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  1. 学術雑誌掲載済論文
  2. 洋雑誌

Iterative correction applied to streak artifact reduction in an X-ray computed tomography image of the dento-alveolar region

https://kitami-it.repo.nii.ac.jp/records/7526
edaa86e9-1596-4e58-bb81-8902715e3e96
名前 / ファイル ライセンス アクション
Kondo_etal_finalform_Oral_Radiol_2010.pdf Kondo_etal_finalform_Oral_Radiol_2010.pdf (902.9 kB)
Item type 学術雑誌論文 / Journal Article(1)
公開日 2012-06-12
タイトル
言語 en
タイトル Iterative correction applied to streak artifact reduction in an X-ray computed tomography image of the dento-alveolar region
言語
言語 eng
キーワード
主題Scheme Other
主題 X-ray computed tomography
キーワード
主題Scheme Other
主題 Computer-assisted image processing
キーワード
主題Scheme Other
主題 Dental radiography
キーワード
主題Scheme Other
主題 Iterative correction
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 Kondo, Atsushi

× Kondo, Atsushi

WEKO 38544

en Kondo, Atsushi

Search repository
Hayakawa, Yoshihiko

× Hayakawa, Yoshihiko

WEKO 38545

en Hayakawa, Yoshihiko

Search repository
Dong, Jian

× Dong, Jian

WEKO 38546

en Dong, Jian

Search repository
Honda, Akira

× Honda, Akira

WEKO 38547

en Honda, Akira

Search repository
抄録
内容記述タイプ Abstract
内容記述 Objectives:
Streak artifacts that appear on dental and maxillofacial X-ray computed tomography (CT) images are mainly caused by the presence of metallic prosthetic appliances. Because of the design of common CT hardware, the thin slice thickness method is routinely used in CT examinations of the dento-alveolar region. Thus, within the resulting collection of thin slice images, adjacent CT images will often depict very similar anatomical structures. We took advantage of this aspect and employed iterative correction to reduce the streak artifact caused by metallic materials.
Methods:
The maximum likelihood-expectation maximization (ML-EM) reconstruction algorithm, a type of statistical reconstruction method, was applied to multidetector CT images. The ML-EM is an iterative restoration method that approximates between the processed image and the original projection data. In our study, we processed slices with heavy streak artifacts by using the projection data of an adjacent CT image without any major artifacts. Because the adjacent slices depicted very similar anatomical structures, they became the target of the proposed processing. Thus, the processing is essentially an iterative correction.
Results:
The iterative correction was carried out 50 times. Processed images at the initial stage were blurred, but some streak artifacts clearly disappeared as the iteration progressed.
Conclusions:
An ML-EM reconstruction algorithm can be used to modify iterative correction to reduce streak artifacts in dental and maxillofacial CT images. We used an image that contained heavy artifacts in our study, and after 50 iterative correction cycles, only a few weak artifacts remained on the processed image. The final image produced by our iterative correction method depicted clear anatomical structures and developed only marginal deviations from the original image.
書誌情報 Oral radiology

巻 26, 号 1, p. 61-65, 発行日 2010-06
DOI
関連識別子
識別子タイプ DOI
関連識別子 http://doi.org/10.1007/s11282-010-0037-6
出版者
出版者 Springer
著者版フラグ
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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