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Abstract #0919

Improved Liver T1, T2, T2*, and PDFF Mapping at 0.55T Using Rosette MRF with Optimized Sequence Design and Deep Image Reconstruction

Tom Griesler1,2, Evan Cummings1,2, Gastao Cruz2, Matthew S Davenport2,3, Hero K Hussain2, Jesse Hamilton1,2, and Nicole Seiberlich1,2
1Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States, 2Radiology, University of Michigan, Ann Arbor, MI, United States, 3Urology, University of Michigan, Ann Arbor, MI, United States

Synopsis

Keywords: MR Fingerprinting, MR Fingerprinting, Deep Image Prior, Sequence Optimization, 0.55T

Motivation: Quantitative liver imaging at 0.55T suffers from poor precision due to lower SNR and suboptimal acquisitions.

Goal(s): Increase the precision of liver MRF T1/T2/T2*/PDFF mapping at 0.55T through sequence optimization and Deep Image Prior (DIP) reconstruction.

Approach: The Cramer-Rao Bound was used to design a magnetization-prepared MRF sequence for 2D liver imaging at 0.55T. Raw data were reconstructed using an extension of the DIP framework for multiecho MRF data.

Results: Sequence optimization and DIP reconstruction each increased the precision of relaxation time estimation. Combining both approaches reduced the standard deviation by 63%/78%/65% for T1/T2/T2* compared to an unoptimized sequence with a low-rank reconstruction.

Impact: Sequence optimization and DIP reconstruction improved the precision of quantitative liver imaging with MRF at 0.55T, potentially enabling liver health assessment in patients who cannot be scanned on higher-field MRI due to accessibility, implantable device, or body size restrictions.

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Keywords