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| Image quality test and analysis based on MAGNETOM Skyra magnetic resonance (MRI) equipment |
| ZHAI Hezheng1, ZHANG Jin2, WU Xiangjun1, YIN Handong2, WANG Xin1, WANG Manyao1, HUANG Ziqi1, WU Quan1 |
1. Institute of Radiation Medicine, Chinese Academy of Medical Sciences, Tianjin Key Laboratory of Radiation Medicine and Molecular Nuclear Medicine, Tianjin 300192 China;
2. Chongqing Medical Equipment Quality Control Institute |
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Abstract Objective This paper discusses the process of MRI image quality testing index, establishes the baseline value of MRI equipment image quality index, and provides the certain basis for improving the relevant national standards.Methods On the basis of the current domestic and foreign standard test conditions at home and abroad, and with the help of SMR 170 magnetic resonance image quality control phantom, newly installed MAGNETOM Skyra type magnetic resonance signal-to-noise ratio, image uniformity, layer thickness, uniformity of layer thickness, spatial resolution, geometric distortion rate, low contrast resolution, resonant frequency, aspect ratio and other indicators were tested, and the corresponding baseline values of each indicator were obtained, and combined with relevant materials, discussing the impact of magnetic resonance imaging quality testing;Results The spin echo sequence (SE), head coil, pulse echo time of 20 ms, pulse recovery time of 250 ms, field of view (FOV) of 250 mm×250 mm and acquisition twice were used to collect the images. The preset layer thickness was 5 mm, 8 mm and 10 mm, respectively. The measured layer thickness and nonuniformity were 5.2 mm/1.3%, 8.3 mm/2.0% and 10.4 mm/3.2%, respectively; When the matrix was 256 mm×256 mm, the results of signal-to-noise ratio and image uniformity were 103.2/98.3%, 105.6/96.0% and 110.2/96.4%, respectively. The signal-to-noise ratios were 102.6, 104.8 and 106.2, respectively, when the matrix was 512 mm×512 mm; The spatial resolution was 1 mm when the matrix was 256 mm×256 mm, and the results were 0.556 mm, 0.556 mm and 0.5 mm, respectively when the matrix was 512 mm×512 mm; The low contrast resolution was circular holes with a diameter of 4 mm and a hole depth of 0.5 mm. Meanwhile, the measurement results of geometric distortion rate were 20.0 mm, 40.3 mm, 80.5 mm and 100.8 mm at the hole spacing of 20 mm, 40 mm, 80 mm and 100 mm, respectively.Conclusion Using SMR 170 phantom to detect the parameter setting and baseline value of the MRI indexes could provide certain basis for the follow-up state detection. The key point of MRI quality control work in the future is to improve the MRI image quality detection index, develop the matching MRI image quality test phantom and update the relevant standards.
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Received: 02 January 2020
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[1] 李云, 邓大平. DCE-MRI对乳腺X射线摄影检出的BI-RADS 4类微钙化的诊断价值[J]. 中国辐射卫生,2015,24(5):558-560
[2] 杨海, 李欣, 耿才正, 等. MRI在诊断膝关节损伤中的应用价值[J]. 中国辐射卫生,2011,20(3):367-368
[3] 袁魁升, 梁栋, 李光民. 3.0T超高场强MRI诊断乳腺癌的价值[J]. 中国辐射卫生,2014,23(3):274-275
[4] 陈旭, 唐光才, 王富林, 等. DWI联合增强MRI对肝硬化背景下小肝癌诊断价值的Meta分析[J]. 国际放射医学核医学杂志,2019,43(2):152-159
[5] 陈建普, 李崇佼, 文兵, 等. PET/CT和MRI在多发性骨髓瘤中的应用与进展[J]. 国际放射医学核医学杂志,2018,42(5):447-452
[6] 中华人民共和国卫生部. WS/T 263—2006 医用诊断磁共振成像(MRI)设备影像质量检测与评价规范[S]. 北京: 人民卫生出版社, 2007.
[7] 国家食品药品监督管理局. YY/T 0482—2010 医用成像磁共振设备主要图像质量参数的测定[S]. 北京: 中国标准出版社, 2010.
[8] 倪萍, 孙钢. 医用磁共振成像设备质量控制检测技术[M]. 北京: 中国质检出版社, 中国标准出版社, 2016.
[9] Price R, Allison J, Clarke G, et al. Magnetic resonance imaging quality control manual [M]. Washington: American College of Radiology, 2015.
[10] Determination of Signal-to-Noise Ratio (SNR) in Diagnostic Magnetic Resonance Imaging[S]. NEMA Standards Publication: MS 1-2008.
[11] Determination of Two-Dimensional Geometric Distortion in Diagnostic Magnetic Resonance Images[S]. NEMA Standards Publication: MS 2-2008.
[12] Determination of Image Uniformity in Diagnostic Magnetic Resonance Images[S]. NEMA Standards Publication: MS 3-2008.
[13] 邓君, 林志凯, 曹磊, 等. 27台医用诊断磁共振成像设备状态检测与分析[J]. 中国辐射卫生,2010,19(2):184-185
[14] Keenan K E, Ainslie M, Barker A J, et al. Quantitative magnetic resonance imaging phantoms: a review and the need for a system phantom[J]. Magn Reson Med, 2018, 79(1): 48-61
[15] 祁琦, 陈竟宇, 沈子立, 等. 基于Magphan体模的MRI质量检测图像参数自动评价系统的设计与实现[J]. 医疗卫生装备,2017,38(7):16-19, 23
[16] 李馥然. 医用磁共振设备质检图像的自动处理算法研究[D]. 重庆: 重庆大学, 2017.
[17] Hattori K, Ikemoto Y, Takao W, et al. Development of MRI phantom equivalent to human tissues for 3.0-T MRI[J]. Med Phys, 2013, 40(3): 032303
[18] lhalainen TM, L; Snnroth NT, Peltonen JI. MRI quality assurance using the ACR phantom in amulti-unit imaging center[J]. Acta Oncologica, 2011, 50: 966-972
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