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THE MOVING VOXEL IMAGE RECONSTRUCTION (MVIR) METHOD FOR LANE DETERMINATION IN MULTILANE PORTAL MONITOR SYSTEMS

机译:用于确定多车道门户监控系统中车道的移动体素图像重建(MVIR)方法

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Radiation portal monitor stations can potentially be used at locations where vehicles travel at relatively high speeds. These are more challenging environments than those where vehicles stop or drive through slowly. We have developed a dynamic image reconstruction method for use in such multilane EZ-Pass portals. Called MVIR (Moving Voxel Image Reconstruction), this method detects the lane and time at which radioactive sources pass through with significantly better accuracy and precision than is possible using conventional static image reconstruction methods. Rather than producing an image over a static (x, y) grid, MVIR combines consecutive time slices of data into a single linear system of equations that is solved for the source intensity as a function of time and position. This improves counting statistics and enables a small number of detectors to produce relatively high resolution images. In this presentation we compare the results of image reconstructions using MVIR with a static image reconstruction method, on data simulated using the Los Alamos PortalSim software.
机译:辐射门户监控站可以潜在地用于车辆以相对较高的速度行驶的位置。与车辆停驶或缓慢驶过的环境相比,这些环境更具挑战性。我们已经开发了一种用于这种多通道EZ-Pass门户的动态图像重建方法。这种方法被称为MVIR(运动体素图像重建),它比传统的静态图像重建方法能够以更高的准确度和精确度检测放射源通过的车道和时间。 MVIR不会在静态(x,y)网格上生成图像,而是将连续的数据片段组合成一个线性的方程式系统,可以根据时间和位置来求解源强度。这改善了计数统计量,并使少数检测器可以生成相对高分辨率的图像。在本演示中,我们将使用MVIR和静态图像重建方法的图像重建结果与使用Los Alamos PortalSim软件模拟的数据进行比较。

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