Analytical Cellular Pathology

Analytical Cellular Pathology / 2014 / Article
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Meeting Abstracts of The 2nd International Congress of the International Academy of Digital Pathology

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Meeting Abstract | Open Access

Volume 2014 |Article ID 505968 | https://doi.org/10.1155/2014/505968

Tokiya Abe, Yuri Murakami, Masahiro Yamguchi, Yoshiko Yamashita, Tomoharu Kiyuna, Ken Yamazaki, Akinori Hashiguchi, Yutaka Yasui, Masayuki Kurosaki, Namiki Izumi, Michiie Sakamoto, "Whole Slide Image Analysis System for Quantification of Liver Fibrosis", Analytical Cellular Pathology, vol. 2014, Article ID 505968, 2 pages, 2014. https://doi.org/10.1155/2014/505968

Whole Slide Image Analysis System for Quantification of Liver Fibrosis

Received02 Sep 2014
Accepted02 Sep 2014
Published15 Dec 2014

Background and Aims

Histological evaluation of fibrosis after a liver biopsy is crucial for evaluating the pathology of patients with chronic liver disease. We have reported image analysis allowing quantification of liver fibrosis using Elastica van Gieson (EVG) stained whole slide images (WSIs) of liver biopsy specimens [1]. In this paper, a whole slide image analysis system for quantification of liver fibrosis was developed to apply a large number of cases in routine practice.

Method

Our system was composed of 2 steps: color correction and tissue classification. Firstly, the color correction was performed by transforming the color distribution from a target WSI into a reference WSI, where the distribution was estimated by two triangle pyramids. Next, the tissue classification was performed by using quadratic discriminant function generated from RGB signal data sets in reference WSIs. After 2 steps, the WSI pixels were classified into five classes corresponding to four tissue areas: collagen fibers, elastic fibers, nucleus, and cytoplasm and one nontissue area (i.e., glass slide). Finally, the area ratios of collagen and elastic fibers were automatically quantified.

Results

WSIs of liver biopsy specimens collected from 102 patients with hepatitis C were analyzed by our system [2]. The system successfully corrected the color of any WSI to that of the reference WSI and precisely extracted fine collagen and elastic fibers from portal and periportal areas (Figure 1). The averaged calculation time for WSIs with hundred-millions of pixels solution was about four minutes.

Conclusions

The whole slide image analysis system could provide quantification of liver fibrosis in biopsy specimens with different color distributions, which can display continuous value, and represent a progression of liver disease.

Acknowledgment

This study was supported by grants from the New Energy and Industrial Technology Development Organization (Project no. P10003).

References

  1. Y. Murakami, T. Abe, A. Hashiguchi et al., “Color correction for automatic fibrosis quantification in liver biopsy specimens,” Journal of Pathology Informatics, vol. 4, p. 36, 2013. View at: Publisher Site | Google Scholar
  2. Y. Yasui, T. Abe, H. Takada et al., “Elastic fiber accumulation as a significant factor in predicting the development of hepatocellular carcinoma,” in Proceedings of the International Liver Congress 49th Annual Meeting of the European Association for the Study of the Liver (EASL '14), London, UK, April 2014. View at: Google Scholar

Copyright © 2014 Tokiya Abe et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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