Virtual high-count PET image generation using a deep-learning method.
Sign Up to like & getrecommendations! Published in 2022 at "Medical physics"
DOI: 10.1002/mp.15867
Abstract: PURPOSE Recently, deep learning-based methods have been established to denoise the low-count PET images and predict their standard-count image counterparts, which could achieve reduction of injected dosage and scan time, and improve image quality for… read more here.
Keywords: standard count; count; count pet; image ... See more keywords
Whole-body PET estimation from low count statistics using cycle-consistent generative adversarial networks.
Sign Up to like & getrecommendations! Published in 2019 at "Physics in medicine and biology"
DOI: 10.1088/1361-6560/ab4891
Abstract: OBJECTIVES Lowering either the administered activity or scan time is desirable in PET imaging as it decreases the patient's radiation burden or improves patient comfort and reduces motion artifacts. But reducing these parameters lowers overall… read more here.
Keywords: low count; cycle; count statistics; count pet ... See more keywords