• 

  馮原

  
  

  馮原博士分別於2006年和2008年在哈爾濱工業大學獲得學士和碩士學位🧙🏿‍♂️，2012年在美國聖路易斯華盛頓大學獲得機械工程博士學位👳🏿。2013年和2014年分別在聖路易斯華盛頓大學醫意昂4和德州大學奧斯汀分校從事博士後研究；2014年底就職蘇州大學👀🤲🏿，2018年加入意昂4体育平台🤛🏼；建立了電磁驅動彈性成像系統並在臨床應用推廣，開發了實時磁共振介入成像方法並應用於腦組織介入手術機器人，建立了基於生物力學開展腦科學和腦疾病的理論和方法，已發表期刊論文46篇，授權發明專利13項，承擔國自然面上項目2項，優青項目1項，以及重點研發計劃子課題1項🧑🏿‍🍳，主要研究方向是腦生物力學和磁共振成像。

  
  

  
  

教授 意昂4体育平台 2024至今

副教授 意昂4体育平台 2018-2024

腦生物力學，磁共振彈性成像，磁共振介入成像

實驗室網址：https://faculty.sjtu.edu.cn/fengyuan/zh_CN/index.htm；https://github.com/aaronfeng369

1.      馮原, 何釗, 孫青芳, 孫伯民, 嚴福華, 楊廣中. 磁共振介入成像及其臨床應用, 《診斷學理論與實踐》,  Advances in interventional magnetic resonance imaging and its clinical applications, J Diagn Concepts Pract, 2024, 23(2):108-113.

2.      Feng, Y.^*, Qiu, S., Yan, F., Yang, G-Z., (2024) Magnetic Resonance Elastography and its application in brain diseases, Chinese J Magn Reson, 41(2):209-223. 馮原，邱蘇豪，嚴福華，楊廣中👨🏿‍💼，磁共振彈性成像及其在腦疾病中的應用，《波譜學雜誌》, 2024, 41(2):209-223.

3.      Bao, Y., Qiu, S., Li, Z., Yang, G., Feng, Y., Yue, Q. (2024). Preoperative assessment of meningioma consistency using a combination of magnetic resonance elastography and diffusion tensor imaging. American Journal of Neuroradiology, ajnr.A8385.

4.      Suhao Qiu, Zhao He, Runke Wang, Ruokun Li, Wei Jin, Liang Chen, Jun Liu, Fuhua Yan, GuangZhong Yang, and Yuan Feng* (2024). Indirect Shear Wave Excitation for Brain Magnetic Resonance Elastography with Minimal Cerebral Blood Flow Alteration, IEEE Transactions on Biomedical Engineering.

5.      Wang, R. ^#, Wang, Y. ^#, Qiu, S., Ma, S., Yan, F., Yang, G.-Z.*, Li, R.*, Feng, Y.* (2024), A Comparative Study of Three Systems for Liver Magnetic Resonance Elastography. J Magn Reson Imaging. 

6.      Xu, C.-X., Kong, L., Jiang, H., Jiang, Y., Sun, Y.-H., Bian, L.-G., Feng, Y., & Sun, Q.-F. (2024). Analysis of brain structural covariance network in Cushing disease. Heliyon, 10(7), e28957.

7.      He, Z., Y.-N. Zhu, Y. Chen, Y. Chen, Y. He, Y. Sun, T. Wang, C. Zhang, B. Sun, F. Yan, X. Zhang, Q.-F. Sun, G.-Z. Yang and Y. Feng (2023). A deep unrolled neural network for real-time MRI-guided brain intervention. Nature Communications 14(1): 8257.

8.      Lin, H., Qiu, S., Yang, Y., Yang, C., Shen, Z., Chen, Y., Zhang, Z., Feng, Y.*, & Yan, F.* (2023). Three-dimensional magnetic resonance elastography combining proton-density fat fraction precisely identifies metabolic dysfunction-associated steatohepatitis with significant fibrosis. Magnetic Resonance Imaging, 104, 1-8.

9.      Huang, S., Lou, C., Zhou, Y., He, Z., Jin, X., Feng, Y., Gao, A., & Yang, G.-Z.* (2023). MRI-guided robot intervention—current state-of-the-art and new challenges. Med-X, 1(1), 4.

10.  Feng, Y.*, Murphy, M. C., Hojo, E., Li, F., & Roberts, N. (2023). Magnetic Resonance Elastography in the Study of Neurodegenerative Diseases. Journal of magnetic resonance imaging.

11.  Ma, S., Wang, R., Qiu, S., Li, R., Yue, Q., Sun, Q., Chen, L., Yan, F., Yang, G. Z., & Feng, Y.* (2023). MR Elastography With Optimization-Based Phase Unwrapping and Traveling Wave Expansion-Based Neural Network (TWENN). IEEE Transactions on Medical Imaging, 42(9), 2631-2642.

12.  Kong, L., Qiu, S., Chen, Y., He, Z., Huang, P., He, Q., Zhang, R., Feng, X-Q., Deng, L., Li, Y., Yan, F., Yang, G-Z., Feng, Y.*, Assessment of vibration modulated regional cerebral blood flow with MRI, NeuroImage, 2023, 119934.

13.  Chen, Y., Li, R., Yang, Y., Ma, D., Zhou, J., Wang, C., Kong, L., Chen, Y., Yan, F., & Feng, Y.* (2022). Correlation analysis of structural and biomechanical properties of hepatocellular carcinoma tissue. Journal of Biomechanics, 141, 111227.

14.  Feng, Y.*, Qiu, S. H., Chen, Y., Wang, R. K., He, Z., Kong, L. H., Chen, Y., & Ma, S. Y. (2022). Viscoelastic Characterization of Soft Tissue-Mimicking Gelatin Phantoms using Indentation and Magnetic Resonance Elastography. Jove-Journal of Visualized Experiments(183).

15.  Feng, Y.*, Chen, Y., Yao, Y., Li, X., Zhang, A., & Genin, G. M. (2022). The brain as a structure: A model of how fluid–structure interactions stiffen brain tissue after injury. Engineering Structures, 256, 113960.

16.  He, Z., Zhu, Y. N., Qiu, S., Wang, T., Zhang, C., Sun, B., Zhang, X.*, & Feng, Y.* (2022). Low-Rank and Framelet Based Sparsity Decomposition for Interventional MRI Reconstruction. IEEE Transactions on Biomedical Engineering, 69(7), 2294-2304.

17.  Wang, R., Chen, Y., Li, R., Qiu, S., Zhang, Z., Yan, F., & Feng, Y.* (2022). Fast magnetic resonance elastography with multiphase radial encoding and harmonic motion sparsity based reconstruction. Phys Med Biol, 67(2), 25007.

18.  Qiu, S., He, Z., Wang, R., Li, R., Zhang, A., Yan, F., & Feng, Y. *(2021). An electromagnetic actuator for brain magnetic resonance elastography with high frequency accuracy. NMR in Biomedicine, e4592, 1–17. (cover image paper)

19.  Chen, Y., Qiu, S., He, Z., Yan, F., Li, R., & Feng, Y. *(2021). Comparative analysis of indentation and magnetic resonance elastography for measuring viscoelastic properties. Acta Mechanica Sinica, 37(3), 527–536.

20.  Lai, C., Chen, Y., Wang, T., Liu, J., Wang, Q., Du, Y., & Feng, Y. *(2020). A machine learning approach for magnetic resonance image–based mouse brain modeling and fast computation in controlled cortical impact. Medical & Biological Engineering & Computing, 58(11), 2835-2844.

21.  Chen, Y., Qiu, S., Wang, C., Li, X., Tang, Y., & Feng, Y.* (2020). Measurement of viscoelastic properties of injured mouse brain after controlled cortical impact. Biophysics Reports, 6(4), 137-145.

22.  Zufiria, B., Qiu, S., Yan, K., Zhao, R., Wang, R., She, H., Zhang, C., Sun, B., Herman, P., Du, Y.,Feng, Y.* (2019). A feature-based convolutional neural network for reconstruction of interventional MRI. NMR in Biomedicine, e4231.

23.  Qiu, S., Jiang, W., Alam, M. S., Chen, S., Lai, C., Wang, T., Li, X., Liu, J., Gao, M., Tang, Y., Li, X., Zeng, J.*, & Feng, Y.* (2020). Viscoelastic characterization of injured brain tissue after controlled cortical impact (CCI) using a mouse model. Journal of Neuroscience Methods, 330, 108463.

24.  Li, Y.^#, Lai, C. ^#, Zhang, C., Singer, A., Qiu, S., Sun, B., Sacks, M. S., Feng, Y.* (2019). Magnetic Resonance Image-Based Modeling for Neurosurgical Interventions. Molecular & Cellular Biomechanics, 16(4), 245–251. https://doi.org/10.32604/mcb.2019.07441

25.  Ma, S., Zhu, M., Xia, X., Guo, L., Genin, G. M., Sacks, M. S., Gao, M., Mutic, S., Hu, Y., Hu, C.-h., & Feng, Y.* (2019). A preliminary study of the local biomechanical environment of liver tumors in vivo. Med Phys, 46(4), 1728-1739.

26.  Pei, W., Chen, J., Wang, C., Qiu, S., Zeng, J., Gao, M., Zhou, B., Li, D., Sacks, M. S., Han, L., Shan, H., Hu, W.*, Feng, Y.*, & Zhou, G.* (2019). Regional biomechanical imaging of liver cancer cells. J Cancer, 10(19), 4481-4487.

27.  Chen, Jiayao^#, Bin Zhou^#, Suhao Qiu^#, Shengyuan Ma, Chung-Hao Lee, Ankush Aggarwal, Jianfeng Zeng, Mingyuan Gao, Yuan Feng*, Dan Li* and Hong Shan*. "Evaluation of the Laser-Induced Thermotherapy Treatment Effect of Breast Cancer Based on Tissue Viscoelastic Properties." Journal of Engineering and Science in Medical Diagnostics and Therapy 1, no. 4 (2018): 041009-041009-9.

28.  Feng Y^*#, Zhu M^#, Qiu S, Shen P, Ma S, Zhao X, et al. A multi-purpose electromagnetic actuator for magnetic resonance elastography. Magnetic Resonance Imaging. 2018;51:29-34. IF2.38

29.  Qiu, Suhao, Xuefeng Zhao, Jiayao Chen, Jianfeng Zeng, Shuangqing Chen, Lei Chen, You Meng, Biao Liu, Hong Shan, Mingyuan Gao and Yuan Feng*. "Characterizing Viscoelastic Properties of Breast Cancer Tissue in a Mouse Model Using Indentation." Journal of Biomechanics 69, (2018): 81-89.

30.  S. Potter, J. Graves, B. Drach, T. Leahy, C. Hammel, Y. Feng, A. Baker and M. S. Sacks. A Novel Small-Specimen Planar Biaxial Testing System With Full In-Plane Deformation Control. Journal of biomechanical engineering 140: 051001-051001-051018, 2018.

31.  L. Chen, J. Chen, S. Qiu, L. Wen, Y. Wu, Y. Hou, Y. Wang, J. Zeng, Y. Feng, Z. Li, H. Shan and M. Gao. Biodegradable Nanoagents with Short Biological Half-Life for SPECT/PAI/MRI Multimodality Imaging and PTT Therapy of Tumors. Small 2017.

32.  Y. Feng*, F. Dong, X. Xia, C. H. Hu, Q. Fan, Y. Hu, M. Gao and S. Mutic. An adaptive Fuzzy C-means method utilizing neighboring information for breast tumor segmentation in ultrasound images. Med Phys 44: 3752-3760, 2017. doi: 10.1002/mp.12350.

33.  Y. Feng*^#, Y. Gao^#, T. Wang, L. Tao, S. Qiu and X. Zhao. A longitudinal study of the mechanical properties of injured brain tissue in a mouse model. Journal of the Mechanical Behavior of Biomedical Materials 71: 407-415, 2017. doi: 10.1016/j.jmbbm.2017.04.008.

34.  Y. Feng*^#, C.-H. Lee^#, L. Sun, S. Ji and X. Zhao. Characterizing white matter tissue in large strain via asymmetric indentation and inverse finite element modeling. Journal of the Mechanical Behavior of Biomedical Materials 65: 490-501, 2017. http://doi.org/10.1016/j.jbiomech.2017.03.025.

35.  W. Zheng^#, H. Yang^#, G. Xuan, L. Dai, Y. Hu, S. Hu, S. Zhong, Z. Li*, M. Gao, S. Wang and Y. Feng*. Longitudinal Study of the Effects of Environmental pH on the Mechanical Properties of Aspergillus niger. ACS Biomaterials Science & Engineering 3: 2974-2979, 2017.

36.  Y. Feng*, S. Qiu, X. Xia, S. Ji and C.-H. Lee. A computational study of invariant I5 in a nearly incompressible transversely isotropic model for white matter. Journal of Biomechanics 57: 146-151, 2017.

37.  Y. Feng, E. H. Clayton, R. J. Okamoto, J. Engelbach, P. V. Bayly and J. R. Garbow*. A longitudinal magnetic resonance elastography study of murine brain tumors following radiation therapy. Physics in Medicine and Biology 61: 6121, 2016. doi:http://dx.doi.org/10.1088/0031-9155/61/16/6121.

38.  Y. Feng*, R. J. Okamoto, G. M. Genin and P. V. Bayly. On the accuracy and fitting of transversely isotropic material models. Journal of the Mechanical Behavior of Biomedical Materials 61: 554-566, 2016. doi: 10.1016/j.jmbbm.2016.04.024.

39.  Y. Feng*, H. Guo, H. Zhang, C. Li, L. Sun, S. Mutic, S. Ji and Y. Hu. A modified fuzzy c-means method for segmenting MR images using non-local information. Technol Health Care 24: S785-793, 2016.

40.  Y. Feng, I. Kawrakow, J. Olsen, P. J. Parikh, C. Noel, O. Wooten, D. S. Du, S. Mutic and Y. L. Hu*. A comparative study of automatic image segmentation algorithms for target tracking in MR-IGRT. Journal of Applied Clinical Medical Physics 17: 441-460, 2016. doi:10.1120/jacmp.v17i2.5820. IF1.34

41.  W. Zhang, Y. Feng, C.-H. Lee, K. L. Billiar and M. S. Sacks*. A Generalized Method for the Analysis of Planar Biaxial Mechanical Data Using Tethered Testing Configurations. Journal of biomechanical engineering 137: 064501-064501, 2015.

42.  Y. Feng, R. J. Okamoto, R. Namani, G. M. Genin and P. V. Bayly*. Measurements of mechanical anisotropy in brain tissue and implications for transversely isotropic material models of white matter. Journal of the Mechanical Behavior of Biomedical Materials 23: 117-132, 2013. doi:10.1016/j.jmbbm.2013.04.007.

43.  Y. Feng, E. H. Clayton, Y. Chang, R. J. Okamoto and P. V. Bayly*. Viscoelastic properties of the ferret brain measured in vivo at multiple frequencies by magnetic resonance elastography. Journal of Biomechanics 46: 863-870, 2013. doi: 10.1016/j.jbiomech.2012.12.024.

44.  R. Namani, Y. Feng, R. J. Okamoto, N. Jesuraj, S. E. Sakiyama-Elbert, G. M. Genin and P. V. Bayly*. Elastic characterization of transversely isotropic soft materials by dynamic shear and asymmetric indentation. J Biomech Eng 134: 061004, 2012. doi: 10.1115/1.4006848. IF2.06

45.  T. M. Abney, Y. Feng, R. Pless, R. J. Okamoto, G. M. Genin and P. V. Bayly*. Principal Component Analysis of Dynamic Relative Displacement Fields Estimated from MR Images. PLoS One 6: e22063, 2011.

[1]生物力學,秋學期,2020-2021

[2]生物力學II,秋學期,1-16周,星期五第7-9節(東上院/東上院211) ,1-16周,星期五第7-9節(東上院/東上院211) ,2019-2020

[3]磁共振快速成像理論與應用,春學期,1-16周,星期二第7-8節(工程館/工程館210) ,1-16周,星期二第7-8節(工程館/工程館210) ,2019-2020

[4]生物力學,秋學期,2019-2020

[5]生物力學,秋學期,2018-2019

[6]生物力學II,秋學期,1-16周,星期五第3-4節(上課地點未定) ,1-16周,星期五第3-4節(上課地點未定) ,2018-2019

1. 生物軟組織力學特性測試儀及生物軟組織的力學測試方法，發明專利🏊🏻，專利號201510701187.2💔，已授權（2017.9.28）
2. 生物軟組織微觀力學特性測試儀，發明專利🚴🏽‍♀️🚝，專利號201610890055.3，已授權（2018.1.11）
3. 生物軟組織的力學特性測試儀🚬，發明專利，專利號201510412004.5🆎，已授權（2018.7.13）

4. 用於手術規劃的肺部組織三維重建與可視化裝置⛲️，發明專利，專利號201810564357.0，已授權（2019.12.4）

5. 頭部磁共振彈性成像驅動裝置，實用新型專利🐡，專利號🧙🏻‍♀️：ZL201720516657.2，已授權（2018.1.5）
6. 生物軟組織擠壓測試儀操作軟件，計算機軟件著作權，登記號2015SR251006，已授權（2015.8.12）
7. 一種用於磁共振測試的軟組織模擬器，實用新型專利，專利號：201720381046.1，已授權（2017.10.10）
8. 一種用於動物和體外樣本磁共振彈性成像的驅動裝置，實用新型專利👨🏿‍🦲，專利號：20172013065.3，已授權（2018.02.01）
9.  胸腹磁共振彈性成像驅動裝置👩🏼‍🌾，實用新型專利，專利號：201720288856.2，已授權（2018.03.26）
10. A Mechanical Property Tester of Biological Soft Tissue，PCT/CN2015/084451🙆‍♀️，US 15/106,769，已授權
11. Mechanical property tester and testing method of biological soft tissue, PCT/CN2015/093628，US 15/308,168. 已授權（2018.04.11）
12. Medical Image Segmentation Method and Apparatus, US 15/387,886, 已授權（2018.09.05）