Abstract
A technology for high-resolution efficient numerical modeling of bioimpedance measurements is considered that includes 3D image segmentation, adaptive unstructured tetrahedral mesh generation, finite-element discretization, and the analysis of simulation data. The first-order convergence of the proposed numerical methods on a series of unmatched meshes and roughly second order convergence on a series of nested meshes are shown. Sensitivity field distributions for a conventional tetrapolar, as well as eight- and ten-electrode measurement configurations are obtained.
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Danilov, A.A., Kramarenko, V.K., Yurova, A.S. (2014). Modelling of Bioimpedance Measurements: Application to Sensitivity Analysis. In: Zhang, Y.J., Tavares, J.M.R.S. (eds) Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications. CompIMAGE 2014. Lecture Notes in Computer Science, vol 8641. Springer, Cham. https://doi.org/10.1007/978-3-319-09994-1_33
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DOI: https://doi.org/10.1007/978-3-319-09994-1_33
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