Name
Abstract | ||
|---|---|---|
We present a new model-based approach for an automated labeling and segmentation of the rib cage in chest CT scans. A mean rib cage model including a complete vertebral column is created out of 29 data sets. We developed a ray search based procedure for rib cage detection and initial model pose. After positioning the model, it was adapted to 18 unseen CT data. In 16 out of 18 data sets, detection, labeling, and segmentation succeeded with a mean segmentation error of less than 1.3 mm between true and detected object surface. In one case the rib cage detection failed, in another case the automated labeling. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-75759-7_24 | MICCAI (2) |
Keywords | Field | DocType |
unseen ct data,ct image,rib cage,new model-based approach,automated model-based rib cage,rib cage detection,mean segmentation error,mean rib cage model,complete vertebral column,initial model,chest ct,ct scan | Computer vision,Data set,Pattern recognition,Vertebral column,Rib cage,Segmentation,Computer science,Artificial intelligence | Conference |
Volume | Issue | ISSN |
10 | Pt 2 | 0302-9743 |
ISBN | Citations | PageRank |
3-540-75758-9 | 21 | 1.80 |
References | Authors | |
7 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tobias Klinder | 1 | 216 | 22.50 |
| Lorenz Cristian | 2 | 893 | 100.01 |
| Jens Von Berg | 3 | 247 | 27.11 |
| Sebastian P M Dries | 4 | 87 | 9.38 |
| Thomas Bülow | 5 | 252 | 33.08 |
| Jörn Ostermann | 6 | 993 | 167.01 |