Improvement of likelihood estimation in Logan graphical analysis using maximum a posteriori for neuroreceptor PET imaging --- toward bias-free distribution volume imaging from noise in PET data ---

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Summary, etc.：: Objective: Logan graphical analysis (LGA; Logan, JCBF, 1990) is useful for neuroreceptor imaging. LGA does not assume the number of compartments to d...

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Material Type: 文書・図像類
Title: Improvement of likelihood estimation in Logan graphical analysis using maximum a posteriori for neuroreceptor PET imaging --- toward bias-free distribution volume imaging from noise in PET data ---
Author/Editor: Kimura, Yuichi
Shidahara, Miho
Seki, Chie
Naganawa, Mika
Sakata, Muneyuki
Ishikawa, Masatomo
Ito, Hiroshi
Kanno, Iwao
Ishiwata, Kiichi
木村裕一
志田原美保
関千江
長縄美香
坂田宗之
伊藤浩
菅野巖
石渡喜一
Author Heading: Kimura, Yuichi
Shidahara, Miho
Seki, Chie
Naganawa, Mika
Sakata, Muneyuki
Ishikawa, Masatomo
Ito, Hiroshi
Kanno, Iwao
Ishiwata, Kiichi
木村裕一
志田原美保
関千江
長縄美香
坂田宗之
伊藤浩
菅野巖
石渡喜一
Publication Date: 2008-12-15
Publication Date (W3CDTF): 2008-12-15
Text Language Code: eng
Target Audience: 一般
Note (General): 分子イメージング研究シンポジウム　MOLECULAR IMAGING2008
Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）
https://irdb.nii.ac.jp
Original Data Provider (Database): 国立研究開発法人量子科学技術研究開発機構 : 量子科学技術研究開発機構学術機関リポジトリ