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EJNMMI Physics
Fig. 2 | EJNMMI Physics

Fig. 2

From: Sequential deep learning image enhancement models improve diagnostic confidence, lesion detectability, and image reconstruction time in PET

Fig. 2

Deep Learning Enhancement (DLE) + Deep Learning Time-of-flight (DLT) applications to a test subject with BMI 27.4 kg/m2, with an injected activity of 419.0 MBq FDG, scanned on a DMI PET-CT. The subject is a female patient, staging scan for breast carcinoma, with left axillary and a solitary, approximately 7 × 4 mm left supraclavicular node. Axial PET images and the SUVmax of the left supraclavicular fossa node (red arrow) are demonstrated. All images use an SUV scale of 0–6

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