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Improvement of likelihood estimation in Logan graphical analysis using maximum a posteriori for neuroreceptor PET imaging
https://repo.qst.go.jp/records/45433
https://repo.qst.go.jp/records/45433c08df639-9a7a-4c69-a0d0-de7303288e1f
| Item type | 学術雑誌論文 / Journal Article(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2009-03-04 | |||||
| タイトル | ||||||
| タイトル | Improvement of likelihood estimation in Logan graphical analysis using maximum a posteriori for neuroreceptor PET imaging | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
| 資源タイプ | journal article | |||||
| アクセス権 | ||||||
| アクセス権 | metadata only access | |||||
| アクセス権URI | http://purl.org/coar/access_right/c_14cb | |||||
| 著者 |
Shidahara, Miho
× Shidahara, Miho× Seki, Chie× Naganawa, Mika× Sakata, Muneyuki× Ishikawa, Masatomo× Ito, Hiroshi× Kanno, Iwao× Ishiwata, Kiichi× Kimura, Yuichi× 志田原 美保× 関 千江× 長縄 美香× 伊藤 浩× 菅野 巖× 石渡 喜一× 木村 裕一 |
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| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | OBJECTIVE: To reduce variance of the total volume of distribution (V (T)) image, we improved likelihood estimation in graphical analysis (LEGA) for dynamic positron emission tomography (PET) images using maximum a posteriori (MAP). \nMETHODS: In our proposed MAP estimation in graphical analysis (MEGA), a set of time-activity curves (TACs) was formed with V (T) varying in physiological range as a template, and then the most similar TAC was sought out for a given measured TAC in a feature space. In simulation, MEGA was compared with other three methods, Logan graphical analysis (GA), multilinear analysis (MA1), and LEGA using 500 noisy TACs, under each of seven physiological conditions (from 9.9 to 61.5 of V (T)). PET studies of [(11)C]SA4503 were performed in three healthy volunteers. In clinical studies, the V (T) images estimated from MEGA were compared with region of interest (ROI) estimates from a nonlinear least square (NLS) fitting over four brain regions. \nRESULTS: In the simulation study, the estimated V (T) by GA had a large underestimation (y = 0.27x + 8.72, r (2) = 0.87). Applying the other methods (MA1, LEGA, and MEGA), these noise-induced biases were improved (y = 0.80x + 4.04, r (2) = 0.98; y = 0.85x + 3.05, r (2) = 0.99; y = 0.96x + 1.21, r (2) = 0.99, respectively). MA1 and LEGA produced increased variance of the estimated V (T) in clinical studies. However, MEGA improved signal-to-noise ratio (SNR) in V (T) images with linear correlations between ROI estimates with NLS (y = 0.87x + 5.1, r (2) = 0.96). \nCONCLUSIONS: MEGA was validated as an alternative strategy of LEGA to improve estimates of V (T) in clinical PET imaging. |
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| 書誌情報 |
Annals of Nuclear Medicine 巻 23, 号 2, p. 163-171, 発行日 2009-02 |
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| ISSN | ||||||
| 収録物識別子タイプ | ISSN | |||||
| 収録物識別子 | 0914-7187 | |||||
| DOI | ||||||
| 識別子タイプ | DOI | |||||
| 関連識別子 | 10.1007/s12149-008-0226-0 | |||||
