Computer morphometry for liver fibrosis using an automatic image analysis system

Xi Zhang Lin, Yung Nien Sun, Ming Huwi Horng, Xiao Zhen Guo

研究成果: Conference article同行評審

4 引文 斯高帕斯(Scopus)

摘要

Liver biopsy is the gold standard for evaluation of liver diseases. The severity of fibrosis is considered the stage of chronic liver disease. However, it is evaluated by subjective description or semiquantitation. We developed an automatic image analysis system, which including a microscope, computer-driven slide-driver, and a software system for image acquisition, processing and data analysis. The automatic image analysis system deals mainly with color image segmentation. The severity of liver fibrosis is reported as the percentage of the entire fibrous area to the whole liver tissue area. Thirty-one liver needle biopsy specimens are used for this study. The results from computer morphometry were compared with that from colorimetric method and Knodell's score. Pearson correlation and Spearman rank test revealed that the Knodell's score and colorimetric method are significantly correlated with the result of computer morphometry. We found that the system is a reliable tool for evaluating the severity of liver fibrosis.

原文English
頁(從 - 到)682-683
頁數2
期刊Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
2
出版狀態Published - 1996 12月 1
事件Proceedings of the 1996 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 2 (of 5) - Amsterdam, Neth
持續時間: 1996 10月 311996 11月 3

All Science Journal Classification (ASJC) codes

  • 訊號處理
  • 生物醫學工程
  • 電腦視覺和模式識別
  • 健康資訊學

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