Lei Ren, PhD

Adjunct Professor in the Department of Radiation Oncology
Member of the Duke Cancer Institute
Address: 04209 Radiation Physics, P.O. Box 3295 DUMC
Durham, NC 27710
Phone: (919) 668-0489
Email: lei.ren@duke.edu

Research Interests

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.

Publications

Jiang, Zhuoran, et al. “Fast four-dimensional cone-beam computed tomography reconstruction using deformable convolutional networks.Med Phys, June 2022. Pubmed, doi:10.1002/mp.15806.

Zhang, Z., et al. “Patient-specific synthetic magnetic resonance imaging generation from cone beam computed tomography for image guidance in liver stereotactic body radiation therapy.” Precision Radiation Oncology, vol. 6, no. 2, June 2022, pp. 110–18. Scopus, doi:10.1002/pro6.1163.

Vigil, N., et al. “Dual-Intended Deep Learning Model for Breast Cancer Diagnosis in Ultrasound Imaging.” Cancers, vol. 14, no. 11, June 2022. Scopus, doi:10.3390/cancers14112663.

Lu, Ke, et al. “A geometry-guided multi-beamlet deep learning technique for CT reconstruction.Biomed Phys Eng Express, vol. 8, no. 4, May 2022. Pubmed, doi:10.1088/2057-1976/ac6d12.

Zhang, Zeyu, et al. “Patient-specific deep learning model to enhance 4D-CBCT image for radiomics analysis.Phys Med Biol, vol. 67, no. 8, 2022. Pubmed, doi:10.1088/1361-6560/ac5f6e.

Peng, Tengya, et al. “Real-time Markerless Tracking of Lung Tumors based on 2-D Fluoroscopy Imaging using Convolutional LSTM.Ieee Trans Radiat Plasma Med Sci, vol. 6, no. 2, Feb. 2022, pp. 189–99. Pubmed, doi:10.1109/trpms.2021.3126318.

Mueller, Marco, et al. “The markerless lung target tracking AAPM Grand Challenge (MATCH) results.Med Phys, vol. 49, no. 2, Feb. 2022, pp. 1161–80. Pubmed, doi:10.1002/mp.15418.

Jiang, Zhuoran, et al. “Enhancement of 4-D Cone-Beam Computed Tomography (4D-CBCT) Using a Dual-Encoder Convolutional Neural Network (DeCNN).Ieee Trans Radiat Plasma Med Sci, vol. 6, no. 2, Feb. 2022, pp. 222–30. Pubmed, doi:10.1109/trpms.2021.3133510.