High-quality PET image synthesis from ultra-low-dose PET/MRI using bi-task deep learning

BACKGROUND: Lowering the dose for positron emission tomography (PET) imaging reduces patients’ radiation burden but decreases the image quality by increasing noise and reducing imaging detail and quantifications. This paper introduces a method for acquiring high-quality PET images from an ultra-low-...

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Detalles Bibliográficos
Autores principales: Sun, Hanyu, Jiang, Yongluo, Yuan, Jianmin, Wang, Haining, Liang, Dong, Fan, Wei, Hu, Zhanli, Zhang, Na
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9703111/
https://www.ncbi.nlm.nih.gov/pubmed/36465830
http://dx.doi.org/10.21037/qims-22-116

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9703111/
https://www.ncbi.nlm.nih.gov/pubmed/36465830
http://dx.doi.org/10.21037/qims-22-116

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