基本信息
李印生  男  硕导  中国科学院深圳先进技术研究院
电子邮件: ys.li2@siat.ac.cn
通信地址: 深圳市南山区西丽大学城学苑大道1068号
邮政编码:

基本信息

李印生,博士,研究员,国家优秀青年基金(海外)获得者

研究领域:CT成像、医学人工智能、生物医学工程

电子邮件:ys.li2@siat.ac.cn

通信地址:深圳市南山区西丽大学城学苑大道1068中国科学院深圳先进技术研究院


个人简介

李印生,博士,研究员,国家优秀青年基金(海外)获得者;从事CT成像、医学人工智能、生物医学工程方法研究,包括基于模型的图像重建、基于人工智能的图像重建、低剂量CT、能谱CT、动态CT、脑血管与脑灌注CT成像、心血管与心肌灌注CT成像等,形成了“理论研究-技术突破-产业转化-临床应用”的全链条研究特色;突破现有技术在时间分辨、空间分辨、能谱分辨、对比度分辨、定量精度、辐射剂量等方面的极限,降低对成像系统硬件性能的要求;与高端医疗仪器龙头企业深入合作,开展多项学术成果的产业转化,与国家临床医学研究中心深入合作,开展多项创新技术的临床应用研究;发表SCI期刊论文29篇,以独立一作在 IEEE Transactions on Medical ImagingIEEE-TMI发表5篇论文,发表会议论文30篇,特邀口头报告25次,授权美国发明专利2项;主持国家优秀青年基金(海外)、国自然青年基金担任 Medical Physics 期刊副主编、American Journal of Neuroradiology 期刊编委,及多个国际知名期刊和国际会议的特邀审稿人;曾获 Medical Physics 杰出副主编奖、IEEE-TMI 审稿杰出贡献奖、SPIE Honorable Award等;所在单位已配备C臂锥束CT(联影 uAngio 960)、诊断CT(联影 uCT 860)、临床介入手术机器人系统、光子计数CT原型系统等,为拟开展课题提供必需的实验条件;期望发展精准、可解释、可推广的智能成像和诊疗新技术,解决医学成像和疾病诊疗中的关键问题,服务生物医学科学研究的核心需求。

招生专业
083100-生物医学工程
081002-信号与信息处理
研究方向

1. 应用数学、物理、计算机领域知识,将CT物理和脑生理模型引入人工智能方法中,发展新型脑CT技术,解决脑成像及脑相关疾病诊疗中的关键问题;

2. 应用数学、物理、计算机领域知识,将CT物理和心脏生理模型引入人工智能方法中,发展新型心脏CT技术,解决心脏成像及心脏相关疾病诊疗中的关键问题;

3. 应用数学、物理、计算机领域知识,将CT物理模型引入人工智能方法中,发展新型能谱CT技术,解决能谱成像中的关键问题;

4. 应用物理、生物医学工程、电子工程等领域知识,发展基于X射线的新型成像或治疗系统,解决现有技术面向生物医学领域科学研究或疾病诊疗中的关键技术问题。

工作经历

2024年1月-今:中国科学院深圳先进技术研究院,医工所,研究员

2022年3月-2023年12月:中国科学院深圳先进技术研究院,医工所,副研究员

2018年3月-2022年2月:美国威斯康星大学麦迪逊分校,医学物理系,助理科学家

专利与奖励

   
专利成果
( 1 ) System and method for spectral computed tomography using single polychromatic x-ray spectrum acquisition, 发明专利, 2022, 第 2 作者, 专利号: 16699222

( 2 ) SYSTEM AND METHOD FOR MULTI-ARCHITECTURE COMPUTED TOMOGRAPHY PIPELINE, 发明专利, 2019, 第 2 作者, 专利号: US20190251713(A1)

出版信息

   
发表论文
[1] J. Montoya, C. Zhang, Yinsheng Li, K. Li, G.-H. Chen. Reconstruction of three-dimensional tomographic patient models for radiation dose modulation in CT from two scout views using deep learning. Medical Physics[J]. 2022, 49(2): [2] Li, Yinsheng, Li, Ke, Garrett, John W, Chen, GuangHong, Bosmans, H, Zhao, W, Yu, L. Generation of virtual non-contrast (VNC) image from dual energy CT scans using deep learning. MEDICAL IMAGING 2021: PHYSICS OF MEDICAL IMAGINGnull. 2021, 11595: [3] John W Garrett, Yinsheng Li, Ke Li, GuangHong Chen. Reduced anatomical clutter in digital breast tomosynthesis with statistical iterative reconstruction. MEDICAL PHYSICS. 2021, 45(5): 2009-2022, [4] Li, Yinsheng, CruzBastida, Juan Pablo, Li, Ke, Bushe, Daniel, Francois, Christopher, Lubner, Meghan, Chen, GuangHong, Chen, GH, Bosmans, H. Feasibility of Achieving Spectral CT Imaging from A Single KV Acquisition and Deep Learning Method. MEDICAL IMAGING 2020: PHYSICS OF MEDICAL IMAGINGnull. 2021, 11312: http://dx.doi.org/10.1117/12.2549611.
[5] Hayes, John W, Montoya, Juan, Budde, Adam, Zhang, Chengzhu, Li, Yinsheng, Li, Ke, Hsieh, Jiang, Chen, GuangHong. High Pitch Helical CT Reconstruction. IEEE TRANSACTIONS ON MEDICAL IMAGING[J]. 2021, 40(11): 3077-3088, http://dx.doi.org/10.1109/TMI.2021.3083210.
[6] Li, Yinsheng, Garrett, John W, Li, Ke, Strother, Charles, Chen, GuangHong, Chen, GH, Bosmans, H. High Temporal Resolution Time-Resolved C-arm Cone-beam CT Imaging using a Multi-Sweep Data Acquisition Scheme. MEDICAL IMAGING 2020: PHYSICS OF MEDICAL IMAGINGnull. 2021, 11312: http://dx.doi.org/10.1117/12.2549602.
[7] Zhang, Chengzhu, Li, Yinsheng, Chen, GuangHong. Accurate and robust sparse-view angle CT image reconstruction using deep learning and prior image constrained compressed sensing (DL-PICCS). MEDICAL PHYSICS[J]. 2021, 48(10): 5765-5781, http://dx.doi.org/10.1002/mp.15183.
[8] K Li, Yinsheng Li, Z. Qi, J. Garrett, T Grist, G.-H. Chen. Quantitative Lung Perfusion Blood Volume Derived from Dual Energy CT Imaging. Medical Physics[J]. 2021, 48(11): [9] Yang Chen, Adam Budde, Ke Li, Yinsheng Li, Jiang Hsieh, GuangHong Chen. A platform-independent method to reduce CT truncation artifacts using discriminative dictionary representations. MEDICAL PHYSICS. 2021, 44(1): 121-131, [10] Li, Yinsheng, Garrett, John W, Li, Ke, Strother, Charles, Chen, GuangHong. An Enhanced SMART-RECON Algorithm for Time-Resolved C-Arm Cone-Beam CT Imaging. IEEE TRANSACTIONS ON MEDICAL IMAGING[J]. 2020, 39(6): 1894-1905, [11] Yinsheng Li, Ke Li, Chengzhu Zhang, Juan Montoya, GuangHong Chen. Learning to Reconstruct Computed Tomography (CT) Images Directly from Sinogram Data under A Variety of Data Acquisition Conditions. IEEE TRANSACTIONS ON MEDICAL IMAGING. 2019, 38(10): 2469-2481, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7962902/.
[12] Li Yinsheng, Li Ke, Zhang Chengzhu, Montoya Juan, Chen GuangHong, Schmidt TG, Chen GH, Bosmans H. Image reconstruction from fully-truncated and sparsely-sampled line integrals using iCT-Net. MEDICAL IMAGING 2019: PHYSICS OF MEDICAL IMAGINGnull. 2019, 10948: [13] Wagner, Martin G, Hinshaw, J Louis, Li, Yinsheng, Szczykutowiz, Timothy P, Laeseke, Paul, Mistretta, Charles A, Lee, Fred T, Jr. Ultra-Low Radiation Dose CT Fluoroscopy for Percutaneous Interventions: A Porcine Feasibility Study. RADIOLOGY[J]. 2019, 291(1): 241-249, [14] Harvey, Evan Cary, Feng, Mang, Ji, Xu, Zhang, Ran, Li, Yinsheng, Chen, GuangHong, Li, Ke. Impacts of photon counting CT to maximum intensity projection (MIP) images of cerebral CT angiography: theoretical and experimental studies. PHYSICS IN MEDICINE AND BIOLOGY[J]. 2019, 64(18): 185015-185015, [15] Li, Yinsheng, Chen, GuangHong. An Empirical Data Inconsistency Metric (DIM) Driven CT Image Reconstruction Method. IEEE TRANSACTIONS ON MEDICAL IMAGING[J]. 2019, 38(2): 337-348, [16] Li, Yinsheng, Garrett, John W, Li, Ke, Wu, Yijing, Johnson, Kevin, Schafer, Sebastian, Strother, Charles, Chen, GuangHong. Time-resolved C-arm cone beam CT angiography (TR-CBCTA) imaging from a single short-scan C-arm cone beam CT acquisition with intra-arterial contrast injection. PHYSICS IN MEDICINE AND BIOLOGY[J]. 2018, 63(7): 075001-075001, http://dx.doi.org/10.1088/1361-6560/aab346.
[17] Garrett, John W, Li, Yinsheng, Li, Ke, Wu, Yijing, Johnson, Kevin, Schafer, Sebastian, Chen, GuangHong. Quantification of temporal resolution improvement factor in SMART-RECON based time-resolved C-arm Cone beam computed tomography angiography (TR-CBCTA). PHYSICS IN MEDICINE AND BIOLOGY[J]. 2018, 63(19): http://dx.doi.org/10.1088/1361-6560/aadfef.
[18] Montoya, J C, Li, Y, Strother, C, Chen, G H. 3D Deep Learning Angiography (3D-DLA) from C-arm Conebeam CT. AMERICAN JOURNAL OF NEURORADIOLOGY[J]. 2018, 39(5): 916-922, http://dx.doi.org/10.3174/ajnr.A5597.
[19] Yinsheng Li, M Speidel, C Francois, G.-H. Chen. Radiation Dose Reduction in Dynamic CT Myocardial Perfusion Imaging Using SMART-RECON. IEEE TRANSACTIONS ON MEDICAL IMAGING[J]. 2017, 36(12): 2557-2568, [20] Li Yinsheng, Niu Kai, Li Ke, Schafer Sebastian, Royalty Kevin, Strother Charles, Chen GuangHong, Kontos D, Flohr TG, Lo JY. C-arm cone beam CT perfusion imaging using the SMART-RECON algorithm to improve temporal sampling density and temporal resolution. MEDICAL IMAGING 2016: PHYSICS OF MEDICAL IMAGINGnull. 2016, 9783: [21] Yinsheng Li, Kai Niu, Pengfei Yang, Beveley AagaardKienitz, David B Niemann, Azam S Ahmed, Charles Strother, GuangHong Chen. Mask free Intravenous 3D Digital Subtraction Angiography (IV 3D-DSA) from a single C-arm acquisition. PROCEEDINGS OF SPIE--THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING. 2016, 9783: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5710838/.
[22] Yinsheng Li, John Garrett, GuangHong Chen. Reduction of Beam Hardening Artifacts in Cone-Beam CT Imaging via SMART-RECON Algorithm. PROCEEDINGS OF SPIE--THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING. 2016, 9783: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5710817/.
[23] Bannas, Peter, Li, Yinsheng, Motosugi, Utaroh, Li, Ke, Lubner, Meghan, Chen, GuangHong, Pickhardt, Perry J. Prior Image Constrained Compressed Sensing Metal Artifact Reduction (PICCS-MAR): 2D and 3D Image Quality Improvement with Hip Prostheses at CT Colonography. EUROPEAN RADIOLOGY[J]. 2016, 26(7): 2039-2046, https://www.webofscience.com/wos/woscc/full-record/WOS:000377996200008.
[24] Chen, GuangHong, Li, Yinsheng. Synchronized multiartifact reduction with tomographic reconstruction (SMART-RECON): A statistical model based iterative image reconstruction method to eliminate limited-view artifacts and to mitigate the temporal-average artifacts in time-resolved CT. MEDICAL PHYSICS[J]. 2015, 42(8): 4698-4707, https://www.webofscience.com/wos/woscc/full-record/WOS:000358933000027.
[25] Li Yinsheng, Tang Jie, Chen GuangHong, Whiting BR, Hoeschen C, Kontos D. Impact of Norm Selections on the Performance of Four-dimensional Cone-beam Computed Tomography (4DCBCT) using PICCS. MEDICALIMAGING2014PHYSICSOFMEDICALIMAGINGnull. 2014, 9033: [26] Li Yinsheng, Tang Jie, Chen GuangHong, Nishikawa RM, Whiting BR, Hoeschen C. Impact of Norm Selections on the Performance of Prior Image Constrained Compressed Sensing (PICCS). MEDICAL IMAGING 2013: PHYSICS OF MEDICAL IMAGINGnull. 2013, 8668: [27] Li, Yinsheng, Chen, Yang, Hu, Yining, Oukili, Ahmed, Luo, Limin, Chen, Wufan, Toumoulin, Christine. Strategy of computed tomography sinogram inpainting based on sinusoid-like curve decomposition and eigenvector-guided interpolation. JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION[J]. 2012, 29(1): 153-163, https://www.webofscience.com/wos/woscc/full-record/WOS:000299166000017.
[28] Chen, Yang, Li, Yinsheng, Guo, Hong, Hu, Yining, Luo, Limin, Yin, Xindao, Gu, Jianping, Toumoulin, Christine. CT Metal Artifact Reduction Method Based on Improved Image Segmentation and Sinogram In-Painting. MATHEMATICAL PROBLEMS IN ENGINEERING[J]. 2012, 2012: https://doaj.org/article/f6b31e796e034c5c8eccbb72acf28312.
[29] Chen, Yang, Li, Yinsheng, Yu, Weimin, Luo, Limin, Chen, Wufan, Toumoulin, Christine. JOINT-MAP TOMOGRAPHIC RECONSTRUCTION WITH PATCH SIMILARITY BASED MIXTURE PRIOR MODEL. MULTISCALE MODELING & SIMULATION[J]. 2011, 9(4): 1399-1419, https://www.webofscience.com/wos/woscc/full-record/WOS:000298366100005.
[30] Chen, Yang, Yu, Weimin, Li, Yinsheng, Yang, Zhou, Luo, Limin, Chen, Wufan. Bayesian Image Restoration Using a Large-Scale Total Patch Variation Prior. MATHEMATICAL PROBLEMS IN ENGINEERING[J]. 2011, 2011: https://doaj.org/article/25369d3acb4b4daebbff40e76e2308f7.
[31] Chen, Yang, Chen, Wufan, Yin, Xindao, Ye, Xianghua, Bao, Xudong, Luo, Limin, Feng, Qianjing, Li, Yinsheng, Yu, Xiaoe. Improving low-dose abdominal CT images by Weighted Intensity Averaging over Large-scale Neighborhoods. EUROPEAN JOURNAL OF RADIOLOGY[J]. 2011, 80(2): E42-E49, http://dx.doi.org/10.1016/j.ejrad.2010.07.003.
[32] Chen, Yang, Li, Yinsheng, Dong, Yingmei, Hao, Liwei, Luo, Limin, Chen, Wufan. Effective Image Restorations Using a Novel Spatial Adaptive Prior. EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING[J]. 2010, https://doaj.org/article/688f30832d114305b03a03605157a745.
[33] LiminLuo, YiningHu, XindaoYin, ChristineToumoulin, HongGuo, JianpingGu, YangChen, YinshengLi. CT Metal Artifact Reduction Method Based on Improved Image Segmentation and Sinogram In-Painting. HINDAWI PUBLISHING CORPORATION. http://oa.las.ac.cn/oainone/service/browseall/read1?ptype=JA&workid=JA201912140974861ZK.
[34] ZhouYang, LiminLuo, WufanChen, YangChen, WeiminYu, YinshengLi. Bayesian Image Restoration Using a Large-Scale Total Patch Variation Prior. HINDAWI PUBLISHING CORPORATION. http://oa.las.ac.cn/oainone/service/browseall/read1?ptype=JA&workid=JA201912140974166ZK.

科研活动

国家优秀青年基金(海外),负责人,国家任务,2024-01--2026-12

国家自然科学基金人才项目配套,负责人,中国科学院计划,2024-01--2026-12

国家自然科学基金人才项目深圳先进院配套,负责人,研究所自主部署,2024-01--2026-12

国自然青年基金,负责人,国家任务,2024-01--2026-12

学术兼职

2019年-今:《Medical Physics》副主编

2020年-2022年:《American Journal of Neuroradiology》编委