Comparison of lung CT number and airway dimension evaluation capabilities of ultra-high-resolution CT, using different scan modes and reconstruction methods including deep learning reconstruction, with those of multi-detector CT in a QIBA phantom study

Yoshiharu Ohno, Naruomi Akino, Yasuko Fujisawa, Hirona Kimata, Yuya Ito, Kenji Fujii, Yumi Kataoka, Yoshihiro Ida, Yuka Oshima, Nayu Hamabuchi, Chika Shigemura, Ayumi Watanabe, Yuki Obama, Satomu Hanamatsu, Takahiro Ueda, Hirotaka Ikeda, Kazuhiro Murayama, Hiroshi Toyama

研究成果: ジャーナルへの寄稿 › 学術論文 › 査読

4 被引用数 (Scopus)

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「Comparison of lung CT number and airway dimension evaluation capabilities of ultra-high-resolution CT, using different scan modes and reconstruction methods including deep learning reconstruction, with those of multi-detector CT in a QIBA phantom study」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

Comparison of lung CT number and airway dimension evaluation capabilities of ultra-high-resolution CT, using different scan modes and reconstruction methods including deep learning reconstruction, with those of multi-detector CT in a QIBA phantom study

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Chemical Engineering

Medicine and Dentistry

Engineering