Motion-compensated low-rank reconstruction for simultaneous structural and functional UTE lung MRI

Fei Tan1,2, Xucheng Zhu1,2,3, Marilynn Chan4

  • 1UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, Berkeley and University of California, San Francisco, San Francisco, California, USA.

Summary

This study introduces motion-compensated low-rank reconstruction (MoCoLoR) to improve 3D UTE MRI lung imaging by reducing motion artifacts and enhancing signal-to-noise ratio (SNR) for better functional lung assessment.

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