@inbook{d5a83d7125484d2781ca4bff381e102b,
title = "Determination of atrial myofibre orientation using structure tensor analysis for biophysical modelling",
abstract = "Myofibre orientation plays an important role in electrical activation patterns in the heart. Biophysical models of the whole atria, however, have not yet incorporated realistic myofibre architecture. In this study, we use structure tensor (ST) analysis to determine myofibre orientation from high resolution micro-computed tomography (micro-CT) images and investigate the role of different ST image processing parameters on the computed fibre orientation fields. We found that, although some parameter sets can lead to non-physiological over- or under-smooth fibre fields, a wide range of values produced atrial fibre orientations that are in good agreement with previous anatomical and histological studies. The computed fibre fields can be incorporated in realistic 3D electrophysiological simulations to study electrical propagation under physiological and pathological conditions in the entire atria.",
author = "Marta Varela and Jichao Zhao and Oleg Aslanidi",
year = "2013",
doi = "10.1007/978-3-642-38899-6_50",
language = "English",
isbn = "9783642388989",
series = "Lecture Notes in Computer Science",
publisher = "Springer Berlin Heidelberg",
pages = "425--432",
editor = "Ourselin, {Sebastian } and Rueckert, {Daniel } and Nicolas Smith",
booktitle = "Functional Imaging and Modeling of the Heart",
}