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Study on Image Segmentation in CT Metal Artifacts
http://hdl.handle.net/10228/5841
http://hdl.handle.net/10228/5841eb1bf586-3abf-46f8-b11d-10711f50185c
| 名前 / ファイル | ライセンス | アクション |
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ICISIP2014_326.pdf (454.0 kB)
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| アイテムタイプ | 会議発表論文 = Conference Paper(1) | |||||||||||
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| 公開日 | 2016-10-20 | |||||||||||
| 資源タイプ | ||||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_5794 | |||||||||||
| 資源タイプ | conference paper | |||||||||||
| タイトル | ||||||||||||
| タイトル | Study on Image Segmentation in CT Metal Artifacts | |||||||||||
| 言語 | en | |||||||||||
| 言語 | ||||||||||||
| 言語 | eng | |||||||||||
| 著者 |
Yan, Ziyue
× Yan, Ziyue× Hu, Xuelong× 張, 力峰× 芹川, 聖一
WEKO
262
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| 抄録 | ||||||||||||
| 内容記述タイプ | Abstract | |||||||||||
| 内容記述 | Computed Tomography (CT) is one of the most important means of medical diagnosis and the quality of CT image can be seriously affected by metal artifacts. How to use CT image segmentation to extract the focused region is a classical difficult problem in this research field. According to the principle of CT reconstruction, after the medical image segmentation, projection of the metal part by compensation can improve the image quality. This paper first introduces the causes of the metal artifacts as well as the principle of CT image reconstruction. Then，it mainly discusses the simple and iterative threshold segmentation to solve metal artifacts. Corresponding comparison shows that the proposed method in this study has better segmentation effect based on the experimental results. Finally, the prospect of medical image segmentation is predicted to indicate future research work. | |||||||||||
| 備考 | ||||||||||||
| 内容記述タイプ | Other | |||||||||||
| 内容記述 | The 2nd International Conference on Intelligent Systems and Image Processing 2014 (ICISIP2014), September 26-29, 2014, Nishinippon Institute of Technology, Kitakyushu, Japan | |||||||||||
| 書誌情報 |
Proceedings of the 2nd International Conference on Intelligent Systems and Image Processing 2014 (ICISIP2014) p. 326-329, 発行日 2014-09-27 |
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| 出版社 | ||||||||||||
| 出版社 | ICISIP2014 | |||||||||||
| DOI | ||||||||||||
| 関連タイプ | isIdenticalTo | |||||||||||
| 識別子タイプ | DOI | |||||||||||
| 関連識別子 | https://doi.org/10.12792/icisip2014.062 | |||||||||||
| 著作権関連情報 | ||||||||||||
| 権利情報 | 産業応用工学会 | |||||||||||
| キーワード | ||||||||||||
| 主題Scheme | Other | |||||||||||
| 主題 | metal artifacts | |||||||||||
| キーワード | ||||||||||||
| 主題Scheme | Other | |||||||||||
| 主題 | image segmentation | |||||||||||
| キーワード | ||||||||||||
| 主題Scheme | Other | |||||||||||
| 主題 | image quality | |||||||||||
| キーワード | ||||||||||||
| 主題Scheme | Other | |||||||||||
| 主題 | threshold segmentation | |||||||||||
| 出版タイプ | ||||||||||||
| 出版タイプ | VoR | |||||||||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||||||||
| 査読の有無 | ||||||||||||
| 値 | yes | |||||||||||
| 研究者情報 | ||||||||||||
| URL | https://hyokadb02.jimu.kyutech.ac.jp/html/88_ja.html | |||||||||||
| 連携ID | ||||||||||||
| 値 | 5715 | |||||||||||
