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A Method to Reconstruct Activation Wavefronts Without Isotropy Assumptions Using a Level Sets Approach

  • Felipe Calderero
  • Alireza Ghodrati
  • Dana H. Brooks
  • Gilead Tadmor
  • Rob MacLeod
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3504)

Abstract

We report on an investigation into using a Level Sets based method to reconstruct activation wavefronts at each time instant from measured potentials on the body surface. The potential map on the epicardium is approximated by a two level image and the inverse problem is solved by evolving a boundary, starting from an initial region, such that a filtered residual error is minimized. The advantage of this method over standard activation-based solutions is that no isotropy assumptions are required. We discuss modifications of the Level Sets method used to improve accuracy, and show the promise of this method via simulation results using recorded canine epicardial data.

Keywords

Time Instant Residual Error Singular Vector Isotropy Assumption Speed Function 
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 2005

Authors and Affiliations

  • Felipe Calderero
    • 1
  • Alireza Ghodrati
    • 2
  • Dana H. Brooks
    • 2
  • Gilead Tadmor
    • 2
  • Rob MacLeod
    • 3
  1. 1.Department of Signal Theory and CommunicationsTechnical University of Catalonia (UPC)BarcelonaSpain
  2. 2.Department of Electrical and Computer EngineeringNortheastern UniversityBostonUSA
  3. 3.Nora Eccles Harrison Cardiovascular Research and Training Institute (CVRTI)University of UtahSalt Lake CityUSA

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