Random Matrix Theory reconstruction for T1 quantification on a field-cycling scanner for B0 ranging between 2-200mT
Gregory Lemberskiy1,2, Vasiliki Mallikourti3, Dmitry S Novikov1, and Lionel M Broche3
1Radiology, New York University Grossman School of Medicine, New York, NY, United States, 2Microstructure Imaging INC, New York, NY, United States, 3Aberdeen Biomedical Imaging Centre, University of Aberdeen, Aberdeen, United Kingdom
We showcase high SNR T1 maps over a range of low field strengths on a stroke patient imaged using a field-cycling imaging scanner (FCI), an MR system capable of varying B0 over 2 orders of magnitude. Images from this scanner are denoised using Random Matrix Theory (RMT), leveraging the redundancy over multiple inversion times and field strengths to increase the baseline SNR by 3-fold. Following RMT denoising, we observe the T1 dispersion effect indicating a deviation of R1 frequency dependence from the BPP theory.
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