Research on quality control method for magnetic resonance accelerator daily QA protocol based on self-developed phantom
10.3760/cma.j.cn113030-20240429-00164
- VernacularTitle:基于自研模体的磁共振加速器日检质量控制方法
- Author:
Qiu GUAN
1
;
Yuliang SUN
1
;
Hao LIANG
1
;
Wei TIAN
1
;
Tingting DONG
1
;
Lang YU
1
;
Bo YANG
1
;
Jie QIU
1
Author Information
1. 中国医学科学院 北京协和医学院 北京协和医院放射治疗科，北京 100730
- Publication Type:Journal Article
- Keywords:
Radiotherapy;
MR-linac;
Daily quality assurance;
Quality control
- From:
Chinese Journal of Radiation Oncology
2025;34(1):23-28
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To establish daily quality assurance workflow based on self-developed phantom to ensure MR-linac performance such as beam accuracy, MR image guidance accuracy, and the clinical treatment workflow to enhance the efficiency of daily quality assurance (QA).Methods:The self-developed phantom was made by 3D printer and used in conjunction with Daily QA-MR detector array. After CT-sim scanning, a treatment plan was designed and transmitted to the accelerator, tests were performed such as image guidance accuracy, beam output and beam quality, the differences in daily QA results between the self-developed phantom and standard phantom recommended by the manufacturer were analyzed by using paired t-test. Results:A total of 24 sets results were collected, the image guide accuracy in the X, Y and Z directions between standard and self-made phantom were (0.1±0.4), (-0.14±0.16), (0.07±0.05) mm and (0±0.02), (-0.02±0.02), (0.02±0.01) mm, respectively, and the differences were statistically significant ( P<0.001, =0.001 and <0.001). Daily QA-MR detector array beam measurement results including output, symmetry, beam quality and field size were -0.11%±0.20%, -0.10%±0.19%, -0.01%±0.08%, (0.4±0.1) mm and (0.2±0.1) mm, respectively. The new process saved 25% (approximately 9 min) of the time compared to the standard process. Conclusions:The new daily QA process for MR-linac is performed based on self-developed phantom and Daily QA-MR detector array. The accuracy and sensitivity meet the requirements and can improve the QA efficiency.
