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Developments in component-based normalization for 3D PET.

Authors
Type
Published Article
Journal
Physics in Medicine and Biology
Publisher
IOP Publishing
Volume
44
Issue
2
Pages
571–594
Source
Badawi Lab
License
Unknown

Abstract

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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