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Data-processing strategies for crossed-strip gamma-ray detectors

机译:交叉条形伽马射线探测器的数据处理策略

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Crossed-strip gamma-ray detectors are an attractive option for small-animal SPECT imagers due to their high space-bandwidth product. In systems with independent triggering of the two sides of the detector, advanced data-processing techniques are required to accurately determine gamma-ray interaction locations and energy deposition. Optimal detector operation further relies on rigorous detector characterization in order to achieve detector triggering uniformity and best timing resolution and to permit position and energy estimation with maximum-likelihood methods. We describe algorithms and methods developed for calibrating and characterizing a recently fabricated system based on 1024-strips-per-side 1-mm-thick silicon detectors.
机译:由于其高空间带宽产品,交叉条带伽马射线探测器是小动物SPECT成像仪的有吸引力的选择。在具有独立触发检测器的两侧的系统中,需要先进的数据处理技术来精确地确定伽马射线相互作用位置和能量沉积。最佳检测器操作进一步依赖于严格的检测器表征,以实现检测器触发均匀性和最佳定时分辨率,并允许具有最大似然方法的位置和能量估计。我们描述了用于校准和表征最近制造的系统的算法和方法,该算法基于1024条条带上1-mm厚的硅探测器的最近制造的系统。

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