6533b83afe1ef96bd12a7aa0
RESEARCH PRODUCT
A rule‐based method to model myocardial fiber orientation in cardiac biventricular geometries with outflow tracts
David Soto-iglesiasOscar CamaraMaxime SermesantAntonio BerruezoDamián Sánchez-quintanaSophie Giffard-roisinGabriel BernardinoRafael SebastianAlejandro AlcaineRuben Dostesubject
FOS: Computer and information sciencesmedicine.medical_specialtyHeart VentriclesBiomedical EngineeringFOS: Physical sciencesVolume mesh030204 cardiovascular system & hematology[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]030218 nuclear medicine & medical imagingComputational Engineering Finance and Science (cs.CE)03 medical and health sciences0302 clinical medicineRule-based methodInternal medicine[INFO.INFO-IM]Computer Science [cs]/Medical ImagingmedicineHumansComputer SimulationElectrophysiological simulationsInterventricular septumOutflow tractComputer Science - Computational Engineering Finance and ScienceMolecular BiologyEndocardiumFiber (mathematics)Orientation (computer vision)MyocardiumApplied MathematicsFiber orientationOutflow tract ventricular arrhythmiaModels CardiovascularRule-based systemSeptumMagnetic Resonance Imaging[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationPhysics - Medical PhysicsElectrophysiological Phenomenamedicine.anatomical_structureComputational Theory and MathematicsVentricleModeling and Simulationcardiovascular systemCardiologyOutflowMedical Physics (physics.med-ph)SoftwareGeologydescription
Rule-based methods are often used for assigning fiber orientation to cardiac anatomical models. However, existing methods have been developed using data mostly from the left ventricle. As a consequence, fiber information obtained from rule-based methods often does not match histological data in other areas of the heart such as the right ventricle, having a negative impact in cardiac simulations beyond the left ventricle. In this work, we present a rule-based method 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 endocardium of the right ventricle, the interventricular septum and the outflow tracts. We also carried out electrophysiological simulations involving these structures and with different fiber configurations. In particular, we built a modelling pipeline for creating patient-specific volumetric meshes of biventricular geometries, including the outflow tracts, and subsequently simulate the electrical wavefront propagation in outflow tract ventricular arrhythmias with different origins for the ectopic focus. The resulting simulations with the proposed rule-based method showed a very good agreement with clinical parameters such as the 10 ms isochrone ratio in a cohort of nine patients suffering from this type of arrhythmia. The developed modelling pipeline confirms its potential for an in silico identification of the site of origin in outflow tract ventricular arrhythmias before clinical intervention. This work was partially funded by the European Union under the Horizon 2020 Programme for Research, Innovation (grant agreement No. 642676 CardioFunXion)
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2019-03-07 | International Journal for Numerical Methods in Biomedical Engineering |