INSA LYON

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 challenging area: cardio-thoracic vasculature. We propose to develop a highly undersampled radial-based 4D/5D Flow MRI sequence using a complete investigation of all aspects of development: simulation of MR physics, prototyping and implementation, and advanced physics-informed deep learning-based image reconstruction. The strength of the proposal lies in this comprehensive approach that will allow us to overcome current limitations. In collaboration with clinicians, experts in cardiovascular pathologies, we will explore the feasibility and added value of our proposed method in a clinical setting.

Visuel: 
Laboratoires: 
Dates projet: 
De 10/2024 hasta 12/2028
Financement: 
Contact: 
bruno.sixou@insa-lyon.fr
Coordinateur: 
INSA Lyon
Responsable INSA: 
Bruno SIXOU
Sous-Titre: 
Exploring radial sampling strategies for fast and reliable flow measurements in MRI by combining realistic numerical simulations and advanced deep learning-based image reconstruction
Montant global du projet: 
470292' €'
Chapo: 
Are numerical simulations and deep learning useful to improve the study of blood flow with Flow MRI?