Jing Liu

Jing Liu, PhD, is a Professor in the Department of Radiology and Biomedical Imaging at the University of California, San Francisco (UCSF). She holds adjunct faculty roles and leads research in advanced MRI techniques. Her primary focus is developing 3D dynamic MRI methods for cardiovascular imaging, including coronary imaging and cardiac-cine techniques. Dr. Liu's work emphasizes improving scan speed, spatial/temporal resolution, and clinical applicability of MRI.

• Education: BS (Electrical Engineering, University of Science and Technology of China, 2001), MS (Electrical Engineering, McMaster University, 2003), PhD (Electrical Engineering, University of Wisconsin-Madison, 2008).
• Postdoctoral Training: Radiology at Weill Cornell Medical College (2008–2010).

Research interests include 4D MRI, fast imaging protocols, self-gating techniques, non-cartesian data acquisition, compressed sensing, and parallel imaging. She has pioneered methods for reducing scan time and motion artifacts in clinical settings.

Publications reflect her expertise in MRI reconstruction algorithms, cardiac imaging, and automated segmentation. Key contributions include papers on respiratory-resolved 3D cine MRI and non-contrast black blood MRI for abdominal aneurysms.

• Awards: NIH K25 Award (2012–2017), multiple Distinguished Reviewer accolades, and American Heart Association grants.
• Professional Affiliations: International Society for Magnetic Resonance in Medicine, American Heart Association, Society of Cardiovascular Magnetic Resonance.

Liu’s lab focuses on translational MRI technologies. Current projects include 3D multi-contrast MRI for glioma assessment and developing AI-driven segmentation tools for cardiac and vascular imaging.