CT-less Direct Correction of Attenuation and Scatter in the Image Space Using Deep Learning for Whole-Body FDG PET: Potential Benefits and Pitfalls.
Jeawon YangJae Ho SohnSpencer C BehrGrant T GullbergYoungho SeoPublished in: Radiology. Artificial intelligence (2020)
Deep learning-based direct ASC at whole-body PET is feasible and potentially can be used to overcome the current limitations of CT-based approaches, benefiting patients who are sensitive to radiation from CT.Supplemental material is available for this article.© RSNA, 2020.
Keyphrases
- deep learning
- positron emission tomography
- computed tomography
- dual energy
- image quality
- pet ct
- contrast enhanced
- end stage renal disease
- pet imaging
- artificial intelligence
- ejection fraction
- chronic kidney disease
- newly diagnosed
- magnetic resonance imaging
- machine learning
- magnetic resonance
- peritoneal dialysis
- prognostic factors
- nlrp inflammasome
- human health