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GPU-based image reconstruction method including geometrical detector response functions for OpenPET
https://repo.qst.go.jp/records/64190
https://repo.qst.go.jp/records/641903da413ca-3e47-49b5-8992-33fbf62d6794
| Item type | 会議発表用資料 / Presentation(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2011-01-21 | |||||
| タイトル | ||||||
| タイトル | GPU-based image reconstruction method including geometrical detector response functions for OpenPET | |||||
| 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_c94f | |||||
| 資源タイプ | conference object | |||||
| 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 |
Kinouchi, Shoko
× Kinouchi, Shoko× Yamaya, Taiga× Yoshida, Eiji× Tashima, Hideaki× Kudou, Hiroyuki× Suga, Mikio× 木内 尚子× 山谷 泰賀× 吉田 英治× 田島 英朗× 工藤 博幸× 菅 幹生 |
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| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | The OpenPET, which has a physical gap between two detector rings, is our new geometry. In order to realize future radiation therapy guided by OpenPET, real-time imaging is required. Therefore we developed a list-mode image reconstruction method using general purpose graphic processing units (GPUs). For GPU implementation, the efficiency of acceleration depends on the implementation method which is required to avoid conditional statements. In this paper, therefore, we developed a new system model suitable for GPU implementation. In the proposed system model, each element of system matrix was calculated as the value of detector response function (DRF) of the length between the center of a voxel and a line of response (LOR). The DRF, which was calculated analytically to represent the probability distribution of each LOR, was modeled by a sixth-order polynomial function. The system model enabled us to calculate each element of the system matrix with reduced number of the conditional statements. We used the list-mode dynamic row-action maximum likelihood algorithm (DRAMA) which could reduce the number of iterations to only one. We applied the developed method to a small OpenPET prototype, which was developed for a proof-of-concept. The results showed that high quality reconstructed images were obtained using the proposed system model with 14.8 times faster than using the conventional system model. | |||||
| 会議概要（会議名, 開催地, 会期, 主催者等） | ||||||
| 内容記述タイプ | Other | |||||
| 内容記述 | International Forum on Medical Imaging in Asia | |||||
| 発表年月日 | ||||||
| 日付 | 2011-01-19 | |||||
| 日付タイプ | Issued | |||||
