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Metal-induced streak artifact reduction using iterative reconstruction algorithms in X-ray CT image of the dento-alveolar region
https://kitami-it.repo.nii.ac.jp/records/7537
https://kitami-it.repo.nii.ac.jp/records/753747d2edbb-0672-444b-9fd9-27561ce7932e
| 名前 / ファイル | ライセンス | アクション |
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Dong_Hayakawa_etal_OOOOjournal_Feb2013-1.pdf (2.2 MB)
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| Item type | 学術雑誌論文 / Journal Article(1) | |||||||||||||
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| 公開日 | 2013-02-27 | |||||||||||||
| タイトル | ||||||||||||||
| タイトル | Metal-induced streak artifact reduction using iterative reconstruction algorithms in X-ray CT image of the dento-alveolar region | |||||||||||||
| 言語 | en | |||||||||||||
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| 言語 | eng | |||||||||||||
| 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
× Hayakawa, Yoshihiko
× Kannenberg, Sven
× Kober, Comelia
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| 抄録 | ||||||||||||||
| 内容記述タイプ | Abstract | |||||||||||||
| 内容記述 | Objective: To reduce metal-induced streak artifact on oral and maxillofacial X-ray CT (computed tomography) images by developing the fast statistical image reconstruction system using iterative reconstruction algorithms. Study design: Adjacent CT images often depict similar anatomical structures in thin slices. So firstly images were reconstructed using the same projection data of an artifact-free image. Secondly images were processed by the successive iterative restoration method where projection data was generated from reconstructed image in sequence. Besides the maximum likelihood-expectation maximization algorithm, the ordered subset-expectation maximization algorithm (OS-EM) was examined. Also small ROI setting and reverse processing were applied for improving performance. Results: Both algorithms reduced artifacts instead of slightly decreasing gray levels. The OS-EM and small ROI reduced the processing duration without apparent detriments. Sequential and reverse processing didn’t show apparent effects. Conclusions: Two alternatives in iterative reconstruction methods were effective for artifacts reduction. The OS-EM algorithm and small ROI setting improved the performance. |
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| 書誌情報 |
en : Oral surgery, oral medicine, oral pathology, oral radiology 巻 115, 号 2, p. 63-73, 発行日 2013-02 |
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| DOI | ||||||||||||||
| 識別子タイプ | DOI | |||||||||||||
| 関連識別子 | https://doi.org/10.1016/j.oooo.2012.07.436 | |||||||||||||
| 出版者 | ||||||||||||||
| 出版者 | Elsevier | |||||||||||||
| 言語 | en | |||||||||||||
| 著者版フラグ | ||||||||||||||
| 言語 | en | |||||||||||||
| 値 | author | |||||||||||||
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| 出版タイプ | AM | |||||||||||||
| 出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa | |||||||||||||
