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Analytical image reconstruction of cone-beam projections from limited-angle Compton camera data

机译:从有限角度康普顿相机数据重建锥形束投影的解析图像

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摘要

Since the integration of gamma-rays on a cone is measured with Compton cameras, some sort of image reconstruction method is necessary. Parra (2000) developed an analytical reconstruction algorithm based on a spherical harmonics expansion of projection data that covers the entire scattering-angle range. The measurable scattering angle range is limited due to the electrical noise of the detector and to the finite detector configuration. In this article, a reconstruction algorithm from the projection of a limited scattering angle range is presented. The algorithm was based on an inversion of the summed backprojection. The variance of the reconstructed image of a uniform source was calculated and found proportional to the third power of the number of expansion terms. Thus, window functions were introduced to suppress noise at the cost of spatial resolution. The dependency of the spatial resolution on the number of expansion terms was analyzed. From this, the dependency of the variance on the spatial resolution was found to be variance/spl prop/(spatial resolution)/sup -3/.
机译:由于伽马射线在圆锥体上的积分是用康普顿相机测量的,因此需要某种图像重建方法。 Parra(2000)开发了一种基于投影数据的球谐展开的解析重建算法,该数据覆盖了整个散射角范围。由于检测器的电噪声和有限的检测器配置,可测量的散射角范围受到限制。本文提出了一种基于有限散射角范围的投影的重构算法。该算法基于总反投影的反演。计算出统一源的重建图像的方差,发现方差与扩展项数的三次方成正比。因此,引入了窗函数以空间分辨率为代价抑制噪声。分析了空间分辨率对扩展项数的依赖性。由此,发现方差对空间分辨率的依赖性为方差/ spl prop /(空间分辨率)/ sup -3 /。

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