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  1. 学術雑誌論文
  2. 洋雑誌

Successive iterative restoration applied to streak artifact reduction in X-ray CT image of dento-alveolar region

https://kitami-it.repo.nii.ac.jp/records/7525
https://kitami-it.repo.nii.ac.jp/records/7525
6ad035b7-942b-44dd-b93a-e2a61aaea895
名前 / ファイル ライセンス アクション
Dong Dong etal_JCARSVol6No5 (2011)635-640.pdf (362.1 kB)
Item type 学術雑誌論文 / Journal Article(1)
公開日 2012-06-12
タイトル
タイトル Successive iterative restoration applied to streak artifact reduction in X-ray CT image of dento-alveolar region
言語 en
言語
言語 eng
キーワード
主題Scheme Other
主題 X-ray CT image
キーワード
主題Scheme Other
主題 Iterative restoration
キーワード
主題Scheme Other
主題 Streak artifact reduction
キーワード
主題Scheme Other
主題 Dento-alveolar imaging
キーワード
主題Scheme Other
主題 Maxillofacial imaging
資源タイプ
資源 http://purl.org/coar/resource_type/c_6501
タイプ journal article
アクセス権
アクセス権 open access
アクセス権URI http://purl.org/coar/access_right/c_abf2
著者 Dong, Jian

× Dong, Jian

en Dong, Jian

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Kondo, Atsushi

× Kondo, Atsushi

en Kondo, Atsushi

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Abe, Kosuke

× Abe, Kosuke

en Abe, Kosuke

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Hayakawa, Yoshihiko

× Hayakawa, Yoshihiko

en Hayakawa, Yoshihiko

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抄録
内容記述タイプ Abstract
内容記述 Purpose: X-ray computed tomography (CT) images in the
dento-alveolar region are sometimes rendered unusable for
diagnostic purposes due to the appearance of streak artifacts.
The purpose of the study is to reduce streak artifacts
appeared on dental and maxillofacial X-rayCT images by the
application of modified iterative restoration method.
Methods: We took advantage of the aspect that adjacent CT
images often depict very similar anatomical structures within
the resulting collection of thin-slice images. CT images
having streak artifacts were processed using the projection
data of adjacent CT images. A modified iterative correction,
the maximum likelihood-expectation maximization
(ML-EM) reconstruction algorithm, was employed to reduce
the streak artifact caused by metallic materials in the oral
cavity. It approximates between the processed image and the
original projection data. First, the projection data of an intact
image were obtained, and then, the next image that had streak
artifacts was processed. The projection data of the processed
image were obtained, and the ML-EM method was applied
to the next image again. Then, the successive iterative restoration
was carried out.
Results: Twelve adjacent images were processed. Each
iterative restoration was carried out fifty times. Streak artifacts
were observed on processed images at the initial stage,
but some of them either suppressed or disappeared as the
iteration progressed.
Conclusions: The modified ML-EM method was effective to
reduce streak artifacts in X-ray CT images in dento-alveolar
region.
書誌情報 International Journal of Computer Assisted Radiology and Surgery

巻 6, 号 5, p. 635-640, 発行日 2011
DOI
識別子タイプ DOI
関連識別子 http://doi.org/10.1007/s11548-010-0544-2
出版者
出版者 Springer
言語 en
著者版フラグ
言語 en
値 author
出版タイプ
出版タイプ AM
出版タイプResource http://purl.org/coar/version/c_ab4af688f83e57aa
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