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Analysis of synthetic magnetic resonance images by multi-channel segmentation increases accuracy of volumetry in the putamen and decreases mis-segmentation in the dural sinuses.
Goto, Masami; Fukunaga, Issei; Hagiwara, Akifumi; Fujita, Shohei; Hori, Masaaki; Kamagata, Koji; Aoki, Shigeki; Abe, Osamu; Sakamoto, Hajime; Sakano, Yasuaki; Kyogoku, Shinsuke; Daida, Hiroyuki.
Affiliation
  • Goto M; Department of Radiological Technology, Faculty of Health Science, 12847Juntendo University, Tokyo, Japan.
  • Fukunaga I; Department of Radiological Technology, Faculty of Health Science, 12847Juntendo University, Tokyo, Japan.
  • Hagiwara A; Department of Radiology, 12847Juntendo University School of Medicine, Tokyo, Japan.
  • Fujita S; Department of Radiology, 12847Juntendo University School of Medicine, Tokyo, Japan.
  • Hori M; Department of Radiology, 13143The University of Tokyo Hospital, Tokyo, Japan.
  • Kamagata K; Department of Radiology, 12847Juntendo University School of Medicine, Tokyo, Japan.
  • Aoki S; Department of Radiology, Toho University Omori Medical Center, Tokyo, Japan.
  • Abe O; Department of Radiology, 12847Juntendo University School of Medicine, Tokyo, Japan.
  • Sakamoto H; Department of Radiology, 12847Juntendo University School of Medicine, Tokyo, Japan.
  • Sakano Y; Department of Radiology, 13143The University of Tokyo Hospital, Tokyo, Japan.
  • Kyogoku S; Department of Radiological Technology, Faculty of Health Science, 12847Juntendo University, Tokyo, Japan.
  • Daida H; Department of Radiological Technology, Faculty of Health Science, 12847Juntendo University, Tokyo, Japan.
Acta Radiol ; 64(2): 741-750, 2023 Feb.
Article in En | MEDLINE | ID: mdl-35350871
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Full text: 1 Database: MEDLINE Main subject: Putamen / Gray Matter Limits: Humans Language: En Journal: Acta Radiol Year: 2023 Type: Article Affiliation country: Japan
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Full text: 1 Database: MEDLINE Main subject: Putamen / Gray Matter Limits: Humans Language: En Journal: Acta Radiol Year: 2023 Type: Article Affiliation country: Japan