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Comparison of utility of deep learning reconstruction on 3D MRCPs obtained with three different k-space data acquisitions in patients with IPMN.
Matsuyama, Takahiro; Ohno, Yoshiharu; Yamamoto, Kaori; Ikedo, Masato; Yui, Masao; Furuta, Minami; Fujisawa, Reina; Hanamatsu, Satomu; Nagata, Hiroyuki; Ueda, Takahiro; Ikeda, Hirotaka; Takeda, Saki; Iwase, Akiyoshi; Fukuba, Takashi; Akamatsu, Hokuto; Hanaoka, Ryota; Kato, Ryoichi; Murayama, Kazuhiro; Toyama, Hiroshi.
Affiliation
  • Matsuyama T; 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.
  • Yamamoto K; Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University, School of Medicine, Toyoake, Japan. yohno@fujita-hu.ac.jp.
  • Ikedo M; Canon Medical Systems Corporation, Otawara, Japan.
  • Yui M; Canon Medical Systems Corporation, Otawara, Japan.
  • Furuta M; Canon Medical Systems Corporation, Otawara, Japan.
  • Fujisawa R; Department of Radiology, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan.
  • Hanamatsu S; Department of Radiology, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan.
  • Nagata H; Department of Radiology, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan.
  • Ueda T; Department of Radiology, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan.
  • Ikeda H; Department of Radiology, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan.
  • Takeda S; Department of Radiology, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan.
  • Iwase A; Department of Radiology, Fujita Health University Hospital, Toyoake, Japan.
  • Fukuba T; Department of Radiology, Fujita Health University Hospital, Toyoake, Japan.
  • Akamatsu H; Department of Radiology, Fujita Health University Hospital, Toyoake, Japan.
  • Hanaoka R; Department of Radiology, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan.
  • Kato R; Department of Radiology, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan.
  • Murayama K; Department of Radiology, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan.
  • Toyama H; Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University, School of Medicine, Toyoake, Japan.
Eur Radiol ; 32(10): 6658-6667, 2022 Oct.
Article in En | MEDLINE | ID: mdl-35687136
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pancreatic Neoplasms / Deep Learning / Pancreatic Intraductal Neoplasms Type of study: Observational_studies Limits: Humans Language: En Journal: Eur Radiol Journal subject: RADIOLOGIA Year: 2022 Type: Article Affiliation country: Japan
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pancreatic Neoplasms / Deep Learning / Pancreatic Intraductal Neoplasms Type of study: Observational_studies Limits: Humans Language: En Journal: Eur Radiol Journal subject: RADIOLOGIA Year: 2022 Type: Article Affiliation country: Japan