首页> 外文会议>Annual meeting of the Institute of Nuclear Materials Management >THE MOVING VOXEL IMAGE RECONSTRUCTION (MVIR) METHOD FOR LANE DETERMINATION IN MULTILANE PORTAL MONITOR SYSTEMS
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THE MOVING VOXEL IMAGE RECONSTRUCTION (MVIR) METHOD FOR LANE DETERMINATION IN MULTILANE PORTAL MONITOR SYSTEMS

机译:Muldane Portal Monitor系统中的移动体素图像重构(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:辐射门户监测站可能会在车辆以相对高速行进的位置使用。这些是更具挑战性的环境,而不是车辆停止或慢慢开车的环境。我们开发了一种动态图像重建方法,用于如此多包子EZ-Pass门户。该方法称为MVIR(移动voxel图像重建),该方法检测放射源通过的车道和时间通过使用传统的静态图像重建方法可以明显更好的精度和精度。 MVIR而不是在静态(x,y)网格上产生图像,而是将连续的时间片段组合成用于源强度的单个线性系统,该源强度为时间和位置。这改善了计数统计数据,并使少量探测器能够产生相对高分辨率的图像。在本演示文献中,我们使用MVIR使用静态图像重建方法进行比较图像重建的结果,在使用LOS Alamos Portalsim软件模拟的数据上。

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