Name
Abstract | ||
|---|---|---|
Recently, due to aging and smoking, emphysema patients are increasing. The restoration of alveolus which was destroyed by emphysema is not possible, thus early detection of emphysema is desired. We describe a quantitative algorithm for extracting emphysematous lesions and quantitatively evaluate their distribution patterns using low dose thoracic 3-D CT images. The algorithm identified lung anatomies, and extracted low attenuation area (LAA) as emphysematous lesion candidates. Applying the algorithm to thoracic 3-D CT images and then by follow-up 3-D CT images, we demonstrate its potential effectiveness to assist radiologists and physicians to quantitatively evaluate the emphysematous lesions distribution and their evolution in time interval changes. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1117/12.709254 | Proceedings of SPIE |
Keywords | Field | DocType |
LAA,low dose,thoracic 3-D CT images,emphysematous | Early detection,Lung,Lesion,Pulmonary disorders,Algorithm,Radiology,Medicine | Conference |
Volume | ISSN | Citations |
6514 | 0277-786X | 0 |
PageRank | References | Authors |
0.34 | 0 | 9 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shinsuke Saita | 1 | 22 | 3.92 |
| Mitsuru Kubo | 2 | 89 | 22.51 |
| Yoshiki Kawata | 3 | 192 | 54.44 |
| Noboru Niki | 4 | 188 | 66.10 |
| yasutaka nakano | 5 | 0 | 0.34 |
| Hironobu Ohmatsu | 6 | 138 | 45.23 |
| keigo tominaga | 7 | 0 | 0.34 |
| Kenji Eguchi | 8 | 129 | 42.78 |
| Noriyuki Moriyama | 9 | 148 | 50.47 |