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

School of Fundamental Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

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.

Original language	English
Title of host publication	Proceedings of the 14th IAPR International Conference on Machine Vision Applications, MVA 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	547-550
Number of pages	4
ISBN (Electronic)	9784901122153
DOIs	https://doi.org/10.1109/MVA.2015.7153251
Publication status	Published - 2015 Jul 8
Event	14th IAPR International Conference on Machine Vision Applications, MVA 2015 - Tokyo, Japan Duration: 2015 May 18 → 2015 May 22

Publication series

Name	Proceedings of the 14th IAPR International Conference on Machine Vision Applications, MVA 2015

Other

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

ASJC Scopus subject areas

Computer Science Applications
Computer Vision and Pattern Recognition

Access to Document

10.1109/MVA.2015.7153251

Cite this

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 (pp. 547-550). [7153251] (Proceedings of the 14th IAPR International Conference on Machine Vision Applications, MVA 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MVA.2015.7153251

Multi-organ segmentation by minimization of higher-order energy for CT boundary. / Okagawa, Asuka; Oyamada, Yuji; Mochizuki, Yoshihiko et al.

Proceedings of the 14th IAPR International Conference on Machine Vision Applications, MVA 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 547-550 7153251 (Proceedings of the 14th IAPR International Conference on Machine Vision Applications, MVA 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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, Proceedings of the 14th IAPR International Conference on Machine Vision Applications, MVA 2015, 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

Okagawa A, Oyamada Y, Mochizuki Y, Ishikawa H. 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. Institute of Electrical and Electronics Engineers Inc. 2015. p. 547-550. 7153251. (Proceedings of the 14th IAPR International Conference on Machine Vision Applications, MVA 2015). doi: 10.1109/MVA.2015.7153251

Okagawa, Asuka ; Oyamada, Yuji ; Mochizuki, Yoshihiko et al. / Multi-organ segmentation by minimization of higher-order energy for CT boundary. Proceedings of the 14th IAPR International Conference on Machine Vision Applications, MVA 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 547-550 (Proceedings of the 14th IAPR International Conference on Machine Vision Applications, MVA 2015).

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AB - 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.

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

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