基本信息
张丽娟  女  博导  中国科学院深圳先进技术研究院
电子邮件: lj.zhang@siat.ac.cn
通信地址: 中国科学院深圳先进技术研究院
邮政编码: 518055

研究领域

使用包括DTI, MRS, RS-fMRI, SWI, CEST 等功能磁共振和定量磁共振技术, 从结构, 功能, 代谢等方面深入探讨大脑发育, 衰老, 肿瘤, 缺血, 退行性改变等生理及病理机制.

招生信息

模式识别与智能系统

生物医学工程

生物化学与分子生物学

影像医学与核医学

磁共振成像

神经科学

招生专业
081104-模式识别与智能系统
083100-生物医学工程
071006-神经生物学
招生方向
神经影像学, 磁共振成像
神经科学,脑疾病
定量磁共振成像技术及应用

教育背景

1995-07--1998-07   中国解放军总医院研究生院   硕士
1990-07--1995-07   哈尔滨医科大学   医学学士
学历
研究生

学位
硕士

工作经历

2013-10~今, 中国科学院深圳先进技术研究院, 研究员
2010-10~2013-10,中国科学院深圳先进技术研究院, 副研究员
2010-01~2010-10,Mount Sinai Medical College, 助理教授
2007-09~2009-12,Weill Cornell Medical College, 助理研究员
2002-01~2007-08,Weill Cornell Medical College, 博士后
1998-08~2002-01,南方医院, 放射科执业医师

教授课程

医学影像学基础

专利与奖励

1. 中国科学院优秀导师,2022年度,CAST2022125

2. 中国科学院大学领雁奖,银奖,2023年度

专利成果
( 1 ) 一种基于肌酸化学交换饱和转移成像的测温方法及装置, 发明专利, 2022, 第 1 作者, 专利号: 202110540092.2

( 2 ) 磁化率加权图谱的构建方法和装置, 发明专利, 2022, 第 2 作者, 专利号: CN202210215371.6

( 3 ) 血管反应性的评价方法、装置、电子设备及存储介质, 发明专利, 2021, 第 2 作者, 专利号: CN202111248385.X

( 4 ) 脑胶质瘤术前分级方法、装置、设备及存储介质, 发明专利, 2018, 第 1 作者, 专利号: CN108710890A

( 5 ) 一种X光图像中人工圆形标记的自动检测和定位方法, 专利授权, 2016, 第 2 作者, 专利号: CN106097362A

( 6 ) 一种CT影像体表提取方法及系统, 专利授权, 2016, 第 2 作者, 专利号: CN106127750A

( 7 ) 一种外科手术中CT影像体表人工标记自动提取方法, 专利授权, 2016, 第 2 作者, 专利号: CN106127753A

( 8 ) 一种用于脑部MRI图像分类的图像处理方法, 专利授权, 2016, 第 2 作者, 专利号: CN105701499A

( 9 ) 一种医学影像中腹部骨骼分割方法及系统, 发明专利, 2016, 第 4 作者, 专利号: CN105701795A

( 10 ) 医学图像分类方法和系统, 发明专利, 2015, 第 2 作者, 专利号: CN104573742A

( 11 ) 一种磁共振大脑血氧水平测量方法, 发明专利, 2015, 第 2 作者, 专利号: CN104490393A

( 12 ) 基于梯度直方图分布匹配确定三维旋转量的方法和系统, 发明专利, 2015, 第 2 作者, 专利号: CN104537640A

( 13 ) 三维图像配准方法和系统, 发明专利, 2015, 第 2 作者, 专利号: CN104537638A

( 14 ) 大脑异常参数的提取方法和系统, 发明专利, 2015, 第 2 作者, 专利号: CN104346530A

( 15 ) 脑功能磁共振成像方法和系统, 发明专利, 2016, 第 4 作者, 专利号: CN104323776B

( 16 ) 功能磁共振成像方法和装置, 发明专利, 2015, 第 3 作者, 专利号: CN104337517A

( 17 ) 动态磁共振图像成像方法和系统, 发明专利, 2017, 第 3 作者, 专利号: CN104248437B

( 18 ) 用于脑部医学图像分类的图像预处理方法和系统, 发明专利, 2015, 第 2 作者, 专利号: CN104281856A

( 19 ) 磁共振弹性成像精确度检测方法, 发明专利, 2013, 第 4 作者, 专利号: CN102920457A

( 20 ) 磁共振弹性成像三维可视化方法及系统, 发明专利, 2012, 第 5 作者, 专利号: CN102631196A

( 21 ) 图像分析方法和系统, 发明专利, 2012, 第 4 作者, 专利号: CN102521832A

( 22 ) 基于弹性成像的图像处理方法及系统, 发明专利, 2012, 第 1 作者, 专利号: CN102521823A

( 23 ) 激励装置及其系统, 实用新型, 2012, 第 2 作者, 专利号: CN202198595U

发表论文

1. Siqi Cai, Yuchao Liang, Yinyan Wang, Zhen Fan, Zengxin Qi, Yufei Liu, Fanfan Chen, Chunxiang Jiang, Zhifeng Shi, Lei Wang, Lijuan Zhang, Shared and malignancy-specific functional plasticity of dynamic brain properties for patients with left frontal glioma, Cerebral Cortex, 2023;, bhad445, https://doi.org/10.1093/cercor/bhad445.

2. Yao Pu, Qinghua Zhang, Cheng Qian, Quan Zeng, Na Li, Lijuan Zhang*, Shoujun Zhou*. Semi-supervised segmentation of coronary DSA using mixed networks and multi-strategies. Computers in Biology and Medicine 2023; 156: 106493.

3. Yunling Li, Shangxuan Li, Hanqiu Ju, Tatsuya Harada, Honglai Zhang, Ting Duan, Guangyi Wang, Lijuan Zhang, Lin Gu, Wu Zhou. Correlated and individual feature learning with contrast-enhanced MR for malignancy characterization of hepatocellular carcinoma. Pattern Recognition 2023; 142: 109638.

4. Haoyuan Huang; Yanyan Xie; Guangyi Wang; Lijuan Zhang; Wu Zhou. DLNLF-net: Denoised local and non-local deep features. Comput Methods Programs Biomed, 2022, 227(227): 107201

5. Yunling Li, Sahngxuan Li, Hanqiu Ju, Tatsyta Harada, Honglai Zhang, Ting Duan, Guangyi Wang, Lijuan Zhang, Lin Gu, Wu Zhou. Correlated and individual feature learning with contrast-enhanced MRI for malignancy characterization of hepatocellular carcinoma. Pattern Recognition 2023; 109638.

6. Siqi Cai, Zhifeng Shi, Shihui Zhou, Yuchao Liang, Lei Wang, Kai Wang, Lijuan Zhang. Cerebrovascular Dysregulation in Patients with Glioma Assessed with Time-shifted BOLD fMRI. Radiology 2022; 304(1):155-163.

7. Huang H, Xie Y, Wang G, Zhang L, Zhou W. DLNLF-net: Denoised local and non-local deep features fusion network for malignancy characterization of hepatocellular carcinoma. Computer Methods and Programs in Biomedicine 2022; 227: 107201.

8. Zhou Wu, Jian Wanwei ,Cen, Xiaoping ,Zhang, Lijuan ,Guo, Hui ,Liu, Zaiyi ,Liang, Changhong , Wang, Guangyi. Prediction of Microvascular invasion of hepatocellular carcinoma with Contrast-enhanced MR using 3D Convolutional Neural Networks. FRONTIERS IN ONCOLOGY 2021; 10.3389/fonc.2021.588010

9. Wu Zhou, Adaptive multimodal fusion with attention guided deep supervision net for grading hepatocellular carcinoma. IEEE Journal of Biomedical and Health Informatics 2022; 26: 4123-4131.

10. Wu Zhou, Attention guided discriminative feature learning and adaptive fusion for grading hepatocellular carcinoma with Contrast-enhanced MR. Computerized Medical Imaging and Graphics 2022;

11. Wu Zhou, Adaptive multimodal fusion with attention guided deep supervision net for grading hepatocellular carcinoma. IEEE Journal of Biomedical and Health Informatics 2022; DOI: 10.1109/JBHI.2022.3161466.

12. Siqi Cai, Zhifeng Shi, Chunxiang Jiang, Kai Wang, Liang Chen, Lin Ai, Lijuan Zhang. Hemispheric specific functional remodeling and its relevance to tumor malignancy of cerebral glioma based on resting-state functional network analysis. Front Neurosci 2021; 14: 611075.

13. Wu Zhou, Wanwei Jian, Xiaoping Cen, Lijuan Zhang, Hui Guo, Zaiyi Liu, Changhong Liang, Guangyi Wang. Prediction of Microvascular invasion of hepatocellular carcinoma with Contrast-enhanced MR using 3D Convolutional Neural Networks. Front. Oncol 2021 11:588010.

14. Lijuan Zhang. Glioma characterization based on magnetic resonance imaging:challenge overview and future perspective. Glioma 2020; 3: 61-66.

15. Guangyi Wang, Wanwei Jian, Xiaoping Cen, Lijuan Zhang, Hui Guo, Zaiyi Liu, Changhong Liang, Wu Zhou. Prediction of microvascular invasion of HCC based on preoperative diffusion weighted MR using deep learning. Acad Radiology 2021; 28: S118-S127.

16. Chunxiang Jiang, Li Yi, Siqi Cai, Lijuan Zhang*. Ischemic stroke in Pontine and corona radiate: Location specific impairment of neural network investigated with Resting state Fmri. Frontiers in Neurology 2019; 10: 575.

17. Wu Zhou, Guangyi Wang, Guoxi Xie, Lijuan Zhang. Grading of hepatocellular carcinoma based on diffusion weighted images with multiple b-values using convolutional neural networks. Medical Physics 2019;46(9): 3951-3960.

18. Xia J, Yang Y, Hu C, Meng R, Jiang Q, Liu R, Yu Y, Sheng Z, Yan F, Zhang L, Shi Z, Zheng H, Qiu W. Evaluation of Brain Tumor in Small Animals Using Plane Wave-Based Power Doppler Imaging. Ultrasound Med Biol. 2019 Mar;45(3):811-822.

19. Shi Su, Na Lu, Lin Jia, Xiaojing Long, Chunxiang Jiang, Hang Zhang, Ye Li,  Kaibao Sun, Rong Xue, Dharmakumar R, Lijuan Zhang, Xin Liu, Guoxi Xie. High Spatial Resolution BOLD fMRI Using Simultaneous Multislice Excitation with Echo-Shifting Gradient Echo at 7 Tesla. MRI 2018; doi: 10.1016/j.mri.2018.08.019.

20. Xiaojing Long, Chunxiang Jiang, Lijuan Zhang*. Morphological Biomarker Differentiating MCI Converters from Non-converters: Longitudinal Evidence Based on Hemispheric Asymmetry. Behavioural Neurology 2018; 3954101.

21. Xiaojing Long, Lifang Chen, Chunxiang Jiang, Lijuan Zhang*. Prediction and classification of Alzheimer disease based on quantification of MRI deformation. PloS One 2017; 12(3):e0173372.

22. Wu ZhouLijuan Zhang*Kaixin WangShuting ChenGuangyi WangZaiyi LiuChanghong Liang. Malignancy Characterization of Hepatocellular Carcinomas Based on Texture Analysis of Contrast-Enhanced MR Images. JMRI 2017; 45:1476-1484.

23. Chunxiang Jiang, Li Yi, Shi Su, Caiyun Shi, Guoxi Xie, Lijuan Zhang*. Diurnal variations in neural activity of healthy human brain decoded with resting state blood oxygen level dependent Fmri. Frontier Hum Neurosci 2016; 10:634.

24. Lijuan Zhang, Xin Liu, Zhaoyang Fan, Na Zhang, Yiu-cho Chung, Weiqi Liao, Hairong Zheng, Debiao Li. Noncontrast MRA of Pedal arteries in Type II diabetes: effect of disease load on vessel visibility. Academic Radiology 2015; 22:513-519.

25. Hang Zhang, Lijuan Zhang, Yufeng Zang. Fluctuation amplitude and local synchronization of brain activity in the ultra-low frequency band: an fMRI investigation of continuous feedback of finger force. Brain Research 2015; 1629104-112.

26. Caiyun Shi, Guoxi Xie, Xiaoyong Zhang, Shi Su, Yongqin Zhang, Lijuan Zhang, Bensheng Qiu, Xin Liu. High spatiotemporal resolution fMRI using partial separability model. Bio-Medical Materials and Engineering 2015; 26: S1439-S1446.

27. Lei Zhang, Na Zhang, Jun Wu, Lijuan Zhang, Yanyan Huang, Xin Liu, Yiu-Cho Chung. High resolution three dimensional intracranial arterial wall imaging at 3T using T1 weighted SPACE. MRI 2015; 33(9):1026-34.

28. Wu Zhou, Lijuan Zhang*, Yaoqin Xie, Changhong Liang. A novel technique for prealignment in multimodality medical image registration. Biomed Res Int. 2014; 2014: 726852.

29. Weiqi Liao, Xiaojing Long, Chunxiang Jiang, Yanjun Diao, Xin Liu, Hairong Zheng, Lijuan Zhang*. Discerning mild cognitive impairment and Alzheimer disease from normal aging: morphologic characterization based on univaritate and multivariate models. Academic Radiology 2014; 21:597-604.

30. Chunxiang Jiang, Lijuan Zhang*, Chao Zou, Xiaojing Long, Xin Liu, Hairong Zheng, Weiqi Liao, Yanjun Diao. Diurnal Microstructural variations of Healthy Adult Brain revealed by Diffusion tensor imaging. PLOS ONE 2014; DOI: 10.1371/journal.pone.0084822.

31. Xiaojing Long, Lijuan Zhang*, Weiqi Liao, Chunxiang Jiang, Bensheng Qiu and Alzheimer’s disease neuroimaging initiative. Distinct laterality alterations distinguish mild cognitive impairment and Alzheimer’s disease from healthy aging: statistical parametric mapping with high resolution MRI. Human Brain Mapping 2013;34:3400-3410; 

32. Xiaojing Long, Weiqi Liao, Chunxiang Jiang, Dong Liang, Bensheng Qiu, Lijuan Zhang*. Healthy Aging: An automatic analysis of global and regional morphological alterations of human brain. Academic Radiology 2012; 19(7):785-793. 

33. Lijuan Zhang, David Yankelevitz, Claudia Henschke, Daryl Carter, Anthony P. Reeves, et al. Internal Growth of Non-solid Nodules: Radiologic-Pathologic Correlation. Radiology 2012; 263:279-286).

34. Na Zhang, Lijuan Zhang, Bensheng Qiu, Li Meng, Xiaoyi Wang, Bob Hou. Correlation of volume transfer coefficient K trans with histopathologic grades of gliomas. JMRI 2012; 36(2):355-363.

35.  AO Farooqi, M.Cham, Lijuan Zhang, MB. Beasley, JH. M. Austin , A.Miller , J. J Zulueta , H. Roberts, C. Enser, SJ. Kao, MK. Thorsen, JP. Smith, DM. Libby, R.Yip, DF. Yankelevitz, CI. Henschke. Lung Cancer Associated with Cystic Airspaces. AJR 2012; 199(4):781-786.

36. Chunxiang Jiang, Xiang Li, Fei Yan, Zhanhui Wang, Qiaofeng Jin, Feiyan Cai, Ming Qian, Xin Liu, Lijuan Zhang, Hairong Zheng.  Microfluidic Assisted Formation of Multifunctional Monodisperse Microbubbles for Diagnostics and Therapeutics. Micro & Nano Letters 2011; 6: 417-421.

37. Yao Huang, Dong ming Xu, Artit Jirapatnakul, Anthony P. Reeves, Ali Farooqi, Li juan Zhang, et al. CT- and computer-based features of small hamartomas. Clinical Imaging 2011; 35: 116-122.           

38. Yin Wu, Lijuan Zhang, Chao Zou, Hung-Fat Tse, Ed X. Wu. Transmural Heterogeneity of Left Ventricular Myocardium Remodeling in Postinfarct Porcine Model Revealed by MR Diffusion Tensor Imaging. JMRI 2011; 34(1): 43-49.

39. Lijuan Zhang, David F. Yankelevitz MD,Claudia I. Henschke PhD, MD, Artit C. Jirapatnakul, PhD, Anthony P. Reeves PhD,  Darryl Carter MD. Zone of transition: A Potential Source of Error in Tumor Volume Estimation. Radiology 2010; 256: 633-639.

40. Lijuan Zhang, David Yankelevitz, Claudia Henschke, Anthony Reeves, et al. Variations in Vascular Distribution in Small Lung Cancer. Lung Cancer 2010; 68: 389-393.

41. Madeline Vazquez, Darryl Carter, Elizabeth Brambilla, Lijuan Zhang, et al. Solitary and Multiple Resected Adenocarcinomas after CT Screening for Lung Cancer: Histopathologic Features and their Prognostic Implications. Lung Cancer 2009; 64: 148-154. 

42. Rajbir K. Gill, Madeline F. Vazquez, Arin Kramer, Megan Hames, Lijuan Zhang, Kerstin Heselmeyer-Haddad, Thomas Ried, Konstantin Shilo, Claudia Henschke, David Yankelevitz, Jin Jen. The Use of Genetic Markers to Identify Lung Cancer in Fine Needle Aspiration Samples. Clinical Cancer Research 2008; 14, 7481-7487.

43. Lijuan Zhang, Melanie Harrison, Linda A. Heier, Robert D. Zimmerman, Lisa Ravdin, Michael Lockshin, Aziz M. Uluğ. Diffusion changes in patients with systemic lupus erythematosus. Magn Reson Imaging 2007; 3:399-405.

44. S. M. Hersch, S. Gevorkian, K. Marder, C. Moskowitz, A. Feigin, M. Cox, P. Como, C. Zimmerman, M. Lin, MD, Lijuan Zhang, A. M. Ulug, M. F. Beal, W. Matson, M. Bogdanov, E. Ebbel, A. Zaleta, Y. Kaneko, B. Jenkins, N. Hevelone, H. Zhang, H. Yu, D. Schoenfeld, R. Ferrante, H. D. Rosas. Creatine in Huntington disease is safe, tolerable, elevates brain NAA, and reduces serum 8OH2’dG. Neurology 2006; 66: 250-252.

45. Michael H. Chappell, Aziz M.Ulug, Lijuan Zhang, Marcus H. Heitger, Barry D. Jordan, Robert D. Zimmerman, Richard Watts. Distribution of microstructural damage in the brains of professional boxers: A diffusion MRI study. JMRI. 2006; 24(3):537-42.

46. Lijuan Zhang, Linda A. Heier, Robert D. Zimmerman, et al. Diffusion anisotropy changes in the brains of professional boxers. AJNR 2006; 27(9):2000-4.

47. Lijuan Zhang, Kathleen M. Thomas, Matthew C. Davidson, B.J. Casey, Linda A. Heier, Aziz M. Uluğ. MR Quantitation of Volume and Diffusion changes in the Developing Brain. AJNR 2005; 26:45-49.

48. Lijuan Zhang, Lisa D. Ravdin, Norman Relkin, Robert D. Zimmerman, Aziz M.Ulug. Increased Diffusion in the Brain of Professional Boxers: A Preclinical Sign of Traumatic Brain Injury? AJNR 2003; 24: 52-57.  

49. Lijuan Zhang, Aziz M. Ulug, Robert D. Zimmerman, Michael Lin, Michael Rubin, M. Flint Beal. The diagnostic utility of FLAIR imaging in clinically verified amyotrophic lateral sclerosis. JMRI 2003; 17: 521-527.


发表著作
(1) 临床磁共振神经影像:弥散,灌注及波谱, Clinical MR Neuroimaging:Diffusion, Perfusion and Spectroscopy, Cambridge University Press, 2004-07, 第 5 作者
(2) 磁共振功能成像临床应用, Clinical Application of Functional MRI, 人民军医出版社, 2012-06, 第 5 作者

科研活动

学术会员
1. International Society for Magnetic Resonance in Medicine (ISMRM) 
2.  Radiological Society of North America (RSNA) 
3.  Organization of Human Brain Mapping (OHBM)

学术服务
1.  国际会议文章审稿人: ISMRM, OHBM, 生物医学工程与信息学会 BMEI 
2. 期刊文章审稿人: Neuroimage, AJNR, Neuroradiology,Frontiers of Human Neuroscience
3. 项目评审:  国家自然科学基金面上、青年、优青项目,广东省自然科学基金,深圳市科技创新委员会项目评阅人.


科研项目

( 1 ) 基于国产PET/MR 的脑重大疾病诊疗解决方案研究, 课题负责人, 国家任务, 2022-11--2025-10
( 2 ) 大脑肌酸CEST温度成像技术与胶质瘤诊疗应用研究, 主持, 国家任务, 2022-01--2024-12
( 3 ) 基于脑血管自主调节的胶质瘤临床异质性层析, 主持, 地方任务, 2021-01--2023-12
( 4 ) 缺血性脑卒中静脉响应时空异质性研究, 主持,地方任务, 2019-09--2021-09
( 5 ) 多核素同步一体化肿瘤分子成像仪器研制, 课题负责人, 国家任务, 2017-01--2021-12
( 6 ) 胶质瘤对脑功能影响的多模判定, 课题负责人, 国家任务, 2015-01--2019-08
( 7 ) 缺血性脑卒中氧代偿机制研究, 主持, 国家任务, 2014-01--2017-12
( 8 ) 磁共振热成像引导肝癌射频消融的关键问题研究, 参与, 国家任务, 2014-01--2017-12

合作情况

天坛医院,复旦大学附属华山医院,北京大学深圳医院, 香港大学滨海医院

指导学生

已指导学生

蔡思琦  硕士研究生  085208-电子与通信工程  

孟锐  硕士研究生  071010-生物化学与分子生物学  

姜春香  博士研究生  071010-生物化学与分子生物学  

周诗辉  硕士研究生  085210-控制工程  

蔡思琦  博士研究生  081104-模式识别与智能系统  

蒲尧  硕士研究生  085404-计算机技术