北京生物医学工程2013，Vol.32Issue(1)：12-16,5.DOI:10.3969/j.issn.1002-3208.2013.01.03.
基于CT三维图像的肺结节良恶性鉴别研究
Identification of benign and malignant pulmonarynodule based on 3D CT image
摘要
Abstract
Objective Identification of benign and malignant pulmonary nodules by using the computer-aided detection and diagnosis system is one hot spot. Methods An identification method for benign and malignant pulmonary nodule based on the 3D information of lung CT image was proposed. First we segmented the pulmonary nodules from CT images with the methods of segmentation, regional growth, morphology, then extracted and optimized the 3D information of each pulmonary nodule. Finally we utilized the SVM classification algorithm to divide those pulmonary nodules into two categories based on the effective features. Results The classification results were assessed by sensitivity, specificity, accuracy, and likelihood ratio. From the experiment we got the results as follows, the sensitivity was 0. 7776, the accuracy was 0. 7378 , the positive likelihood ratio was 2. 2410 and the negative likelihood ratio was 0. 3682. Conclusions All the results showed that the new method achieved satisfactory identification effect and was significant for the computer-aided diagnosis of lung cancer.关键词
肺部/CT图像/三维重建/良恶性结节/支持向量机Key words
lung/ CT image/ three-dimensional reconstruction/ benign and malignant nodule/ support vector machine分类
医药卫生引用本文复制引用
常莎,王瑞平..基于CT三维图像的肺结节良恶性鉴别研究[J].北京生物医学工程,2013,32(1):12-16,5.基金项目
北京交通大学基本科研业务费专项基金(2011JBM021)资助 （2011JBM021）
