Atrial fibrillation (AF) is the most common cardiac arrhythmia. Patient-specific computational modeling of the atria can provide a better understanding about mechanisms underlying the arrhythmia and will potentially be used for model-based ablation therapy evaluation and planning. Electrical excitation spreads from the left to the right atrium at discrete locations. The location of the muscular bridges cannot be determined from image data. In the present study, left atrial activation sources were manually identified in local activation time maps of 4 AF patients. This information was used to adjust rule-based placed interatrial bridges in anatomical atrial models of the patients. Sinus rhythm simulations showed a better qualitative agreement to the measured left atrial activation patterns after the adjustment of the bridges. For one patient, the simulated body surface potential (BSP) pattern after the adjustment correlated better to measured BSP maps. The results show that the fusion of intracardiac electrical measurements of early left atrial activation can be used to refine patient atria models with information of the myocardial structure which cannot be imaged. In future, such personalized atrial models may be used to support EP interventions.
Original languageEnglish
Title of host publicationFunctional Imaging and Modeling of the Heart
Subtitle of host publication7th International Conference, FIMH 2013, London, UK, June 20-22, 2013. Proceedings
EditorsSébastien Ourselin , Daniel Rueckert, Nicolas Smith
PublisherSpringer Berlin Heidelberg
Number of pages10
Volume7945 LNCS
ISBN (Electronic)978-3-642-38899-6
ISBN (Print)978-3-642-38898-9
Publication statusPublished - 2013
Event7th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2013 - London, United Kingdom
Duration: 20 Jun 201322 Jun 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7945 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349


Conference7th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2013
Country/TerritoryUnited Kingdom


  • atrial models
  • data fusion
  • patient-specific modeling


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