应用科学学报 ›› 2004, Vol. 22 ›› Issue (2): 217-222.

• 论文 • 上一篇    下一篇

基于定量三维形态特征的肺部肿瘤定性研究

姜晓彤1, 罗立民1, 汪家旺2, 潘晓敏1, 罗永刚3   

  1. 1 东南大学生物医学系影像实验室 江苏南京 210096;
    2 南京医科大学一附院放射科 江苏南京 210029;
    3 江苏大学计算机学院 江苏镇江 212001
  • 收稿日期:2002-12-24 修回日期:2003-05-14 出版日期:2004-06-30 发布日期:2004-06-30
  • 作者简介:姜晓彤(1975-),男,江苏扬州人,硕士生;罗立民(1956-),男,江西九江人,教授,博导.

A Qualitative Research of Lung Tumor Based on Quantitative Three-Dimensional Shape Analysis

JIANG Xiao-tong1, LUO Li-min1, WANG Jia-wang2, PAN Xiao-min1, LUO Yong-gang3   

  1. 1. Lab of Image Science and Technology, Southeast University, Nanjing 210096, China;
    2. The First Affiliated Hospital, Nanjing Medical University, Nanjing 210029, China;
    3. Department of Computer, Jiangshu University, Zhenjiang 212001, China
  • Received:2002-12-24 Revised:2003-05-14 Online:2004-06-30 Published:2004-06-30

摘要: 通过对肿瘤的三维形态进行定量分析来判别肿瘤的性质.依据CT数据图像的特点以及医生临床诊断经验,从不同的角度定义了3个与肿瘤性质相关联的二维形状描述子;在此基础之上,构造了4个表征肿瘤三维形态的特征量,借助径向基神经网络实现肿瘤的自动分类.实验结果表明选择的特征量较好地体现了肿瘤的性质,良性肿瘤的识别率达到87.5%,恶性肿瘤的识别率为69.44%,具有良好的临床应用前景.

关键词: 三维形态分析, 径向基神经网络, 肺部肿瘤识别

Abstract: The computer-aided diagnosis system of lung tumor has great clinical significance for alleviating doctor's pressure and reducing misdiagnosis rate. In this paper, a new method of lung tumor identification based on quantitative three-dimensional shape analysis is proposed. According to the character of CT data and doctor's clinical experience, we defined three two-dimensional shape descriptors correlating with tumor type from different points of view; on this basis, four three-dimensional shape descriptors were defined as input value of radial basis function neural net to realize the automatic classification of lung tumor. The experiment result demonstrates that these shape descriptors can well represent the tumor character:The identification rate is to benign tumor 87.5% and that to malignant tumor is 69.44%.

Key words: three-dimensional shape analysis, radial basis function neural net, lung tumor identification

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