Effectiveness of deep learning reconstruction on standard to ultra-low-dose high-definition chest CT images

PURPOSE: Deep learning reconstruction (DLR) has been introduced by major vendors, tested for CT examinations of a variety of organs, and compared with other reconstruction methods. The purpose of this study was to compare the capabilities of DLR for image quality improvement and lung texture evaluat...

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Detalles Bibliográficos
Autores principales: Hamabuchi, Nayu, Ohno, Yoshiharu, Kimata, Hirona, Ito, Yuya, Fujii, Kenji, Akino, Naruomi, Takenaka, Daisuke, Yoshikawa, Takeshi, Oshima, Yuka, Matsuyama, Takahiro, Nagata, Hiroyuki, Ueda, Takahiro, Ikeda, Hirotaka, Ozawa, Yoshiyuki, Toyama, Hiroshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Nature Singapore 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10687108/
https://www.ncbi.nlm.nih.gov/pubmed/37498483
http://dx.doi.org/10.1007/s11604-023-01470-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10687108/
https://www.ncbi.nlm.nih.gov/pubmed/37498483
http://dx.doi.org/10.1007/s11604-023-01470-7

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