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Abstract #2733

3D Free-breathing T1, T2, T2* and PDFF mapping in the kidneys with Dictionary-Patch regularized Low Rank Motion Corrected Rosette MRF

Gastao Cruz1, Evan Cummings1, Tom Griesler1, Jesse Hamilton1, Vikas Gulani1, Matthew Davenport1, and Nicole Seiberlich1
1Radiology, University of Michigan, Ann Arbor, MI, United States

Synopsis

Keywords: MR Fingerprinting, MR Fingerprinting, Kidney motion correction

Motivation: We aim to develop 3D multi-property mapping for quantitative tissue characterization of the kidneys, enabling objective evaluation of focal disease.

Goal(s): To achieve whole-kidney coverage mapping of T1, T2, T2* and PDFF in a single free-breathing scan.

Approach: 3D free-breathing stack-of-rosettes MRF data were acquired and reconstructed with Low Rank Motion Correction, regularized with a dictionary-patch based approach (LRMC-DP).

Results: The proposed 3D free-breathing LRMC-DP MRF framework reduces respiratory motion artefacts, improving precision over conventional Low Rank MRF and producing similar T1/T2/T2*/PDFF maps to standard 2D breath-held MOLLI, T2prep-bSSFP and 6-echo GRE. In one patient, benign cysts were identified with the proposed LRMC-DP.

Impact: 3D mapping of T1/T2/T2*/PDFF over the whole kidney is feasible with the proposed LRMC-DP in a single ~9 minute free-breathing scan. This method could enable objective characterization of focal diseases in the kidney, such as the classification of indeterminate masses.

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Keywords