Abstract #1808

Random Matrix Theory reconstruction for T1 quantification on a field-cycling scanner for B0 ranging between 2-200mT

Gregory Lemberskiy^1,2, 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

Synopsis

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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