General
Na Zhang  Female  Doctoral Supervisor  Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences
E-mail address: na.zhang@siat.ac.cn
Mailing address: 1068 Xueyuan Ave., Nanshan Dist., Shenzhen, Guangdong 518055


Research Areas

Development of magnetic resonance imaging (MRI) and PET/MR imaging techniques and its clinical applications in cerebrovascular diseases and tumors

Medical image processing and big data analysis based on artificial intelligence


Education

Sep. 2013~ Jun. 2018: PhD Degree

Lauterbur Research Center for Biomedical Imaging

Shenzhen Institutes of Advanced Technology

University of Chinese Academy of Sciences

Shenzhen, China

Sep. 2006~ May. 2009: M.Sc. Degree

Department of Biomedical Engineering

Central South University

Changsha, China

Sep. 2002~ Jun. 2006: B.Sc Degree

Department of Biomedical Engineering

Central South University

Changsha, China


Experience

   
Work Experience

Dec. 2018~ present: Associate Professor

Lauterbur Research Center for Biomedical Imaging

Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China

Nov. 2015~ Nov. 2016: Visiting Scholar

Biomedical Imaging Research Institute

Cedars-Sinai Medical Center, Los Angeles, USA

Oct. 2011~ Nov. 2018: Assistant Professor

Lauterbur Research Center for Biomedical Imaging

Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China

Jul. 2009~ Sep. 2011: Research Assistant

Lauterbur Research Center for Biomedical Imaging

Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China


Publications

   
Papers

1.      Hao Shen#, Pin He#, Ya Ren, Zhengyong Huang, Shuluan Li, Guoshuai Wang, Minghua Cong, Dehong Luo, Zhicheng Li, Dong Liang, Yin Wu, Zhanli Hu, Zhou Liu*, Na Zhang*. A Deep Learning Model based on Attention Mechanism for Automatic Segmentation of Abdominal Muscle and Fat for Body Composition Assessment. Quantitative Imaging in Medicine and Surgery 2022

2.      Zhenxing Huang#, Zhou Liu#, Pin He, Ya Ren, Shuluan Li, Yuanyuan Lei, Dehong Luo, Dong Liang, Dan Shao, Zhanli Hu, Na Zhang*. Segmentation-guided Denoising Network for Low-dose CT Imaging. Computer Methods and Programs in Biomedicine 2022; 227:107199.

3.      Hanyu Sun#, Yongluo Jiang#, Jianmin Yuan, Haining Wang, Dong Liang, Wei Fan, Zhanli Hu, Na Zhang*. High-quality PET image synthesis from ultra-low-dose PET/MRI using bi-task deep learning. Quantitative Imaging in Medicine and Surgery 2022; 12(12):5326-5342.

4.      Liwen Wan#, Haoxiang Li#, Lei Zhang, Shi Su, Cheng Wang, Baochang Zhang, Dong Liang, Hairong Zheng, Xin Liu*, Na Zhang*. Automated Morphologic Analysis of Intracranial and Extracranial Arteries Using Convolutional Neural Networks. British Journal of Radiology 2022 Aug 26; 20210031.

5.      Wenjing Xu#, Xiong Yang#, Yikang Li, Guihua Jiang, Sen Jia, Zhenhuan Gong, Yufei Mao, Shuheng Zhang, Yanqun Teng, Jiayu Zhu, Qiang He, Liwen Wan, Dong Liang, Ye Li, Zhanli Hu, Hairong Zheng, Xin Liu, Na Zhang*. Deep Learning based Automated Detection of Arterial Vessel Wall and Plaque on MR Vessel Wall Images. Frontiers in Neuroscience 2022 Jun 1;16:888814.

6.      Na Zhang, Xinfeng Liu, Jiayu Xiao, Shlee S Song, Zhaoyang Fan. Plaque Morphologic Quantification Reliability of 3D Whole-Brain Vessel Wall Imaging in Patients with Intracranial Atherosclerotic Disease: A Comparison with Conventional 3D Targeted Vessel Wall Imaging. Journal of Magnetic Resonance Imaging 2021 Jul; 54(1):166-174.

7.      Na Zhang, Jinhao Lyu, Lijie Ren, Lei Zhang, Zhangyan Fan, Liwen Wan, Ye Li, Dong Liang, Hairong Zheng, Xin Liu. Arterial Culprit Plaque Characteristics Revealed by Magnetic Resonance Vessel Wall Imaging in Patients with Single or Multiple Infarcts. Magnetic Resonance Imaging 2021; 84:12-17.

8.      Juan Gao, Qiegen Liu, Chao Zhou, Weiguang Zhang, Qian Wan, Chenxi Hu, Zheng Gu, Dong Liang, Xin Liu, Yongfeng Yang, Hairong Zheng, Zhanli Hu, Na Zhang*. An improved patch-based regularization method for PET image reconstruction. Quantitative Imaging in Medicine and Surgery 2021; 11(2):556-570.

9.      Tingting Zhu, Lijie Ren, Lei Zhang, Yinghui Shao, Liwen Wan, Ye Li, Dong Liang, Hairong Zheng, Xin Liu, Na Zhang*. Comparison of plaque characteristics of small and large subcortical infarctions in the middle cerebral artery territory using high-resolution magnetic resonance vessel wall imaging. Quantitative Imaging in Medicine and Surgery 2021; 11(1):57-66.

10.    Lin Jia#, Xia Wu#, Qian Wan, Liwen Wan, Wenxiao Jia*, Na Zhang*. Effects of Artery Input Function on Dynamic Contrast-Enhanced MRI for determining Grades of Gliomas. British Journal of Radiology 2021; 94(1119):20200699.

11.    Yingjie Xu, Zhijian Li, Xu Zhang, Wei Fan, Chao Zhou, Dashun Que, Jianmin Yuan, Qiang He, Dong Liang, Xin Liu, Hairong Zheng, Zhanli Hu, Na Zhang*. Low-dose PET image denoising based on coupled dictionary learning. Nuclear Instruments and Methods in Physics Research A. 2021; 1020:165908

12.    Xin Mao#, Shujun Zhao#, Dongfang Gao, Zhanli Hu, Na Zhang*. Direct and indirect parameter imaging methods for dynamic PET. Biomedical Physics & Engineering Express 2021; 7:045022.

13.    Lin Jia#, Na Zhang#, Hanjiaerbieke Kukun, Lijie Ren, Lei Zhang, Jinhao Lyu, Dong Liang, Ye Li, Hairong Zheng, Wenxiao Jia*, X Liu*. Three-dimensional Intra- and Extracranial Arterial Vessel Wall Joint Imaging in Patients with Cerebrovascular Disease. European Journal of Radiology 2020; 126:108921.

14.    Hengzhi Xue, Yueyang Teng, Changjun Tie, Qian Wan, Jun Wu, Ming Li, Guodong Liang, Dong Liang, Xin Liu, Hairong Zheng, Yongfeng Yang, Zhanli Hu, Na Zhang*. A 3D attention residual encoder-decoder least-square GAN for low-count PET denoising. Nuclear Instruments and Methods in Physics Research A 2020; 983:164638.

15.    Liwen Wan#, Na Zhang#, Lei Zhang, Xiaojing Long, Seng Jia, Ye Li, Dong Liang, Hairong Zheng, Xin Liu*. Reproducibility of simultaneous imaging of intracranial and extracranial arterial vessel walls using an improved T1-weighted DANTE-SPACE sequence on a 3 T MR system. Magnetic Resonance Imaging 2019 Oct; 62:152-158.

16.    Na Zhang, Fan Zhang, Zixin Deng, Qi Yang, Marcio A Diniz, Shlee S Song, Konrad H Schlick, M Marcel Maya, Nestor Gonzalez, Debiao Li, Hairong Zheng, Xin Liu, Zhaoyang Fan*. 3D whole-brain vessel wall MR imaging: A study on the reliability in the quantification of intracranial vessel dimensions. Journal of Cardiovascular Magnetic Resonance 2018 Jun 14; 20(1):39.

17.    Na Zhang, Lei Zhang, Qi Yang, Anqi Pei, Xiaoxin Tong, Yiu-Cho Chung, Xin Liu*. A Fast Screening Protocol for Carotid Plaques Imaging Using 3D Multi-contrast MRI without Contrast Agent. Magnetic Resonance Imaging 2017 Jun; 39:89-97.

18.    Na Zhang, Lijuan Zhang, Bensheng Qiu, Li Meng, Xiaoyi Wang, Bob L. Hou*. Correlation of volume transfer coefficient Ktrans with histopathologic grades of gliomas. Journal of Magnetic Resonance Imaging 2012 Aug; 36(2):355-63.

19.      Na Zhang, Zhensheng Deng*, Fang Wang, Xiaoyi Wang. The effect of different number of diffusion gradients on SNR of diffusion tensor-derived measurement maps. Journal of Biomedical Science and Engineering 2009 Apr; 2(2):96-101.

Patents

1.     Hairong Zheng, Xin Liu, Na Zhang, Zhanli Hu, Dong Liang, Yongfeng Yang, Method and device of processing plaques in magnetic resonance imaging of vessel wall, and computer device, United States Utility Patent: US 11,210,783 B2, authorization date: 2021-12-28.

2.     Hairong Zheng, Xin Liu, Zhanli Hu, Na Zhang, Dong Liang, Yongfeng Yang, Model training methods, devices, devices and storage media for plaque segmentation, National Invention Patent: ZL201811100334.0, authorization date: 2021-08-31.

3.     Hairong Zheng, Xin Liu, Na Zhang, Zhanli Hu, Qihang Chen, Dong Liang, Yongfeng Yang, A training method and device for a magnetic resonance imaging model, National Invention Patent: ZL202010113026.2, authorization date: 2021-03-09.

4.     Hairong Zheng, Xin Liu, Zhanli Hu, Na Zhang, Dong Liang, Yongfeng Yang, Plaque processing methods, devices and computing equipment for magnetic resonance vascular wall imaging, National Invention Patent: ZL201810818827.1, authorization date: 2021-01-22.

5.     Hairong Zheng, Xin Liu, Na Zhang, Lei Zhang, Lin Jia, Wenxiao Jia, Chao Zou, Dong Liang, Liwen Wan, Shihua Zhao, Magnetic resonance vessel wall imaging method, device, equipment and storage medium, National Invention Patent: ZL201810813453.4, authorization date: 2020-06-12

6.     Hairong Zheng, Xin Liu, Na Zhang, Lei Zhang, Lin Jia, Wenxiao Jia, Chao Zou, Dong Liang, Liwen Wan, Shihua Zhao, Method, device, equipment and medium for suppression of cerebrospinal fluid signal in magnetic resonance vessel wall imaging, National Invention Patent: ZL201810813443.0, authorization date: 2020-05-22.






Research Interests

Development of MRI and PET/MR imaging technology and its clinical application in cerebrovascular diseases and tumors

Medical image processing and big data analysis based on artificial intelligence



Conferences

1.     Bingyu Yao, Zhou Liu, Yumin Chen, Dong Liang, Xin Liu, Hairong Zheng, Na Zhang*. Differentiation of benign and malignant breast cancer lesions based on DCE-MRI voxel-by-voxel time-intensity curve prorile ratios. Society for Magnetic Resonance Angiography 34th Annual International Conference (SMRA 2022 annual meeting), 23-26 August 2022, Los Angeles, CA, oral power pitch presentation, p. 103

2.      Shuai Shen, Wenjing Xu, Hongbing Ma, Xiaoyi Lv, Guanxun Cheng, Liwen Wan, Lei Zhang, Ye Li, Dong Liang, Xin Liu, Hairong Zheng, Na Zhang*. Automatic analysis of carotid vessel wall in MR black blood images using custom convolutional trajectories. 2022 Joint Annual Meeting ISMRM-ESMRMB, 07-12 May 2022, London, England, UK, oral power pitch, p. 3158

3.      Fuliang Lin, Zhou Liu, Qinglei Zhou, Pengyu Gao, Jie Wen, Meng Wang, Ya Ren, Dehong Luo, Ye Li, Dong Liang, Xin Liu, Hairong Zheng, and Na Zhang*. 3D Automatic segmentation of breast lesion in dynamic contrast enhanced MRI using deep convolutional neural network. 2022 Joint Annual Meeting ISMRM-ESMRMB, 07-12 May 2022, London, England, UK, oral power pitch, p. 3184

4.      Changxiang Wang, Yongsheng Ao, Lihua Qiu, Lan Mu, Junhui Huang, Shuheng Zhang, Shimin Yang, Xin Liu, Hairong Zheng, and Na Zhang*. Effects of Contrast Agents on Diffusion-Weighted Imaging and T2-Weighted Imaging for diagnosis of Breast tumor. 2022 Joint Annual Meeting ISMRM-ESMRMB, 07-12 May 2022, London, England, UK, digital poster, p. 4742.

5.      Wenjing Xu, Qing Zhu, Guanxun Cheng, Liwen Wan, Lei Zhang, Qiang He, Yongming Dai, Dong Liang, Ye Li, Hairong Zheng, Xin Liu, and Na Zhang*. A Semantic Segmentation Method with Emphasizing Edge information for Automatic Vessel Wall Analysis. 2022 Joint Annual Meeting ISMRM-ESMRMB, 07-12 May 2022, London, England, UK, digital poster, p. 3204

6.      Wenjing Xu, Sen Jia, Qing Zhu, Yikang Li, Hongying Zhang, Shuai Shen, Fuliang Lin, Ye Li, Dong Liang, Xin Liu, Hairong Zheng, and Na Zhang*. Super-resolution MR Vessel Wall Images Using deep learning. 2022 Joint Annual Meeting ISMRM-ESMRMB, 07-12 May 2022, London, England, UK, digital poster, p. 4716

7.      Yuzhuo Gu, Zongyang Li, Weiqiong Ma, Guanxun Cheng, Liwen Wan, Lei Zhang, Yongming Dai, Ye Li, Dong Liang, Xin Liu, Hairong Zheng, and Na Zhang*. Non-contrast enhanced MR vessel wall image acquisition based on generation adversarial network. 2022 Joint Annual Meeting ISMRM-ESMRMB, 07-12 May 2022, London, England, UK, digital poster, p. 4475

8.      Shuai Shen, Xiao Liu, Zhuyuerong Li, Tao Jiang, Hairong Zheng, Xin Liu, and Na Zhang*. Automatic segmentation of middle cerebral artery plaque based on deep learning. ISMRM 29th Annual Meeting, 15-20 May 2021, Vancouver, Canada, digital poster, p.2634

9.      Xia Wu, Zhou Liu, Meng Wang, Zhuo Ren, Ya Ren, Jie Wen, Qian Yang, Xin Liu, Hairong Zheng, and Na Zhang*. Combination of pharmacokinetic parameters and texture features of DCE-MRI for predicting preoperative classification of breast cancer. ISMRM 29th Annual Meeting, 15-20 May 2021, Vancouver, Canada, digital poster, p.1115

10.   Shuai Shen, Xiong Yang, Jin Fang, Guihua Jiang, Shuheng Zhang, Yanqun Teng, Xiaomin Ren, Lele Zhao, Jiayu Zhu, Qiang He, Hairong Zheng, Xin Liu, and Na Zhang*. Automatic segmentation of arterial vessel wall on undersampled MR image using deep learning. ISMRM 29th Annual Meeting, 15-20 May 2021, Vancouver, Canada, digital poster, p.3269

11.   Wenjing Xu, Xiong Yang, Yikang Li, Jin Fang, Guihua Jiang, Shuheng Zhang, Yanqun Teng, Xiaomin Ren, Lele Zhao, Jiayu Zhu, Qiang He, Hairong Zheng, Xin Liu, and Na Zhang*. Deep Learning for MR Vessel Wall Imaging: Automated Detection of arterial vessel wall and plaque. ISMRM 29th Annual Meeting, 15-20 May 2021, Vancouver, Canada, digital poster, p.2642

12.    Yikang Li, Zhanli Hu, Sen Jia, Wenjing Xu, Zongyang Li, Hairong Zheng, Xin Liu, and Na Zhang*. Automatic segmentation of glioma based on MRI K-space data. ISMRM 29th Annual Meeting, 15-20 May 2021, Vancouver, Canada, digital poster, p.0948

13.   Na Zhang, Tingting Zhu, Lijie Ren, Lei Zhang, Zhangyan Fan, Liwen Wan, Hairong Zheng, Xin Liu. Comparison of plaque characteristics between patients with small and large subcortical infarction using high resolution MR vessel wall imaging. ISMRM 28th Virtual Annual Meeting, 8 -14 August 2020, e-poster presentation, p.2124.

14.   Na Zhang, Xinfeng Liu, Qi Yang, Shlee Song, Zhenliang Xiong, Lei Zhang, Hairong Zheng, Xin Liu, Zhaoyang Fan. Clinical reliability of 3D whole-brain vessel wall imaging in patients with intracranial atherosclerotic disease: a comparison with conventional targeted imaging. ISMRM 27th Annual Meeting, 11-16 May 2019, Montréal, Canada, e-poster presentation, p.3240.

15.   Na Zhang, Lin Jia, Lei Zhang, Jinhao Lyu, Wenxiao Jia, Hairong Zheng, Xin Liu. Three Dimensional Intra- and Extra-cranial Arterial Vessel Wall Joint Imaging in Patients with ischemic stroke. Joint Annual Meeting ISMRM-ESMRMB 2018, 16-21 June 2018, Paris, France, oral presentation, p.377. Magna Cum Laude

16.   Na Zhang, Jinhao Lyu, Lei Zhang, Lin Jia, Wenxiao Jia, Hairong Zheng, Xin Liu. Infarct Pattern and Large Artery Atherosclerosis Features Revealed by Combined Intra- and Extra-cranial Vessel Wall Imaging in Patients with Non-cardiac Acute and Sub-acute Ischemic Stroke. Joint Annual Meeting ISMRM-ESMRMB 2018, 16-21 June 2018, Paris, France, e-poster presentation, p.3477.

17.   Na Zhang, Fan Zhang, Zixin Deng, Qi Yang, Xiaoming Bi, Debiao Li, Xin Liu, Zhaoyang Fan. Whole-Brain Vessel Wall MR Imaging Using Inversion- Recovery Prepared SPACE: Reproducibility and Accuracy of Intracranial Artery Morphology. ISMRM 25th Annual Meeting, 22-27 April 2017, Hawaii, USA, oral power pitch presentation, p.333.

18.   Na Zhang, Zhaoyang Fan, Xin Liu. Comparison of 3D non-contrast enhanced foot MR angiography using steady-state free precession with single and multi-directional FSD modules preparation. ISMRM 23rd Annual Meeting, 30 May-5 June 2015, Toronto, Ontario, Canada, e-poster presentation, p.4499.

19.   Na Zhang, Hanwei Chen, Xin Liu. Noncontrast-enhanced MR angiography in the calf: A comparison between Flow-sensitive dephasing prepared steady-state free precession and quiescent-interval single-shot in patients with diabetes. ISMRM 23rd Annual Meeting, 30 May-5 June 2015, Toronto, Ontario, Canada, oral presentation, p.975.

20.   Na Zhang, Zhaoyang Fan, Fei Feng, Pengcheng Liu, Xin Liu, Dehe Weng, Renate Jerecic, Yongming Dai, Hairong Zheng, and Debiao Li. Clinical evaluation of peripheral non-contrast enhanced MR angiography (NCE-MRA) using steady-state free precession (SSFP) and flow sensitive dephasing (FSD) in diabetes. ISMRM 20th Annual Meeting, 5-11 May 2012, Melbourne, Australia, oral presentation, p.0528. Summa Cum Laude

21.   Na Zhang, Anqi Pei, Lei Zhang, Xiaoxin Tong, Xin Liu, and Yiu-Cho Chung. A New Approach for Noncontrast MR Imaging of Carotid Artery Disease. ISMRM 20th Annual Meeting, 5-11 May 2012, Melbourne, Australia, e-poster presentation, p.3828.

22.   Na Zhang, Guanghua Song, Weiqi Liao, Weijie Tao, Leslie Ying, and Dong Liang. Accelerating Dynamic Contrast-Enhanced MRI Using K-T ISD. ISMRM 20th Annual Meeting, 5-11 May 2012, Melbourne, Australia, e-poster presentation, p.4221.

23.   Na Zhang, Zhaoyang Fan, Fei Feng, Pengcheng Liu, Qi Yang, Dehe Weng, Renate Jerecic, Xin Liu, Hairong Zheng, Debiao Li. Detection of peripheral arterial disease using non-contrast enhanced MR angiography (NCE-MRA) in patients with diabetes. CSMRM & OCSMRM Joint Meeting 2012 and ISMRM Workshop, 14-16 Dec 2012, Xiamen, China, oral presentation, p.2.9.

24.   Na Zhang, Zhaoyang Fan, Dehe Weng, Lixin Jin, Fei Feng, Xin Liu, Debiao Li. Evaluation of non-contrast MR angiography using steady-state free precession and flow sensitive dephasing for detecting peripheral arterial disease in patients with diabetes. RSNA 97th annual meeting, 27 Nov-2 Dec 2011, Chicago, USA, oral presentation.

25.   Na Zhang, L. Zhang, X. Liu, H. Zheng, J. Carpenter, B. L. Hou. Effects of artery input function on dynamic contrast enhanced MRI for determining grades of gliomas. ISMRM 19th Annual Meeting, 7-13 May 2011, Montreal, Canada, e-poster presentation, p.3901.

26.   Na Zhang, Zhensheng Deng, Li Meng, Xiaoyi Wang, Weihua Liao, Bob L. Hou. Quantitative correlation of volume transfer coefficient Ktrans with histopathologic grade of gliomas. ISMRM-ESMRMB Joint Annual Meeting 2010, 1-7 May 2010, Stockholm, Sweden, e-poster presentation, p.4809.


Collaboration

Long-term cooperation with Shanghai United Imaging Healthcare Healthcare Co., Ltd., and a number of domestic third-class hospitals, focusing on the development of novel magnetic resonance imaging technology for cerebrovascular diseases and tumors, research and development of medical image post-processing software based on artificial intelligence, and clinical application research.


Students

已指导学生

冷清谱  硕士研究生  085210-控制工程  

现指导学生

王国帅  硕士研究生  085400-电子信息  

梁港林  硕士研究生  085400-电子信息  

黄正勇  硕士研究生  085400-电子信息  

张茜倩  硕士研究生  083100-生物医学工程  

赵栋楠  硕士研究生  085400-电子信息  

Honors & Distinctions

1.      ISMRM E. K. Zavoisky Stipend (2019, 2020)

2.      First Prize of Science and Technology Progress Award of Chinese Institute of Electronics “Cerebrovascular magnetic resonance imaging technology and its application” (2018)

3.      High-Level Professional Reserve Talent in Shenzhen (2017-2022)

4.      Overseas High-Caliber Personnel (Level C) (2018-2023)

5.      High-Level Talent in Nanshan District of Shenzhen (Level C) (2018-2023)

6.      ISMRM Educational Stipend (2012, 2018)

7.      ISMRM MERIT AWARD: Magna Cum Laude (2018)

8.      ISMRM MERIT AWARD: Summa Cum Laude (top 3%) (2012)

9.      CSMRM & OCSMRM Oral Presentation Award (2012)

10.   Radiology Branch of Chinese Medical Association Oral Presentation Award (2012)