Machine Learning in Quantitative PET: A Review of Attenuation Correction and Low-count Image Reconstruction Methods

The rapid expansion of machine learning is offering a new wave of opportunities for nuclear medicine. This paper reviews applications of machine learning for the study of attenuation correction (AC) and low-count image reconstruction in quantitative positron emission tomography (PET). Specifically,...

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Tallennettuna:
Bibliografiset tiedot
Julkaisussa:Phys Med
Päätekijät: Wang, Tonghe, Lei, Yang, Fu, Yabo, Curran, Walter J., Liu, Tian, Nye, Jonathon A, Yang, Xiaofeng
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: 2020
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Article
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC7484241/
https://ncbi.nlm.nih.gov/pubmed/32738777
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ejmp.2020.07.028
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