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Sub-voxel Perfusion Modeling in Terms of Coupled 3d-1d Problem

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Numerical Mathematics and Advanced Applications ENUMATH 2017 (ENUMATH 2017)

Abstract

We study perfusion by a multiscale model coupling diffusion in the tissue and diffusion along the one-dimensional segments representing the vasculature. We propose a block-diagonal preconditioner for the model equations and demonstrate its robustness by numerical experiments. We compare our model to a macroscale model by Tofts [Modelling in DCE MRI, 2012].

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Notes

  1. 1.

    Let x ∈ Γ and C R(x) be a circular crossection of the vessel surface with a plane defined by the tangent vector of Γ at x. The surface avarage Π R u of u is then defined by

    $$\displaystyle \begin{aligned} (\varPi_R u)(x) = \lvert C_R(x) \rvert ^{-1}\int_{C_R(x)} u(y)\,\mathrm{d}y. \end{aligned}$$
  2. 2.

    Note that in (2) and (1) the constraint/coupling is defined in terms of a surface averaging operator Π R.

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Correspondence to Kent-André Mardal .

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Holter, K.E., Kuchta, M., Mardal, KA. (2019). Sub-voxel Perfusion Modeling in Terms of Coupled 3d-1d Problem. In: Radu, F., Kumar, K., Berre, I., Nordbotten, J., Pop, I. (eds) Numerical Mathematics and Advanced Applications ENUMATH 2017. ENUMATH 2017. Lecture Notes in Computational Science and Engineering, vol 126. Springer, Cham. https://doi.org/10.1007/978-3-319-96415-7_2

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