Navier-Stokes-Based Regularization for 4d Flow MRI Super-Resolution
Author:
Affiliation:
1. Nantes Université,CHU Nantes, CNRS, INSERM, Institut du Thorax,Nantes,France
2. Nantes Université,École Centrale Nantes, CNRS, LS2N,Nantes,France
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9761376/9761399/09761510.pdf?arnumber=9761510
Reference17 articles.
1. Computational fluid dynamics simulations of blood flow regularized by 3D phase contrast MRI
2. A Variational Data Assimilation Procedure for the Incompressible Navier-Stokes Equations in Hemodynamics
3. Variational data assimilation for transient blood flow simulations: Cerebral aneurysms as an illustrative example
4. Super-resolution and denoising of 4D-Flow MRI using physics-Informed deep neural nets
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2. Segmentation-Free Super-Resolved 4D flow MRI Reconstruction Exploiting Navier-Stokes Equations and Spatial Regularization;2022 IEEE International Conference on Image Processing (ICIP);2022-10-16
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