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Lei Ren, PhD

Adjunct Professor in the Department of Radiation Oncology
Office: 04209 Radiation Physics, P.O. Box 3295 DUMC, Durham, NC 27710
Campus Mail: DUMC Box 3295 Med Ctr, Durham, NC 27710

Dr. Ren's research interests include imaging dose reduction using digital tomosynthesis (DTS), cone-beam CT (CBCT) scatter correction, novel DTS/CBCT/MRI image reconstruction methods using prior information and motion modeling, deformable image registration, image synthesis, image augmentation, 4D imaging, development and application of AI in image guided radiation therapy (IGRT).  His clinical expertise focuses on stereotactic radiosurgery (SRS) and stereotactic body radiation therapy (SBRT) of brain, lung and liver cancer patients.

Education and Training

  • Therapeutic Medical Physics, American Board of Radiology, 2012 - 2021
  • Medical Physics Faculty, Radiation Oncology, Henry Ford Health System, 2009 - 2011
  • Ph.D., Duke University, 2009

Publications

Zhang, Zeyu, Mi Huang, Zhuoran Jiang, Yushi Chang, Jordan Torok, Fang-Fang Yin, and Lei Ren. “4D radiomics: impact of 4D-CBCT image quality on radiomic analysis.” Phys Med Biol 66, no. 4 (February 11, 2021): 045023. https://doi.org/10.1088/1361-6560/abd668.

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Sun, Leshan, Zhuoran Jiang, Yushi Chang, and Lei Ren. “Building a patient-specific model using transfer learning for four-dimensional cone beam computed tomography augmentation.” Quant Imaging Med Surg 11, no. 2 (February 2021): 540–55. https://doi.org/10.21037/qims-20-655.

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Teng, Xinzhi, Yingxuan Chen, Yawei Zhang, and Lei Ren. “Respiratory deformation registration in 4D-CT/cone beam CT using deep learning.” Quant Imaging Med Surg 11, no. 2 (February 2021): 737–48. https://doi.org/10.21037/qims-19-1058.

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Jiang, Zhuoran, Fang-Fang Yin, Yun Ge, and Lei Ren. “Enhancing digital tomosynthesis (DTS) for lung radiotherapy guidance using patient-specific deep learning model.” Phys Med Biol 66, no. 3 (January 26, 2021): 035009. https://doi.org/10.1088/1361-6560/abcde8.

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Dai, Xianjin, Yang Lei, Yingzi Liu, Tonghe Wang, Lei Ren, Walter J. Curran, Pretesh Patel, Tian Liu, and Xiaofeng Yang. “Intensity non-uniformity correction in MR imaging using residual cycle generative adversarial network.” Phys Med Biol 65, no. 21 (November 27, 2020): 215025. https://doi.org/10.1088/1361-6560/abb31f.

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Sun, Wenzheng, Qichun Wei, Lei Ren, Jun Dang, and Fang-Fang Yin. “Adaptive respiratory signal prediction using dual multi-layer perceptron neural networks.” Phys Med Biol 65, no. 18 (September 14, 2020): 185005. https://doi.org/10.1088/1361-6560/abb170.

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Harris, Wendy, Fang-Fang Yin, Jing Cai, and Lei Ren. “Volumetric cine magnetic resonance imaging (VC-MRI) using motion modeling, free-form deformation and multi-slice undersampled 2D cine MRI reconstructed with spatio-temporal low-rank decomposition.” Quant Imaging Med Surg 10, no. 2 (February 2020): 432–50. https://doi.org/10.21037/qims.2019.12.10.

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Jiang, Zhuoran, Fang-Fang Yin, Yun Ge, and Lei Ren. “A multi-scale framework with unsupervised joint training of convolutional neural networks for pulmonary deformable image registration.” Phys Med Biol 65, no. 1 (January 13, 2020): 015011. https://doi.org/10.1088/1361-6560/ab5da0.

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Jia, Xun, Lei Ren, and Jing Cai. “Clinical implementation of AI technologies will require interpretable AI models.” Med Phys 47, no. 1 (January 2020): 1–4. https://doi.org/10.1002/mp.13891.

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Liu, Y., Y. Lei, T. Wang, J. Zhou, L. Lin, T. Liu, P. Patel, W. J. Curran, L. Ren, and X. Yang. “Liver synthetic CT generation based on dense-cyclegan for MRI-only treatment planning.” In Progress in Biomedical Optics and Imaging  Proceedings of Spie, Vol. 11313, 2020. https://doi.org/10.1117/12.2549265.

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