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RMN DE FLUX

RAPIDFLOW

Submitted by Elena Manea on Mon, 01/13/2025 - 13:36
Keywords: 
HEMODYNAMIQUE
RMN DE FLUX
Exploring radial sampling strategies for fast and reliable flow measurements in MRI by combining realistic numerical simulations and advanced deep learning-based image reconstruction
Project Leader: 
INSA Lyon
INSA’s scientific leader: 
Bruno SIXOU

The goal of the project is to provide clinicians a fast and reliable, velocity quantification method to explore abnormal blood flow in the most anatomically

INSA Challenge: 
Santé Globale et Bioingénierie
Partners: 
UNIVERSITÉ DE MONTPELLIER
CNRS
Funding Institution: 
ANR
Dates - Duration: 
2024-10-01 00:00:00 to 2028-12-01 00:00:00
Funding: 
470292
Contact: 
bruno.sixou@insa-lyon.fr
Chapo: 
Are numerical simulations and deep learning useful to improve the study of blood flow with Flow MRI?