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Fiber Angle Stimulation II - Distribution
\n\nAuthor: Laura Marx\ \ laura.marx@medunigraz.at\n<h2 id=\"introduction\">Introduction\n
The\ \ aim of this tutorial is to study the effect of changes in fiber orientation on\ \ the electrical behavior of cardiac tissue. Generally, electrical properties of\ \ the myocardial tissue can be described by the bidomain model accounting for the\ \ intracellular and extracellular domain. The domains are of anisotropic nature,\ \ the intracellular domain even more so than the extracellular domain resulting\ \ in ''unequal anisotropy ratios'' affecting the heart's electrical behavior causing\ \ two effects ''rotation'' and ''distribution''. This tutorial focuses on the ''distribution''\ \ effect, which refers to the relative conductivity of the intracellular and extracellular\ \ domains. As current takes the path of least resistance more current will flow\ \ in the domain where conductivity is the highest. The relative amount of current\ \ in the two spaces is defined by their respective anisotropy ratios.<a href=\"\
fn1\" class=\"footnote-ref\" id=\"fnref1\" role=\"doc-noteref\">1\n\
<h2 id=\"experimental-setup\">Experimental Setup\n
The setup is identical\ \ to the setup in the ''Fiber Angle Stimulation I - rotation'' tutorial, except\ \ a gradual change in fiber orientation along x is implemented.
\nA 2D strip\ \ of infinite length of width <span class=\"math inline\">\(W=10\) mm is\ \ given. The fiber angle varies from <span class=\"math inline\">\(\alpha = 90^{\\ circ}\) to <span class=\"math inline\">\(\alpha = 0^{\circ}\)\ \ over the length of the strip. (marked as dotted gray lines in Fig. below). Conductivities\ \ are given as <span class=\"math inline\">\(g{iL} = 0.2\) S/m, <span\ \ class=\"math inline\">\(g{iT} = 0.02\) S/m, <span class=\"math inline\"\
\(g{eL} = 0.2\) S/m and <span class=\"math inline\">\(g{eT} = 0.08\\ ) S/m where L and T indicate directions along and transverse to the fiber\ \ orientation, respectively (Anisotropy ratios are unequal!). The tissues membrane\ \ surface-to-volume ratio and the resistance are given as <span class=\"math inline\"\ \(\beta = 0.14\mu m^{-1}\) and <span class=\"math inline\">\(R_{m}\ \ = 0.91 \Omega m^{2}\).
\n\nFor numerical analysis we assume that the length L\ \ of the strip is not infinite, but <span class=\"math inline\">\(L\gg\lambda\\ ). For the data given choosing L=60mm should suffice. The spatial resolution\ \ should be used as height of the strip (only one layer of 3D elements). Thus, a\ \ hexahedral FE model with dimensions of 60mm x 10mm x 1mm is generated functioning\ \ as cardiac tissue strip. An orthotropic fiber setup may be used if the sheet angle\ \ differs from <span class=\"math inline\">\(0^\circ\). As passive ionic\ \ model the modified Beeler-Router Druhard-Roberge model as implemented in LIMPET\ \ is used with <span class=\"math inline\">\(R{m}\) set to <span class=\"\ math inline\">\(0.91 \Omega m^{2}\) and <span class=\"math inline\">\\ (\beta = 0.14\mu m^{-1}\). Current <span class=\"math inline\">\(\mathbf{J}\\ ) is injected by Electrode A at x=-L/2 in x-direction and withdrawn by electrode\ \ B at x=+L/2. Electrode C is located at x=0 and can be gounded or not.
\nUnequal\ \ anisotropy is assigned using the following values:
\n<div class=\"sourceCode\"\ \ id=\"cb1\"><pre class=\"sourceCode bash\"><code class=\"sourceCode bash\"><span\ \ id=\"cb1-1\"><a href=\"#cb1-1\" aria-hidden=\"true\"><span class=\"ex\">gregion[0].g_il\ \ = 0.2\n<span id=\"cb1-2\"><a href=\"#cb1-2\" aria-hidden=\"true\"\ <span class=\"ex\">gregion[0].g_it = 0.02\n<span id=\"\ cb1-3\"><a href=\"#cb1-3\" aria-hidden=\"true\"><span class=\"ex\">gregion[0].g_in\ \ = 0.02\n<span id=\"cb1-4\"><a href=\"#cb1-4\" aria-hidden=\"true\"\ <span class=\"ex\">gregion[0].g_el = 0.2\n<span id=\"\ cb1-5\"><a href=\"#cb1-5\" aria-hidden=\"true\"><span class=\"ex\">gregion[0].g_et\ \ = 0.08\n<span id=\"cb1-6\"><a href=\"#cb1-6\" aria-hidden=\"true\"\ <span class=\"ex\">gregion[0].g_en = 0.08\n\The simulation is solved using the parabolic formulation of the bidomain equations\ \ with the Crank-Nicolson method.