Department of Radiology, University of Cambridge
Specialities: MRI sequence design and reconstruction
Tel.: +44 (0)1223 (3)36893
Hao Li completed his PhD in Radiology at the University of Cambridge in 2020, where he continues to work as a Research Associate. In 2016, he obtained a master’s degree in biomedical engineering at Peking University.
He is now involved in the UK Renal Imaging Network (UKRIN) and is working on quantitative kidney MRI techniques, such as T1/T2 mapping, DWI, BOLD and ASL. He has also joined a prostate study funded by Cancer Research UK, which is developing novel microstructural prostate MRI techniques, including VERDICT DWI and Luminal Water Imaging.
During his PhD, he also focused on MR angiography and compressed sensing MRI, particularly on accelerated peripheral non-contrast enhanced MR angiography.
- Quantitative MRI
- Vascular MRI
- Compressed sensing MRI
- Hao Li, Shuo Wang, Martin Graves, David Lomas and Andrew Priest., Subtractive NCE-MRA: Improved Background Suppression Using Robust Regression Based Weighted Subtraction, Magnetic Resonance in Medicine, in press.
- Hao Li, Andrew Priest, Ilse Patterson, Martin Graves and David Lomas., Subtractive Non-Contrast-Enhanced Magnetic Resonance Imaging of Lower Limb Veins using Multiple Flow-Dependent Preparation Strategies, Magnetic Resonance in Medicine, 2019;81:1769–1783.
- Wenjian Huang, Hao Li, et al. A Self-Supervised Strategy for Fully Automatic Segmentation of Renal Dynamic Contrast-Enhanced Magnetic Resonance Images, Medical Physics, 2019, 46(10): 4417:4418.
- Hao Li, Bo Li, et al. Flow Artifact Removal in Carotid Wall Imaging based on Black- and Gray- Blood Dual Contrast Images Subtraction. Magnetic Resonance in Medicine, 2017, 77(4): 1612-1618.
- Hao Li, Shijie Zhang, et al. Ultrasound Intima-media Thickness Measurement of the Carotid Artery using Ant Colony Optimization Combined with a Curvelet-Based Orientation-Selective Filter. Medical Physics, 2016, 43(4): 1795-1807 (Editor selection).