Pranav Bhagirath

161 Computing volume potentials for noninvasive imaging of cardiac excitation General-purpose mesh generation tools can generate high quality volume meshes in a matter of seconds for an arbitrarily complex segmentation result, provided that the segmentation contains no topological errors. Fast generation of volume meshes and FEM solutions with generally available means has brought computation of BVP as part of non-invasive imaging of cardiac excitation within practical clinical reach. This route will further be explored, hoping to gain direct and visual insight in the sources of inaccuracies, including the so called“ill conditioning” of the inverse problem, in the required number of electrodes, numbers of less than 20 to more than 200 currently being advocated in literature [19-20], and in the optimal placement of these electrodes in individual patients. CONCLUSION This study illustrates that efficient generation of high quality volume meshes and computation of BVP with a resolution of 5 mm is feasible using generally available software and hardware. With the computational effort decreasing dramatically, estimation of BVP may be seasonable when the number of model compartments is high or when anisotropic conductivity is modelled. Observing the potential field everywhere in the thorax may lead to an improved understanding of the genesis of BSP and sources of local inaccuracies. In the near future, computation of BVP for non-invasive imaging of cardiac excitation may evolve towards clinical application.