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LINEAR FITTING OF MULTI-THRESHOLD COUNTING DATA

机译:多阈值计数数据的线性拟合

摘要

The present disclosure provides a system and method for efficiently mining multi-threshold measurements acquired using photon counting pixel-array detectors for spectral imaging and diffraction analyses. Images of X-ray intensity as a function of X-ray energy were recorded on a 6 megapixel X-ray photon counting array detector through linear fitting of the measured counts recorded as a function of counting threshold. An analytical model is disclosed for describing the probability density of detected voltage, utilizing fractional photon counting to account for edge/corner effects from voltage plumes that spread across multiple pixels. Three-parameter fits to the model were independently performed for each pixel in the array for X-ray scattering images acquired for 13.5 keV and 15.0 keV X-ray energies. From the established pixel responses, multi-threshold composite images produced from the sum of 13.5 keV and 15.0 keV data can be analytically separated to recover the monochromatic images through simple linear fitting.
机译:本公开提供一种用于有效地挖掘使用光子计数像素阵列检测器获取的多阈值测量以进行光谱成像和衍射分析的系统和方法。通过线性拟合所记录的作为计数阈值的函数的测量计数,将X射线强度随X射线能量变化的图像记录在6兆像素X射线光子计数阵列检测器上。公开了一种用于描述检测到的电压的概率密度的分析模型,该分析模型利用分数光子计数来考虑散布在多个像素上的电压羽流的边缘/拐角效应。针对阵列中的每个像素,针对以13.5 keV和15.0 keV X射线能量获取的X射线散射图像,分别对模型进行三参数拟合。从已建立的像素响应中,可以通过简单的线性拟合分析地分离由13.5 keV和15.0 keV数据之和产生的多阈值合成图像,以恢复单色图像。

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