A Rule-Based method to model myocardial fiber orientation for simulating ventricular outflow tract arrhythmias

Doste Beltrán, Rubén; Soto-Iglesias, David; Bernardino Perez, Gabriel; Sebastián Aguilar, Rafael, 1978-; Giffard-Roisin, Sophie; Cabrera-Lozoya, Rocío; Sermesant, Maxime; Berruezo Sánchez, Antonio; Sánchez-Quintana, Damián; Camara, Oscar

doi:http://dx.doi.org/10.1007/978-3-319-59448-4_33

A Rule-Based method to model myocardial fiber orientation for simulating ventricular outflow tract arrhythmias

Citation

Doste R, Soto-Iglesias D, Bernardino G, Sebastian R, Giffard-Roisin S, Cabrera-Lozoya R, Sermesant M, Berruezo A, Sánchez-Quintana D, Camara O. A Rule-Based method to model myocardial fiber orientation for simulating ventricular outflow tract arrhythmias. In: Pop M, Wright GA, editors. Functional Imaging and Modelling of the Heart 9th International Conference, FIMH 2017 Proceedings; 2017 11-13 Jun; Toronto, Canada. Cham: Springer; 2017. p. 344-53. (LNCS; no. 10263). DOI: 10.1007/978-3-319-59448-4_33

Abstract

Myocardial fiber orientation determines the propagation of electrical waves in the heart and the contraction of cardiac tissue. One common approach for assigning fiber orientation to cardiac anatomi- cal models are Rule-Based Methods (RBM). However, RBM have been developed to assimilate data mostly from the Left Ventricle. In conse- quence, fiber information from RBM does not match with histological data in other areas of the heart, having a negative impact in cardiac simulations beyond the LV. In this work, we present a RBM where fiber orientation is separately modeled in each ventricle following observations from histology. This allows to create detailed fiber orientation in specific regions such as the right ventricle endocardium, the interventricular sep- tum and the outow tracts. Electrophysiological simulations including these anatomical structures were then performed, with patient-specific data of outow tract ventricular arrhythmias (OTVA) cases. A compar- ison between the obtained simulations and electro-anatomical data of these patients confirm the potential for in silico identification of the site of origin in OTVAs before the intervention.