Keywords: Quantitative Imaging, Brain, CRLB optimization, Machine Learning, Fast-Fitting, QuantoRAGE
Motivation: T1 and T2 relaxometry provide valuable information for early pathology detection but require long scan and fitting times for high-resolution whole-brain mapping.
Goal(s): To reduce acquisition and map generation times for simultaneous T1 and T2 mapping.
Approach: The proposed accelerated sequence uses two scans instead of the original four, with parameters optimized using the Cramér-Rao lower bound (CRLB). A neural network fast fitting model is employed to drastically reduce parameter quantification times.
Results: The optimized technique reduced total acquisition time from 18:20 to 9:10 minutes and fitting time from several hours to 2 min for the entire brain.
Impact: Using QuantoRAGE, simultaneous T1 and T2 relaxometry of the whole brain with high isotropic resolution can be acquired in 9 minutes with quantitative maps generated within few seconds per slice. Both aspects bring quantitative MRI closer to clinical applications.
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