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A Rule-Based Expert System for Automatic Segmentation of Cerebral MRI Images
http://hdl.handle.net/10487/1465
http://hdl.handle.net/10487/1465bc9773f6-78b8-4f53-aaaf-839546d4b690
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
SJKU Vol 18 03-10.pdf (726.8 kB)
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| Item type | 紀要論文 / Departmental Bulletin Paper(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2009-02-23 | |||||
| タイトル | ||||||
| タイトル | A Rule-Based Expert System for Automatic Segmentation of Cerebral MRI Images | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | fuzzy clustering | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | rule base | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | MRI | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | segmentation | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | morphological filter | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
| 資源タイプ | departmental bulletin paper | |||||
| 著者 |
Zhang, Shanjun
× Zhang, Shanjun× 張, 善俊× Yoshino, Kazuyoshi× 吉野, 和芳 |
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| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | The interior boundary of medical image is fuzzy in nature. In this paper, proposed is a novel method to segment and classify the MR image of head by fuzzy clustering and fuzzy reasoning. Traditional fuzzy clustering methods are basically statistical ones in which only intensity affinities of the image are reflected. Considering the characteristics of MR image, we constructed a set of knowledge-based rules to set the fuzzy memberships of the pixels of the image by generally using the intensity similarities, positional relationships among multiple spectra MR images, and the shape features of the brain tissues and the mathematics morphological analogy of the brain tissues. Then a coarse-to-fine reasoning method is used to combine the fuzzy memberships of the pixels of the T1- and T2- channels of the image to segment the cerebral tissues into gray matter, white matter, and CSF. Experimental results showed the efficiency of the method. | |||||
| 書誌情報 |
Science Journal of Kanagawa University 巻 18, p. 3-10, 発行日 2007-05-25 |
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| ISSN | ||||||
| 収録物識別子タイプ | ISSN | |||||
| 収録物識別子 | 1880-0483 | |||||
| 書誌レコードID | ||||||
| 収録物識別子タイプ | NCID | |||||
| 収録物識別子 | AA12068302 | |||||
| 著者版フラグ | ||||||
| 出版タイプ | VoR | |||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
| 出版者 | ||||||
| 出版者 | 神奈川大学 | |||||
