Segmentation-Free Super-Resolved 4D flow MRI Reconstruction Exploiting Navier-Stokes Equations and Spatial Regularization-Reference-Cited by-同舟云学术

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Segmentation-Free Super-Resolved 4D flow MRI Reconstruction Exploiting Navier-Stokes Equations and Spatial Regularization

Published:2022-10-16 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Image Processing (ICIP)
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Author:

Levilly Sebastien¹,Moussaoui Said²,Serfaty Jean-Michel¹

Affiliation:

1. Nantes Université,CHU Nantes, CNRS, INSERM, Institut du Thorax,Nantes,France,44000

2. Nantes Université,École Centrale Nantes, CNRS, LS2N,Nantes Cedex 3,France,44321

Funder

Philips

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9897158/9897159/09897988.pdf?arnumber=9897988

Reference18 articles.

1. Variational data assimilation for transient blood flow simulations: Cerebral aneurysms as an illustrative example

2. A Variational Data Assimilation Procedure for the Incompressible Navier-Stokes Equations in Hemodynamics

3. Navier-Stokes-Based Regularization for 4d Flow MRI Super-Resolution

4. Super-resolution and denoising of 4D-Flow MRI using physics-Informed deep neural nets

5. Computational fluid dynamics simulations of blood flow regularized by 3D phase contrast MRI

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