Name
Abstract | ||
|---|---|---|
In this paper a new approach to CT based investigation of pulmonary airways is introduced. Especially a new - fully automated algorithm for airway tree segmentation is proposed. The algorithm is based on 3D seeded region growing. However in opposite to traditional approaches region growing is applied twice: firstly --- for detecting main bronchi, secondly --- for localizing low order parts of the airway tree. The growth of distal parts of the airway tree is driven by a map constructed on the basis of morphological gradient. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-10268-4_29 | CIARP |
Keywords | Field | DocType |
main bronchus,distal part,airway tree segmentation,traditional approaches region growing,automated algorithm,morphological gradient,pulmonary airway,airway tree,new approach,low order part,ct scan,region growing,ct,image segmentation | Computer vision,Pattern recognition,Segmentation,Computer science,Image segmentation,Artificial intelligence,Region growing,Airway,Morphological gradient | Conference |
Volume | ISSN | Citations |
5856 | 0302-9743 | 1 |
PageRank | References | Authors |
0.40 | 7 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anna Fabijańska | 1 | 33 | 7.30 |
| Marcin Janaszewski | 2 | 13 | 3.48 |
| Michał Postolski | 3 | 3 | 1.11 |
| Laurent Babout | 4 | 8 | 2.69 |