Automatic quantification of morphological features for hepatic trabeculae analysis in stained liver specimens

Masahiro Ishikawa, Yuri Murakami, Sercan Taha Ahi, Masahiro Yamaguchi, Naoki Kobayashi, Tomoharu Kiyuna, Yoshiko Yamashita, Akira Saito, Tokiya Abe, Akinori Hashiguchi, Michiie Sakamoto

研究成果: Article

6 引用 (Scopus)

抜粋

This paper proposes a digital image analysis method to support quantitative pathology by automatically segmenting the hepatocyte structure and quantifying its morphological features. To structurally analyze histopathological hepatic images, we isolate the trabeculae by extracting the sinusoids, fat droplets, and stromata. We then measure the morphological features of the extracted trabeculae, divide the image into cords, and calculate the feature values of the local cords. We propose a method of calculating the nuclear-cytoplasmic ratio, nuclear density, and number of layers using the local cords. Furthermore, we evaluate the effectiveness of the proposed method using surgical specimens. The proposed method was found to be an effective method for the quantification of the Edmondson grade.

元の言語English
記事番号027502
ジャーナルJournal of Medical Imaging
3
発行部数2
DOI
出版物ステータスPublished - 2016 4 1

    フィンガープリント

ASJC Scopus subject areas

  • Bioengineering
  • Radiology Nuclear Medicine and imaging

これを引用

Ishikawa, M., Murakami, Y., Ahi, S. T., Yamaguchi, M., Kobayashi, N., Kiyuna, T., Yamashita, Y., Saito, A., Abe, T., Hashiguchi, A., & Sakamoto, M. (2016). Automatic quantification of morphological features for hepatic trabeculae analysis in stained liver specimens. Journal of Medical Imaging, 3(2), [027502]. https://doi.org/10.1117/1.JMI.3.2.027502