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Personalized computational finite element models for left atrial electromechanics

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posted on 2021-09-13, 18:33 authored by 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
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.

History

Data collection from date

2015-07-06

Data collection to date

2015-11-02

Language

English

Copyright owner

Thomas E Fastl, King's College London; Catalina Tobon-Gomez, King's College London; Andrew Crozier, Medical University of Graz; John Whitaker, King's College London; Ronak Rajani, King's College London; Karen P McCarthy, Royal Brompton Hospital; Damian Sanchez-Quintana, University of Extremadura; Siew Y Ho, Royal Brompton Hospital; Mark D O'Neill, King's College London; Gernot Plank, Medical University of Graz; Martin J Bishop, King's College London; Steven A Niederer, King's College London

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