Image quality improvement in low‐dose chest CT with deep learning image reconstruction

OBJECTIVES: To investigate the clinical utility of deep learning image reconstruction (DLIR) for improving image quality in low‐dose chest CT in comparison with 40% adaptive statistical iterative reconstruction‐Veo (ASiR‐V40%) algorithm. METHODS: This retrospective study included 86 patients who und...

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Detalles Bibliográficos
Autores principales: Tian, Qian, Li, Xinyu, Li, Jianying, Cheng, Yannan, Niu, Xinyi, Zhu, Shumeng, Xu, Wenting, Guo, Jianxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Medical Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9797160/
https://www.ncbi.nlm.nih.gov/pubmed/36210060
http://dx.doi.org/10.1002/acm2.13796

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9797160/
https://www.ncbi.nlm.nih.gov/pubmed/36210060
http://dx.doi.org/10.1002/acm2.13796

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