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- W3029694515 abstract "ObjectiveTo discuss the impact of an iterative reconstruction algorithm (True X) implemented with point spread function (PSF) on image quality and SUV in 18F-FDG PET, and compare with other reconstruction algorithms.MethodsA total of 79 hypermetabolic lesions from 37 cancer patients (23 males, 14 females, age (63.38±15.25) years) were retrospectively studied. The PET images were reconstructed using the following six reconstruction algorithms, including FBP, FBP+ TOF, iteration, iteration+ TOF, True X, True X+ TOF. Paired t test was used for statistical analysis.ResultsAll six reconstruction algorithms showed significant difference in lesion SUVmax. The adoption of PSF increased SUVmax by 15%-16%, and decreased the dispersion of SUV in the liver parenchyma remarkably.ConclusionsLesion SUVmax calculated from different reconstruction algorithms has significant differences. Caution should be taken in using PSF, as it can improve image quality but may also increase lesion SUVmax.Key words: Positron-emission tomography; Image processing, computed-assisted; Point spread function; Deoxyglucose" @default.
- W3029694515 created "2020-06-05" @default.
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- W3029694515 date "2017-08-25" @default.
- W3029694515 modified "2023-09-23" @default.
- W3029694515 title "Impact of point spread function on image quality and SUV in FDG PET imaging" @default.
- W3029694515 doi "https://doi.org/10.3760/cma.j.issn.2095-2848.2017.08.006" @default.
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