Fusion of local activation time maps and image data to personalize anatomical atrial models

TY - CHAP

T1 - Fusion of local activation time maps and image data to personalize anatomical atrial models

AU - Krueger, Martin W.

AU - Seemann, Gunnar

AU - Rhode, Kawal S.

AU - Weber, Frank M.

AU - Linton, Nick

AU - Williams, Steven

AU - Gill, Jaswinder

AU - Rinaldi, C. Aldo

AU - O'Neill, Mark D.

AU - Razavi, Reza

AU - Dössel, Olaf

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

KW - atrial models

KW - data fusion

KW - patient-specific modeling

UR - http://www.scopus.com/inward/record.url?scp=84879814482&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-38899-6_1

DO - 10.1007/978-3-642-38899-6_1

M3 - Conference paper

AN - SCOPUS:84879814482

SN - 978-3-642-38898-9

VL - 7945 LNCS

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 1

EP - 10

BT - Functional Imaging and Modeling of the Heart

A2 - Ourselin , Sébastien

A2 - Rueckert, Daniel

A2 - Smith, Nicolas

PB - Springer Berlin Heidelberg

T2 - 7th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2013

Y2 - 20 June 2013 through 22 June 2013

ER -