Analysis of Thermovisual Data of the Radio-Frequency Impact on the Myocardium Damage

  • Authors:

  • Vincentas Veikutis;Gintautas Dzemyda;Povilas Treigys;Kristina Morkūnaitė;Algidas Basevičius;Saulius Lukoševičius;Gintarė Šakalytė;Antanas Sederevičius

  • Affiliations:

  • Institute for Biomedical Research of Kaunas University of Medicine, Eivenių 4, LT-3007 Kaunas, Lithuania;Institute of Mathematics and Informatics, Akademijos 4, LT-08663 Vilnius, Lithuania;Institute of Mathematics and Informatics, Akademijos 4, LT-08663 Vilnius, Lithuania;Institute of Cardiology of Kaunas University of Medicine, Eivenių 4, LT-3007 Kaunas, Lithuania;Department of Radiology of Kaunas University of Medicine, Eivenių 2, LT-3007 Kaunas, Lithuania;Department of Radiology of Kaunas University of Medicine, Eivenių 2, LT-3007 Kaunas, Lithuania;Department of Cardiology of Kaunas University of Medicine, Eivenių 2, LT-3007 Kaunas, Lithuania;Lithuanian Veterinary Academy, Tilžės 18, LT-471813 Kaunas, Lithuania, e-mail: treigys@ktl.mii.lt

  • Venue:
  • Informatica
  • Year:
  • 2010

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Abstract

In this article, a method is proposed for analysing the thermovision-based video data that characterize the dynamics of temperature anisotropy of the heart tissue in a spatial domain. Many cardiac rhythm disturbances at present time are treated by applying destructive energy sources. One of the most common source and the related methodology is to use radio-frequency ablation procedure. However, the rate of the risk of complications including arrhythmia recurrence remains enough high. The drawback of the methodology used is that the suchlike destruction procedure cannot be monitored by visual spectra and results in the inability to control the ablation efficiency. To the end of understanding the nature of possible complications and controlling the treating process, the means of thermovision could be used. The aim of the study was to analyse possible mechanisms of these complications, measure and determine optimal radio-frequency ablation parameters, according to the analysis of video data, acquired using thermovision.