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Learning patient‐specific parameters for a diffuse interface glioblastoma model from neuroimaging data

Agosti, A. ; Ciarletta, P. ; Garcke, H. ; Hinze, M.


Parameters in mathematical models for glioblastoma multiforme (GBM) tumour growth are highly patient specific. Here, we aim to estimate parameters in a Cahn-Hilliard type diffuse interface model in an optimised way using model order reduction (MOR) based on proper orthogonal decomposition (POD). Based on snapshots derived from finite element simulations for the full-order model (FOM), we use POD ...


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