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Method and Apparatus for Spectral Deconvolution of Detector Spectra

机译:检测器光谱的光谱去卷积方法和装置

摘要

Embodiments of the invention pertain to a method and apparatus for spectral deconvolution of detector spectra. In a specific embodiment, the method can be applied to sodium iodide scintillation detector spectra. An adaptive chi-processed (ACHIP) denoising technique can be used to remove the results of stochastic noise from low-count detector spectra. Embodiments of the ACHIP denoising algorithm can be used as a stand alone tool for rapid processing of one dimensional data with a Poisson noise component. In a specific embodiment, the denoising technique can be combined with the spectral deconvolution method. Embodiments of the denoising technique and embodiments of the deconvolution method can be applied to any detector material that provides a radiation spectrum. Specific embodiments can incorporate one or more of the following for spectral deconvolution: denoising, background subtraction, detector response function generation, and subtraction of detector response functions. Photopeaks can be rapidly identified, starting at the high-energy end of the spectrum. The detector response functions can be estimated for photopeaks with a combination of Monte Carlo simulations and simple transformations.
机译:本发明的实施例涉及用于检测器光谱的光谱去卷积的方法和设备。在一个具体的实施方案中,该方法可以应用于碘化钠闪烁检测器光谱。自适应chi-process(ACHIP)去噪技术可用于从低计数检测器光谱中去除随机噪声的结果。 ACHIP去噪算法的实施例可以用作用于快速处理具有泊松噪声分量的一维数据的独立工具。在特定实施例中,可以将去噪技术与频谱去卷积方法相结合。去噪技术的实施例和解卷积方法的实施例可以应用于提供辐射谱的任何检测器材料。特定实施例可以并入以下用于频谱解卷积的一个或多个:降噪,背景减法,检测器响应函数生成以及检测器响应函数减法。从光谱的高能端开始,可以快速识别光电峰。结合蒙特卡洛模拟和简单转换,可以估算光电峰值的检测器响应函数。

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