李光

发布者:李冬梅发布时间:2019-09-03浏览次数:6486

2019/4-至今东南大学讲师

2016/08-2018/12,Rensselaer Polytechnic Institute,生物技术与多学科研究中心博士后

2011/03-2016/07, 东南大学生物医学工程系,工学博士

2008/09-2011/03, 东南大学生物医学工程系,工学硕士

2004/09-2008/06, 东南大学生物医学工程系,工学学士

  

研究方向

1、临床医学相关的X线CT成像技术研究以及纳米CT、相位CT、能谱CT等多种新型科研级CT的研究和开发;

2、磁共振波谱成像研究;

3、医学图像处理和医学图像3D可视化;

4、人工智能在医学成像方向的应用。


代表性论文:

1.Guang Li, Shouhua Luo, Yuling Yan, and Ning Gu. A method of extending the depth of focus of the high-resolution X-ray imaging system employing optical lens and scintillator: a phantom study. Biomedical Engineering Online 14, no. 1 (2015): 120.

2.Guang Li, Wenxiang Cong, James S. Michaelson, Hong Liu, Lars Gjesteby, and Ge Wang. “Novel detection scheme for X-ray small-angle scattering.” IEEE Transactions on Radiation and Plasma Medical Sciences 2, no. 4(2018):315.

3.Guang Li, Shouhua Luo, Chenyu You, Matthew Getzin, Liang Zheng, Ge Wang and Ning Gu. “A novel calibration method incorporating non-linear optimization and ball-bearing markers for cone-beam CT with a parameterized trajectory.” Medical Physics (2018).

4.Jing Yang, Guang Li, Yi Sun, Hongbo Huang, Fukuan Zhao, and Shouhua Luo. Automated image registration for stand-alone micro-PET and micro-CT. Journal of Nanoscience and Nanotechnology 16, no. 7 (2016): 6903.

5.Chenyu You, Guang Li, Yi Zhang, Xiaoliu Zhang, Mengzhou Li, Shenghong Ju, Zhen Zhao, Zhuiyang Zhang, Wenxiang Cong, Michael W. Vannier, Punam K. Saha, Eric A. Hoffman, Ge Wang,CT super-resolution GAN constrained by the identical, residual, and cycle learning ensemble (GAN-CIRCLE), IEEE Transactions on Medical Imaging, 2019, 39 (1) : 188-203



欢迎对数学、物理、图形图像处理、信号传感、智能计算等方面感兴趣,立志于改变未来医学诊断和成像方法的同学们加入我们。

联系方式:

Email: 101012537@seu.edu.cn; liguangeagle@126.com

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