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Fig. 5 | EJNMMI Physics

Fig. 5

From: Artificial intelligence for reduced dose 18F-FDG PET examinations: a real-world deployment through a standardized framework and business case assessment

Fig. 5

Metabolic characterization of a right lung nodule. Patient injected with 66% dose of 18F-FDG. 1. Scan with reduced number of counts (acquisition with standard time and 66% FDG dose). 2. Native scan: scan with standard number of counts (acquisition with increased time). 3. Processed scan, resulting from the study with reduced counts (1) processed by AI SubtlePETTM. a Maximum Intensity Projection (MIP). b, d Fused transaxial positron emission tomography and computed tomography images. c, e Transaxial positron emission tomography images. All images were visualized with AW server station by setting the same parameters (DFOV 57.8 × 35.8 cm, M=6.01 g/ml). Lung lesion is easily and appropriately characterized by both native and AI SubtlePETTM images, see MIP (Fig. 5a) and transaxial (Fig. 5b); suspected metastatic lymph nodes are well visualized in both native and AI SubtlePET MIP (Fig. 5a) and transaxial images (Fig. 5c)

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