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Simulation of cardiac pathologies using an electromechanical biventricular model and XMR interventional imaging

  • Maxime Sermesant
  • , K. Rhode
  • , G. I. Sanchez-Ortiz
  • , O. Camara
  • , R. Andriantsimiavona
  • , S. Hegde
  • , D. Rueckert
  • , P. Lambiase
  • , C. Bucknall
  • , E. Rosenthal
  • , H. Delingette
  • , Derek L.G. Hill
  • , N. Ayache
  • , R. Razavi
  • King's College London School of Biomedical and Health Sciences
  • Imperial College London
  • St Thomas' Hospital
  • I.N.R.I.A.

Research output: Contribution to journalArticlepeer-review

56 Scopus citations

Abstract

Simulating cardiac electromechanical activity is of great interest for a better understanding of pathologies and for therapy planning. Design and validation of such models is difficult due to the lack of clinical data. XMR systems are a new type of interventional facility in which patients can be rapidly transferred between X-ray and MR systems. Our goal is to design and validate an electromechanical model of the myocardium using XMR imaging. The proposed model is computationally fast and uses clinically observable parameters. We present the integration of anatomy, electrophysiology, and motion from patient data. Pathologies are introduced in the model and simulations are compared to measured data. Initial qualitative comparison on the two clinical cases presented is encouraging. Once fully validated, these models will make it possible to simulate different interventional strategies.

Original languageEnglish
Pages (from-to)467-480
Number of pages14
JournalMedical Image Analysis
Volume9
Issue number5 SPEC. ISS.
DOIs
StatePublished - Oct 2005
Externally publishedYes

Keywords

  • Cardiac pathologies
  • Data fusion
  • Electromechanical coupling
  • Electrophysiology study
  • Interventional imaging
  • Patient-specific model

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