正高级
邢宇翔
研究员

  • 教育背景
  • 工作经历
  • 教学工作
  • 研究领域
  • 研究概况
  • 学术成果
  • 学术兼职
  • 奖励荣誉

1990-1994:北方交通大学(现名北京交通大学),通信与控制工程系的信息工程专业, 学士学位
1994-1997:清华大学,suncitygroup太阳新城的核电子学与探测技术专业,硕士学位
1998-2003:美国纽约州立大学石溪分校(State University of New York at Stony Brook),电子与计算机工程系, 博士学位

 

2003-2007 suncitygroup太阳新城助理研究员
2007-2019 suncitygroup太阳新城副研究员
2019-至今  suncitygroup太阳新城研究员


当前指导博士生3人,指导硕士生3人。合作博士后2人。

辐射成像的系统设计、CT重建方法、辐射图像处理、图像质量和系统性能评估等,尤其是X射线能谱CT成像理论和技术、深度学习在X 射线CT成像和异常检测中的应用。

作为项目负责人和骨干人员开展完成了包括国家自然科学基金重点和面上项目、科技部重点研发支撑计划、国家863项目、国防科工委基础研发项目等多项国家重点项目和一般项目的研究,至今已发表学术论文百余篇,授权专利几十项。

代表性论文:
1. C. Chen, Y. Xing, H. Gao, L. Zhang and Z. Chen, "Sam’s Net: A Self-Augmented Multi-Stage Deep-Learning Network for End-to-End Reconstruction of Limited Angle CT," IEEE Transactions on Medical Imaging, 2022, doi: 10.1109/TMI.2022.3175529.
2. Guo X Y, Zhang L, Xing Y X. Analytical covariance estimation for iterative CT reconstruction methods. Biomedical Physics & Engineering Express, 2022, 8(3):1-15, Biomed Phys Eng Express. 2022 Mar 11;8(3). doi: 10.1088/2057-1976/ac58bf
3. Liang K ,  Zhang L ,  Xing Y . Reciprocal-FDK reconstruction for x-ray diffraction computed tomography[J]. Physics in Medicine & Biology  2022.
4. A Zheng,K Liang,L Zhang,Y Xing, A CT image feature space (CTIS) loss for restoration with deep learning-based methods[J]. Physics in Medicine & Biology, 2022, 67(5):055010 (12pp).
5. Wu, C, Xing, Y, Zhang, L, Chen, Z, Zhu, X, Zhang, X, Gao, H. Fluence adaptation for contrast-based dose optimization in x-ray phase-contrast imaging. Med. Phys. 2021; 48: 6106– 6120.

6. A. Zheng, H. Yang, L. Zhang and Y. Xing, "Interweaving Network: A Novel Monochromatic Image Synthesis Method for a Photon-Counting Detector CT System," IEEE Access, vol. 8, pp. 217701-217710, 2020, doi: 10.1109/ACCESS.2020.3041078.
7. K. Liang, L. Zhang, H. Yang, Z. Chen and Y. Xing, "A Model-Based Unsupervised Deep Learning Method for Low-Dose CT Reconstruction," in IEEE Access, vol. 8, pp. 159260-159273, 2020, doi: 10.1109/ACCESS.2020.3020406.
8. T. Zhang, L. Zhang, Z. Chen, Y. Xing and H. Gao, "Fourier Properties of Symmetric-Geometry Computed Tomography and Its Linogram Reconstruction with Neural Network," in IEEE Transactions on Medical Imaging, doi: 10.1109/TMI.2020.3020720.
9. Gao, Y., Liang, Z., Xing, Y., Zhang, H., Pomeroy, M., Lu, S., Ma, J., Lu, H. and Moore, W. (2020), Characterization of tissue‐specific pre‐log Bayesian CT reconstruction by texture–dose relationship. Med. Phys., 47: 5032-5047.
10. Zheng A , Gao H , Zhang L , Xing Y. A dual-domain deep learning-based reconstruction method for fully 3D sparse data helical CT. Physics in Medicine and Biology, 2020.
11. Wu, C., Zhang, L., Chen, Z., Xing, Y., Li, X., Zhu, X., Arboleda, C., Wang, Z. and Gao, H. (2020), The trigonometric orthogonality of phase‐stepping curves in grating‐based x‐ray phase‐contrast imaging: Integral property and its implications for noise optimization. Med. Phys., 47: 1189-1198.

12. Zhang, T., Xing, Y., Zhang, L., Jin, X., Gao, H. and Chen, Z. (2020), Stationary computed tomography with source and detector in linear symmetric geometry: Direct filtered backprojection reconstruction. Med. Phys., 47: 2222-2236
13. Liang, K., Zhang, L., Yang, H., Yang, Y., Chen, Z. and Xing, Y. (2019), Metal artifact reduction for practical dental computed tomography by improving interpolation‐based reconstruction with deep learning. Med. Phys., 46: e823-e834
14. Hong-Kai Yang, Kai-Chao Liang, Ke-Jun Kang & Yu-Xiang Xing, Slice-wise reconstruction for low-dose cone-beam CT using a deep residual convolutional neural network, Nuclear Science and Techniques,2019, 30(4):53-61.
15. Huang K X , Deng Z , Xu X F , Yu-Xiang Xing. Optimized energy thresholds in a spectral computed tomography scan for contrast agent imaging[J]. Nuclear Science and Techniques, 2019, 30(3).
16. Guo, X., L. Zhang, and Y. Xing. A TV-constrained decomposition method for spectral CT. in SPIE medical Imaging. 2017. United States.
17. Huang, K. and Y. Xing. Optimization of energy thresholds of spectral CT for contrast agent imaging. in The 14th international meeting on Fully 3D image reconstruction in radiology ad nuclear medicine. 2017. Xi'an, China.

18. Fang, W., C. Wu, and Y. Xing. Windmill Artefact Reduction for helical CT via Dual-Dictionary Learning. in The 14th international meeting on Fully 3D image reconstruction in radiology ad nuclear medicine. 2017. Xi'an, China.
19. Yang, Hongkai, K. Kang, and Y. Xing. "Geometry calibration method for a Cone‐beam CT system." Medical Physics (2017).
20. Chuqing Feng,Qi Shen,Kejun Kang,Yuxiang Xing,An Empirical Material Decomposition Method (EMDM) for a Spectral CT,2016 IEEE Nuclear Science Symposium & Medical Imaging Conference.
21. Zhang, Huayu,Xing, Yuxiang,Limited-angle Multi-energy CT using Joint Clustering Prior and Sparsity Regularization,SPIE medical Imaging,San Diego,2016.2.28-2016.3.2, Vol. 9783, 97830D-1
22. H. Zhang and Y. Xing, "Reconstruction of limited-angle dual-energy CT using mutual learning and cross-estimation (MLCE)," 2016, p. 978344.
23. Shen L, Xing Y, Jin X. Dual energy CT reconstruction method for incomplete high energy data. Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2013 IEEE; 2013: IEEE.

24. Shen L, Xing Y, Jin X. Structural prior enhanced compressed sensing for CT reconstruction with incomplete data. Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2013 IEEE; 2013: IEEE.
25. Xing Y, Li Y, Shen L. A general adaptive decomposition method for multi-energy spectral CT. Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2013 IEEE; 2013: IEEE.
26. Le Shen, Yuxiang Xing, A Reconstruction Method for Slow Step KVp-Change Multi-Energy CT, Fully 3D 2013 Proceeding.
27. Jin X, Li L, Chen Z, Zhang L, Xing Y. Anisotropic total variation minimization method for limited-angle CT reconstruction. SPIE Optical Engineering+ Applications; 2012: International Society for Optics and Photonics.
28. Shen L, Jin X, Xing Y. A noise variance estimation approach for CT.  Proc SPIE 8506, Developments in X-Ray Tomography VIII: International Society for Optics and Photonics; 2012. p. 85061M.
29. Zheng P, Xing Y, Calibration of the error from spectrum estimation for a dual energy CT. Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2012 IEEE; 2012: IEEE.
30. Li X, Chen Z, Jiang X, Xing Y. Self-calibration for a multi-segment straight-line trajectory CT using invariant moment. SPIE Optical Engineering + Applications; 2012.


代表性授权发明专利:
1. 邢宇翔; 杜牧歌; 高河伟; 刘以农; 张丽; 梁凯超; 一种基于神经网络的CT伪影抑制方法、设备以及介质,中国,ZL201910861446.6
2. 邢宇翔; 梁凯超; 沈乐; 张丽; 杨洪恺; 康克军; 陈志强; 李荐民; 刘以农; 神经网络训练方法和设备、图像处理方法和设备和存储介质,中国,CN201811516267.0
3. 邢宇翔; 黄凯鑫; 张丽; 沈乐; 邓智; 陈志强; 刘以农; 基于K边缘成像的优化阈值方法、装置、设备和介质,中国,ZL201810942770.6
4. Yuxiang XING, Kaichao LIANG, Le SHEN, Li ZHANG, Hongkai YANG, Kejun KANG, Zhiqiang CHEN, Jianmin LI, Yinong LIU (2021), Image processing method using convolutional neural network, image processing device and storage medium, US10,984,565B2
5. Yuxiang Xing, Li Zhang, Jianmin Li, Zhiqiang Chen, Jianping Gu (2021), Method and device for reconstructing CT image and storage medium, US10896527B2.
6. 张丽;陈志强;沈乐;黄清萍;孙运达;金鑫;丁辉;邢宇翔,scanning imaging system for security inspection of an object and imaging method thereof,欧洲,3460531,2020
7. 邢宇翔;郭潇月;邓智;沈乐;张丽;陈志强;李亮,X-ray detection method and X-ray detector,欧洲2020, 3454048.
8. 邢宇翔;张丽;张华宇;沈乐,Spectral CT imaging reconstruction method and spectral CT imaging system, 欧洲(2021),3321886
9. 张丽;陈志强;张国伟;程建平;李元景;刘以农;邢宇翔;赵自然;肖永顺, Method for calibrating dual-energy CT system and method of image reconstruction, 欧洲 (2017) 1970731
10. Xing, Y., Le, S. H. E. N., Zhang, L., Chen, Z., & Li, L. (2016). X-ray dual-energy CT reconstruction method: U.S. Patent No. 9,513,235. Washington, DC: U.S. Patent and Trademark Office. 2016-12-6.
11. L. Shen, Y. Xing, Q. Shen, M. Cao, L. Zhang, and Z. Chen, Multi-energy CT imaging system and imaging method, US patent, 2016, US9326743B2.
12. Le Shen, Yuxiang Xing, Yuanji Li, Chuqing Feng, Li Zhang, Zhiqiang Chen, CT imaging system and method thereof, US 9495772B2, 2016.
13. L. Zhang, Z. Chen, L. Shen, Y. Xing, X. Jin, and Q. Huang, Spiral CT systems and reconstruction methods, US patent, 2016. US 9466137B2
14. Z. Chen, L. Zhang, Z. Zhao, Y. Xing, J. Hao, and L. Li, Apparatus and method for ray scanning imaging, US patent,  2016. US9448325B2
15. Li L, Zhang L, Chen Z, Zhao Z, Xing Y, Xiao Y, et al. METHODS AND DEVICES FOR LOCATING OBJECT IN CT IMAGING. US, US patent 9058658,  2014.
16. Zhang L, Chen Z, Liu Y, Xing Y, Zhao Z. Pseudo dual-energy material identification system and method with undersampling. US 8,831,305; 2014-09-09.
17. Chen Z, Zhang L, Wang X, Hu H, Wu H, Li Y, et al. Method and device for inspection of liquid articles. US patent 8,494,114 (2013).
18. Huang Z, Chen Z, Zhang L, Wang Z, Xing Y, Zhao Z, et al. X-ray dark-field imaging system and method. US Patents 8515002; 2013.
19. Chen Z, Zhang L, Liu Y, Xing Y, Zhao Z. DUAL-ENERGY UNDER-SAMPLING MATERIAL DISCRIMINATING METHOD AND SYSTEM. US8,582,857; 2013-11-12.
20. Zhang L, Chen Z, Kang K, Hu H, Xing Y, Duan X, et al. Image reconstruction method for high-energy, dual-energy CT system. US 8,306,180; 2012.
21. Zhang L, Chen Z, Zhang G, Cheng J, Li Y, Liu Y, Xing Y, Zhao Z, Xiao Y. Method for calibrating dual-energy CT system and method of image reconstruction. US Patents; 2011.
22. Chen Z, Gao H, Li Y, Liu Y, Xiao Y, Xing Y, et al. Linear track scanning imaging system and method. US; 2011.
23. Chen Z, Huang Z, Kang K, Li Y, Liu Y, Wang Y, Xing Y, Zhang L, Zhao Z. Phase contrast imaging method and apparatus. US 8,039,803; 2011.

 

SPIE医学成像物理委员会委员
中国体视学与图像分析编委会委员
Physics in medicine and biology编委员会委员
Medical Physics 副主编
Medical & Biological Engineering & Computing 副主编

2020耳科影像学的关键技术创新和应用,国家科学技术进步奖二等奖 (10/10)
2019 CT系统和用于CT系统的探测装置,第五届北京市发明专利奖, 一等奖 (7/15)
2018 双能CT动植物检疫智能查验系统关键技术开发及应用,北京市科学技术奖一等奖 (5/15)
2017检查系统和检查方法,中国专利优秀奖 (8/8)
2016 CT检查系统和检查方法,国际发明展览会金奖 (7/9)
2015口腔锥束CT 的关键技术研究和系统产业化,中国体视学学会,科学技术奖一等奖 (2/8)
2012 清华大学青年教师教学大赛一等奖
2008 清华大学实验技术成果奖一等奖
2006 CT和三维成像新进展荣誉奖

  • 地址:suncitygroup太阳新城(刘卿楼)
  • 邮编:100084
  • 电话:010-62785727
  • 邮箱:gwbgs@mail.tsinghua.edu.cn
Copyright © 2020 suncitygroup太阳新城(中国)集团官方网站 All Right Reserved