Personalized computational finite element models for left atrial electromechanics

Dataset

Description

Retrospective analysis of 3 patient cases who underwent coronary computed tomography angiography at Guy’s and St Thomas’ NHS Foundation Trust was performed to generate computational models suitable for electromechanical finite element simulations. Therefore, images were segmented using a statistics-based approach and the smoothed voxel representations were discretized into high-resolution tetrahedral finite element meshes. The complex atrial myofiber architectures were estimated on the endo- and epicardial surfaces according to anatomical and morphological data utilizing a Laplace-based algorithm and subsequently interpolated to all tetrahedral elements using a 2-layer interpolation function. Related publication: Thomas E Fastl, Catalina Tobon-Gomez, Andrew Crozier, John Whitaker, Ronak Rajani, Karen P McCarthy, Damian Sanchez-Quintana, Siew Y Ho, Mark D O'Neill, Gernot Plank, Martin J Bishop, Steven A Niederer. Personalized computational modeling of left atrial geometry and transmural myofiber architecture. Medical Image Analysis, 2018, https://doi.org/10.1016/j.media.2018.04.001.
Date made available9 Apr 2018
PublisherKing's College London

Cite this