2007 Tsinghua University  Nuclear Science and Technology, phD

2002 Tsinghua University  Engineering Physics，BE

● 2025.06 – now　Professor DEPT. Engineering Physics, Tsinghua University  

● 2019.01 – 2025.06　Tenured associate professor  DEPT. Engineering Physics, Tsinghua University  

● 2012.12 – 2018.12　associate professor  DEPT. Engineering Physics, Tsinghua University  

● 2009.08 – 2012.12　Assistant professor  DEPT. Engineering Physics, Tsinghua University

● 2007.07 – 2009.07　Postdoctoral DEPT. Engineering Physics, Tsinghua University

● Principles of Nuclear Instruments for undergraduate students (Spring semester, 4 credits, about 80 students)

● Image Reconstruction Methods for graduate students (Fall semester, 4 credits, about 20 students)

My research interest is in physics and methods of X-ray imaging, covering traditional transmission CT, X-ray stimulated fluorescence CT, and the translation of basic research results to meet the urgent security and biomedical needs. For X-ray imaging, my highest priority is to study fundamental principles and develop new methods to improve image contrast and imaging sensitivity for specific substance recognition and characterization. My mind is open to traditional transmission CT, spectral CT, fluorescence CT, contrast-enhanced CT, integrated diagnosis and treatment, and other relevant opportunities. Recently, my work targets developing new techniques to improve sensitivity and specificity of X-ray imaging. My research achievements can be highlighted in the following aspects: 1) X-ray dual-energy/spectral CT imaging for specific material identification; 2) Precise diagnosis and treatment technology of deep cancers driven by keV X-ray beam; 3) Incomplete data CT imaging theory and algorithm.

Publications（Selected）

[1] Song JD, Pu SZ, Li L*. Full-Field Imaging System of X-ray Transmission, Scattering and Fluorescence Tomography with Polychromatic Source, IEEE Transactions on Radiation and Plasma Medical Sciences, 2025, DOI 10.1109/TRPMS.2025.3570314.

[2] Pu SZ, Song JD, Lu HB, Zhang WL*, Li L*. High-sensitivity and spatial resolution benchtop cone beam XFCT imaging system with pixelated photon counting detectors using enhanced multipixel events correction method, Physics in Medicine and Biology, 2024, 69: 215039.

[3] Li L*, Sun HH, Yao YD, Chen ZQ. Noise characterization analysis of dynamic dual-energy CT and its advantage in suppressing statistical noise, Physics in Medicine and Biology, 2024, 69: 185004.

[4] Wang YY, Liu XM, Li L*. Metal Artifacts Reducing Method Based on Diffusion Model Using Intraoral Optical Scanning Data for Dental Cone-beam CT, IEEE Transactions on Medical Imaging, 2024, doi: 10.1109/TMI.2024.3440009.

[5] Wen XY, Liu ZX, Chu YB, Le M, Li L*. MRCM-UCTransNet: Automatic and Accurate 3D Tooth Segmentation Network From Cone-Beam CT Images, Int J Imaging Syst Technol, 2024, 34: e23139. https://doi.org/10.1002/ima.23139. (Cover paper)

[6] Son JD, Xu FY, Yao B, Lu HB*, Zhang WL*, Li L*. Mechanism of X-ray excited optical luminescence in NaGdF4-based nanoparticles, Results in Physics, 58 107480, 2024, https://doi.org/10.1016/j.rinp.2024.107480.

[7] Gao JP, Sheng L, Wang XY, Zhang YH, Li L*, Duan BJ, Zhang M, Li Y, Hei DW*. Five-view three-dimensional reconstruction for ultrafast dynamic imaging of pulsed radiation sources. Matter Radiat. Extremes, 2024, 9 (2): 027801.

[8] Li L*, Song JD, PU SZ. Full-field multimodal imaging technology of X-ray transmission, fluorescence and scattering tomography (PI-CT) with polychromatic source, Proc. SPIE 13152, Developments in X-Ray Tomography XV, 131521A (4 October 2024) (Invited paper).

[9] Li L*, Zhang SY, Zhang WL, Lu HB. Full-field in vivo imaging of nanoparticles using benchtop cone-beam XFCT system with pixelated photon counting detector, Phys. Med. Biol. 68 035020, 2023.

[10] Wu CP, Li L*. First demonstration of Compton camera used for X-ray fluorescence imaging, IEEE Transactions on Medical Imaging, 2023, 42(5): 1314-24.

[11] Wu CP, Li L*. An accurate probabilistic model with detector resolution and Doppler broadening correction in list-mode MLEM reconstruction for Compton camera, Phys. Med. Biol. 67 125017, 2022.

[12] Jorgensen A M, Xu R, Sun T, Huang Y, Li L, Dai L, Wang C. A Theoretical Study of the Tomographic Reconstruction of Magnetosheath X-Ray Emissions, Journal of Geophysical Research: Space Physics, 127, e2021JA029948, 2022.

[13] Fang W, Li L*. Attenuation image referenced (AIR) effective atom number image calculation for MeV dual-energy container CT using image-domain deep learning framework. Results in Physics, 35: 105406, 2022.

[14] Yao YD, Li L*, Chen ZQ*. Iterative dynamic dual-energy CT algorithm in reducing statistical noise in multi-energy CT imaging, Physics in Medicine and Biology, 67 015003, 2022.

[15] Yan ZY, Li L*, Qiu R, Chen ZQ. Research on X-ray Fluorescence Enhanced Fluoroscopy Imaging Technology, Photonics 2021, 8(10): 441. https://doi.org/10.3390/photonics8100441

[16] Fang W, Wu DF, Kim K, Kalra MK., Singh R, Li L*, Li QZ*. Iterative material decomposition for spectral CT using self-supervised Noise2Noise prior. Physics in Medicine and Biology, 66: 155013, 2021.

[17] 张芝振, 李亮*. X射线荧光CT成像中荧光产额、退激时间、散射、偏振等关键物理问题计算与分析, 物理学报, 2021, Vol. 70, No. 19 (2021) 195201

[18] 宋佳丹, 李亮*, 彭吉龙*. 极紫外太阳爆发成像建模仿真与反演算法研究, 光学学报, 2021, 41(16): 1630001

[19] Huang Y, Dai L, Wang C, Xu RL, Li L. A new inversion method for reconstruction of plasmaspheric He+ density from EUV images, Earth and Planetary Physics, 5: 218–222, 2021. doi: 10.26464/epp2021020

[20] Fang W, Li L*, Chen ZQ. Removing Ring Artefacts for Photon-counting Detectors Using Neural Networks in Different Domains, IEEE Access, 8: 42447-42457, 2020. DOI: 10.1109/ACCESS.2020.2977096

[21] Zhang WL, Zhang SY, Gao P, Lan B, Li LH, Zhang XF, Li L*, Lu HB*. The feasibility of NaGdF4 nanoparticles as an x-ray fluorescence computed tomography imaging probe for the liver and lungs, Med Phys., 47(2): 662-761, 2020.

[22] Yang Y, Wu YC, Li L, et al. Design and characterization of high energy micro-CT with a laser-based X-ray source, Results in Physics, 14(2019), 102382.

[23] Zhang SY, Li L*, Chen ZQ*. Scattering Noise Model Enhanced EM-TV Algorithm for Benchtop X-ray Fluorescence Computed Tomography Image Reconstruction, IEEE Access, 7(1): 113589-113595, 2019.

[24] Zhang SY, Li L*, Chen JY, Chen ZQ*, Wenli Zhang, Hongbing Lu, Quantitative Imaging of Gd Nanoparticles in Mice Using Benchtop Cone-beam X-ray Fluorescence Computed Tomography System, Int J Mol Sci. 2019 May 10; 20(9). pii: E2315. doi: 10.3390/ijms20092315

[25] Yao YD, Li L*, Chen ZQ*. Dynamic-dual-energy spectral CT for improving multi-material decomposition in image-domain, Phys. Med. Biol. 64 (2019) 135006 (22pp)

[26] Chen ZY, Li L*. Robust multimaterial decomposition of spectral CT using convolutional neural networks, Opt. Eng., 58(1), 013104 (2019), doi: 10.1117/1.OE.58.1.013104.

[27] Li L*, Zhao T, Chen ZQ. First Dual MeV Energy X-ray CT for Container Inspection: Design, Algorithm and Preliminary Experimental Results, IEEE Access, volume 6, 2018, pp: 45534-45542, DOI: 10.1109/ACCESS.2018.2864800

[28] Zhao T, Li L*, Chen ZQ*. Dynamic Material Decomposition Method for MeV Dual-Energy X-ray CT, Applied Radiation and Isotopes, 140 (2018) 55–62.

[29] Zhao T, Li L*, Chen ZQ*. Iterative Material Decomposition Method Eliminating Photoelectric Effect for Dual MeV Energy Computed Tomography, IEEE Transactions on Nuclear Science, 65(7): 1394-1402, 2018.

[30] Zhao T, Li L*, Chen ZQ*. K-edge eliminated material decomposition method for dual-energy X-ray CT, Applied Radiation and Isotopes 127 (2017) 231–236.

[31] Li L, Zhang SY, Li RZ, et al. Full-field, fan-beam x-ray fluorescence computed tomography with a conventional x-ray tube and photon-counting detectors for fast nanoparticle bioimaging, Opt. Eng. 56(4), 043106 (2017).

[32] Li L, Li RZ, Zhang SY, Zhao T, Chen Z Q. A dynamic material discrimination algorithm for dual MV energy X-ray digital radiography, Applied Radiation and Isotopes, Volume 114, August 2016, Pages 188–195.

[33] Li L, Wang BG, Wang G. Edge-oriented Dual-dictionary Guided Enrichment (EDGE) for MRI-CT Image Reconstruction, Journal of X-ray science and technology, 24 (2016) 161–175.

[34] Li L, Chen ZQ, Cong WX, Wang G. Spectral CT Modeling and Reconstruction with Hybrid Detectors in Dynamic-threshold-based Counting and Integrating Modes, IEEE Transactions on Medical Imaging, 34(3): 716-728, 2015.

[35] Li L, Chen ZQ, Wang G, Chu JY, Gao H. A tensor PRISM algorithm for multi-energy CT reconstruction and comparative studies, Journal of X-Ray Science and Technology, 22: 147–163, 2014.

[36] Li L, Chen ZQ, Zhao ZR, Wu DF. X-ray digital intraoral tomosynthesis (IDT) for 3-D imaging: system, reconstruction algorithm and experiments, Optical Engineering, 52(1): 013201, 2013.

[37] Li L, Xing YX, Chen ZQ, et al. A curve-filtered FDK (C-FDK) reconstruction algorithm for circular cone-beam CT. Journal of X-Ray Science and Technology 19: 355–371, 2011.

[38] Li L, Chen Z Q, Xing Y X, et al. A general exact method for synthesizing parallel-beam projections from cone-beam projections via filtered backprojection. Phys Med Biol, 2006, 51:5643-5654.

● 2024, Best Paper Award for Multi-modal Imaging, SPIE Optics + Photonics, SPIE

● 2024, Gold Medal at the Geneva International Invention Exhibition. "Precise diagnosis and treatment technology of deep cancers with low radiation dose driven by keV X-ray beam".

● 2024, Wiley China Excellent Author Program, Wiley

● 2023, First Prize of Excellent Doctoral Dissertation, Chinese Nuclear Industry Education Society (supervisor)