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A Computational Framework for Pre-Interventional Planning of Peripheral Arteriovenous Malformations.

Gaia FranzettiMirko BonfantiCyrus TanadeChung Sim LimJanice TsuiGeorge HamiltonVanessa Díaz-ZuccariniStavroula Balabani
Published in: Cardiovascular engineering and technology (2021)
The study demonstrates that the haemodynamic effects of the embolisation procedure can be simulated from routinely acquired clinical data via a porous medium with varying permeability as evidenced by the good qualitative agreement between numerical predictions and both in vivo and in vitro data. It provides a fundamental building block towards a computational treatment-planning framework for AVM embolisation.
Keyphrases
  • electronic health record
  • big data
  • systematic review
  • endothelial cells
  • minimally invasive
  • machine learning
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  • metal organic framework
  • deep learning