刘东 副研究员
发布人:芮莹  发布时间:2017-06-26   动态浏览次数:1514



姓名:

刘东 副研究员

工作单位:

中国科学技术大学近代物理系

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,男,198311月生于湖南。中国科学技术大学副研究员。主要从事数学物理反问题解法及电阻抗成像技术研究,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、噪声等具有高容忍度的集动态与静态成像于一体的非线性差分成像算法。在包括IEEE Transactions on Medical ImagingIEEE Transactions on Biomedical EngineeringIEEE Transactions on Computational ImagingInverse Problems在内的国际学术期刊上发表论文30余篇。曾获总装备部科技进步二等奖一项。


  • 学历:

20019月-20057月,上海交通大学,应用物理,理学学士。

20099月-20117月,韩国济州国立大学,电子工程,工学硕士。

20119月-201512月,芬兰东芬兰大学,应用物理,博士。


  • 主要工作经历:

20058月-20098,中国工程物理研究院,助理研究员。

201512月-20162月,芬兰东芬兰大学,项目研究员。

20163至今,中国科学技术大学,副研究员。


  • 目前主持的主要科研项目:

1

基于参数化多相水平集方法的电阻抗成像算法研究,基金委面上项目,主持

2019.01-2022.12主持

2

基于电阻抗成像的三维人体声带成像仿真研究,安徽省自然科学基金面上

项目,2017.07-2019.06 主持



 代表性研究论文:

  1. D Liu and J F Du. A moving morphable components based shape reconstruction framework for electrical impedance tomography. IEEE Transactions on Medical Imaging, In press 2019. DOI: 10.1109/TMI.2019.2918566


  1. 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, In press 2019. DOI: 10.1109/TIM.2019.2921441

  2. 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,In press 2019. DOI: 10.1109/TMI.2019.2905245


  1. 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, In press. 2019.

  2. S Ren, K Sun, D Liu and F Dong. A Statistical Shape Constrained Reconstruction Framework for Electrical Impedance Tomography. IEEE Transactions on Medical Imaging, In press, 2019. DOI: 10.1109/TMI.2019.2900031

  3. Z Wei, D Liu and X Chen. Dominant-Current Deep Learning Scheme for Electrical Impedance Tomography. IEEE Transactions on Biomedical Engineering, In press, 2019. DOI: 10.1109/TBME.2019.2891676

  4. 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

  5. D Smyl, S Bossuyt and D Liu. OpenQSEI: a MATLAB package for Quasi Static Elasticity Imaging. SoftwareX 9, 73–76, 2019

  6. 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.

  7.  D Smyl, S Bossuyt, D Liu, Stacked elasticity imaging approach for visualizing defects in the presence of background inhomogeneity, Journal of Engineering Mechanics. 145(1), 06018006, 2018

  8. 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

  9. D Smyl, A Kim, D Liu, and S Bossuyt. Coupled digital image correlation and quasi-static elasticity imaging of inhomogeneous orthotropic composite structures. Inverse Problems 34(12), 2018.

  10. A K Khambampati, D Liu, S K Konki and K Y Kim. An Automatic Detection of the ROI Using Otsu Thresholding in Nonlinear Difference EIT Imaging. IEEE Sensors Journal, 18(12), 5133-5142, 2018

  11. D Liu, V Kolehmainen, and A Seppänen. Three Dimensional Simulation of Electrical Impedance Tomography for Imaging Vocal Folds within the Human Neck. Journal of Medical Imaging and Health Informatics, 7, 1509-1516, 2017

  12. 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

  13. X Qin, L Wang, D Liu, Y X Zhao, X Rong and J F Du. A 1.15 ps Bin Size and 3.5 ps Single-Shot Preci-sion Time-to-Digital-Converter with On-Board Offset Correction in an FPGA. IEEE Transactions on Nuclear Science, 64(12), 2951-2957, 2017.

  14. 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.

  15. A Rashid, S Kim, D Liu and K Y Kim. A Dynamic Oppositional Biogeography-Based Optimization Approach for Time-Varying Electrical Impedance Tomography. Physiological measurement, 37(6) 2016: 820, 2016.

  16. Y-W Wang, H Tang, D Wu, D Liu, Y-F Liu, A-N Cao and H-F Wang. Enhanced bactericidal toxicity of silver nanoparticles by the antibiotic gentamicin. Environ. Sci.: Nano, 3(4), 788-798, 2016

  17. 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)

  18. 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.

  19. D Liu, A K Khambampati, S Kim and K Y Kim. Multi-phase flow monitoring with electrical impedance tomography using level set based method. Nuclear Engineering and Design 289: 108-116, 2015.

  20. E Kankare, D Liu, A-M.Laukkanen and A Geneid. EGG and Acoustic Analyses of Different Voice Samples: Comparison between Perceptual Evaluation and Voice Activity and Participation Profile.Folia Phoniatr Logop. 65:98-104. 2013.