þ Master Supervisor
Current Professional Societies
Research Areas: Hardware design for magnetic resonance imaging
1. Magnet design technology
2. Gradient coil design
3. Uniform field technology
Publications
1. Chaoqun Niu, Fangfang Tang, Qiuliang Wang, Feng Liu. A novel active shim coil design scheme for the effective imaging region above the patient bed in MRI [J]. Journal of Superconductivity and Novel Magnetism, 2022,35: 1685-1692.
2. Chaoqun Niu, Xuchen Zhu, Qiuliang Wang, et al. A novel design method of independent zonal superconducting shim coil [J]. IEEE Transactions on Applied Superconductivity, 2019, 29 (1): 4400108.
3. Chaoqun Niu, Qiuliang Wang, Yang Hu, et al. Numerical design of high-efficiency whole-body gradient coils with a hybrid cylindrical-planar structure [J]. IEEE Transactions on Biomedical Engineering, 2019, 66 (6): 1628-1636.
4. Chaoqun Niu, Lei Wang, Yaohui Wang, et al. Numerical analysis of eddy current induced by z-gradient coil in a superconducting MRI magnet [J]. IEEE Transactions on Applied Superconductivity, 2020, 30 (4): 4400606.
5. Chaoqun Niu, Qiuliang Wang, Hongyi Qu, et al. Analysis of gradient-induced eddy current in a superconducting MRI magnet [C]. The 26th International Conference on Magnet Technology (MT 26), September, Canada, 2019.
6. Chaoqun Niu, Fangfang Tang, Hongyi Qu, et al. A novel asymmetric active shim coil design for imaging area above the patient bed in MRI [C]. Progress in Electromagnetics Research Symposium (PIERS), Xiamen, China, December, 2019.
7. Chaoqun Niu, Qiuliang Wang, Yi Li, et al. Numerical computation methods for evaluating the electromagnetic safety of magnetic resonance imaging system [J]. High Voltage Engineering. 2017, 43(8): 2442-2453.
8. Yang Hu, Qiuliang Wang, Xuchen Zhu, Chaoqun Niu, Yaohui Wang. Optimization MRI shim coil using second derivative discretized stream function [J]. Concepts in Magnetic Resonance Part B, 2017, 47B (1): e21352.
9. Yaohui Wang, Qiuliang Wang, Lei Guo, Zhifeng Chen, Chaoqun Niu, Feng Liu. An actively shielded gradient coil design for use in planar MRI systems with limited space [J]. Review of Scientific Instruments, 2018, 89 (9): 095110.
10. Hongyi Qu, Chaoqun Niu, Yang Liu, et al. A novel mixed integral programming scheme for passive shimming in MRI [C]. Progress in Electromagnetics Research Symposium (PIERS), Xiamen, China, December, 2019.
11. Fangfang Tang, Jiabao Hao, Fabio Freschi, Chaoqun Niu, et al. A cone-shaped gradient coil design for high-resolution MRI head imaging [J]. Physics in Medicine & Biology, 2019, 64 (8): 085003.
12. Hongyi Qu, Chaoqun Niu, Yaohui Wang, et al. The optimal target magnetic field method for passive shimming in MRI [J]. Journal of Superconductivity and Novel Magnetism, 2019.
13. Hongyi Qu, Yaohui Wang, Chaoqun Niu, et al. A novel strategy and test of passive shimming for multi-volumes in cylindrical MRI scanner [J]. IEEE Transactions on Magnetics, 2020, 56 (2): 5300107.
Personal Statement
Chaoqun Niu received the B.E. degree in electronic science and technology from Jilin University, Changchun, China, in 2012, the M.E. degree in electrical engineering from University of Chinese Academy of Sciences, Beijing China, in 2015, and Ph.D. degree in electrical engineering from University of Chinese Academy of Sciences, Beijing China, in 2020.
She is currently a lecturer with College of Information and Communication Engineering, Faculty of Information Technology, Beijing University of Technology. Her current interests include magnet design technology, gradient coil design and uniform field technology in magnetic resonance imaging.