Title
Fusion of local activation time maps and image data to personalize anatomical atrial models
Abstract
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.
Year
DOI
Venue
2013
10.1007/978-3-642-38899-6_1
FIMH
Keywords
Field
DocType
local activation time map,image data,anatomical atrial model,better understanding,atrial activation source,atrial activation,common cardiac arrhythmia,af patient,personalized atrial model,bsp map,atrial activation pattern
Atrial fibrillation,Intracardiac injection,Atrium (architecture),Cardiac arrhythmia,Internal medicine,Cardiology,Sensor fusion,Right atrium,Sinus rhythm,Medicine,Patient-Specific Modeling
Conference
Volume
ISSN
Citations 
7945
0302-9743
0
PageRank 
References 
Authors
0.34
6
11
Name
Order
Citations
PageRank
Martin W. Krueger19813.35
Gunnar Seemann221248.50
Kawal S. Rhode375978.72
F M Weber48812.08
Nick Linton500.34
Steven C R Williams624524.98
Jaswinder Gill7858.47
C. Aldo Rinaldi822821.98
Mark D. O'Neill9114.35
Reza Razavi1092994.25
Olaf Dössel1126456.10