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Research on the analysis of histopathologic images (Development of hisopathologic diagnosis support system for hepatocellular carcinoma)

组织病理图像分析研究（肝细胞癌组织病理诊断支持系统开发）

基本信息

批准号：
14580832
负责人：
TAKAHASHI Masanobu
金额：
$ 1.86万
依托单位：
Shibaura Institute of Technology
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
2002
资助国家：
日本
起止时间：
2002 至 2003
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-14580832/
关键词：
Tissue Nucleus Contour Extraction Image processing Liver Histopathologic diagnosis Diagnosis support Snakes

项目摘要

The purpose of this research was to develop a histopathologic diagnosis support system forhepatocellular carcinoma. We developed a support system especially for differential diagnosis between non-cancer and extremely well-differentiated hepatocellular carcinoma (ewHCC)First, a following three-step method to extract the positions of hepatocellular nuclei were developed. (i) Candidates extraction step: the candidates of nuclear positions are extracted. (ii)Contours extraction step: a novel contour extraction method, which we call "Radial Snakes" has been developed and used. (iii)Screening step: most of wrongly extracted positions are removed based on the energy values. Using this method, 84.8% of the nuclear positions were correctly extracted with 12.2% of the positions wrongly extracted. As a result, the time required to correct the wrong positions using a graphical user interface (GUI) was drastically reduced.Nuclear density and ratio of high nuclear density area are proposed as the two features calculated using the extracted positions. The average of the sensitivity and specificity was over 90% for both features, showing the effectiveness of these features for differential diagnosis between normal and ewHCC.A GUI was developed that enables a user to extract the nuclear positions, to correct the positions, and to calculate the proposed features by simple button operations. The total time for processing one image and extracting the features was about 2 minutes. This system would be helpful in actual diagnosis. We are going to improve the system so that it can be used in more medical organizations.

本研究的目的是开发肝细胞癌的组织病理学诊断支持系统。我们开发了一个专门用于非癌症和高分化肝细胞癌（ewHCC）鉴别诊断的支持系统。首先，开发了以下三步提取肝细胞核位置的方法。 (i)候选提取步骤：提取核位置的候选。 (ii)轮廓提取步骤：开发并使用了一种新颖的轮廓提取方法，我们称之为“径向蛇”。 (iii)筛选步骤：根据能量值去除大部分错误提取的位置。使用该方法，正确提取了 84.8% 的核位置，错误提取了 12.2% 的核位置。结果，使用图形用户界面（GUI）纠正错误位置所需的时间大大减少。提出核密度和高核密度区域的比率作为使用提取的位置计算的两个特征。两个特征的平均敏感性和特异性均超过 90%，显示了这些特征对于正常和 ewHCC 之间鉴别诊断的有效性。开发了 GUI，使用户能够通过简单的按钮操作提取核位置、校正位置并计算建议的特征。处理一张图像和提取特征的总时间约为 2 分钟。该系统将有助于实际诊断。我们将完善这个系统，以便它能够在更多的医疗机构中使用。