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Fig. 1 | Cancer Imaging

Fig. 1

From: Enhancing 18F-FDG PET image quality and lesion diagnostic performance across different body mass index using the deep progressive learning reconstruction algorithm

Fig. 1

Visual image quality parameters of PET images reconstructed by using OSEM and DPL across different BMI categories. a–d represent the values of the overall score, image sharpness, image noise and diagnostic confidence, respectively, which are the four criteria for assessing PET visual image quality. Each criterion is rated on a 5-point scale, where 1 indicating poor image quality and 5 indicating excellent image quality. UW = underweight, N = normal and O = overweight. * indicates P < 0.05 and *** indicates P < 0.001

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Cancer Imaging

ISSN: 1470-7330

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