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Estimation of Conductivity Tensors from Human Ventricular Optical Mapping Recordings

  • John Walmsley
  • Gary R. Mirams
  • Igor R. Efimov
  • Kevin Burrage
  • Blanca Rodriguez
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7945)

Abstract

Experimental recordings of transmural activation in the human left ventricle show variability in recorded activation times. In this paper we demonstrate a framework for fitting the conductivity tensor of a monodomain model to reproduce activation times for an individual experiment whilst taking into account uncertainty in the fibre orientation. By directly registering anatomical features onto the difference between simulated and experimental results, we are then able to identify structural heterogeneities which impact on conduction in the left ventricle.

Keywords

Wedge Angle Optical Mapping Helix Angle Conductivity Tensor Endocardial Surface 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • John Walmsley
    • 1
  • Gary R. Mirams
    • 1
  • Igor R. Efimov
    • 2
  • Kevin Burrage
    • 1
    • 3
  • Blanca Rodriguez
    • 1
  1. 1.Department of Computer ScienceUniversity of OxfordOxfordUnited Kingdom
  2. 2.Department of Biomedical EngineeringWashington University in St. LouisSt. LouisUnited States of America
  3. 3.School of Mathematical SciencesQueensland University of TechnologyBrisbaneAustralia

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