Leveraging noise and contrast simulation for the automatic quality control of routine clinical T1-weighted brain MRI

Sophie Loizillon (1, 2, 3, 4) , Stéphane Mabille (1, 2, 4) , Simona Bottani (1, 2, 4) , Yannick Jacob (5) , Aurélien Maire (5) , Sebastian Ströer (5) , Didier Dormont (4) , Olivier Colliot (4) , Ninon Burgos (4, 1) , Apprimage Study Group

1 ICM - Institut du Cerveau = Paris Brain Institute
2 SU - Sorbonne Université
3 INSERM - Institut National de la Santé et de la Recherche Médicale
4 ARAMIS - Algorithms, models and methods for images and signals of the human brain = Algorithmes, modèles et méthodes pour les images et les signaux du cerveau humain [ICM Paris]
5 AP-HP - Assistance publique - Hôpitaux de Paris (AP-HP)

Mots clés: Quality Control; Clinical Data Warehouse; Transfer Learning; MRI; Noise; Contrast; Motion

Domaines: Informatique [cs]

Sophie Loizillon, Stéphane Mabille, Simona Bottani, Yannick Jacob, Aurélien Maire, et al.. Leveraging noise and contrast simulation for the automatic quality control of routine clinical T1-weighted brain MRI. SPIE Medical Imaging 2024: Image Processing, Feb 2024, San Diego (CA), United States. ⟨hal-04674029⟩