TY  - Data
T1  - Quantitative analysis of image quality for acceptance and commissioning of an MRI simulator with a semiautomatic method
A1  - Xiao Guoqing
DO  - 10.12072/ncdc.imp.db2904.2023
PY  - 2023
DA  - 2023-07-19
PB  - National Cryosphere Desert Data Center
AB  - This paper establishes a set of semi-automatic MRI acceptance debugging method, which can quantitatively analyze the acceptance modulation image quality of semi-automatic MRI, and can be used as the evaluation and reference standard of imaging simulator performance, which ensures the positioning accuracy and image quality of MRI simulation positioning system in clinical use, and is conducive to improving the accuracy and curative effect of treatment.
DB  - NCDC
UR  - http://www.ncdc.ac.cn/portal/metadata/2b220233-3e62-43cf-a446-26a321804022
ER  -