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3D Image Reconstruction with Accurate System Modeling for the jPET-D4

https://repo.qst.go.jp/records/61743
https://repo.qst.go.jp/records/61743
2544a423-18a2-43c0-befa-15f87f46dc8b
Item type 会議発表用資料 / Presentation(1)
公開日 2006-09-06
タイトル
タイトル 3D Image Reconstruction with Accurate System Modeling for the jPET-D4
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 Yamaya, Taiga

× Yamaya, Taiga

WEKO 611179

Yamaya, Taiga

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Yoshida, Eiji

× Yoshida, Eiji

WEKO 611180

Yoshida, Eiji

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Sato, Masanobu

× Sato, Masanobu

WEKO 611181

Sato, Masanobu

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Kitamura, Keishi

× Kitamura, Keishi

WEKO 611182

Kitamura, Keishi

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Obi, Takashi

× Obi, Takashi

WEKO 611183

Obi, Takashi

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Tanada, Shuji

× Tanada, Shuji

WEKO 611184

Tanada, Shuji

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Murayama, Hideo

× Murayama, Hideo

WEKO 611185

Murayama, Hideo

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山谷 泰賀

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WEKO 611186

en 山谷 泰賀

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吉田 英治

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WEKO 611187

en 吉田 英治

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佐藤 允信

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WEKO 611188

en 佐藤 允信

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北村 圭司

× 北村 圭司

WEKO 611189

en 北村 圭司

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小尾 高史

× 小尾 高史

WEKO 611190

en 小尾 高史

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棚田 修二

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WEKO 611191

en 棚田 修二

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村山 秀雄

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WEKO 611192

en 村山 秀雄

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抄録
内容記述タイプ Abstract
内容記述 The jPET-D4 is a novel brain PET scanner which aims to achieve not only high spatial resolution bui also high scanner sensitivity by measuring 4-layer depth-of-interaction (DOI) information. At this stage, we have developed a full-ring prototype scanner. In this work, we present software strategies for fully 3D imagereconstruction and imaging performance of the jPET-D4 prototype. The quality of reconstructed images depends on an accurate model of relationships between object space and measurement space. Therefore iterative image reconstruction methods such as ML-EM have been successfully used to improve imagequality through accurate system modeling. However it is not practical to apply these methods directly to the jPET-D4 systems since the number of detector crystal pairs increases in proportion to the square of the number of DOI layers. The process that requires the most computational time and storage space is the calculation of a huge number of system matrix elements. In order to reduce computational cost while retaining the advantages of DOI information in iterative image reconstruction, we applied the DOI compression method which reduces date dimensions with suppression of resolution loss. We also used the approximated imaging system model which enables fast system matrix calculation while preserving image quality. At this development stage, histogram-based 3D OSEM was implemented. After evaluating basic imaging performance though phantom experiments, the first human brain images were obtained. The experimental results show that almost uniform spatial resolution of 2-3 mm is obtained over the field-of-view by using the 4-layer DOI information. The human brain images show the excellent imageing performance of the jPET-D4.
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 World Congress on Medical Physics and Biomedical Engineering 2006
発表年月日
日付 2006-09-01
日付タイプ Issued
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