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Using path planning techniques to improve airway tree segmentation from CT images

Author
Cabras, P.; Rosell, J.
Type of activity
Presentation of work at congresses
Name of edition
6th International Conference on Bio-inspired Systems and signal Processing
Date of publication
2013
Presentation's date
2013-02-13
Book of congress proceedings
Proceedings of the 6th International Conference on Bio-inspired Systems and signal Processing
First page
189
Last page
195
Repository
http://hdl.handle.net/2117/17829 Open in new window
Abstract
Virtual Bronchoscopy (VB) permits the preplanning of operations concerning the airways and provides the necessary guidance to reach the pulmonary lesions. Fundamental for a good VB is the reconstruction of a 3D model of the airways from the CT images. Airway segmentation algorithms usually return the biggest detected volume connected to the trachea (the root tree), but many of them also reconstruct during the segmentation process, small parts not connected to the root tree. To overcome this prob...
Citation
Cabras, P.; Rosell, J. Using path planning techniques to improve airway tree segmentation from CT images. A: International Conference on Bio-inspired Systems and signal Processing. "Proceedings of the 6th International Conference on Bio-inspired Systems and signal Processing". Barcelona: 2013, p. 189-195.
Group of research
SIR - Service and Industrial Robotics

Participants