Preliminary study on statistical shape model applied to diagnosis of liver cirrhosis

Shinya Kohara; Tomoko Tateyama; Amir Hossein Foruzan; Akira Furukawa; Shuzo Kanasaki; Makoto Wakamiya; Xiong Wei; Yen Wei Chen

doi:10.1109/ICIP.2011.6116271

Preliminary study on statistical shape model applied to diagnosis of liver cirrhosis

Shinya Kohara, Tomoko Tateyama, Amir Hossein Foruzan, Akira Furukawa, Shuzo Kanasaki, Makoto Wakamiya, Xiong Wei, Yen Wei Chen

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

15 Citations (Scopus)

Abstract

In computational anatomy, statistical shape model (SSM) is used for the quantitative evaluation of variations in the shapes of different organs. This paper focuses on the construction of a SSM of the liver and its application to computer-assisted diagnosis of cirrhosis. We prove the potential application of SSMs in the classification of normal and cirrhotic livers. In constructing a SSM of the liver, we first normalize volume data followed by the construction of the model using principal component analysis. The coefficients of the model are used as indicators of liver pathology. The effectiveness of the constructed model is evaluated by the classification accuracy of both normal and abnormal data.

Original language	English
Title of host publication	ICIP 2011
Subtitle of host publication	2011 18th IEEE International Conference on Image Processing
Pages	2921-2924
Number of pages	4
DOIs	https://doi.org/10.1109/ICIP.2011.6116271
Publication status	Published - 2011
Externally published	Yes
Event	2011 18th IEEE International Conference on Image Processing, ICIP 2011 - Brussels, Belgium Duration: 11-09-2011 → 14-09-2011

Publication series

Name	Proceedings - International Conference on Image Processing, ICIP
ISSN (Print)	1522-4880

Conference

Conference	2011 18th IEEE International Conference on Image Processing, ICIP 2011
Country/Territory	Belgium
City	Brussels
Period	11-09-11 → 14-09-11

All Science Journal Classification (ASJC) codes

Software
Computer Vision and Pattern Recognition
Signal Processing

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10.1109/ICIP.2011.6116271

Cite this

Kohara, S., Tateyama, T., Foruzan, A. H., Furukawa, A., Kanasaki, S., Wakamiya, M., Wei, X., & Chen, Y. W. (2011). Preliminary study on statistical shape model applied to diagnosis of liver cirrhosis. In ICIP 2011: 2011 18th IEEE International Conference on Image Processing (pp. 2921-2924). Article 6116271 (Proceedings - International Conference on Image Processing, ICIP). https://doi.org/10.1109/ICIP.2011.6116271

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title = "Preliminary study on statistical shape model applied to diagnosis of liver cirrhosis",

abstract = "In computational anatomy, statistical shape model (SSM) is used for the quantitative evaluation of variations in the shapes of different organs. This paper focuses on the construction of a SSM of the liver and its application to computer-assisted diagnosis of cirrhosis. We prove the potential application of SSMs in the classification of normal and cirrhotic livers. In constructing a SSM of the liver, we first normalize volume data followed by the construction of the model using principal component analysis. The coefficients of the model are used as indicators of liver pathology. The effectiveness of the constructed model is evaluated by the classification accuracy of both normal and abnormal data.",

author = "Shinya Kohara and Tomoko Tateyama and Foruzan, {Amir Hossein} and Akira Furukawa and Shuzo Kanasaki and Makoto Wakamiya and Xiong Wei and Chen, {Yen Wei}",

year = "2011",

doi = "10.1109/ICIP.2011.6116271",

language = "English",

isbn = "9781457713033",

series = "Proceedings - International Conference on Image Processing, ICIP",

pages = "2921--2924",

booktitle = "ICIP 2011",

note = "2011 18th IEEE International Conference on Image Processing, ICIP 2011 ; Conference date: 11-09-2011 Through 14-09-2011",

}

Kohara, S, Tateyama, T, Foruzan, AH, Furukawa, A, Kanasaki, S, Wakamiya, M, Wei, X & Chen, YW 2011, Preliminary study on statistical shape model applied to diagnosis of liver cirrhosis. in ICIP 2011: 2011 18th IEEE International Conference on Image Processing., 6116271, Proceedings - International Conference on Image Processing, ICIP, pp. 2921-2924, 2011 18th IEEE International Conference on Image Processing, ICIP 2011, Brussels, Belgium, 11-09-11. https://doi.org/10.1109/ICIP.2011.6116271

Preliminary study on statistical shape model applied to diagnosis of liver cirrhosis. / Kohara, Shinya; Tateyama, Tomoko; Foruzan, Amir Hossein et al.
ICIP 2011: 2011 18th IEEE International Conference on Image Processing. 2011. p. 2921-2924 6116271 (Proceedings - International Conference on Image Processing, ICIP).

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

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AU - Kohara, Shinya

AU - Tateyama, Tomoko

AU - Foruzan, Amir Hossein

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AU - Wakamiya, Makoto

AU - Wei, Xiong

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AB - In computational anatomy, statistical shape model (SSM) is used for the quantitative evaluation of variations in the shapes of different organs. This paper focuses on the construction of a SSM of the liver and its application to computer-assisted diagnosis of cirrhosis. We prove the potential application of SSMs in the classification of normal and cirrhotic livers. In constructing a SSM of the liver, we first normalize volume data followed by the construction of the model using principal component analysis. The coefficients of the model are used as indicators of liver pathology. The effectiveness of the constructed model is evaluated by the classification accuracy of both normal and abnormal data.

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Preliminary study on statistical shape model applied to diagnosis of liver cirrhosis

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