TY - GEN
T1 - Electrophysiology model for a human heart with ischemic scar and realistic Purkinje network
AU - Lassila, Toni
AU - Lange, Matthias
AU - Porras Perez, Antonio R.
AU - Lekadir, Karim
AU - Albà, Xènia
AU - Piella, Gemma
AU - Frangi, Alejandro F.
N1 - Funding Information:
This research has been partially funded by the Industrial and Technological Development Center (CDTI) under the CENIT-cvREMOD program. The work of A.R. Porras and X. Albà was supported by the Spanish Government under FPU grant. A.F. Frangi was partially funded by the ICREA-Academia program. Clinical data used in this study was provided by A. Berruezo, D. Andreu, J. Fernández-Armenta, and M. Sitges from the Hospital Clinic of Barcelona.
Publisher Copyright:
© Springer International Publishing Switzerland 2016.
PY - 2016
Y1 - 2016
N2 - The role of Purkinje fibres in the onset of arrhythmias is controversial and computer simulations may shed light on possible arrhythmic mechanisms involving the Purkinje fibres. However, few computational modelling studies currently include a detailed Purkinje network as part of the model. We present a coupled Purkinje-myocardium electrophysiology model that includes an explicit model for the ischemic scar plus a detailed Purkinje network, and compare simulated activation times to those obtained by electro-anatomical mapping in vivo during sinus rhythm pacing. The results illustrate the importance of using sufficiently dense Purkinje networks in patient-specific studies to capture correctly the myocardial early activation that may be influenced by surviving Purkinje fibres in the infarct region.
AB - The role of Purkinje fibres in the onset of arrhythmias is controversial and computer simulations may shed light on possible arrhythmic mechanisms involving the Purkinje fibres. However, few computational modelling studies currently include a detailed Purkinje network as part of the model. We present a coupled Purkinje-myocardium electrophysiology model that includes an explicit model for the ischemic scar plus a detailed Purkinje network, and compare simulated activation times to those obtained by electro-anatomical mapping in vivo during sinus rhythm pacing. The results illustrate the importance of using sufficiently dense Purkinje networks in patient-specific studies to capture correctly the myocardial early activation that may be influenced by surviving Purkinje fibres in the infarct region.
UR - http://www.scopus.com/inward/record.url?scp=84955237377&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-28712-6_10
DO - 10.1007/978-3-319-28712-6_10
M3 - Conference contribution
AN - SCOPUS:84955237377
SN - 9783319287119
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 90
EP - 97
BT - Statistical Atlases and Computational Models of the Heart
A2 - Rhode, Kawal
A2 - Camara, Oscar
A2 - Young, Alistair
A2 - Mansi, Tommaso
A2 - Sermesant, Maxime
A2 - Pop, Mihaela
PB - Springer-Verlag Italia
T2 - 6th International Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2015
Y2 - 9 October 2015 through 9 October 2015
ER -