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Deep learning-based and hybrid-type iterative reconstructions for CT: comparison of capability for quantitative and qualitative image quality improvements and small vessel evaluation at dynamic CE-abdominal CT with ultra-high and standard resolutions.
Matsukiyo, Ryo; Ohno, Yoshiharu; Matsuyama, Takahiro; Nagata, Hiroyuki; Kimata, Hirona; Ito, Yuya; Ogawa, Yukihiro; Murayama, Kazuhiro; Kato, Ryoichi; Toyama, Hiroshi.
Affiliation
  • Matsukiyo R; Department of Radiology, Fujita Health University School of Medicine, 1-98, Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan.
  • Ohno Y; Department of Radiology, Fujita Health University School of Medicine, 1-98, Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan. yohno@fujita-hu.ac.jp.
  • Matsuyama T; Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine, 1-98, Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan. yohno@fujita-hu.ac.jp.
  • Nagata H; Department of Radiology, Fujita Health University School of Medicine, 1-98, Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan.
  • Kimata H; Department of Radiology, Fujita Health University School of Medicine, 1-98, Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan.
  • Ito Y; Canon Medical Systems Corporation, 1385 Shimoishigami, Otawara-shi, Tochigi, 324-8550, Japan.
  • Ogawa Y; Canon Medical Systems Corporation, 1385 Shimoishigami, Otawara-shi, Tochigi, 324-8550, Japan.
  • Murayama K; Canon Medical Systems Corporation, 1385 Shimoishigami, Otawara-shi, Tochigi, 324-8550, Japan.
  • Kato R; Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine, 1-98, Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan.
  • Toyama H; Department of Radiology, Fujita Health University School of Medicine, 1-98, Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan.
Jpn J Radiol ; 39(2): 186-197, 2021 Feb.
Article in En | MEDLINE | ID: mdl-33037956
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Carcinoma, Renal Cell / Tomography, X-Ray Computed / Abdomen / Quality Improvement / Deep Learning / Kidney / Kidney Neoplasms Type of study: Qualitative_research Limits: Female / Humans / Male / Middle aged Language: En Journal: Jpn J Radiol Journal subject: DIAGNOSTICO POR IMAGEM / RADIOLOGIA / RADIOTERAPIA Year: 2021 Document type: Article Affiliation country: Japan Country of publication: Japan
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Carcinoma, Renal Cell / Tomography, X-Ray Computed / Abdomen / Quality Improvement / Deep Learning / Kidney / Kidney Neoplasms Type of study: Qualitative_research Limits: Female / Humans / Male / Middle aged Language: En Journal: Jpn J Radiol Journal subject: DIAGNOSTICO POR IMAGEM / RADIOLOGIA / RADIOTERAPIA Year: 2021 Document type: Article Affiliation country: Japan Country of publication: Japan