Name
Abstract | ||
|---|---|---|
With the development of multi-slice CT technology, obtaining accurate 3D images of lung field in a short time become possible. To support that, a lot of image processing methods need to be developed. Detection peripleural lung disease is difficult due to its existence out of lung region, because lung extraction is often performed based on threshold processing. The proposed method uses thoracic inner region extracted by inner cavity of bone as well as air region, covers peripleural lung diseased cases such as lung nodule, calcification, pleural effusion and pleural plaque. We applied this method to 50 cases including 39 peripleural lung diseased cases. This method was able to detect 39 peripleural lung disease with 2.9 false positive per case. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1117/12.2081718 | Proceedings of SPIE |
Keywords | Field | DocType |
multi-slice CT,detection,peripleural lung disease | Calcification,Computer vision,Lung,Pleural effusion,Pulmonary disorders,Lung disease,Image processing,Pleural plaque,Artificial intelligence,Radiology,Lung field,Physics | Conference |
Volume | ISSN | Citations |
9414 | 0277-786X | 0 |
PageRank | References | Authors |
0.34 | 4 | 10 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| mikio matsuhiro | 1 | 5 | 4.05 |
| hajime suzuki | 2 | 2 | 2.39 |
| Yoshiki Kawata | 3 | 192 | 54.44 |
| Noboru Niki | 4 | 188 | 66.10 |
| yuta nakano | 5 | 0 | 0.68 |
| Hironobu Ohmatsu | 6 | 138 | 45.23 |
| masahiko kusumoto | 7 | 46 | 16.28 |
| takaaki tsuchida | 8 | 0 | 4.39 |
| Kenji Eguchi | 9 | 129 | 42.78 |
| Masahiro Kaneko | 10 | 55 | 19.24 |