Abstract #3825

Making MR more accessible through precision quantitative MRI at 0.55T with optimized 3D MRF

Xiaozhi Cao¹, Congyu Liao¹, Zheren Zhu², Zhitao Li¹, Rupsa Bhattacharjee², Mark Nishmura³, Zhixing Wang^4,5, Nan Wang¹, Sharmila Majumdar², Javier Villanueva-Meyer², Yang Yang², and Kawin Setsompop^1,3

¹Department of Radiology, Stanford University, Stanford, CA, United States, ²Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, United States, ³Department of Electrical Engineering, Stanford University, Stanford, CA, United States, ⁴Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, United States, ⁵Department of Radiation Oncology, City of Hope National Cancer Center, Los Angeles, CA, United States

Synopsis

Keywords: Quantitative Imaging, MR Fingerprinting

Motivation: To enable high-resolution quantitaive imaging in economy-friendly 0.55T scanners.

Goal(s): MRF with 1.2-mm isotropic resolution implemented on a FreeMax 0.55T scanner.

Approach: MRF, subspace reconstructio, locally-low rank constraints, CRLB-optimized FA pattern, attention-based deep learning network for denoisig, trajectory correction, motion correction.

Results: The proposed method was validated on phantom, in-vivo human brain and knee.

Impact: Our research highlights the potential of affordable MRI scanners to deliver high-quality imaging.

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