AIMS: This computational study examined the influence of fibre orientation on the electrical processes in the heart. In contrast to similar previous studies, human diffusion tensor magnetic resonance imaging measurements were used. METHODS: The fibre orientation was extracted from distinctive regions of the left ventricle. It was incorporated in a single tissue segment having a fixed geometry. The electrophysiological model applied in the computational units considered transmural heterogeneities. Excitation was computed by means of the monodomain model; the accompanying pseudo-electrocardiograms (ECGs) were calculated. RESULTS: The distribution of fibre orientation extracted from the same transversal section showed only small variations. The fibre information extracted from the equal circumferential but different longitudinal positions showed larger differences, mainly in the imbrication angle. Differences of the endocardial myocyte orientation mainly affected the beginning of the activation sequence. The transmural propagation was faster in areas with larger imbrication angles leading to a narrower QRS complex in pseudo-ECGs. CONCLUSION: The model can be expanded to simulate electrophysiology and contraction in the whole heart geometry. Embedded in a torso model, the impact of fibre orientation on body surface ECGs and their relation to local pseudo-ECGs can be identified.
AIMS: This computational study examined the influence of fibre orientation on the electrical processes in the heart. In contrast to similar previous studies, human diffusion tensor magnetic resonance imaging measurements were used. METHODS: The fibre orientation was extracted from distinctive regions of the left ventricle. It was incorporated in a single tissue segment having a fixed geometry. The electrophysiological model applied in the computational units considered transmural heterogeneities. Excitation was computed by means of the monodomain model; the accompanying pseudo-electrocardiograms (ECGs) were calculated. RESULTS: The distribution of fibre orientation extracted from the same transversal section showed only small variations. The fibre information extracted from the equal circumferential but different longitudinal positions showed larger differences, mainly in the imbrication angle. Differences of the endocardial myocyte orientation mainly affected the beginning of the activation sequence. The transmural propagation was faster in areas with larger imbrication angles leading to a narrower QRS complex in pseudo-ECGs. CONCLUSION: The model can be expanded to simulate electrophysiology and contraction in the whole heart geometry. Embedded in a torso model, the impact of fibre orientation on body surface ECGs and their relation to local pseudo-ECGs can be identified.
Authors: Dulciana D Chan; Katherine C Wu; Zak Loring; Loriano Galeotti; Gary Gerstenblith; Gordon Tomaselli; Robert G Weiss; Galen S Wagner; David G Strauss Journal: Am J Cardiol Date: 2014-03-02 Impact factor: 2.778
Authors: Alessio Gizzi; Elizabeth M Cherry; Robert F Gilmour; Stefan Luther; Simonetta Filippi; Flavio H Fenton Journal: Front Physiol Date: 2013-04-19 Impact factor: 4.566
Authors: Katerina Hnatkova; Irena Andršová; Ondřej Toman; Peter Smetana; Katharina M Huster; Martina Šišáková; Petra Barthel; Tomáš Novotný; Georg Schmidt; Marek Malik Journal: Sci Rep Date: 2021-02-22 Impact factor: 4.379