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Abstract #1867

Free-Breathing Lung MR Fingerprinting at 0.55T with Retrospective Respiratory Motion Binning

Zexuan Liu1, Nicole Seiberlich1,2, and Jesse Hamilton1,2
1Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States, 2Department of Radiology, University of Michigan, Ann Arbor, MI, United States

Synopsis

Keywords: Lung, Low-Field MRI, Respiratory motion resolved; Deep Image Prior

Motivation: Quantitative mapping may enable early detection/monitoring of pulmonary diseases, with free-breathing imaging essential for patients with compromised lung capacity.

Goal(s): This work aims to develop free-breathing 2D lung MR Fingerprinting T1, T2, and M0 mapping at 0.55T with respiratory self-navigation.

Approach: Data were acquired in three healthy subjects using a 30-second free-breathing MRF sequence at 0.55T with respiratory self-navigation Respiratory motion-resolved maps were obtained using a Deep Image Prior reconstruction.

Results: Free-breathing 0.55T lung MRF was successful in all subjects, yielding average values of 645±123ms (inspiration) and 638±129ms (expiration) for T1, and 42±2ms (inspiration), and 44±2ms (expiration) for T2.

Impact: This work demonstrates feasibility of free-breathing lung MR Fingerprinting for respiratory motion-resolved 2D T1, T2 and M0 mapping at 0.55T in healthy subjects, which may have potential clinical applications to pulmonary conditions, such as emphysema, COPD, and interstitial lung diseases.

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Keywords