Hybrid-collimator design for a small animal imager: PEDRO

C. Nguyen, Jeremy M. C. Brown, R. Lewis, David V. Martin, M. Dimmock, D. Nikulin, J. Gillam
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Abstract

The Pixelated Emission Detector for RadiOisotopes (PEDRO) is a hybrid imaging system designed for the measurement of single photon emission from small animal models. The proof-of-principle device consists of a Compton-camera situated behind a mechanical collimator and is intended to provide optimal detection characteristics over a broad spectral range, from 30 keV to 511 keV. An automated routine has been developed for the optimization of the mechanical collimator which consists of pinholes and open slits. The optimization was tested with a Geant4 model of the experimental prototype. The data were blurred with the expected position and energy resolution parameters and a Bayesian interaction ordering algorithm was applied. The results show that the optimization technique allows the large-area slits to sample fully the primary field of view (FoV). The slits were found to provide truncation of the back-projected cones of response and also an increase in the success rate of the interaction ordering algorithm. These factors resulted in an increase in the contrast and signal-to-noise ratios of the reconstructed image estimates.
小型动物成像仪的混合准直器设计:PEDRO
放射性同位素像素化发射探测器(PEDRO)是一种混合成像系统,用于测量小动物模型的单光子发射。原理验证装置由位于机械准直器后面的康普顿相机组成,旨在提供从30 keV到511 keV的广谱范围内的最佳检测特性。针对由针孔和开缝组成的机械准直仪,提出了一种自动优化程序。利用实验样机的Geant4模型对优化结果进行了验证。利用期望的位置和能量分辨率参数对数据进行模糊处理,并采用贝叶斯交互排序算法。结果表明,该优化技术可以使大面积狭缝充分采样主视场(FoV)。发现狭缝提供了响应的反向投影锥的截断,也增加了交互排序算法的成功率。这些因素导致重建图像估计的对比度和信噪比增加。
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