Pulmonary organs analysis for differential diagnosis based on thoracic thin-section CT images

被引:50
作者
Tozaki, T
Kawata, Y
Niki, N
Ohmatsu, H
Kakinuma, R
Eguchi, K
Kaneko, M
Moriyama, N
机构
[1] Univ Tokushima, Dept Opt Sci, Tokushima 7708506, Japan
[2] Natl Canc Ctr Hosp E, Chiba 2770882, Japan
[3] Natl Shikoku Canc Ctr Hosp, Matsuyama, Ehime 7900007, Japan
[4] Natl Canc Ctr Hosp, Chuoh Ku, Tokyo 1040045, Japan
关键词
D O I
10.1109/23.737667
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The pulmonary organs have a very complicated structure which consists of the bronchus, the pulmonary artery, and the pulmonary vein. So it is difficult for a medical doctor to understand the spatial relationships among a tumor and the pulmonary organs. Here, we present a 3D image analysis method of the pulmonary organs based on thin-section CT images. First, we extract the regions of interest using Gaussian curvature and mean curvature of lung field, then we classify the bronchus and the blood vessels, and we conclude with the identification of the pulmonary artery and the pulmonary vein. We use this method to support a differential diagnosis of lung cancer by making quantitative analysis of abnormal nodules.
引用
收藏
页码:3075 / 3082
页数:8
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