论文标题
有限检测器计算机断层扫描应用程序的噪声分析，错误估计和伽马辐射测量
Noise analysis, error estimates, and Gamma Radiation Measurement for limited detector computerized tomography application
论文作者
论文摘要
计算机断层扫描是非破坏性技术（NDT）的有效和重要方式之一。各种因素影响CT重建结果，包括有限的投影数据，检测器电子优化，背景噪声，检测噪声，投影数据的离散性质等等。辐射硬化和影响操作设置的其他老化因素可能需要重新校准电子参数。利用了两个众所周知的练习，以提高逆恢复的可靠性和准确性。第一次练习蛮力从一组校准方法中获得了最佳候选者，以逆回恢复中的最小误差。第二次练习，Kanpur定理1（KT-1）检查了最佳校准是否设置了电子设备以传达最小噪声。首次使用γ辐射测量显示了统计衍生的CLT与基于Riemann积分转换的KT-1之间的相互符合性。分析表明，具有正常分布的测量数据在反恢复中会造成最小的噪声。
Computed Tomography is one of the efficient and vital modalities of non-destructive techniques (NDT). Various factors influence the CT reconstruction result, including limited projection data, detector electronics optimization, background noise, detection noise, discretized nature of projection data, and many more. Radiation hardening and other aging factors that affect the operational settings may require recalibration of electronics parameters. Two well-known exercises are utilized with the motivation to improve reliability and accuracy in inverse recovery. The first exercise brute-forces an optimal candidate from the set of calibration methods for minimum error in inverse recovery. The second exercise, Kanpur Theorem-1 (KT-1) examines if optimal calibration sets electronics to impart minimum noise. The mutual conformity between statistics-derived CLT and Riemann integral transform-based KT-1 is shown first time using gamma radiation measurement. The analysis shows that measurement data with normal distribution inflicts the least noise in inverse recovery.
