, Mr Alan
• Authors: Dalton, D., Lazarus, A., and Husmeier, D.
• Subjects: Q Science > QA Mathematics
• College/School: College of Science and Engineering > School of Mathematics and Statistics > Statistics; College of Science and Engineering > School of Mathematics and Statistics
• Publisher: Avestia Publishing
• ISBN: 9781927877685
• Copyright Holders: Copyright © 2020 International ASET Inc.
• First Published: First published in Proceedings of the 2nd International Conference on Statistics: Theory and Applications (ICSTA'20): 126
• Publisher Policy: Reproduced in accordance with the publisher copyright policy

Project Code	Award No	Project Name	Principal Investigator	Funder's Name	Funder Ref	Lead Dept
303232		EPSRC Centre for Multiscale soft tissue mechanics with MIT and POLIMI (SofTMech-MP)	Xiaoyu Luo	Engineering and Physical Sciences Research Council (EPSRC)	EP/S030875/1	M&S - Mathematics
305655		Inference of cardio-mechanical parameters in real time: moving mathematical modelling into the clinic	Dirk Husmeier	The Royal Society of Edinburgh (ROYSOCED)	62335	M&S - Statistics