Recently, multi-slice helical CT technology was developed. Unlike the conventional helical CT, we can obtain CT
images of two or more slices with 1 time scan. Therefore, we can get many pictures with a clear contrast images and thin
slice images in one time of scanning. The purpose of this presentation is to evaluate the proposed automatic extraction
bronchus and pulmonary vein and artery on multi-slice CT images. The bronchus is extracted by application with region
growing technique and the morphological filters, 3D distance transformation. These results indicate that the proposed
algorithm provides the ability to accurately develop an automatic extraction algorithm of the bronchus on multi-slice CT
images. In this report, we used pulmonary vein and artery marked by the doctor, It aims to discover an amount of the
feature necessary for classifying the pulmonary vein and artery by using the anatomical feature. The classification of the
pulmonary vein and artery is thought necessary information that it is state of tuber benign or malignity judgment. It is
very important to separate the contact part of the lung blood vessel in classifying pulmonary vein and artery. Then, it
aims to discover the feature of the contact part of the lung blood vessel in this report.
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