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首页> 外文期刊>Journal of Zhejiang University >Activity optimization method in SPECT: A comparison with ROC analysis
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Activity optimization method in SPECT: A comparison with ROC analysis

机译:SPECT中的活动优化方法:与ROC分析的比较

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摘要

A discriminant method for optimizing activity in nuclear medicine studies is validated by comparison with ROC (received operating characteristic)-curves. The method is tested in 21 single photon emission computerized tomography (SPECT), performed with a cardiac phantom. Three different lesions (L_1, L_2 and L_3) were placed in the myocardium-wall by pairs for each SPECT. Three activities (84, 37 or 18.5 MBq) of 99mTc were used as background. Linear discriminant analysis was used to select the parameters that characterize image quality among the measured variables in the images [(Background-to-Lesion (B/L_i) and Signal-to-Noise (S_i/N) ratios)]. Two clusters with different image quality (P = 0.021) were obtained. The ratios B/L_1, B/L_2 and B/L_3 are the parameters used to construct the function with 100% of cases correctly classified into the clusters. The value of 37 MBq was the lowest tested activity for which good results for the B/L_i ratios were obtained. The result coincides with the applied ROC-analysis (r = 0.89).
机译:通过与ROC(接收到的工作特性)曲线进行比较,验证了在核医学研究中优化活性的判别方法。该方法在21张单光子发射计算机断层扫描(SPECT)中进行了测试,该断层扫描是通过心脏模型进行的。对于每个SPECT,将成对的三个不同的病变(L_1,L_2和L_3)放置在心肌壁中。使用99mTc的三个活动(84、37或18.5 MBq)作为背景。线性判别分析用于在图像的测量变量中选择表征图像质量的参数[(背景与病变(B / L_i)和信噪比(S_i / N)]]。获得了两个具有不同图像质量的聚类(P = 0.021)。比率B / L_1,B / L_2和B / L_3是用于构建函数的参数,其中100%的情况正确分类为聚类。 37 MBq的值是最低的测试活性,为此可获得良好的B / L_i比结果。结果与应用的ROC分析相符(r = 0.89)。

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