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Computer Aided System and method for Breast Mass Detection and Analysis in Microwave Tomography

机译:微波层析成像中乳房质量检测和分析的计算机辅助系统和方法

摘要

PURPOSE: A subsidiary diagnosis system for breast mass analysis in an electromagnetic breast image and a method thereof are provided to enable objective analysis and interpretation of breast mass by generating a standard map using the electromagnetic breast phantom image and the analyzing and visualizing the size and information of the mass. CONSTITUTION: A subsidiary diagnosis system includes a standard map generation module(110), a preprocessing module(120), a mass dividing module(130), a matching module(140) and a feature extraction module(150). The standard map generation module generates a standard map. The standard map is divided into four quadrants on the basis of a breast phantom image, and each quadrant is divided into 9 sections according to the angle and the distance from a center. The preprocessing module performs preprocessing of removing noise in the breast phantom image. The mass dividing module generates a mass image by dividing a mass region by comparing the feature values for an adjacent pixels of a seed pixel predetermined in the breast phantom image. The matching module matches the mass image and the standard map. The feature extraction module calculates the position and the size of the mass, and a ratio of the mass occupied in each section of the standard map image on the basis of the mass image. [Reference numerals] (110) Standard map generation module; (120) Preprocessing module; (130) Mass dividing module; (140) Matching module; (150) Feature extraction module
机译:目的:提供一种用于电磁乳腺图像中的乳腺质量分析的辅助诊断系统及其方法,以通过使用电磁乳腺体模图像生成标准图并分析和可视化大小和信息来进行乳腺肿块的客观分析和解释的质量。构成:辅助诊断系统包括标准地图生成模块(110),预处理模块(120),质量划分模块(130),匹配模块(140)和特征提取模块(150)。标准地图生成模块生成标准地图。基于乳房体模图像,标准图被划分为四个象限,并且根据角度和距中心的距离将每个象限划分为9个部分。预处理模块执行去除乳房幻像图像中的噪声的预处​​理。质量划分模块通过比较乳房幻像图像中预定的种子像素的相邻像素的特征值来划分质量区域,从而生成质量图像。匹配模块匹配质量图像和标准图。特征提取模块基于质量图像计算质量的位置和大小以及在标准地图图像的每个部分中占据的质量的比率。 [附图标记](110)标准地图生成模块; (120)预处理模块; (130)质量分配模块; (140)匹配模块; (150)特征提取模块

著录项

  • 公开/公告号KR101307162B1

    专利类型

  • 公开/公告日2013-09-11

    原文格式PDF

  • 申请/专利权人

    申请/专利号KR20110113782

  • 申请日2011-11-03

  • 分类号A61B5;A61B5/06;

  • 国家 KR

  • 入库时间 2022-08-21 16:24:29

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