Using Path Planning Techniques to Improve Airway Tree Segmentation from CT Images
Paolo Cabras, Jan Rosell
2013
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 problem this paper proposes a method, based on path planning techniques, that is able to connect the small isolated pieces of bronchi to the terminal points of the root airway tree, taking into account the growing direction of the branches and the gray values of the CT images. As a result, a more complete 3D model of the airways is obtained.
References
- Bauer, C., Bischof, H., and Beichel, R. (2009a). Segmentation of airways based on gradient vector flow. In Second International Workshop on Pulmonary Image Analysis, pages 191-200. MICCAI.
- Bauer, C., Pock, T., Bischof, H., and Beichel, R. (2009b).
- Airway tree reconstruction based on tube detection. In Second International Workshop on Pulmonary Image Analysis, pages 203-213. MICCAI.
- Eberhardt, R., Kahn, N., Gompelmann, D., Schumann, M., Heussel, C. P., and Herth, F. J. F. (2010). Lungpoint-a new approach to peripheral lesions. Journal of Thoracic Oncology, 5(10):1559-1563.
- Ferguson, J. and McLennan, G. (2005). Virtual bronchoscopy. Proceedings of American Thoracic Society, 2:488-491.
- Fetita, C. and Preteux, F. (1999). Three-dimensional reconstruction of human bronchial tree in hrct. In Proc. of SPIE, volume 3646, pages 281-294.
- Fetita, C. I., Preˆteux, F., Beigelman-Aubry, C., and Grenier, P. (2004). Pulmonary airways: 3-d reconstruction from multislice ct and clinical investigation. IEEE Transatcions on medical imaging, 23(11):145-152.
- Graham, M. W., Gibbs, J. D., Cornish, D. C., and Higgins, W. E. (2010). Robust 3-d airway tree segmentation for image-guided peripheral bronchoscopy. In IEEE transactions on Medical Imaging, volume 29, pages 982-97. IEEE.
- Latombe, J.-C. (1991). Robot Motion Planning. Kluwer Academic.
- Peng, H., Ruan, Z., Atasoy, D., and Sternson, S. (2010). Automatic reconstruction of 3d neuron structures using a graph-augmented deformable model. Bioinformatics, 26:i38-i46.
- Pinho, R., Luyckx, R., and Sijbers, J. (2009). Robust region growing based intrathoracic airway tree segmentation. Second International Workshop on Pulmonary Image Analysis, pages 261-277.
- Rosell, J., Perez, A., Cabras, P., and Rosell, A. (2012). Motion planning for the virtual bronchoscopy. In IEEE International Conference on Robotics and Automation, pages 2932 - 2937. IEEE.
- Shinagawa, N., Yamazaki, K., Onodera, Y., Asano, F., Ishida, T., Moriya, H., and Nishimura, M. (2007). Virtual bronchoscopy navigation system shortens the examination time: Feasibility study of vrtual bronchoscopy navigation system. Lung Cancer, 56(2):201-206.
- Sonka, M., Park, W., and Hoffman, E. A. (1996). Rule-based detection of intrathoracic airway trees. In IEEE transactions on Medical Imaging, volume 15, pages 314-326. IEEE.
Paper Citation
in Harvard Style
Cabras P. and Rosell J. (2013). Using Path Planning Techniques to Improve Airway Tree Segmentation from CT Images . In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2013) ISBN 978-989-8565-36-5, pages 189-195. DOI: 10.5220/0004237101890195
in Bibtex Style
@conference{biosignals13,
author={Paolo Cabras and Jan Rosell},
title={Using Path Planning Techniques to Improve Airway Tree Segmentation from CT Images},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2013)},
year={2013},
pages={189-195},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004237101890195},
isbn={978-989-8565-36-5},
}
in EndNote Style
TY - CONF
JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2013)
TI - Using Path Planning Techniques to Improve Airway Tree Segmentation from CT Images
SN - 978-989-8565-36-5
AU - Cabras P.
AU - Rosell J.
PY - 2013
SP - 189
EP - 195
DO - 10.5220/0004237101890195