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杨光

副研究员上海市磁共振重点实验室副主任

物理与电子科学学院      

个人资料

  • 部门: 物理与电子科学学院
  • 毕业院校:
  • 学位: 博士
  • 学历: 研究生
  • 邮编:
  • 联系电话: 62233873
  • 传真:
  • 电子邮箱: gyang@phy.ecnu.edu.cn
  • 办公地址: 上海市磁共振重点实验室(老图书馆1楼右手)
  • 通讯地址: 上海市中山北路3663号华东师范大学物理系,200062

教育经历

1989年,毕业于中国科学技术大学材料科学与工程系高分子化学专业,获学士学位;

1995年,毕业于华东师范大学分析测试中心波谱学与量子电子学专业,获博士学位;


工作经历

1995-1997,华东师范大学物理系讲师;

1997年—,华东师范大学物理系副研究员;

2012,上海市磁共振重点实验室副主任;

2020年—,博士生导师


 


个人简介

社会兼职


京影像诊疗技术创新联盟功能影像专业委员会常务委员

全国卫生产业企业管理协会精准医疗分会理事

中华医学会影像技术分会第八届委员会医学影像AI专业委员会骨关节学组委员

中国仪器仪表学会分析仪器分会核磁共振仪器专业委员会委员

研究方向

  主要研究方向为磁共振成像相关算法和软件的研发,包括:磁共振图像重建、后处理、可视化等,特别是人工智能在上述领域的作用;基于人工智能的计算机辅助诊疗;磁共振成像的应用。


  曾主持开发过磁共振成像系统软件的研发,主持及参与了多个磁共振成像系统的研发;从事过的研究还包括磁共振核磁共振波谱学应用,特别是固体核磁共振波谱学在多相聚合物体系相结构和分子运动的核磁共振研究等。

开授课程

科研项目

学术成果


作为课题负责人,承担过十多项科研项目,其中包括国家自然科学基金、上海市科委重大项目子课题、国家教委重点项目等。在国内外核心期刊上累计发表学术论文120篇,其中SCI论文58篇。申请国家发明专利十多项。目前的研究重点主要集中在医学影像人工智能与磁共振成像技术研发两个方面。


1 医学影像人工智能


近年来,与医院广泛合作,建立基于医学影像的诊断模型,发表相关SCI论文14篇。在磁共振成像领域的顶级会议ISMRM 2020年会上,与医院合作发表报告19篇,其中课题组口头报告3篇。此外,为了提高医工结合的科研效率、促进科研成果在临床落地应用,课题组与医院、公司合作开发了多款软件,也为课题的实施创造了良好的条件:

l影像组学科研平台

课题组开发的开源项目,为影像组学的研究建立了半自动的工具,覆盖影像组学研究的整个流程,包括特征提取、数据预处理、降维、特征选择、分类、结果查看与报告生成等。软件已在多家医院的科研中获得应用,课题组基于此平台,已有10多篇学术论文发表。

l智能影像工作站

智能影像工作站在普通的PACS工作站的基础上,提供了开放的框架,可以集成深度学学模型、影像组学模型与传统的图像后处理算法。在有适当的权限与配置的前提下,系统可以自动从医院的影像系统获取医生关心的图像,调用相关的模型进行数据处理,并将处理后的结果回传到医院的PACS系统,或在智能工作站上查看。该软件为医学影像人工智能模型的应用提供了便利的平台。

目前基于该系统实现的“前列腺AI计算机辅助诊断系统”中包含了前列腺的分割、肿瘤检测、评分、良恶性鉴别等多个模型,已在多家医院部署,进行临床前研究。

l多任务标记软件

提供了便捷的半自动标记工具、自动插值工具,可大大提高影像数据的标记效率,同时,也支持病人、检查、系列、影像、病灶等不同层次的文本信息的标记,便于数据的标注与管理。整个环境可以根据项目需要进行配置。


1FeatureExplorer软件界面。软件可以帮助医学影像人工智能的研究人员迅速地从大量的机器学习模型中发掘出最优模型,完成疾病的分类、治疗决策、预后评估等机器学习任务。


图2:智能影像工作站。集成的前列腺人工智能辅助诊断系统,可以自动对前列腺图像进行分割(蓝线)、癌灶检测(黄线)与评分。右下为癌灶检测的热图。




3 多任务标记软件。可在影像上同时标记多种ROI,并同时输入病人、检查、影像、病灶相关的信息。标记的ROI的内容和临床信息的内容都可以根据项目定制。软件还提供了多种半自动标记工具和插值工具,可大大提高标记效率。


2 磁共振成像系统研发


  从2005年起,与上海康达卡勒幅医疗科技有限公司合作,进行磁共振成像系统的研发。先后负责过系统软件与算法的研发、系统研制、产品质量体系等工作。参与并主持了0.35T0.5T1.5T0.7T等一系列磁共振成像系统的研制开发与产业化工作,多款产品获得NMPA颁发的产品注册证,成功地进行了产业化。主持开发了完全自主知识产权的软件系统,包括系统应用软件、谱仪控制软件和系统调试测试软件等。


4 主持或参与研发的磁共振成像系统。产品均获得国家药监局办法的产品注册证。




5 主持研发的磁共振成像系统应用软件。


[发表论文(2016-]

1.Wen-Cheng Qiao; Jiawei Wu; Ran Zhang; Wei Ou-Yang; Xiaohong Chen; Guang Yang; Qun Chen; Xuelu Wang; Hai Feng Wang; Ye-Feng Yao, “In situ NMR investigation of the photoresponse of perovskite crystal”, Cell: Matter (2020), accepted

2.Yang Song, Jing Zhang, Yu-dong Zhang, Ying Hou, Xu Yan, Yida Wang, Minxiong Zhou, Yefeng Yao, and Guang Yang*, FeAture Explorer (FAE): A tool of Model Development for Radiomics, Plos One (2020), 15(8): e0237587 (IF: 2.740)

3.Ye-Feng Yao, Wen-Cheng Qiao, Jianming Yang, Wei Dong, Guang Yang, Qinye Bao, Rong Huang, and Xuelu Wang, Metastable Alloying Structures in MAPbI3-xClx Crystals [Paper #AM2020120R], NPG Asia Materials (2020), accepted (IF: 8.131)

4.Zhicong Li; Jing Zhang; Yang Song; Xiaorui Yin; An Chen; Na Tang; Martin R Prince; Han Wang, Guang Yang, “Utilization of Radiomics to Predict Long Term Outcome of Magnetic Resonance Guided Focused Ultrasound Ablation Therapy in Adenomyosis Corresponding”, European Radiology (2020), https://doi.org/10.1007/s00330-020-07076-1.

5.Dening Ma, Xinyi Gao, Yibo Dan, Anni Zhang, Weijun Wang, Guang Yang, Hongzhou Zhu, “Evaluating solid non-small cell lung cancer anaplastic lymphoma kinase gene rearrangement using noninvasive radiomics biomarkers ”, OncoTargets and Therapy (2020) 13, 6927-6935 (2020 IF: 3.337)

6.Xiaojun Chen, Yida Wang, Minhua Shen, Bingyi Yang, Qing Zhou, Yinqiao Yi, Weifeng Liu, Guofu Zhang, Guang Yang*, He Zhang*, “Deep Learning for the Determination of Myometrial Invasion Depth and Automatic Lesion Identification in Endometrial Cancer MR Imaging: A Preliminary Study in a Single Institution”, European Radiology (2020) 30(9), 4985-4994(2019 IF: 4.338) DOI:10.1007/s00330-020-06870-1

7.Xiaodan Chen, Lin Lin, Jie Wu, Guang Yang, Tianjin Zhong, Xiaoqiang Du, Zhiyong Chen, Ganggang Xu, Yang Song, Yunjing Xue, and Qing Duan, “Histogram analysis in predicting the grade and histological subtype of meningiomas based on diffusion kurtosis imaging”, Acta Radiologica (2020), DOI: 10.1177/0284185119898656

8.Menglei Li, Jing Zhang, Yibo Dan, Yefeng Yao, Weixing Dai, Guoxiang Cai, Guang Yang*, Tong Tong*, “A clinical-radiomics nomogram for the preoperative prediction of lymph node metastasis in colorectal cancer”, Journal of Translational Medicine (2020), DOI : 10.1186/s12967-020-02215-0, JTRM-D-19-01278R2

9.Yida Wang, Yang Song, Fang Wang, Jingjing Sun, Xinyi Gao, Zhe Han, Lei Shi, Guoliang Shao, Minxia Fan, Guang Yang*, “A Two step automated Quality Assessment for Liver MR Images Based on Convolutional Neural Network”, European J. Radiology, 2020, 108822

10.Zebin Xiao, Zuohua Tang*, Jing Zhang, Guang Yang*, Wenjiao Zeng, Jianfen Luo, Yang Song, Zhongshuai Zhang,Whole-Tumor Histogram Analysis of Monoexponential and Advanced Diffusion-weighted Imaging for Sinonasal Malignant Tumors: Correlations with Histopathologic Features JMRI, 2020, 51:273-285. https://doi.org/10.1002/jmri.26857

11.Xin-Yi Gao, Yi-Da Wang, Shi-Man Wu, Wen-Ting Rui, De-Ning Ma, Yi Duan, An-Ni Zhang, Zhen-Wei Yao, Guang Yang, Yan-Ping Yi, “Differentiation of Treatment-Related Effects from Glioma Recurrence Using Machine Learning Classifiers Based Upon Pre-and Post-Contrast TIWI and T2 FLAIR Subtraction Features: A Two-Center Study”, Cancer Management and Research 2020:12 3191–3201

12.周芳芳; 王一达; 宋阳; 杨光,基于2.5D级联卷积神经网络的CT图像胰腺分割方法”, 中国医学物理学杂志,卷: 3762020786-791

13.陈美玲, 张敬, 张玉东, 侯莹, 宋阳, 谢海滨, 杨光*, 影像组学用于磁共振临床显著性前列腺癌与非显著前列腺癌鉴别诊断, 中国医学计算机成像杂志, 2020, 3accepted

14.孙裕斌, 刘志远, 陈静, 杨光, and 郭秀艳社会比较对象对后悔情绪波动性的影响:一项静息态fMRI研究磁共振成像, no. 11(2019): 1-6.

15.刘杰, 王一达, 童睿, 谢海滨, 李建奇, and 杨光基于卷积神经网络的定量磁化率图像重建信息技术, no. 10(2019): 72-76.

16.彭锦发, 罗庆, 赵羽, 吴东梅, 谢海滨, 李建奇, and 杨光在线磁共振图像重建研究信息技术, no. 09(2019): 5-10.

17.王睿, 宋阳, 王一达, 吴东梅, 谢海滨, and 杨光基于遗传算法去除磁共振图像的运动伪影信息技术, no. 09(2019): 29-33.

18.Qiong Li, Liang Qi, Qiu-xia Feng, Chang Liu, Shu-Wen Sun, Jing Zhang, Guang Yang, Ying-Qiao Ge, Yu-Dong Zhang, Xi-Sheng Liu, “Machine Learning–Based Computational Models Derived From Large-Scale Radiographic-Radiomic Images Can Help Predict Adverse Histopathological Status of Gastric Cancer”, Clinical and Translational Gastroenterology, 2019, DOI: 10.14309/ctg.0000000000000079

19.Jiachen Wang, Xi Zhang, Robert Graf, Yi Li, Guang Yang, Xiaobin Fu, Jia-Qi Li, Ye-Feng007AYao “A Small Lattice Change Induces Significant Dynamic Changes of CH 3 NH 3 + Caged in Hybrid Perovskite Crystals: Toward Understanding the Interplay between Host Lattices and Guest Molecules”, Inorganic Chemistry, 2019, DOI: 10.1021/acs.inorgchem.9b00497

20.Qiu-Xia Feng, Chang Liu, Liang Qi, Shu-Wen Sun, Yang Song, Guang Yang, Yu-Dong Zhang, Xi-Sheng Liu, “An Intelligent Clinical Decision Support System for Preoperative Prediction of Lymph Node Metastasis in Gastric Cancer”, J. Am. Coll. Radiol. 2019, https://doi.org/10.1016/j.jacr.2018.12.017

21.Xu, X., Zhang, H-L., Liu, Q-P., Sun, S-W., Zhang, J., Zhu, F-P., Yang, G., Yan, X., Zhang, Y-D., Liu, X-S., Radiomic Analysis of Contrast-Enhanced CT Predicts Microvascular Invasion and Outcome in Hepatocellular Carcinoma, Journal of Hepatology (2019), doi: https://doi.org/10.1016/j.jhep.2019.02.023

22.Song Yang, Yu-Dong Zhang*, Xu Yan, Hui Liu, Minxiong Zhou, Bingwen Hu, and Guang Yang*, Computer-Aided Diagnosis of Prostate Cancer Using a Deep Convolutional Neural Network From Multiparametric MRI, Journal of Magnetic Resonance Imaging, 2018; 48:1570-1577, DOI 10.1002/jmri.26047

23.Tian Guo, Yang Song, Jianqi Li, Minxia Fan, Andi He, Dongya Huang, Chaomin Shen, Guixu Zhang, Guang Yang*, Seed point discontinuity-based segmentation method for the substantia nigra and the red nucleus in quantitative susceptibility maps: QSM Segmentation for SN and RN, Journal of Magnetic Resonance Imaging, 2018; 48:1112-1119, DOI: 10.1002/jmri.26023

24.Jianqi Li, Huimin Lin, Tian Liu, Zhuwei Zhang, Martin R. Prince, Kelly Gillen, Xu Yan, Qi Song, Ting Hua, Xiance Zhao, Miao Zhang, Yu Zhao, Gaiying Li, Guangyu Tang, Guang Yang, Gary M. Brittenham, and Yi Wang, Quantitative Susceptibility Mapping (QSM) Minimizes Interference From Cellular Pathology in R2* Estimation of Liver Iron Concentration, J. Magn. Reson. Imaging, 2018; 48:1069-1079, DOI: 10.1002/jmri.26019

25.Yingqiao Xu, Shujin Hou, Guang Yang*, Xiaojun Wang, Ting Lu*, Likun Pan, Synthesis of bimetallic NixCo1-xP hollow nanocages from metal-organic frameworks for high performance hybrid supercapacitors, Electrochimica Acta, PII: S0013-4686(18)31729-8, DOI: 10.1016/j.electacta.2018.07.211

26.廖囡囡; 杨旭霞; 吴丽娟; 陈丽; 杨光; 吴昌琳,聚乙烯醇微球的制备与表征,《材料科学与工程学报》, (05), pp 764-768+738, 2018

27.吴雨嫣,刘志远*,杨光*,郭秀艳,太极运动者前额叶的低频振幅能预测其情绪控制能力:一项静息态研究,《磁共振成像》2018(9),12, 936-942

28.李冬宝,宋阳,罗庆,谢海滨*,杨光*基于YAP流水线的影像组学研究的支持,《磁共振成像》,2018, 9(7): 533-538

29.杨志炜,郭天,谢海滨*,杨光*影像组学在脑肿瘤分级中的应用研究,《磁共振成像》,201896),439-445

30.徐佳琳,郑丽,刘志远*,杨光*,郭秀艳,他人决策行为对个体风险决策的影响:基于静息态fMRI的研究,《磁共振成像》,201896),446-452

31.王一达,宋阳,谢海滨,童睿,李建奇,杨光*卷积神经网络重建欠采的磁共振图像,《磁共振成像》,201896),453-459

32.罗庆,张成秀,李文静,郑慧,谢海滨,杨光*. “一种新的磁共振图像处理流水线的设计与实现”[J]. 波谱学杂志, 2018, 35(1): 40-51, doi:10.11938/cjmr20172588.

33.张波,谢海滨,严序,李文静,杨光,旋转不变的非局域均值算法在磁共振图像去噪中的应用,波谱学杂志, 2018, 35(2): 162-169.  doi: 10.11938/cjmr20172582

34.黄丽洁, 宋阳, 赵献策, 谢海滨, 吴东梅, 杨光. 一种结合并行成像和压缩感知的快速磁共振成像新方法[J]. 波谱学杂志, 2018, 35(1): 31-39.
 HUANG Li-jie, SONG Yang, ZHAO Xian-ce, XIE Hai-bin, WU Dong-mei, YANG Guang. A New Combination Scheme of GRAPPA and Compressed Sensing for Accelerated Magnetic Resonance Imaging. Chinese Journal of Magnetic Resonance, 2018, 35(1): 31-39.

35.Yu Wang, Yongsheng Chen, Dongmei Wu, Ying Wang, Sean K. Sethi, Guang Yang, Haibin Xie, Shuang Xia, and E. Mark Haacke, Strategically Acquired Gradient Echo (STAGE) Imaging, Part II: Correcting for RF Inhomogeneities in Estimating T1 and Proton Density, Magnetic Resonance Imaging, 46 (2018), 140-150

36.郑轶洁; 徐佳琳; 郑丽; 李林; 杨光; 郭秀艳,经济状况对不公平感相关决策的影响:基于静息态的fMRI研究,磁共振成像, 08, pp 598-603, 2017.

37.Yingqiao Xu, Shujin Hou, Guang Yang, Ting Lu, Likun Pan, NiO/CNTs derived from metal-organic frameworks as superior anode material for lithium-ion batteriesJournal of Solid State Electrochemistry, 2017, DOI: 10.1007/s10008-017-3811-0

38.Xiao-Bin Fu, Guang Yang, Jin-Ze Wu, Jianchen Wang, Qun Chen, and Yefeng YaoFast Lithium-Ion Transportation in Crystalline Polymer Electrolytes, ChemPhysChem (2018) 19 (1) ,10.1002/cphc.201701092, (2017)

39.Ran Zhang, Ting Xiao, Robert Graf, Ele De-Boer, Rene Verhoef, Arno Kentgens, Guang Yang, Sanjay Rastogi, Ye-Feng Yao, Chain packing in the noncrystalline region of deuterated UHMWPE: A solid-state 2H and 13C NMR study, European Polymer Journal, Volume 96, 2017, 494-504

40.Cheng, X., Zheng, L., Li, L., Zheng, Y., Guo, X*. & Yang, G. (2017). Anterior insula signals inequalities in a modified Ultimatum Game. Neuroscience, 348, 126-134.

41.Dongsheng Li, Dong Yan, Xiaojie Zhang, Ting Lu, Guang Yang, Likun Pan, Wire-like NiCo2O4 anchored on reduced graphene oxide with enhanced electrochemical performance for sodium-ion batteries, J Mater Sci: Mater Electron DOI 10.1007/s10854-017-6812-y

42.Yang Song, Ehsan Hamtaei, Sean K. Sethi, Guang Yang*, Haibin Xie, E. Mark Haacke, Constrained Data Extrapolation (CODE): A new approach for high definition vascular imaging from low resolution data, Magnetic Resonance Imaging, 10.1016/j.mri.2017.08.008

43.Cheng Zhu, Miao Wang, Guang Yang, Ting Lu*, Likun Pan, N, P dual-doped hollow carbon spheres for high-performance supercapacitors, J Solid State Electrochemistry (2017). https://doi.org/10.1007/s10008-017-3683-3

44.Yijie Zheng, Xuemei Cheng, JiaLin Xu, Li Zheng*, Lin Li, Guang Yang*, Xiuyan Guo“Proposers’ economic status affects behavioral and neural responses to unfairness”Frontiers in Psychology, May 2017, DOI: 10.3389/fpsyg.2017.00847

45.李文静,谢海滨,严序,周敏雄,向之明,杨光*基于局部位移校正的磁共振图像相干平均,波谱学杂志,2017, 34(3): 294-301

46.赵献策,谢海滨,郑慧,郭天,杨光*用于MRI图像灰度校正的CLIC改进模型,波谱学杂志,2017, Vol.34(2)164-174, doi:10.11938/cjmr20170205

47.吴丽娟,赵芳,刘光万,曲洪媛,杨旭霞,廖囡囡,陈丽,杨光*,吴昌琳*一种siRNA药物载体薄膜的稳定性与基因沉默效应评价,中国生物制品学杂志,2017Vol. 30 (4), 372-376, DOI10.13200/j.cnki.cjb.001707

48.Wu, LJ; Wu, CL; Liu, GW; Liao, NN; Zhao, F; Yang, XX; Qu, HY; Peng, B; Chen, L; Yang, G, A surface-mediated siRNA delivery system developed with chitosan/hyaluronic acid-siRNA multilayer films through layer-by-layer self-assembly, Applied Surface Science, 2016, VOL.389, IS., P.395-403

49.Xiao-Bin Fu, Ling-Yun Yang, Jai-Qi Ma, Guang Yang, Ye-Feng Yao, Qun Chen, Revealing structure and dynamics in host–guest supramolecular crystalline polymer electrolytes by solid-state NMR: Applications to β-CD-polyether/Li+ crystal, DOI: 10.1016/j.polymer.2016.10.041

50.张雪莹, 王成龙, 谢海滨, 张成秀, 马超, 陆建平, 杨光,基于GPU加速的磁共振血管造影图像的并行分割与追踪算法,波谱学杂志,2016Vol. 33(4): 570-580

51.宋阳,谢海滨,杨光,用于压缩感知磁共振成像的分割字典学习算法,波谱学杂志,2016 Vol. 33 (4): 559-569

52.高芒,谢海滨,李智敏,张成秀,奚伟,姜小平,杨光*压缩感知同步扫描重建及其扫描方案的研究,波谱学杂志,第33卷第2期,257-268 (2016)

53.Z. Liu, L. Li, L. Zheng, Z. Hu, I.D. Roberts, X. Guo*, G. Yang*, The neural basis of regret and relief during a sequential risk-taking task, Neuroscience (2016), doi:http://dx.doi.org/10.1016/j.neuroscience. 2016.04.018




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