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EJNMMI Physics
Fig. 5 | EJNMMI Physics

Fig. 5

From: Deep learning-based image quality improvement of 18F-fluorodeoxyglucose positron emission tomography: a retrospective observational study

Fig. 5

Representative cases. Axial positron emission tomography (PET) images with conventional Gaussian filter a, c, e, g, i and those obtained with a deep learning method b, d, f, h, l, j. Lymphoma in a 47-year-old woman. Axial PET image shows increased metabolic activity (arrows) in the right parietal lobe a, b. Warthin tumor in an 87-year-old man with lung cancer. Axial PET image shows increased metabolic activity (arrows) in the right parotid gland c, d. Recurrent tumor in a 77-year-old man after surgery for lung cancer. Axial PET image shows increased metabolic activity (arrow) in the right lung e, f. Liver and lymph node metastases in an 88-year-old woman after surgery for lung cancer. Axial PET image shows increased metabolic activity in the right lobe of the liver (arrows) and paraaortic lymph nodes (arrowheads) g, h. Lymph node metastases in a 70-year-old man after surgery for colon cancer. Axial PET image shows increased metabolic activity (arrow) in the right paraaortic lymph node i, j

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