巧合
规范化(社会学)
正电子发射断层摄影术
探测器
计算机科学
人工智能
物理
核医学
数学
光学
医学
病理
人类学
社会学
替代医学
作者
Ramsey D. Badawi,Paul Marsden
标识
DOI:10.1088/0031-9155/44/2/020
摘要
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.
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