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Comparison of parametric FBP and OS-EM reconstruction algorithm images for PET dynamic study
https://repo.qst.go.jp/records/42982
https://repo.qst.go.jp/records/4298232c349cc-0e38-4b3a-9361-1d4ce75baa9a
| Item type | 学術雑誌論文 / Journal Article(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2002-06-24 | |||||
| タイトル | ||||||
| タイトル | Comparison of parametric FBP and OS-EM reconstruction algorithm images for PET dynamic study | |||||
| 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 |
Oda, Keiichi
× Oda, Keiichi× Toyama, Hinako× Uemura, Koji× Ikoma, Youko× Kimura, Yuichi× Senda, Michio× 織田 圭一× 外山 比南子× 上村 幸司× 生駒 洋子× 木村 裕一 |
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| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | An Ordered subsets expectation maximization(OS-EM) algorithm is used for image reconstruction to suppress image noise and to make non-negative value images. We have applied OS-EM to a digital brain phantom and to human brain 18F-FDG PET kinetic studies to generate parametric images. A 45 min dynamic scan was performed starting injection of FDG with a 2D PET scanner. The images were reconstructed with OS-EM(6 iterations,16 subsets)and with filtered backprijection(FBP),and K1 ,K2 and K3 images were created by the Marquardt non-linear least squares method based on the 3-parameter kinetic model.Although the OS-EM activity images correlated fairly well with those obtained by FBP,the pixel correlations were poor for the K2 and K3 parametric images,but the plots were scattered along the line of identity and the mean values for K1,K2 and K3 obtained by OS-EM were almost equal to those by FBP.The kinetic fitting error for OS-EM was no smaller than that for FBP.The results suggest that OS-EM is not necessarily superior to FBP for creating parametric images. | |||||
| 書誌情報 |
Annals of Nuclear Medicine 巻 15, 号 5, p. 417-423, 発行日 2001 |
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| ISSN | ||||||
| 収録物識別子タイプ | ISSN | |||||
| 収録物識別子 | 0914-7187 | |||||
