刘东 特任教授
发布时间:2021-04-12   浏览次数:136



姓名:

刘东 研究员

工作单位:

中国科学技术大学物理学院

中国科学院微观磁共振重点实验室

电话:

0551-63600469

E-mail:

dong2016(a)ustc.edu.cn

刘东,博士,中国科学技术大学研究员。主要从事数据反演、最优化理论与方法、医学电阻抗成像技术等方面的研究。在反问题求解、电阻抗成像算法以及其在生物医学成像上的应用等重要课题方面开展了大量研究。成功开发出对模型误差、噪声等具有高容差性的集动态与静态成像于一体的非线性差分成像算法。IEEE Transactions on Medical Imaging (10)IEEE Transactions on Instrumentation and Measurement (5)IEEE Transactions on Biomedical Engineering (2)IEEE Transactions on Computational Imaging (1)等期刊上发表论文40余篇。曾获总装备部科技进步二等奖一项。


  • 研究方向:

    1

    1、电磁成像/医学物理

    2、最优化算法/拓扑优化

    3、反演问题

    4、深度学习

  • 代表性研究论文:

  1. D Gu, D Liu, D Smyl, J Deng and J F Du. Supershape recovery from electrical impedance tomography data, IEEE Transactions on Instrumentation and Measurement, in press, 10.1109/TIM.2021.3064802

  2. D Liu, D Gu, D Syml, A Khambampati, J Deng and J F Du. Shape-driven EIT reconstruction using Fourier representations. IEEE Transactions on Medical Imaging, 40(2), 481-490, 2021.

  3. D Liu, D Syml, D Gu and J F Du. Shape-driven difference electrical impedance tomography. IEEE Transactions on Medical Imaging,39(12), 3801-3812, 2020.

  4. D Liu, D Gu, D Syml, J Deng and J F Du. Multiphase conductivity imaging with Electrical Impedance Tomography and B-spline level set method. IEEE Transactions on Instrumentation and Measurement, 69(12), 9634-9644, 2020.

  5. D Liu, D Gu, D Syml, J Deng and J F Du. Shape reconstruction using Boolean operations in electrical impedance tomography. IEEE Transactions on Medical Imaging,39(9), 2954-2964, 2020.

  6. D Syml and D Liu, Optimizing Electrode Positions in 2-D Electrical Impedance Tomography Using Deep Learning. IEEE Transactions on Instrumentation and Measurement, 69(9), 6030-6044, 2020.

  7. D Liu, D Gu, D Syml, J Deng and J F Du. B-Spline Level Set Method for Shape Reconstruction in Electrical Impedance Tomography. IEEE Transactions on Medical Imaging,39(6), 1917-1929, 2020.

  8. D Liu, D Syml and J F Du. Nonstationary shape estimation in electrical impedance tomography using a parametric level-set-based extended Kalman filter approach. IEEE Transactions on Instrumentation and Measurement, 69(5), 1894-1907, 2020.

  9. Z Li, J Zhang, D Liu and J F Du. CT Image-Guided Electrical Impedance Tomography for Medical Imaging. IEEE Transactions on Medical Imaging,39(6), 1822-1832, 2020.

  10. D Smyl, S Bossuyt, W Ahmad, A Vavilov and D Liu. An overview of 38 least squares-based frameworks for structural damage tomography. Structural Health Monitoring, 19(1), 215-239, 2020

  11. D Liu and J F Du. A moving morphable components based shape reconstruction framework for electrical impedance tomography. IEEE Transactions on Medical Imaging, 38(12), 2937-2948, 2019

  12. D Liu, D Gu, D Syml, J Deng and J F Du. B-spline based sharp feature preserving shape reconstruction approach for electrical impedance tomography. IEEE Transactions on Medical Imaging,38(11), 2533-2544, 2019

  13. D Liu, D Syml and J F Du. A Parametric Level Set based Approach to Difference Imaging in Electrical Impedance Tomography. IEEE Transactions on Medical Imaging, 38(1), 145-155,2019

  14. D Smyl and D Liu. Less is often more: Applied inverse problems using hp-forward models. Journal of Computational Physics, 399(108949), 2019

  15. S Ren, K Sun, D Liu and F Dong. A Statistical Shape Constrained Reconstruction Framework for Electrical Impedance Tomography. IEEE Transactions on Medical Imaging, 38(10), 2400-2410, 2019

  16. Z Wei, D Liu and X Chen. Dominant-Current Deep Learning Scheme for Electrical Impedance Tomography. IEEE Transactions on Biomedical Engineering, 66(9), 2546-2555, 2019

  17. D Liu, Y X Zhao, A Khambampati, A Seppanen and J F Du. A parametric level set method for imaging multi-phase conductivity using electrical impedance tomography. IEEE Transactions on Computational Imaging, 4(4), 552-561, 2018.

  18. D Liu, A K Khambampati and J F Du. A Parametric Level Set Method for Electrical Impedance Tomography. IEEE Transactions on Medical Imaging, 37(2), 451-460, 2018

  19. D Liu, E Kankare, A-M Laukkanen and P Alku. Comparison of parametrization methods of electroglottographic and inverse filtered acoustic speech pressure signals in distinguishing between phonation types. Biomedical Signal Processing and Control, 36, 183-193, 2017

  20. D Liu , V Kolehmainen, S Siltanen, A-M Laukkanen and A Seppänen. Non-linear difference imaging approach to three-dimensional electrical impedance tomography in the presence of geometric modeling error.IEEE Transactions on Biomedical Engineering, 63(9):1956-1965, 2016.

  21. D Liu, V Kolehmainen, S Siltanen and A Seppänen, A non-linear approach to difference imaging in EIT; assessment of the robustness in the presence of modelling errors. Inverse Problems 31. 035012, 2015. (highlight article)

  22. D Liu, V Kolehmainen, S Siltanen, A-M Laukkanen and A Seppänen. Estimation of conductivity changes in a region of interest with electrical impedance tomography. Inverse Problems and Imaging 9(1). 211-229. 2015.



 

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