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Abstract #1688

Optimization of 3D MR Fingerprinting with Cramér-Rao Lower Bound and Smooth Signal Evolutions for Efficient T1, T2, and T1ρ in the knee joint

Marcelo Victor Wust Zibetti1, Hector Lise De Moura1, Anmol Monga1, and Ravinder Regatte1
1Radiology, NYU Langone Health, New York, NY, United States

Synopsis

Keywords: MR Fingerprinting, Acquisition Methods

Motivation: 3D-MR fingerprinting (3D-MRF) is effective for knee joint applications, especially with simultaneous T1, T2, and T1ρ mapping. However, the accuracy of the relaxation parameters and undersampling artifacts need to be addressed.

Goal(s): Optimize 3D MRF, particularly flip angles (FAs) and spin lock times (TSLs), to enhance parameter quality while reducing undersampling artifacts.

Approach: We combined Cramér-Rao Lower Bound (CRLB) optimization with a smoothness penalty in signal evolution.

Results: Our preliminary findings show significant reductions in undersampling artifacts and improved parameter quality, closer to nominal values with NIST/ISMRM system phantom comparisons.

Impact: This optimized 3D-MRF sequence can improve quantitative mapping in the knee joint, with more quantitative accuracy, due to CRLB optimization, and reduced undersampling artifacts, due to smooth signal evolutions.

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Keywords