Unenhanced abdominal low-dose CT reconstructed with deep learning-based image reconstruction: image quality and anatomical structure depiction

PURPOSE: To evaluate the utility of deep learning-based image reconstruction (DLIR) algorithm in unenhanced abdominal low-dose CT (LDCT). MATERIALS AND METHODS: Two patient groups were included in this prospective study: 58 consecutive patients who underwent unenhanced abdominal standard-dose CT rec...

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Detalles Bibliográficos
Autores principales: Kaga, Tetsuro, Noda, Yoshifumi, Mori, Takayuki, Kawai, Nobuyuki, Miyoshi, Toshiharu, Hyodo, Fuminori, Kato, Hiroki, Matsuo, Masayuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Nature Singapore 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252942/
https://www.ncbi.nlm.nih.gov/pubmed/35286578
http://dx.doi.org/10.1007/s11604-022-01259-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252942/
https://www.ncbi.nlm.nih.gov/pubmed/35286578
http://dx.doi.org/10.1007/s11604-022-01259-0

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