ZHOU Shoujun

SHOUJUN ZHOU: PhD, researcher and master tutor in Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences. His research interests are medical image processing, image guided therapy, and endovascular surgical robot. In 1993, He obtained his Bachelor's Degree at School of Electrical Engineering, Missile Institute of Air Force, Xian, China. He obtained her master degree from the Dept. of Computer Communication and Information System, Lanzhou University, China, in 2000. Since July 2001, he started working as a PhD student in Biomedical Engineering, First Military Medical University, China. Shoujun Zhou obtained his PhD in July 2004, after that he completed postdoctoral research at Beijing Institute of Technology and Zhejiang University respectively. Since PhD, he has presided over a number of national and provincial research projects: one 863 projects, four projects of the National Natural Science Foundation of China, and one project of the Strategic Partnership Program between Guangdong Province & Chinese Academy of Sciences. Now, he is one of the core members of "Image guided therapy technology" innovation team in Guangdong province. As a core member, he has got the second prize of science and technology in 2009 and the first prize of national science and technology progress in 2005 in Guangdong province, China. Dr. Shoujun Zhou has published 40 papers, of which 13 papers were retrieved by SCI. He has published 9 national invention patents. He is an expert assessment of National Fund Committee, Guangdong Province, and Shenzhen city. In addition, he is the "Biomedical Engineering and clinical medicine" contributing editors. 

Study and work Experience 

Research Interests 

Medical image processing, image guided therapy, blood vessel intervention robot. 

Representative Publications 

Lu P, Xia J, Li ZC, Xiong J, Yang J, Zhou SJ*, Wang L, Chen MY, Wang C. A vessel segmentation method for multi-modality angiographic images based on multi-scale filtering and statistical models. BioMedical Engineering OnLine, BioMed Eng OnLine (2016) 15:120 DOI 10.1186/s12938-016-0241-7. (SCI Impact Factor 1.382, JCR-3 )  

He BC, Huang C, Gregory CS, Zhou SJ et. al. Fast Automatic 3D Liver Segmentation Based on a Three-level AdaBoost-Guided Active Shape Model. Medical Physics, 2016, Vol. 43(5): 2421-2434. (SCI Impact Factor 2.496, JCR-2 ) 

Yang J , Fan JF, Ai DN , Zhou SJ, Tang SY and Wang YT. Brain MR image denoising for Rician noise using pre-smooth non-local means filter. BioMedical Engineering OnLine 2015, 14:2, http://www.biomedical-engineering-online.com/content/14/1/2. 

Zhou SJ, Chen WF, JIA FC, Hu QM, Xie YQ, Chen MY, Wu JH. Segmentation of brain magnetic resonance angiography images based on MAP-MRF with multi-pattern neighborhood system and approximation of regularization coefficient. Medical Image Analysis, 2013, Vol. 17(8): 1220-1235.  

Yang YQ, Zhou SJ, Peng S, En Q, Wu SB, and Xie YQ. Contour Propagation Using Feature-Based Deformable Registration for Lung Cancer. BioMed Research International, 2013, Vol. 2013, Article ID 701514, 8 pages. doi:10.1155/2013/701514  

 Chen MY, Hu QM, Liu ZC, Zhou SJ, & Li, X. D. Segmentation of Cerebral Edema Around Spontaneous Intracerebral Hemorrhage. Applied Mathematics & Information Sciences, 7(2), 563-570. (2013).  

Xiao DQ, Luo HL, Jia FC, Zhou SJ, Hu QM, Fang CH, Fan YF. A Kinect based automatic patient-to-image registration method for image guided percutaneous liver surgery[J]. Computers in Biology\s&\smedicine, 2013. 

Tang XJ, Zhou SJ*, Hu QM. Segmentation of Coronary CT Angiography Images Based on Deformable Model with New Edge Measures, Applied Mechanics and Materials, July 2013, Vol. 333-335, 888-896. 

Y. Wang, W. Chen, S. Zhou, T. Yu and Y. Zhang. MTV: modified total variation model for image noise removal. Electronics Letters, 12th May 2011, 47(10), pp: 592-594.  

Zhou SJ, Zhang ZB, Zhang J, Zeng YJ, Chen WF. Image-guided radiotherapy toward mobile tumor. Current Medical Imaging Reviews, 2011, 7: 157-166. 

Zhou SJ, Chen WF, Yang J, Wang YT. Automatic segmentation of coronary angiograms based on fuzzy inferring and probabilistic tracking. BioMedical Engineering Online, 2010. http://www.biomedical- engineering-online.com/ content/9/1/40.  

Lu ZT, Feng QJ, Zhou SJ, Chen WF. Medical image elastic registration based on discontinuity adaptive Markov Random Field Model. Imaging Science Journal, Feb., 2010, 58(4): 193-201. 

Zhou SJ, Yang J, Chen WF, Wang YT. New approach to the automatic segmentation of coronary artery in X-ray angiograms. Science in China Series F: Information Sciences, 2008, 51(1): 25-39.  

Liu WX, Yuan KH, Zou JY, Zhou SJ, Chen WF, Jia SW, and Xiao P. Nonnegative tensor factorization for brain CT image retrieval. International Journal of Innovative Computing Information and Control. 2008, 4 (11):  2911-2917. 

Yang J, Wang YT, Tang SY, Zhou SJ, Liu Y, Chen WF. Multiresolution elastic registration of X-ray angiography images using thin-plate spline. IEEE Transactions on Nuclear Science, 2007, 54 (1): 152-166.  

Zhou SJ, Chen WF, Zhang JG, Wang YT. Inferring the structures of coronary artery trees in angiogram images using the multi-feature based fuzzy recognition algorithm. Springer-Verlag Berlin Heidelberg), Lecture Notes in Computer Science, Vol. 4091: Medical Imaging and Augmented Reality (MIAR), Berlin, 2006, 325-332. 

周寿军, 张吉庆. 一种新型的不变性快速图像识别方法. 甘肃工业大学学报, 2000, 26(3): 73-79。 

李丽，刘越，王涌天，周寿军. 冠脉造影图像血管增强新方法研究，中国医学影像技术，23（1），pp: 129-132，2007年 

周寿军, 梁斌, 陈武凡. 心脏序列图像运动估计新方法: 基于广义模糊梯度矢量流场的形变曲线运动估计与跟踪. 计算机学报, 2003年, 26(11): 1470-1479。 

周寿军, 陈武凡. 医学图-像轮廓跟踪的广义模糊粒子滤波方法. 计算机学报, 2005, 28(1):88-96. 

周寿军, 陈武凡. 基于增强的粒子滤波算法的医学图像动态轮廓跟踪新方法. 第一军医大学校报, 2004, 24(6): 677-681 

周寿军, 梁斌，陈武凡. 一种基于模糊Gibbs随机场的运动估计新算法. 中国图像图形学报, 2004,  9(6): 699-705. 

周寿军, 陈武凡, 王涌天. 基于模糊识别与概率跟踪的冠状动脉造影图像血管提取. 电子学报, 2006, 34(7): 1270-1275, 2006 

林亚忠, 陈武凡, 杨丰, 周寿军. 基于混合金字塔吉布斯随机场的图像分割.中国生物医学工程学报, 2004, 23(1): 79-82. 

贾冬焱, 周寿军, 郝立巍, 李树祥. 基于相似性测度和似然模型的血管造影图像分割新方法. 光学技术., 2007, 33（2）: 252-257 

贾冬焱, 周寿军, 郝立巍, 李树祥. 自动测量造影图像中血管中心线和宽度的新方法. 中国生物医学工程学报, 26（2）: 214-219, 2007年. 

江贵平, 周寿军. 利用模糊识别算法分析冠状动脉造影图像中的血管结构。中国计算机学报, 2008, 31(1): 170-175页，2008年。 

杨健, 王涌天, 唐宋元, 周寿军, 刘越. 基于互信息量和薄板样条的X射线造影图像弹性配准. 中国电子学报, 2007, 35(1): 127-130. 

杨健, 王涌天, 唐宋元, 周寿军, 刘越. DSA血管三维重建技术分析与展望. 中国生物医学工程学报, 2005, 24(6): 655-661. 

周寿军, 肖世群, 崔智, 童若锋, 杨俊. 动态放射治疗中的肿瘤实时跟踪技术. 中国生物医学工程学报, 2008, 27(5): 773-782. 

周寿军, 周志洋, 邱建平, 王文辉, 尹洪男. 基于后验概率的呼吸信号预测. 中国生物医学工程学报, 2009, 28(2): 213-220. 

杨俊, 吴庆洲, 李洪亮, 周寿军*, 尹岭. 基于投影图像和CT容积图像的三维冠状动脉运动跟踪新方法. 生物医学工程与临床, 2010, 14(4): 294-299. 

杨俊, 吴庆洲, 杨 媛, 周寿军*, 尹岭. 实时图像引导放射治疗技术研究. 生物医学工程与临床, 2010, 14(5): 458-464.  

郑曲波, 李洪亮, 杨媛, 吴桂良, 周寿军*. 利用圆周探测和Gabor 滤波器鉴别血管结构的新方法. 南方医科大学学报, 2010, 30(9): 2063-2069. 

周辉, 杨媛，白利民，周寿军，卢振泰. 基于调幅-调频与熵图多模态医学图像的配准. 中国组织工程研究与临床康复, 2011,15(30): 5600-5603. 

李洪亮, 吴桂良, 刘颖,等. 三维血管造影数据的分割[J]. 生物医学工程与临床, 2012, 16(01). 

邢磊, 陈艳, 辜嘉,等. 内照射放疗机器人的研究[J]. 集成技术, 2012(02). 

杨俊, 郑曲波, 吴桂良, 高兴旺, 李洪亮, 周寿军*. 基于Metropolis-SA算法的脑部磁共振血管造影图像分割. 《生物医学工程与临床》，17(2): 113-118, 2013. 

杨俊, 周辉, 郑曲波, 吴桂良, 周寿军*. 基于高斯混合噪声和随机模型的冠脉造影数据仿真. 《系统仿真学报》，25（11）：2655-2661，2013年。 

周辉，何家驹，杨媛，向征，谢斓，李绍林，周寿军*. 一种分割冠状动脉X射线造影图像的有效方法. 《生物医学工程与临床》，17(4): 312-315, 2013. 

吴庆洲，向征，何家驹，谢斓，李绍林，周寿军*. 三维人体图谱设计关键技术研究. 《生物医学工程与临床》，17(2): ,108-112, 2013. 

周寿军,贾富仓,胡庆茂,谢耀钦,辜嘉,尚鹏. 基于Markov随机场的脑部三维磁共振血管造影数据的分割. 《集成技术》2014年第01期, 27-37. 

胡庆茂,李永红,贾富仓,吴剑煌,周寿军. 蛛网膜下腔出血计算机辅助诊断的现状与展望. 集成技术》2012年第01期 

陆培，王磊，李志成，周寿军. 一种普适的基于多尺度滤波和统计学混合模型的血管分割方法. 中国生物医学工程学会, 中国生物医学工程学报, 2016, 35(5):519-525.  

江贵平 秦文健 周寿军 王昌淼 医学图像分割及其发展现状计算机学报，Vol. 38 (6), pp. 1222-1241, 2015. 

Conference paper： 

Zhou SJ, Yang J, Xiao SQ, Wang WH. Real-time image-guided radiation therapy: A survey. Proceedings of The 3rd International Conference on Bioinformatics and Biomedical Engineering, Beijing, China, 2009. (EI) 

Zhou SJ, Zhang ZB, Chen WF, Yang J. Automatic Segmentation of Coronary Angiograms Based on Probabilistic Tracking. Proceedings of The 3rd International Conference on Bioinformatics and Biomedical Engineering, Beijing, China, 2009. (EI) 

Yang J, Zhang ZB, Zhou SJ, Yin HN. Respiratory motion prediction based on maximum posterior probability. Proceedings of The 3rd International Conference on Bioinformatics and Biomedical Engineering, Beijing, China, 2009. (EI) 

Zhou SJ, Chen WF, Liang B. A new method for robust contour tracking in cardiac image sequences. IEEE International Conference ISBI, Marriott Crystal Gateway, 2004, 181-184.  (EI) 

Chen WF, Zhou SJ, Liang B. LV contour tracking in MRI sequences based on the generalized fuzzy GVF. IEEE International Conference on Image Processing, 2004, Singapore, 373-376. (EI) 

Zhou SJ, Chen WF, Wang YT. Contour tracking of left ventricle based on generalized fuzzy particle filter. IEEE International Workshop on Nonlinear Signal and Image Processing, Japan, 2005, 567-570. (EI) 

Kui Fang, De-Feng Wang, L.M. Lui, Shou-Jun Zhou, W.C.W. Chu, A.T. Ahuja, Pheng Ann Heng. 3D model-based method for vessel segmentation in tof-MRA. Proceedings of the 2011 International Conference on Machine Learning and Cybernetics, Guilin, 10-13 July, 2011, pp: 1607-1611. 

Li YL, Zhou SJ, Wu JW, Ma X, Peng KW. A novel method of vessel segmentation for X-Ray coronary angiography images. The 4th International Conference on Computational and Information Sciences (ICCIS). Chongqing, China, 2012, pp: 468 – 471 (EI). 

Wang S, Li BN, Zhou SJ. A segmentation of coronary angiograms based on multi-scale filtering and region-growing. The 2012 International Conference on Biomedical Engineering and Biotechnology (iCBEB). Macau, China, 678-681 (EI). 

Xiao DQ, Luo HL, Jia FC*, Zhou SJ, Hu QM, Fang CH, Fan YF. A novel automatic patient-to-image registration method for image guided percutaneous liver surgery. The 6th WACBE World Congress on Bioengineering. 370-371. 2013.  

Zhou SJ, Chen WF*, JIA FC, HU QM*, Xie YQ, Chen MY, Shang P. Segmentation of Brain Magnetic Resonance Angiography Images Based on MAP-MRF with Multi-pattern Neighborhood System. In proceedings of The IEEE International Conference on Medical Imaging Physics and Engineering (ICMIPE), pp: 135-139, 19-20 October 2013, Shenyang, China.  

http://lifesciences.ieee.org/conferences/event/67-ieee-international-conference-on-medical-imaging-physics-and-engineering-icmipe 

http://www.biomedical-engineering-online.com/content/14/1/2 

Zhang D, Wang C, Zhou SJ*. A new method of vessel centerline extraction from 3d ct coronary angiography based on open-snake. International Conference on Biomedical Image and Signal Processing (ICBISP), IET, Beijing, P.R. China, 2015, 11.19-11.19. 

Lu P, Wang C, Zhou SJ*. A vessel segmentation method for MRA data based on probabilistic mixture model. International Conference on Biomedical Image and Signal Processing (ICBISP), IET, Beijing, P.R. China, 2015, 11.19-11.19 

Gong Z, Shen ZX, Zhang D, Zhou SJ*. One-click detection of coronary artery ostia from three-dimensional CTA data, IEEE International Conference on Information and Automation. Lijiang, China, IEEE, 2015, 8.08-8.10, pp:877- 880 

Intelligent Property 

Research Projects: 

Computer assisted diagnosis of coronary heart disease based on hybrid imaging. (National Science Foundation Program of China No. 61179020);  

Research of the key problems for Image-guided radiation therapy of dynamic tumor. (The Strategic Partnership Program between Guangdong Province & Chinese Academy of Sciences, No. 2011B090300079)  

Technologies for Image-guided bio-simulation radiotherapy machinery. (Program for development of talent team resources in Guangdong province, No. 2011S013) 

Computer-assisted analysis and clinical application research of cerebral arteriovenous malformations based on MRA. 

Research and development for cerebral vascular real-time interventional therapy with mobile surgical robot system. （The National High Technology Research and Development Program of China） 

 Research of surgical vessel intervention with immersing multi-perception mode 

Shenzhen Engineering Laboratory for Key Technologies on Intervention Diagnosis and Treatment Integration. 

Phone number: 

13249887110  0755-26967071 

Email 

sj.zhou@siat.ac.cn