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XIE Zhaoheng

  • Assistant Professor, Doctoral Advisor
  • Institute of Medical Technology, Peking University Health Science Center
    National Biomedical Imaging Center
  • 个人简介
    My major research interests focused on a broad array of new or improved medical imaging techniques, including PET image reconstruction algorithms, kinetic modeling, (Total-body, brain and small animal) PET system design & optimization, and machine learning based medical image processing & analysis.
    In the past ten years, the lab has participated in a series of key research instruments with core researchers: Small animal four-mode (PET/SPECT/CT/Optics) molecular imaging system, the world's first Total-body PET molecular imaging system (EXPLORER), the special brain PET molecular imaging system (NeuroEXPLORE) for the brain project research in the United States, etc. At present, Dr. XIE has published 17 papers in international high-level science journals, more than 20 conference papers, and 8 patents (2 American patents). This work has been republished by several academic media (Science AAAS, Nature news, NIH).
  • 所授课程
    Fundamentals of Imaging Principles and Devices (Compulsory, 3.5 credits)
  • 获奖及荣誉
    Young Investigator Award (1st place) Winners, Society of Nuclear Medicine and Molecular Imaging (SNMMI), Henry N. Wagner Best Paper Award of SNMMI, Travel award of IEEE NSS/MIC and Fully 3D
  • 个人履历
    2022 –Present Assistant Professor (Tenure-track)
    Institute of Medical Technology / (Adjunt) National Biomedical Imaging Center , Peking University, Beijing, China

    2018 –2022 Postdoc.
    Dept. Biomedical Engineering, University of California, Davis, USA

    2012 –2017 Ph. D.
    Dept. Biomedical Engineering, Peking University, China

    2008 –2012 Bachelor
    Dept. of Electronics science and technology, Xi’an Jiaotong University, China
  • 代表性论文及论著
    1. Kang, Y., Zhai, X., Lu, S., Vuletic, I., Wang, L., Zhou, K., ... & Xie, Z. (2022). A Hybrid Imaging Platform (CT/PET/FMI) for Evaluating Tumor Necrosis and Apoptosis in Real-Time. Frontiers in oncology, 12.
    2. Xie, Z., Li, T., Zhang, X., Qi, W., Asma, E. and Qi, J.*, 2021. Anatomically aided PET image reconstruction using deep neural networks. Medical Physics. 48(9), pp. 5244-5258.
    3. Xie, Z., Baikejiang, R., Li, T., Zhang, X., Gong, K., Zhang, M., Qi, W., Asma, E. and Qi, J.*, 2020. Generative adversarial network based regularized image reconstruction for PET. Physics in Medicine & Biology, 65(12), p.125016.
    4. Zhang, X., Cherry, S.R., Xie, Z., Shi, H., Badawi, R.D. and Qi, J.*, 2020. Subsecond total-body imaging using ultrasensitive positron emission tomography. Proceedings of the National Academy of Sciences, 117(5), pp.2265-2267.
    5. Zhang, X., Xie, Z., Berg, E., Judenhofer, M.S., Liu, W., Xu, T., Ding, Y., Lv, Y., Dong, Y., Deng, Z. and Tang, S., Cherry, S., Badawi, R. and Qi, J.*, 2020. Total-body dynamic reconstruction and parametric imaging on the uEXPLORER. Journal of Nuclear Medicine, 61(2), pp.285-291.
    6. Xie, Z., Li, S., Zhou, K., Vuletic, I., Meng, X., Zhu, S., Xu, H., Yang, K., Xu, B., Zhang, J. and Ren, Q.*, 2018. PKU-PET-II: A novel SiPM-based PET imaging system for small animals. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 877, pp.104-111.