Quantifying 3D MR fingerprinting (3D‐MRF) reproducibility across subjects, sessions, and scanners automatically using MNI atlases

• Published in: Magnetic resonance in medicine Vol. 91; no. 5; pp. 2074 - 2088
• Main Authors: Dupuis, Andrew, Chen, Yong, Hansen, Michael, Chow, Kelvin, Sun, Jessie E. P., Badve, Chaitra, Ma, Dan, Griswold, Mark A., Boyacioglu, Rasim
• Format: Journal Article
• Language: English
• Published: United States Wiley Subscription Services, Inc 01.05.2024
• Subjects: Automation; Bland Altman; Brain - diagnostic imaging; Datasets; Fingerprinting; Humans; Image Processing, Computer-Assisted - methods; In vivo methods and tests; Magnetic Resonance Imaging - methods; Medical imaging; MR fingerprinting; Neuroimaging; Phantoms, Imaging; precision; Qualitative analysis; quantitative imaging; Regularization; relaxation mapping; repeatability; Reproducibility; Reproducibility of Results; Scanners; quantitative imaging; repeatability; MR fingerprinting; relaxation mapping; Bland Altman; precision

Purpose Quantitative MRI techniques such as MR fingerprinting (MRF) promise more objective and comparable measurements of tissue properties at the point‐of‐care than weighted imaging. However, few direct cross‐modal comparisons of MRF's repeatability and reproducibility versus weighted acquisit...