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Communication Dans Un Congrès Année : 2022

Cerebral Venous Blood Flow Model Enhanced with Flow-MRI Data Assimilation

Résumé

In this paper a framework is presented to enhance numerical model of cerebral venous blood flow using flow-MRI data assimilation. The goal of the technique developed here is to use a parametric PDE model to catch the physical behavior and use observations to correct the model and obtain more realistic simulations.
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Dates et versions

hal-04104522 , version 1 (24-05-2023)

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  • HAL Id : hal-04104522 , version 1

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Pierre Mollo, Olivier Balédent, Guillaume Dollé, Stéphanie Salmon. Cerebral Venous Blood Flow Model Enhanced with Flow-MRI Data Assimilation. 7th International Conference Computational and Mathematical Biomedical Engineering (CMBE) 2022, Jun 2022, Milan, Italy. pp.300-303. ⟨hal-04104522⟩
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