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- Yanagida Yosuke
- Graduate School of Engineering, University of Hyogo
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- Kobashi Syoji
- Graduate School of Engineering, University of Hyogo
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- Nakano Tomoharu
- Graduate School of Medicine and Dentistry, Okayama University
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- Kondo Katsuya
- Graduate School of Engineering, University of Hyogo
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- Hata Yutaka
- Graduate School of Engineering, University of Hyogo
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- Date Hiroshi
- Graduate School of Medicine and Dentistry, Okayama University
Bibliographic Information
- Other Title
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- 弾性モデルのファジィ制御によるMDCT画像からの肺葉分割
- ダンセイ モデル ノ ファジィ セイギョ ニ ヨル MDCT ガゾウ カラ ノ ハイヨウ ブンカツ
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Abstract
Human lung is divided into five distinct anatomic compartments called lobes. Segmenting lung lobes from Multidetector-row computed tomography (MDCT) images can provide useful information for surgical operation and diagnosis of pathology. We have proposed a method for segmenting lungs lobes from MDCT images. The method estimates boundary surface between the lung lobes based on lobar fissure and tubular tissues (blood vessels and bronchi). The method can find the boundary surfaces within the error of 1.5 mm. Almost of errors are caused by fixing nodes outside the lung. This paper proposes a new moving method of nodes in order to improve the lung lobe segmentation algorithm.
Journal
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- Proceedings of the Fuzzy System Symposium
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Proceedings of the Fuzzy System Symposium 21 (0), 137-137, 2005
Japan Society for Fuzzy Theory and Intelligent Informatics
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Details 詳細情報について
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- CRID
- 1390001205668704512
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- NII Article ID
- 130005034937
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- NII Book ID
- AA12165648
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- ISSN
- 18820212
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- NDL BIB ID
- 024278948
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- Data Source
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- JaLC
- NDL
- CiNii Articles
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- Abstract License Flag
- Disallowed