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  • Hao Li
  • Research Direction: Magnetic resonance angiography, Quantitative MRI, Image processing and analysis
  • Email:h_li@fudan.edu.cn
  • Website:
  • Brief Introduction:Dr Hao Li completed his PhD in Radiology at the University of Cambridge in 2020, where he continued to work as a Research Associate until March 2022. His research focuses on the advancement of MRI techniques, including non-contrast-enhanced MR angiography, quantitative MRI and whole body MRI at ultra-high-field strengths. Dr Li has published more than 20 papers in leading journals, and his research has won best presentation awards at the SMRA 2018 meeting and the ISMRM 2020 meeting. He is now leading 3 projects from National Natural Science Foundation of China and Shanghai Pujiang Talent Program. He is also a visiting researcher at Department of Radiology, University of Cambridge.
  • Achievement:

    1. Li H, A Daniel, C Buchanan et al., Improvements in Between-Vendor Harmonization of Renal T2 Mapping using Stimulated Echo Compensation, J. Magn Reson Imaging, 2024.

    2. Li H, AN Priest, IH Menih et al., Fast and High-resolution T2 Mapping Based on Echo Merging Plus k-t Undersampling with Reduced Refocusing Flip Angles (TEMPURA) as Methods for Human Renal MRI, Magn Reson Med, 2024.

    3. Li S, Wang L, Priest AN, Horvat-Menih I, Mendichovszky IA, Gallagher FA, Wang H, Li H. Highly Accelerated Parameter Mapping Using Model-Based Alternating Reconstruction Coupling Fitting, Phys. Med. Biol, 2024.

    4. Horvat-Menih I, Li H, et al., High-resolution and highly accelerated T2 mapping as a novel tool to characterize renal tumour subtypes and grades, European Radiology Experimental, Eur. Radiol. Exp, 2024.

    5. Li H, Graves MJ, Shaida N, Prashar A, Lomas DJ, Priest AN. Highly accelerated subtractive femoral non-contrast-enhanced MRA using compressed sensing with k-space subtraction, phase and intensity correction. Magn Reson Med. 2021;86(1):320-334.

    6. Li H, Wang S, Graves MJ, Lomas DJ, Priest AN. Subtractive NCE-MRA: Improved background suppression using robust regression-based weighted subtraction. Magn Reson Med. 2020;(June):1-15.

    7. Li H, Priest AN, Patterson I, Graves MJ, Lomas DJ. Subtractive non‐contrast‐enhanced MRI of lower limb veins using multiple flow‐dependent preparation strategies. Magn Reson Med. 2019;81(3):1769-1783.

    8. Li H, Li B, Huang W, Dong L, Zhang J. Flow artifact removal in carotid wall imaging based on black and gray-blood dual-contrast images subtraction. Magn Reson Med. 2017;77(4):1612-1618.