A morphologic analysis of cirrhotic liver in CT images

Yen Wei Chen; Jie Luo; Xianhua Han; Tomoko Tateyama; Akira Furukawa; Shuzo Kanasaki

doi:10.1007/978-3-642-39094-4_56

A morphologic analysis of cirrhotic liver in CT images

Yen Wei Chen, Jie Luo, Xianhua Han, Tomoko Tateyama, Akira Furukawa, Shuzo Kanasaki

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

2 Citations (Scopus)

Abstract

Cirrhosis will cause significant morphological changes on both liver and spleen. In this paper, we constructed not only the liver statistical shape models (SSM), but also the spleen SSM and a joint SSM of the liver and the spleen for a morphologic analysis of the cirrhotic liver in CT images. We also proposed a mode selection method based on both its accumulation contribution rate and its correlation with doctor's opinions (labels). The classification performance for normal and abnormal livers is significantly improved by our proposed method. The classification accuracies for normal and cirrhotic livers are 88% and 90%, respectively.

Original language	English
Title of host publication	Image Analysis and Recognition - 10th International Conference, ICIAR 2013, Proceedings
Pages	494-501
Number of pages	8
DOIs	https://doi.org/10.1007/978-3-642-39094-4_56
Publication status	Published - 2013
Externally published	Yes
Event	10th International Conference on Image Analysis and Recognition, ICIAR 2013 - Povoa do Varzim, Portugal Duration: 26-06-2013 → 28-06-2013

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7950 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	10th International Conference on Image Analysis and Recognition, ICIAR 2013
Country/Territory	Portugal
City	Povoa do Varzim
Period	26-06-13 → 28-06-13

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-642-39094-4_56

Cite this

Chen, Y. W., Luo, J., Han, X., Tateyama, T., Furukawa, A., & Kanasaki, S. (2013). A morphologic analysis of cirrhotic liver in CT images. In Image Analysis and Recognition - 10th International Conference, ICIAR 2013, Proceedings (pp. 494-501). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7950 LNCS). https://doi.org/10.1007/978-3-642-39094-4_56

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title = "A morphologic analysis of cirrhotic liver in CT images",

abstract = "Cirrhosis will cause significant morphological changes on both liver and spleen. In this paper, we constructed not only the liver statistical shape models (SSM), but also the spleen SSM and a joint SSM of the liver and the spleen for a morphologic analysis of the cirrhotic liver in CT images. We also proposed a mode selection method based on both its accumulation contribution rate and its correlation with doctor's opinions (labels). The classification performance for normal and abnormal livers is significantly improved by our proposed method. The classification accuracies for normal and cirrhotic livers are 88% and 90%, respectively.",

author = "Chen, {Yen Wei} and Jie Luo and Xianhua Han and Tomoko Tateyama and Akira Furukawa and Shuzo Kanasaki",

year = "2013",

doi = "10.1007/978-3-642-39094-4_56",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "494--501",

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Chen, YW, Luo, J, Han, X, Tateyama, T, Furukawa, A & Kanasaki, S 2013, A morphologic analysis of cirrhotic liver in CT images. in Image Analysis and Recognition - 10th International Conference, ICIAR 2013, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7950 LNCS, pp. 494-501, 10th International Conference on Image Analysis and Recognition, ICIAR 2013, Povoa do Varzim, Portugal, 26-06-13. https://doi.org/10.1007/978-3-642-39094-4_56

A morphologic analysis of cirrhotic liver in CT images. / Chen, Yen Wei; Luo, Jie; Han, Xianhua et al.
Image Analysis and Recognition - 10th International Conference, ICIAR 2013, Proceedings. 2013. p. 494-501 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7950 LNCS).

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

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AU - Luo, Jie

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AU - Furukawa, Akira

AU - Kanasaki, Shuzo

PY - 2013

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N2 - Cirrhosis will cause significant morphological changes on both liver and spleen. In this paper, we constructed not only the liver statistical shape models (SSM), but also the spleen SSM and a joint SSM of the liver and the spleen for a morphologic analysis of the cirrhotic liver in CT images. We also proposed a mode selection method based on both its accumulation contribution rate and its correlation with doctor's opinions (labels). The classification performance for normal and abnormal livers is significantly improved by our proposed method. The classification accuracies for normal and cirrhotic livers are 88% and 90%, respectively.

AB - Cirrhosis will cause significant morphological changes on both liver and spleen. In this paper, we constructed not only the liver statistical shape models (SSM), but also the spleen SSM and a joint SSM of the liver and the spleen for a morphologic analysis of the cirrhotic liver in CT images. We also proposed a mode selection method based on both its accumulation contribution rate and its correlation with doctor's opinions (labels). The classification performance for normal and abnormal livers is significantly improved by our proposed method. The classification accuracies for normal and cirrhotic livers are 88% and 90%, respectively.

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Chen YW, Luo J, Han X, Tateyama T, Furukawa A, Kanasaki S. A morphologic analysis of cirrhotic liver in CT images. In Image Analysis and Recognition - 10th International Conference, ICIAR 2013, Proceedings. 2013. p. 494-501. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-39094-4_56

A morphologic analysis of cirrhotic liver in CT images

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