Segmentation of Airways Based on Gradient Vector Flow
| Authors | Bauer Christian, Bischof Horst, Beichel Reinhard |
|---|---|
| Appeared in | The Second International Workshop on Pulmonary Image Analysis, Proc. of Medical Image Computing and Computer Assisted Intervention |
| Date | 2009 |
| Abstract | We present an automated approach for the segmentation of airways in CT datasets. The approach utilizes the Gradient Vector Flow and consists of two main processing steps. Initially, airway-like structures are identified and their centerlines are extracted. These centerlines are used in a second step to initialize the actual segmentation of the corresponding airways. An evaluation on 20 clinical datasets shows that our method achieves a good average airway branch count (63.0\%) without any major leakage. |
| Link |
