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Yuan Feng Dr. Feng obtained his bachelor's and master's degrees from Harbin Institute of Technology in 2006 and 2008, respectively. He earned a Ph.D. degree in Mechanical Engineering from Washington University in St. Louis with Drs. Philip Bayly and Guy Genin. His postdoctoral training was at Washington University School of Medicine with Dr. Yanle Hu in 2013, and at the University of Texas at Austin with Dr. Michael Sacks in 2014. He was a faculty member at Soochow University from late 2014 to 2017. Since 2018 he moved to Shanghai Jiao Tong University and joined the School of Biomedical Engineering. He has established an electromagnetic MR elastography system and promoted its clinical application, developed real-time MRI-guided interventional imaging methods applied to robotic-assisted brain interventions, and established theories and methodologies based on biomechanics for brain science and brain disease research. Dr. Feng has published 46 journal articles, holds 13 authorized invention patents, and has undertaken 2 National Natural Science Foundation of China (NSFC) General Programs, 1 Excellent Young Scientist Fund Program, and 1 subproject of the National Key Research and Development Program. His primary research interests are brain biomechanics and magnetic resonance imaging. |
Professor School of Biomedical Engineering, Shanghai Jiao Tong University 2024-present
Associate Professor School of Biomedical Engineering, Shanghai Jiao Tong University 2018-2024
Associate Professor School of Radiological and Interdisciplinary Sciences, Soochow University 2016-2018Magnetic resonance elastography (MRE), Interventional magnetic resonance imaging (IMRI), MR-image based biomechanical characterization, MR-image guided neurointervention.
lab website: https://faculty.sjtu.edu.cn/fengyuan/zh_CN/index.htm；https://github.com/aaronfeng369
冯原, 何钊, 孙青芳, 孙伯民, 严福华, 杨广中. 磁共振介入成像及其临床应用, 《诊断学理论与实践》, 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. 冯原，邱苏豪，严福华，杨广中，磁共振弹性成像及其在脑疾病中的应用，《波谱学杂志》, 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.
Y. Feng, T. M. Abney, R. J. Okamoto, R. B. Pless, G. M. Genin and P. V. Bayly*. Relative brain displacement and deformation during constrained mild frontal head impact. J R Soc Interface 7: 1677-1688, 2010. doi: 10.1098/rsif.2010.0210.
- Biomechanics
- MR fast imaging
E-mail：fengyuan [AT] sjtu.edu.cn
telephone：18625085336
address：闵行校区转化楼N219
website：https://faculty.sjtu.edu.cn/fengyuan/zh_CN/index.htm；https://github.com/aaronfeng369
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