A novel figure of merit to investigate 68 Ga PET/CT image quality based on patient weight and lesion size using Q.Clear reconstruction algorithm: A phantom study
Q.Clear is a Bayesian penalised-likelihood algorithm that uses a β-value for positron emission tomography(PET)/computed tomography(CT) image reconstruction(IR). Our study proposes a novel figure of merit, named CRBV, to compare the Q.Clear performances using Ga PET/CT image with the ordered-subset-e...
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Veröffentlicht in: | Physica medica 2023-02, Vol.106, p.102523 |
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Format: | Artikel |
Sprache: | eng |
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