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Event-by-Event Random and Scatter Estimator Based on Support Vector Machine using Multi-anode Outputs

https://repo.qst.go.jp/records/68224
https://repo.qst.go.jp/records/68224
bcd8b255-9d5d-4b24-9fa2-e22687ad554d
Item type 会議発表用資料 / Presentation(1)
公開日 2005-11-04
タイトル
タイトル Event-by-Event Random and Scatter Estimator Based on Support Vector Machine using Multi-anode Outputs
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 Yoshida, Eiji

× Yoshida, Eiji

WEKO 669868

Yoshida, Eiji

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吉田 英治

× 吉田 英治

WEKO 669869

en 吉田 英治

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抄録
内容記述タイプ Abstract
内容記述 In PET, an incident angle of gamma ray is estimated from a coincidence information, but coincidence events are contaminated with random and scatter components. The mean contribution to the image from these components can be measured or estimated, but the noise resulting from the statistical variations in the detected events still remains and decreases noise equivalent count rates (NECR). Theoretically, incident angle to detectors or other related information can be used to discriminate random and scatter events from true events for increasing the NECR. These information can be delineated from spatial distributions of deposit energies on multi-anode PMTs, which arise from inter-crystal scattering and vary with the coincidence event type (true or random/scatter). In this work, a novel method for random and scatter subtraction has been developed using a recently developed and widely used statistical pattern recognition scheme of the support vector machine (SVM). Input data of the SVM is a pair of spatial distributions of 256 outputs of multi-anode PMTs from coincidence detectors. SVM was trained by coincidence events generated from a detector simulator using Monte Carlo calculation. The simulation study showed the proposed method was applicable for event-by-event estimation of scatter and random coincidence.
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 Medical Image Conference
発表年月日
日付 2005-10-29
日付タイプ Issued
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