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Real time depth-of-interaction correction for coded-aperture, gamma-ray images

机译:编码孔径,伽马射线图像的实时交互深度校正

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摘要

The size of the image pixels in a coded-aperture image is a function of the mask hole size, the focal length (mask-to-detector spacing), and the distance to the scene being imaged. Gamma-ray imaging instruments designed for field use can have a focal length that is comparable to the thickness of the detector, resulting in radially blurred images because a range of image pixel sizes contributes to the image. If so equipped, one can use a detector's depth-of-interaction resolution to eliminate this blurring by binning images formed from different depths within the detector to a common image scale. However, binning to a common image scale requires handling a number of issues including spatially dependent energy weighting, spatially varying offset corrections, and spatially correlated uncertainties. This paper explores these issues and provides effective solutions that have been implemented for online use in a field-portable instrument.
机译:编码孔径图像中图像像素的大小是掩膜孔大小,焦距(掩膜到检测器的间距)以及到要成像的场景的距离的函数。专为现场使用而设计的伽马射线成像仪器的焦距可与检测器的厚度相媲美,这是因为图像像素尺寸范围对图像有所贡献,导致图像径向模糊。如果配备了这样的设备,则可以使用检测器的交互深度分辨率,通过将检测器中不同深度形成的图像合并到一个公共图像比例中,从而消除这种模糊。但是,合并到一个普通的图像比例需要处理许多问题,包括空间相关的能量加权,空间变化的偏移校正和空间相关的不确定性。本文探讨了这些问题,并提供了已在现场便携式仪器中在线使用的有效解决方案。

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