基于定量三维形态特征的肺部肿瘤定性研究  

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

作　　者：姜晓彤[1] 罗立民[1] 汪家旺[2] 潘晓敏[1] 罗永刚[3] 

机构地区：[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

出　　处：《应用科学学报》2004年第2期217-222,共6页Journal of Applied Sciences

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.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%.

关 键 词：肺部肿瘤 三维形态分析 径向基神经网络 影像学检查 形状分析 

分 类 号：R734.2[医药卫生—肿瘤] TP391.41[医药卫生—临床医学]