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作 者:李琛伟 罗晖[2] 严昂[2] 黄辉 陈伟[3] 曹扬[1,2] LI Chenwei;LUO Hui;YAN Ang;HUANG Hui;CHEN Wei;CAO Yang(Hospital Administration Institute,Central South University,Changsha Hunan 410008,China;Department of Medical Equipment,Xiangya Hospital,Central South University,Changsha Hunan 410008,China;Department of Radiology,Xiangya Hospital,Central South University,Changsha Hunan 410008,China)
机构地区:[1]中南大学医院管理研究所,湖南长沙410008 [2]中南大学湘雅医院医学装备部,湖南长沙410008 [3]中南大学湘雅医院放射科,湖南长沙410008
出 处:《中国医疗设备》2021年第11期24-26,31,共4页China Medical Devices
基 金:国家重点研发计划(2018YFC2002400);中南大学湘雅医院2019年度医院管理研究基金项目(2019GL18)。
摘 要:目的提出一种适用于磁共振质量控制的信噪比(Signal to Nosie Ratio,SNR)计算的方法。方法采集Magphan SMR 170体模质控图像,自动分割出体模和信号泄漏区域,以一种最大化思路选定空气区域进行SNR计算。通过计算一台3.0 T磁共振一年内12次检测数据,与传统方法数据进行对比。结果本文方法计算结果为1084±76,传统单次人工方法为1448±302,传统多次测量计算结果为1305±126。经单因素方差分析,三种计算方法对SNR计算结果的影响差异有统计学意义(F=10.957,P<0.001)。本文方法统计标准差、数值波动要明显低于传统方法。结论本研究方法避免了人工分割感兴趣区域,能够获取更加客观、不受人为误差影响的设备SNR评价结果。本研方法更适用于医疗机构开展磁共振设备质量跟踪工作。Objective To propose a method for calculating signal-to-noise ratio(SNR)for MR quality control.Methods The Magphan SMR 170 body model quality control image was collected,and the body model and signal leakage area were automatically separated,and the air area was selected for SNR calculation with a maximization method.By collecting the test data of quality control activities of 3.0T magnetic resonance within a year,and compared with the data of traditional methods.Results The mean and standard deviation of this method was 1084±76.The traditional method were 1448±302.The mean and standard deviation calculated by multiple measurements were 1305±126.By one-way ANOVA,the influence of three calculation methods on SNR calculation results was statistically significant(F=10.957,P<0.001).The statistical standard deviation and numerical fluctuation of this method were obviously lower than those of traditional methods.Conclusion This method avoids manual division of the region of interest and can obtain more objective SNR evaluation results that are not affected by human error.This method is more suitable for medical institutions to track the performance of magnetic resonance equipment.
分 类 号:R445.2[医药卫生—影像医学与核医学]
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