4D segmentation of the thoracic aorta from 4D flow MRI using deep learning.
Fiche publication
Date publication
janvier 2023
Journal
Magnetic resonance imaging
Auteurs
Membres identifiés du Cancéropôle Est :
Pr COCHET Alexandre
Tous les auteurs :
Marin-Castrillon DM, Lalande A, Leclerc S, Ambarki K, Morgant MC, Cochet A, Lin S, Bouchot O, Boucher A, Presles B
Lien Pubmed
Résumé
4D flow MRI allows the analysis of hemodynamic changes in the aorta caused by pathologies such as thoracic aortic aneurysms (TAA). For personalized management of TAA, new biomarkers are required to analyze the effect of fluid structure iteration which can be obtained from 4D flow MRI. However, the generation of these biomarkers requires prior 4D segmentation of the aorta.
Mots clés
4D flow MRI, Deep learning, Segmentation, Thoracic aortic aneurysm
Référence
Magn Reson Imaging. 2023 01 5;: