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一种基于二值形态学原理的肺部轮廓提取算法
引用本文:李露,马艺馨,吴华伟. 一种基于二值形态学原理的肺部轮廓提取算法[J]. 中国医疗器械杂志, 2010, 34(6): 413-417. DOI: 10.3969/j.isnn.1671-7104.2010.06.007
作者姓名:李露  马艺馨  吴华伟
作者单位:[1]上海交通大学电子信息与电气工程学院仪器科学与工程系,上海200240 [2]上海交通大学医学院附属仁济医院放射科,上海200127
基金项目:上海市浦江人才计划,上海交通大学医工(理)交叉基金
摘    要:结合二值形态学原理,对人体胸腔横截面的CT图像通过标记、搜索连通域等处理,提取胸腔的轮廓和肺及食管的轮廓。将处理图像复原与原图像进行对比表明,本文所采用的方法能准确地提取人体胸腔和肺及食管的轮廓,误差小于人眼的辨别能力。

关 键 词:医学图像处理  边缘检测  二值形态学  对象标记

Lung Boundary Detection Method Based on Binary Morphology Theory
Li Lu,Ma Yixin,Wu Huawei. Lung Boundary Detection Method Based on Binary Morphology Theory[J]. Chinese journal of medical instrumentation, 2010, 34(6): 413-417. DOI: 10.3969/j.isnn.1671-7104.2010.06.007
Authors:Li Lu  Ma Yixin  Wu Huawei
Affiliation:1 Department of Instrument Science and Engineering,School of Electronics,Information and Electrical Engineering,Shanghai Jiao Tong University,Shanghai 200240;2 Department of Radiology,Renji Hospital,School of Medicine,Shanghai Jiao Tong University,Shanghai 200240)
Abstract:A method is presented in this paper which processes the human chest CT image with binary morphology theory,then marks and searches each connected domain to find chest contour and boundaries of lung and esophagus.Comparing with original CT image,the extracted boundaries have sufficient accuracy and human eyes cannot distinguish the error.
Keywords:medical image processing  edge detection  binary morphology  object tag
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