Shape-driven deep neural networks for fast acquisition of aortic 3D pressure and velocity flow fields

Shape-driven deep neural networks for fast acquisition of aortic 3D pressure and velocity flow fields

Computational fluid dynamics (CFD) can be used to simulate vascular haemodynamics and analyse potential treatment options. CFD has shown to be beneficial in improving patient outcomes. However, the implementation of CFD for routine clinical use is yet to be realised. Barriers for CFD include high co...

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Bibliographic Details
Main Authors: Capelli, C. (Author), Montalt-Tordera, J. (Author), Muthurangu, V. (Author), Pajaziti, E. (Author), Quail, M. (Author), Sauvage, E. (Author), Schievano, S. (Author), Sivera, R. (Author)
Format: Article
Language:English
Published: NLM (Medline) 2023
Subjects:
artificial neural network
biological model
blood flow velocity
Blood Flow Velocity
computer simulation
Computer Simulation
hemodynamics
Hemodynamics
human
Humans
hydrodynamics
Hydrodynamics
Models, Cardiovascular
Neural Networks, Computer
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