Name
Abstract | ||
|---|---|---|
An automated segmentation of lung lobes in thoracic CT images is of interest for various diagnostic purposes like the quantification of emphysema or the localization of tumors within the lung. Although the separating lung fissures are visible in modem multi-slice CT-scanners, their contrast in the CT-image often does not separate the lobes completely. This makes it impossible to build a reliable segmentation algorithm without additional information. Our approach uses general anatomical knowledge represented in a geometrical mesh model to construct a robust lobe segmentation, which even gives reasonable estimates of lobe volumes if fissures are not visible at all. The paper describes the generation of the lung model mesh including lobes by an average volume model, its adaptation to individual patient data using a special fissure feature image, and a performance evaluation over a test data set showing an average segmentation accuracy of 1 to 3 nun. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1117/12.770099 | PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE) |
Keywords | Field | DocType |
lung segmentation,lung lobes,geometric modeling,surface meshes | Computer vision,Polygon mesh,Mesh model,Lung,Segmentation,Geometric modeling,Lobe,Artificial intelligence,Test data,Lung segmentation,Geography | Conference |
Volume | ISSN | Citations |
6914 | 0277-786X | 5 |
PageRank | References | Authors |
0.81 | 3 | 9 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thomas Blaffert | 1 | 87 | 11.67 |
| H Barschdorf | 2 | 49 | 7.69 |
| Jens Von Berg | 3 | 247 | 27.11 |
| Sebastian P M Dries | 4 | 87 | 9.38 |
| Astrid Franz | 5 | 140 | 11.98 |
| Tobias Klinder | 6 | 216 | 22.50 |
| Lorenz Cristian | 7 | 893 | 100.01 |
| Steffen Renisch | 8 | 33 | 8.69 |
| Rafael Wiemker | 9 | 244 | 29.84 |