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Abstract #2692

Fast and pseudo-random: optimization of settings for rapid quantification of T1 in white and grey matter at 64 mT

Beatrice Lena1, Rui Pedro Teixeira2, Francesco Padormo2, Yiming Dong1, Pia C Sundgren3,4, Andrew Webb1, and Emil Ljungberg5,6
1C.J. Gorter MRI Center, Radiology Department, Leids Universitair Medisch Centrum, Leiden, Netherlands, 2Hyperfine Inc., Guilford, CT, United States, 3Section of Diagnostic Radiology,Department of Clinical Sciences Lund, Lund University, Lund, Sweden, 4Lund BioImaging Center, Lund University, Lund, Sweden, 5Department of Medical Radiation Physics,, Lund University, Lund, Sweden, 6Department of Neuroimaging, King’s College London, London, United Kingdom

Synopsis

Keywords: Low-Field MRI, Low-Field MRI, Relaxometry

Motivation: Low-field MRI holds promise for efficient diagnostics. T1 mapping is valuable in neuroscience for studying myelination and brain development. To reduce scan time, incoherent, variable density trajectories are often used.

Goal(s): to reach high image quality and T1 accuracy for fast T1 mapping at 64 mT.

Approach: Using the 64-mT, Hyperfine Swoop scanner, we compared T1 maps acquired with fully sampled and undersampled trajectories (with and without incoherence) and reconstructed them with locally low rank regularization at different regularization factors λ.

Results: Our findings showed that the most effective approach involves the use of a customized trajectory with λ around 0.004.

Impact: Since fast and accurate T1 mapping in the context of low-field MRI is achievable, it would now be interesting to study brain developement in children, that present a unique challenge due to movement.

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