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Abstract #1646

Towards synthetic T2-weighted imaging based on multiple acquisition bSSFP at 0.55T

Kübra Keskin1, Bochao Li2, and Krishna S. Nayak1
1Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, United States, 2Alfred E. Mann Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, United States

Synopsis

Keywords: Low-Field MRI, Low-Field MRI, bSSFP, phase-cycling, Quantitative Imaging, Relaxometry, Synthetic MRI

Motivation: Low-field MRI systems offer excellent image quality and SNR-efficiency with balanced-SSFP. T2 contrast remains a major unmet need when using bSSFP.

Goal(s): To develop a multi-acquisition bSSFP-based method for synthetic T2-weighted imaging suitable for mid- and low-field strengths including 0.55T.

Approach: We leverage the geometric properties of the bSSFP signal, with six phase-cycles and two flip angles, to estimate T2,T1,M0 on a voxel-wise basis. We evaluate performance through simulations, ISMRM/NIST phantom experiments, and T2-weighted brain imaging at 0.55T.

Results: The proposed method demonstrates negligible-bias in T2-estimation for GM(<8 ms) and WM(<4 ms) in MC simulations when SNR>50, and enables synthetic T2-weighted images.

Impact: We demonstrate synthetic T2-weighted imaging based on multiple bSSFP acquisitions, and voxel-wise estimation of NMR parameters. This could be useful for relaxometry and synthetic imaging at mid and low-field strengths where bSSFP performance is favorable.

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Keywords