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Abstract #0066

High resolution free-breathing respiratory-resolved volumetric lung imaging at 0.55T using stack-of-spiral out-in bSSFP

Ziwei Zhao1, Bilal Tasdelen1, Nam G. Lee2, and Krishna S. Nayak1,2
1Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, United States, 2Biomedical Engineering, University of Southern California, Los Angeles, CA, United States

Synopsis

Keywords: Lung, Lung, Low-Field MRI, Data Sampling and Reconstruction, Non-Cartesian Trajectory

Motivation: High resolution free-breathing structural lung imaging at 0.55T has been demonstrated using bSSFP half-radial dual-echo imaging with constrained reconstruction within ~10-min scan time.

Goal(s): To develop faster high-resolution free-breathing lung imaging using spiral sampling.

Approach: We employ a stack-of-spirals out-in trajectory with constrained reconstruction along with pilot-tone based respiratory navigation.

Results: Structural lung imaging is demonstrated with 2mm isotropic resolution, 5-7 respiratory states, and 5-7 min scan time. 3D ventilation maps are demonstrated, showing -3.1% ~ 70.2% lung capacity during normal and deep breathing.

Impact: Free-breathing SoSOi can provide simultaneous structural and functional lung imaging at 0.55T within a 5-min scan, with improved sampling efficiency and lower undersampling factor compared to bSTAR. This has implications for the evaluation of lung function and chronic lung diseases.

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Keywords