Research on 3-D analysis of histopathologic specimen for histopathologic diagnosis support

组织病理学标本3D分析支持组织病理学诊断的研究

基本信息

批准号：
16500302
负责人：
TAKAHASHI Masanobu
金额：
$ 2.37万
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：
2004
资助国家：
日本
起止时间：
2004 至 2006
项目状态：
已结题

项目摘要

The purpose of this research were to analyze a histopathologic specimen as a 3-D object, and to develop a histopathologic diagnosis support system which calculate useful information such as 3-D nuclear density independent of the specimen's thickness.Effect of specimen's thickness on the observed (2-D) nuclear density was evaluated theoretically and experimentally, and it was revealed that 1 um of thickness change results in about 10% of change in nuclear density.A method to non-destructively measure the thickness of a histopathologic specimen was realized. The method uses the images captured using an optical microscope so that many pathologists can utilize it.Histopathologic images observed using an optical microscope usually have undesirable blur. A method to reduce blur in the 3-D image was realized. The method uses improved blind deconvolution, and satisfactory results were obtained to construct 3-D models of nuclei.A method to estimate nuclear parameters (3-D nuclear density, average and variance of nuclear radii) was realized. The method utilized only a 2-D microscopic image which pathologists are usually observing so that they can easily use the method. Sequential estimation method in which each parameter is estimated sequentially was also developed to reduce the computation time.Finally, a GUI was developed that enables a user to use the developed method easily. The GUI has functions to semi-automatically extract the nuclear positions and nuclear contours, and to estimate nuclear parameters. Nuclear positions and nuclear contours can easily be corrected using simple mouse operations, so pathologists can easily estimate 3-D nuclear density which is independent of the specimen's thickness.

这项研究的目的是将组织病理学标本分析为3-D对象，并开发组织病理学诊断支持系统，该系统计算出有用的信息，例如3-D核密度，独立于样品的厚度，对样品的厚度效应。对观察到的（2-D）核密度的厚度（2-D）核密度在理论上和实验性变化中的变化（2-D）的核密度变化。实现了非破坏性测量组织病理标本的厚度。该方法使用使用光学显微镜捕获的图像，以便许多病理学家可以利用它。使用光学显微镜观察到的组织病理图像通常具有不良模糊。实现了一种减少3D图像中模糊的方法。该方法使用改进的盲卷积，并获得了令人满意的结果，以构建核的3-D模型。A估计核参数的方法（3-D核密度，核半径的平均值和方差）。该方法仅利用了二维显微镜图像通常观察的病理学家，以便他们可以轻松使用该方法。顺序估计方法，其中还开发了每个参数以减少计算时间的估计。在本文中，开发了一个GUI，使用户可以轻松地使用开发方法。 GUI具有半自动地提取核位置和核轮廓的功能，并估计核参数。可以使用简单的小鼠操作轻松校正核位置和核轮廓，因此病理学家可以轻松估计与标本厚度无关的3-D核密度。

项目成果

期刊论文数量（41）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Estimation of 3-D nuclear density of hepatic histopathological specimen-Improvement of accuracy-

肝脏组织病理学标本的 3-D 核密度估计-准确性的提高-

DOI：
发表时间：
2005
期刊：
Forum on Information Technology 2005 (FIT2005)
影响因子：
0
作者：
Takashi Yoshimi;Masanobu Takahashi;Masayuki Nakano
通讯作者：
Masayuki Nakano

Estimation of 3-D nuclear density from a 2-D image of hepatic histopathological specimen

从肝脏组织病理学标本的 2-D 图像估计 3-D 核密度

DOI：
发表时间：
2005
期刊：
Proceedings of the 3^<rd> European Medical ＆ Biological Engineering Conference (EMBEC2005)
影响因子：
0
作者：
Takashi Yoshimi;Masanobu Takahashi;Masayuki Nakano
通讯作者：
Masayuki Nakano

Quantification of reticulin fibers in hepatic histopathological specimen

肝组织病理学标本中网状纤维的定量