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首页> 外文期刊>IEEE Transactions on Medical Imaging >Statistical and physical content of low-energy photons in holospectral imaging
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Statistical and physical content of low-energy photons in holospectral imaging

机译：全能成像中低能光子的统计和物理含量

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摘要

The utility of low-energy photons can be investigated using statistical and physical models. Holospectral imaging exploits the correlation between energy frames to optimize primary photon representation. A relationship between energy frames can be established by the physical description of low-energy photons (or events). It is shown that those events not only build an image with fortuitous correlation with the on-peak image but, in some cases, they are spatially indistinguishable from primary photons. Similarly, it is possible to show that an important proportion of the events detected at the primary energy are in fact distributed in more than one pixel and, consequently, are misplaced and should be rejected from the imaging process. The authors introduce the rationale for statistical and physical approaches and explain the various categories of photons considered in this study. Monte Carlo simulations were used to establish the rate of occurrence of each photon path.
机译：可以使用统计模型和物理模型研究低能光子的效用。全息光谱成像利用能量框架之间的相关性来优化初级光子表示。能量框架之间的关系可以通过对低能量光子（或事件）的物理描述来建立。结果表明，这些事件不仅构成与峰值图像具有偶然相关性的图像，而且在某些情况下，它们在空间上与一次光子没有区别。类似地，可能显示出，在一次能量处检测到的事件的重要部分实际上分布在一个以上的像素中，因此被放错了位置，应该从成像过程中剔除。作者介绍了统计和物理方法的基本原理，并解释了本研究中考虑的各种光子类别。蒙特卡罗模拟用于确定每个光子路径的发生率。

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