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Improvement of Reconstruction Algorithm for Compton Camera

https://repo.qst.go.jp/records/77802
https://repo.qst.go.jp/records/77802
582ff0eb-f4a1-438a-b675-de895b8708eb
Item type 会議発表用資料 / Presentation(1)
公開日 2019-12-04
タイトル
タイトル Improvement of Reconstruction Algorithm for Compton Camera
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 Sakai, Makoto

× Sakai, Makoto

WEKO 810130

Sakai, Makoto

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Kumar Parajuli, Raj

× Kumar Parajuli, Raj

WEKO 810131

Kumar Parajuli, Raj

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Kubota, Yoshiki

× Kubota, Yoshiki

WEKO 810132

Kubota, Yoshiki

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Kubo, Nobuteru

× Kubo, Nobuteru

WEKO 810133

Kubo, Nobuteru

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Kikuchi, Mikiko

× Kikuchi, Mikiko

WEKO 810134

Kikuchi, Mikiko

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Arakawa, Kazuo

× Arakawa, Kazuo

WEKO 810135

Arakawa, Kazuo

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Nakano, Takashi

× Nakano, Takashi

WEKO 810136

Nakano, Takashi

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Parajuli, Raj

× Parajuli, Raj

WEKO 810137

en Parajuli, Raj

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Nakano, Takashi

× Nakano, Takashi

WEKO 810138

en Nakano, Takashi

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抄録
内容記述タイプ Abstract
内容記述 A Compton camera is a device for imaging a radio-source distribution without using a mechanical collimator. Ordered-subset Expectation-Maximization (OS-EM) is widely used to reconstruct Compton images. However, the OS-EM algorithms tend to over-concentrate and amplify noise in the reconstructed image. It is necessary to optimize the number of iterations to develop high-quality images, but it is difficult. Thus, we introduce a median root prior expectation-maximization (MRP-EM) algorithm to overcome this problem. We evaluated the quality of images reconstructed by the proposed method and compared it with that by conventional algorithms using mathematical phantoms. The spatial resolution was estimated using the images of two point sources. In addition, reproducibility was evaluated on an ellipsoidal phantom. MRP-EM reduces the generated noise and is robust with respect to the number of iterations. An evaluation of the reconstructed image quality using some statistical indices shows that our proposed method delivers better results than conventional techniques.
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 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (2019 IEEE-NSS-MIC)
発表年月日
日付 2019-10-31
日付タイプ Issued
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