Multi-organ segmentation by minimization of higher-order energy for CT boundary

Asuka Okagawa; Yuji Oyamada; Yoshihiko Mochizuki; Hiroshi Ishikawa

doi:10.1109/MVA.2015.7153251

Multi-organ segmentation by minimization of higher-order energy for CT boundary

Asuka Okagawa, Yuji Oyamada, Yoshihiko Mochizuki, Hiroshi Ishikawa

理工学術院総合研究所

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

In medical image analysis, segmentation of medical images such as Computed Tomography (CT) volumetric images is necessary for further medical image analysis and computer aided intervention. We propose a method for medical image segmentation by higherorder energy minimization. Specifically, we introduce a higher-order term that describes the continuity around the edge points of a CT image. The parameters of the energy terms are determined according to various conditional probabilities learned from sample data with the ground truth. Then we minimize the energy using graph cuts and evaluate the effectiveness of the introduction of the term into the traditional energy.

本文言語	English
ホスト出版物のタイトル	Proceedings of the 14th IAPR International Conference on Machine Vision Applications, MVA 2015
出版社	Institute of Electrical and Electronics Engineers Inc.
ページ	547-550
ページ数	4
ISBN（印刷版）	9784901122153
DOI	https://doi.org/10.1109/MVA.2015.7153251
出版ステータス	Published - 2015 7 8
イベント	14th IAPR International Conference on Machine Vision Applications, MVA 2015 - Tokyo, Japan 継続期間: 2015 5 18 → 2015 5 22

Other

Other	14th IAPR International Conference on Machine Vision Applications, MVA 2015
Country	Japan
City	Tokyo
Period	15/5/18 → 15/5/22

ASJC Scopus subject areas

Computer Science Applications
Computer Vision and Pattern Recognition

文献へのアクセス

10.1109/MVA.2015.7153251

他のファイルとリンク

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引用スタイル

Okagawa, A, Oyamada, Y, Mochizuki, Y & Ishikawa, H 2015, Multi-organ segmentation by minimization of higher-order energy for CT boundary. in Proceedings of the 14th IAPR International Conference on Machine Vision Applications, MVA 2015., 7153251, Institute of Electrical and Electronics Engineers Inc., pp. 547-550, 14th IAPR International Conference on Machine Vision Applications, MVA 2015, Tokyo, Japan, 15/5/18. https://doi.org/10.1109/MVA.2015.7153251

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