Fusion of optical imaging and MRI for the evaluation and adjustment of macroscopic models of cardiac electrophysiology: A feasibility study

Mihaela Pop, Maxime Sermesant, Damien Lepiller, Michael V. Truong, Elliot R. McVeigh, Eugene Crystal, Alexander Dick, Herve Delingette, Nicholas Ayache, Graham A. Wright

Research output: Contribution to journalArticlepeer-review

23 Scopus citations

Abstract

The aim of this work was to demonstrate the correspondence between a macroscopic 3D computer model of electrophysiology (i.e., the Aliev-Panfilov model) parametrized with MR data and experimental characterization of action potential propagation in large porcine hearts, ex vivo, using optical methods (based on voltage-sensitive fluorescence). A secondary goal was to use one of these studies to demonstrate an optimized method for regional adjustment of critical model parameters (i.e., adjustment of the local conductivity from the isochronal maps obtained via optical images). There was good agreement between model behaviour and experiment using fusion of optical and MR data, and model parameters from previous work in the literature. Specifically, qualitative comparison between computed and measured activation maps gave good results. Adjustment of the conductivity parameter within 26 regions fitting data from the current experiments in one heart reduced absolute error in local depolarization times by a factor of 3 (i.e. from 30 to 10 ms).

Original languageEnglish (US)
Pages (from-to)370-380
Number of pages11
JournalMedical Image Analysis
Volume13
Issue number2
DOIs
StatePublished - Apr 2009

Keywords

  • Computer modelling
  • Electrophysiology
  • MRI
  • Optical imaging

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Radiology Nuclear Medicine and imaging
  • Health Informatics
  • Radiological and Ultrasound Technology

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