Color processing in pathology image analysis system for liver biopsy

Yuri Murakami, Tokiya Abe, Yoshiko Yamashita, Masahiro Yamaguchi, Masahiro Ishikawa, Akinori Hashiguchi, Kiyuna Tomoharu, Akira Saito, Michiie Sakamoto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

We have been developing a prototype system for the automatic detection of hepatocellular carcinoma (HCC) from whole slide images (WSIs) of liver biopsy based on image analysis techniques. In this paper, we present two color-related topics of this system: color correction and the calculation of color-related features of cytoplasm. A WSI-basis color correction method was implemented for the prototype system. We tested the color correction using more than 300 WISs, and it was confirmed that the color correction works well and stably. In addition, it was found that the success rate of nuclei detection significantly increaseed due to color correction. As for color-related features, we propose a method to calculate the representative color of cytoplasm and the clearness of cytoplasm. It was found that there was slight difference between the distributions of the representative colors of HCC and non-cancer tissues. In addition, there was slight correlation between the clearness of cytoplasm and nuclei density, which implies a promising role of the clearness index in a nuclei-based HCC detection.

Original languageEnglish
Title of host publicationFinal Program and Proceedings - IS and T/SID Color Imaging Conference
PublisherSociety for Imaging Science and Technology
Pages184-188
Number of pages5
Volume2014-January
EditionJanuary
Publication statusPublished - 2014
Event22nd Color and Imaging Conference: Color Science and Engineering Systems, Technologies, and Applications, CIC 2014, Collocated with the 2nd Congress of the International Academy of Digital Pathology, IADP 2014 - Boston, United States
Duration: 2014 Nov 32014 Nov 7

Other

Other22nd Color and Imaging Conference: Color Science and Engineering Systems, Technologies, and Applications, CIC 2014, Collocated with the 2nd Congress of the International Academy of Digital Pathology, IADP 2014
CountryUnited States
CityBoston
Period14/11/314/11/7

Fingerprint

Biopsy
pathology
Pathology
image analysis
liver
Liver
Image analysis
Color
color
Processing
cytoplasm
cancer
chutes
nuclei
prototypes
Tissue

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics

Cite this

Murakami, Y., Abe, T., Yamashita, Y., Yamaguchi, M., Ishikawa, M., Hashiguchi, A., ... Sakamoto, M. (2014). Color processing in pathology image analysis system for liver biopsy. In Final Program and Proceedings - IS and T/SID Color Imaging Conference (January ed., Vol. 2014-January, pp. 184-188). Society for Imaging Science and Technology.

Color processing in pathology image analysis system for liver biopsy. / Murakami, Yuri; Abe, Tokiya; Yamashita, Yoshiko; Yamaguchi, Masahiro; Ishikawa, Masahiro; Hashiguchi, Akinori; Tomoharu, Kiyuna; Saito, Akira; Sakamoto, Michiie.

Final Program and Proceedings - IS and T/SID Color Imaging Conference. Vol. 2014-January January. ed. Society for Imaging Science and Technology, 2014. p. 184-188.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Murakami, Y, Abe, T, Yamashita, Y, Yamaguchi, M, Ishikawa, M, Hashiguchi, A, Tomoharu, K, Saito, A & Sakamoto, M 2014, Color processing in pathology image analysis system for liver biopsy. in Final Program and Proceedings - IS and T/SID Color Imaging Conference. January edn, vol. 2014-January, Society for Imaging Science and Technology, pp. 184-188, 22nd Color and Imaging Conference: Color Science and Engineering Systems, Technologies, and Applications, CIC 2014, Collocated with the 2nd Congress of the International Academy of Digital Pathology, IADP 2014, Boston, United States, 14/11/3.
Murakami Y, Abe T, Yamashita Y, Yamaguchi M, Ishikawa M, Hashiguchi A et al. Color processing in pathology image analysis system for liver biopsy. In Final Program and Proceedings - IS and T/SID Color Imaging Conference. January ed. Vol. 2014-January. Society for Imaging Science and Technology. 2014. p. 184-188
Murakami, Yuri ; Abe, Tokiya ; Yamashita, Yoshiko ; Yamaguchi, Masahiro ; Ishikawa, Masahiro ; Hashiguchi, Akinori ; Tomoharu, Kiyuna ; Saito, Akira ; Sakamoto, Michiie. / Color processing in pathology image analysis system for liver biopsy. Final Program and Proceedings - IS and T/SID Color Imaging Conference. Vol. 2014-January January. ed. Society for Imaging Science and Technology, 2014. pp. 184-188
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AU - Hashiguchi, Akinori

AU - Tomoharu, Kiyuna

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N2 - We have been developing a prototype system for the automatic detection of hepatocellular carcinoma (HCC) from whole slide images (WSIs) of liver biopsy based on image analysis techniques. In this paper, we present two color-related topics of this system: color correction and the calculation of color-related features of cytoplasm. A WSI-basis color correction method was implemented for the prototype system. We tested the color correction using more than 300 WISs, and it was confirmed that the color correction works well and stably. In addition, it was found that the success rate of nuclei detection significantly increaseed due to color correction. As for color-related features, we propose a method to calculate the representative color of cytoplasm and the clearness of cytoplasm. It was found that there was slight difference between the distributions of the representative colors of HCC and non-cancer tissues. In addition, there was slight correlation between the clearness of cytoplasm and nuclei density, which implies a promising role of the clearness index in a nuclei-based HCC detection.

AB - We have been developing a prototype system for the automatic detection of hepatocellular carcinoma (HCC) from whole slide images (WSIs) of liver biopsy based on image analysis techniques. In this paper, we present two color-related topics of this system: color correction and the calculation of color-related features of cytoplasm. A WSI-basis color correction method was implemented for the prototype system. We tested the color correction using more than 300 WISs, and it was confirmed that the color correction works well and stably. In addition, it was found that the success rate of nuclei detection significantly increaseed due to color correction. As for color-related features, we propose a method to calculate the representative color of cytoplasm and the clearness of cytoplasm. It was found that there was slight difference between the distributions of the representative colors of HCC and non-cancer tissues. In addition, there was slight correlation between the clearness of cytoplasm and nuclei density, which implies a promising role of the clearness index in a nuclei-based HCC detection.

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