Developments in component-based normalization for 3D PET
Developments in component-based normalization for 3D PET
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DOI：
10.1088/0031-9155/44/2/020
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发表时间：
1999-02-01
影响因子：
3.5
通讯作者：
Marsden, PK
中科院分区：
文献类型：
--
作者：
Badawi, RD;Marsden, PK
正电子发射层析成像（PET）的归一化是保证所有与探测器重合的响应线具有相同的有效灵敏度的过程。在三维（3D） PET中，由于存在大量分散的巧合，以及在3D模式下操作的相机遇到非常大范围的计数率，使归一化变得复杂。在这项工作中，提出了一个基于组件的归一化模型，该模型分离了真巧合和分散巧合的归一化，并考虑了归一化效果随计数率的变化。研究了模型中各个分量对重建图像的影响，结果表明，只有这些分量的一个子集对重建图像的质量有显著影响。
Normalization in positron emission tomography (PET) is the process of ensuring that all lines of response joining detectors in coincidence have the same effective sensitivity. In three dimensional (3D) PET, normalization is complicated by the presence of a large proportion of scattered coincidences, and by the fact that cameras operating in 3D mode encounter a very wide range of count-rates. In this work a component-based normalization model is presented which separates the normalization of true and scattered coincidences and accounts for variations in normalization effects with count-rate. The effects of the individual components in the model on reconstructed images are investigated, and it is shown that only a subset of these components has a significant effect on reconstructed image quality.