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目的:探讨能谱曲线方程数学参数对不同浓度碘溶液的鉴别能力。材料与方法:将碘海醇注射液与纯净水按比例(1:20,2:20,3:20及4:20)配制成4支不同浓度的溶液,应用GE Discovery CT 750 HD能谱扫描仪对4支溶液行能谱成像扫描(gemstone spectral imaging,GSI)。扫描数据传入GE AW4.6后处理工作站处理,测量各溶液单能量下(40-140Ke V,间隔5Ke V)的CT值。应用WPS Office(2016)表格软件将CT值分别以指数、线性、对数、多项式及幂函数作为趋势线进行曲线拟合,得到各函数的拟合方程。比较各方程决定系数(R2值),以愈接近1为拟合程度最佳。将拟合度最佳的曲线作为溶液能谱曲线方程,运用Matlab R2014a(8.3.0)软件计算其定积分(∫14040ydx)及极限(limx→140Ke V)。采用SPSS 19.0统计学软件中单因素方差分析比较4支溶液各函数能谱曲线方程R2值、拟合度最佳曲线方程的定积分及极限。结果:曲线拟合以幂函数拟合度为最佳,R2mean=0.9979(F=824.186,p=0.000);各溶液能谱曲线方程(以幂函数)的定积分、极限差异均有统计学意义(F定积分=7628.401,p=0.000;F极限=2306.063,p=0.000)。结论:能谱曲线方程数学参数可为物质鉴别提供更多信息。
Objective: To explore the ability of the mathematical parameters of energy spectrum curve equation to discriminate iodine solution with different concentrations. MATERIALS AND METHODS: Iohexol injection and purified water were formulated into 4 different concentrations of solution at 1: 20, 2: 20, 3: 20, and 4:20 concentrations and applied to a GE Discovery CT 750 HD spectral scan The instrument performed a 4-solution gemstone spectral imaging (GSI) scan. The scan data was sent to the GE AW4.6 post-processing workstation for measurement of the CT values at single energy (40-140 KeV, 5 KeV intervals) for each solution. The WPS Office (2016) table software was used to curve the CT values by exponential, linear, logarithmic, polynomial and power functions respectively as trend lines, and the fitting equations of each function were obtained. Compare the coefficient (R2 value) of each equation, the closer to 1 is the best fitting degree. The curves with the best fitting degree were taken as the solution energy spectrum curve equations, and the definite integral (∫ 14040ydx) and limit (limx → 140Ke V) were calculated by Matlab R2014a (8.3.0) software. The single-factor analysis of variance (ANOVA) of SPSS 19.0 statistical software was used to compare the integrals and the limits of the R2 curve of the energy spectrum curve equation and the best fitting curve equation of the four solutions. Results: The fit of curve fitting with power function was the best, R2mean = 0.9979 (F = 824.186, p = 0.000). The definite integral and limit difference of energy spectrum curve equation (F definite integral = 7628.401, p = 0.000; Flimit = 2306.063, p = 0.000). Conclusion: The mathematical parameters of the energy spectrum curve equation provide more information for material identification.