Name
Abstract | ||
|---|---|---|
Recently, multi-slice helical CT technology was developed. Unlike the conventional helical CT, we can obtain CT images of two or more slices with I 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. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1117/12.709857 | Proceedings of SPIE |
Keywords | Field | DocType |
the multi-slice CT images,pulmonary vein and artery,anatomical feature | Artery,Anatomical feature,Lung,Bronchus,Extraction algorithm,Algorithm,Region growing,Radiology,Medicine,Blood vessel,Pulmonary vein | Conference |
Volume | ISSN | Citations |
6514 | 0277-786X | 5 |
PageRank | References | Authors |
0.50 | 0 | 10 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| taihei yonekura | 1 | 5 | 0.50 |
| mikio matsuhiro | 2 | 5 | 0.50 |
| Shinsuke Saita | 3 | 22 | 3.92 |
| Mitsuru Kubo | 4 | 89 | 22.51 |
| Yoshiki Kawata | 5 | 192 | 54.44 |
| Noboru Niki | 6 | 188 | 66.10 |
| Hiromu Nishitani | 7 | 26 | 8.78 |
| Hironobu Ohmatsu | 8 | 138 | 45.23 |
| Ryutaro Kakinuma | 9 | 97 | 24.90 |
| Noriyuki Moriyama | 10 | 148 | 50.47 |