Name
Title | ||
|---|---|---|
Local SIMPLE multi atlas-based segmentation applied to lung lobe detection on chest CT |
Abstract | ||
|---|---|---|
For multi atlas-based segmentation approaches, a segmentation fusion scheme which considers local performance measures may be more accurate than a method which uses a global performance measure. We improve upon an existing segmentation fusion method called SIMPLE and extend it to be localized and suitable for multi-labeled segmentations. We demonstrate the algorithm performance on 23 CT scans of COPD patients using a leave-one-out experiment. Our algorithm performs significantly better (p < 0.01) than majority voting, STAPLE, and SIMPLE, with a median overlap of the fissure of 0.45, 0.48, 0.55 and 0.6 for majority voting, STAPLE, SIMPLE, and the proposed algorithm, respectively. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1117/12.911552 | Proceedings of SPIE |
Keywords | Field | DocType |
multi atlas-based segmentation,SIMPLE,local,multi-label,registration | Computer vision,Segmentation,Lobe,Atlas (anatomy),Artificial intelligence,Fusion scheme,Majority rule,Physics | Conference |
Volume | ISSN | Citations |
8314 | 0277-786X | 2 |
PageRank | References | Authors |
0.42 | 5 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| m agarwal | 1 | 2 | 0.42 |
| Emile A. Hendriks | 2 | 261 | 30.44 |
| Berend C Stoel | 3 | 199 | 11.58 |
| m e bakker | 4 | 5 | 0.81 |
| Johan H. C. Reiber | 5 | 1767 | 286.53 |
| Marius Staring | 6 | 971 | 59.25 |