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CT-less Direct Correction of Attenuation and Scatter in the Image Space Using Deep Learning for Whole-Body FDG PET: Potential Benefits and Pitfalls
PURPOSE: To demonstrate the feasibility of CT-less attenuation and scatter correction (ASC) in the image space using deep learning for whole-body PET, with a focus on the potential benefits and pitfalls. MATERIALS AND METHODS: In this retrospective study, 110 whole-body fluorodeoxyglucose (FDG) PET/...
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| Veröffentlicht in: | Radiol Artif Intell |
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| Hauptverfasser: | , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Radiological Society of North America
2020
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8043359/ https://ncbi.nlm.nih.gov/pubmed/33937860 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1148/ryai.2020200137 |
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