Study of pattern understanding of medical X-ray images

医学X射线图像的模式理解研究

• 批准号: 02452159
• 负责人: TORIWAKI Jun-ichiro
• 金额: $ 4.1万
• 依托单位: Nagoya University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for General Scientific Research (B)
• 财政年份: 1990
• 资助国家: 日本
• 起止时间: 1990 至 1991
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-02452159/
• 关键词: chest X-ray image; stomach X-ray image; computer aided diagnosis; three dimensional X-ray image; CT image; three dimensional image processing; 画像理解; 計算機診断; CT像; 画像認識; がん診断

In this project we studied basic mthodology of realizing computer aided diagnosis of X-ray images (CADX) in a highly intelligent level with applying image understanding techniques. We put emphasis on the following points :(1) CADX for screening, of Iring by 100mm Photofluorograns : We aim here that we develop the high level of mass screening system for detecting lung cancer in its early stage by improving the currently used screening system.(2) lntroduction of three dimensional (3D) images by using CT images : This is for developing quite new system of lung cancer detection which can find very early stages of cancer that can not be detected by any existing survey system. We eipect that this may be realized by using 3D lung images obtained by the recent helical scan X-ray CT equipment. Besides the above images we consider also the CADX of double contrast stomach X-ray images for diagnosing stomach cancer.Research results are classified into three categories : survey, basics of image pro … More cessing algorithms, and experiment of CADX using real X-ray images.(a) Survey : We performed the survey of recent trends and state of the arts in image understanding technology, 3D image analysis, computer graphics. and historical review and present state of CADX.(b) lmage processing algorithm : Fol-loving algorithms were developed and studied both theoretically and experimentally.・3D distance transformation and figure decomposition・region growing using both edge and region information・filter for detecting mass pattern・applications of neural net to image compression and feature extraction・display of 3D gray tone images(c) Applications to X-ray images : Basic experiments were performed concerning the following CADX.・detection of stomach cancer from double contrast stomach X-ray images・detection of lung cancer and diagnosis of pneumoconiosis. from chest X-ray images・diagnosis of lung cancer and pneumoconiosis from 3D chest CT images・extraction of heart and measurement of its functions from 3D chest MRI images Less

本课题研究了应用图像理解技术在高智能水平上实现x射线图像计算机辅助诊断（CADX）的基本方法。我们的重点是以下几点：(1)利用100mm荧光光度计对Iring进行CADX筛查：我们的目标是通过改进现有的筛查系统，开发出早期发现肺癌的高水平大规模筛查系统。(2)利用CT图像引入三维（3D）图像：这是为了开发一种全新的肺癌检测系统，可以发现任何现有调查系统都无法发现的非常早期的癌症。我们认为这可以通过使用最近的螺旋扫描x射线CT设备获得的三维肺图像来实现。除上述图像外，我们还考虑双重对比胃x线图像的CADX对胃癌的诊断。研究成果分为三类：综述、图像处理基础、更多的处理算法和使用真实x射线图像的CADX实验。(a)调查：我们就图像理解技术、三维图像分析、计算机图形学的最新趋势和发展状况进行了调查。CADX的历史回顾和现状。(b)图像处理算法：对folo -loving算法进行了理论和实验研究。·三维距离变换和图形分解·使用边缘和区域信息进行区域生长·用于检测质量模式的滤波器·神经网络在图像压缩和特征提取中的应用·三维灰调图像的显示(c)在x射线图像中的应用：对以下CADX进行了基本实验。·从胃x线双对比影像中检测胃癌·肺癌的检测和尘肺病的诊断。从胸部x线图像中提取·从3D胸部CT图像中诊断肺癌和尘肺·从3D胸部MRI图像中提取心脏并测量其功能

项目成果

M. Okada, S. Yokoi and J. Toriwaki: " "Decomposition based on distance features"" Proc. Pacific Rim International Conf. on Artificial Intelligence '90. 540-545 (1990)

M. Okada、S. Yokoi 和 J. Toriwaki：““基于距离特征的分解””Proc。

鳥脇 純一郎: "二重造影像による胃癌診断" Medical Imaging Technology. (1991)

Junichiro Toriwaki：“使用双对比图像诊断胃癌”医学成像技术（1991）。

H. Jiang, H. Suzuki and J. Toriwaki: " "A 3D segmentation method to extract soft tissue of MRI head images by integrating region-based and edge-based procedures"" Medical & Biological Engineering & Computing. 29, Supplement. 218 (1991)

H. Jiang、H. Suzuki 和 J. Toriwaki：“一种通过集成基于区域和基于边缘的程序来提取 MRI 头部图像软组织的 3D 分割方法”医疗

陳 旋: "じん肺X線CT像における粒状影の自動抽出と定量計測" Medical Imaging Technology. 8,. 107-114 (1990)

陈旋：“尘肺X射线CT图像中颗粒阴影的自动提取和定量测量”医学影像技术107-114（1990）。

鳥脇 純一郎: "医用X線像の計算機診断" 画像ラボ. 1,9,. 49-55 (1990)

Junichiro Toriwaki：“医学 X 射线图像的计算机诊断”Image Lab 1,9，。