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 ...
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.
+
