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New Resource for T2 and T1ρ Mapping of Knee Cartilage

Imaging researchers at NYU Langone are making available new, improved approach to optimizing pulse sequences for magnetization-prepared gradient echo MRI.

Scientists at the Center for Advanced Imaging Innovation and Research are sharing MATLAB scripts for learned magnetization-prepared gradient echo (L-MPGRE) pulse sequences used in T2 and T1ρ mapping of knee cartilage.

L-MPGRE relies on a two-level machine learning approach to automatically find the parameters of an MR pulse sequence with user-specified performance criteria, such as accuracy or signal-to-noise ratio.

The research team behind this approach has found that compared to other sequences commonly used for T2 and T1ρ mapping, pulse sequences learned with L-MPGRE can deliver higher-quality data in half the time (a manuscript detailing the findings is currently in review).


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