Personalized modeling pipeline for left atrial electromechanics

TY - CHAP

T1 - Personalized modeling pipeline for left atrial electromechanics

AU - Fastl, Thomas

AU - Tobon Gomez, Catalina

AU - Crozier, William A.

AU - Whitaker, John

AU - Rajani, Ronak

AU - McCarthy, Karen P.

AU - Sanchez-Quintana, Damian

AU - Ho, Siew Y.

AU - O'Neill, Mark

AU - Plank, Gernot

AU - Bishop, Martin J.

AU - Niederer, Steven

PY - 2017/3/1

Y1 - 2017/3/1

N2 - Atrial fibrillation (AF) is a supraventricular tachyarrhythmia characterized by uncoordinated atrial activation with consequent deterioration of mechanical function. Personalized computational modeling provides a novel framework for integrating and interpreting the combined role of atrial electrophysiology and mechanics in AF development and sustenance. Coronary computed tomography angiography data were segmented using a threshold-based approach and the smoothed voxel representation was dis-cretized into a high-resolution tetrahedral finite element (FE) mesh. To estimate the complex left atrial fiber architecture, individual fiber fields were generated according to morphological data on the endo- and epicardial surfaces based on local solutions of Laplace's equation and trans-murally interpolated to all tetrahedral elements. Personalized geometrical models included the heterogeneous thickness distribution of the left atrial myocardium and subsequent discretization led to high-fidelity tetrahedral FE meshes. The novel algorithm for (automated) incorporation of the left atrial fiber architecture provided a realistic estimate of the atrial microstructure and was able to qualitatively capture all important fiber bundles. The established modeling pipeline provides a robust framework for the rapid development of personalized model cohorts and facilitates simulations of atrial electromechanics.

AB - Atrial fibrillation (AF) is a supraventricular tachyarrhythmia characterized by uncoordinated atrial activation with consequent deterioration of mechanical function. Personalized computational modeling provides a novel framework for integrating and interpreting the combined role of atrial electrophysiology and mechanics in AF development and sustenance. Coronary computed tomography angiography data were segmented using a threshold-based approach and the smoothed voxel representation was dis-cretized into a high-resolution tetrahedral finite element (FE) mesh. To estimate the complex left atrial fiber architecture, individual fiber fields were generated according to morphological data on the endo- and epicardial surfaces based on local solutions of Laplace's equation and trans-murally interpolated to all tetrahedral elements. Personalized geometrical models included the heterogeneous thickness distribution of the left atrial myocardium and subsequent discretization led to high-fidelity tetrahedral FE meshes. The novel algorithm for (automated) incorporation of the left atrial fiber architecture provided a realistic estimate of the atrial microstructure and was able to qualitatively capture all important fiber bundles. The established modeling pipeline provides a robust framework for the rapid development of personalized model cohorts and facilitates simulations of atrial electromechanics.

UR - http://www.scopus.com/inward/record.url?scp=85016120656&partnerID=8YFLogxK

M3 - Other chapter contribution

AN - SCOPUS:85016120656

VL - 43

SP - 225

EP - 228

BT - Computing in Cardiology Conference, CinC 2016

PB - IEEE Computer Society

T2 - 43rd Computing in Cardiology Conference, CinC 2016

Y2 - 11 September 2016 through 14 September 2016

ER -