Abstract
Bronchoscopy allows to examine the patient airways for detection of lesions and sampling of tissues without surgery. A main drawback in lung cancer diagnosis is the difficulty to check whether the exploration is following the correct path to the nodule that has to be biopsied. The most extended guidance uses fluoroscopy which implies repeated radiation of clinical staff and patients. Alternatives such as virtual bronchoscopy or electromagnetic navigation are very expensive and not completely robust to blood, mocus or deformations as to be extensively used. We propose a method that extracts and tracks stable lumen regions at different levels of the bronchial tree. The tracked regions are stored in a tree that encodes the anatomical structure of the scene which can be useful to retrieve the path to the lesion that the clinician should follow to do the biopsy. We present a multi-expert validation of our anatomical landmark extraction in 3 intra-operative ultrathin explorations.
D. Gil—Serra Hunter Fellow
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Jemal, A., Bray, F., Center, M.M., Ferlay, J., et al.: Global cancer statistics. CA Cancer J. Clin. 61(2), 69–90 (2011)
Reynisson, P.J., Leira, H.O., Hernes, T.N., et al.: Navigated bronchoscopy: a technical review. J. Bronchology Interv. Pulmo. 21(3), 242–264 (2014)
Manhire, A., Charig, M., Clelland, C., Gleeson, F., Miller, R., et al.: Guidelines for radiologically guided lung biopsy. Thorax 58(11), 920–936 (2003)
Donnelly, E.F.: Technical parameters and interpretive issues in screening computed tomography scans for lung cancer. J. Thor. Imag. 27(4), 224–229 (2012)
Shepherd, R.W.: Bronchoscopic pursuit of the peripheral pulmonary lesion: navigational bronchoscopy, radial endobronchial ultrasound, and ultrathin bronchoscopy. Curr. Opin. Pulm. Med. 22(3), 257–264 (2016)
Eberhardt, R., Kahn, N., Gompelmann, D., et al.: Lungpointâa new approach to peripheral lesions. J. Thor. Onco. 5(10), 1559–1563 (2010)
Asano, F., Matsuno, Y., et al.: A virtual bronchoscopic navigation system for pulmonary peripheral lesions. Chest 130(2), 559–566 (2006)
Shen, M., Giannarou, S., Yang, G.-Z.: Robust camera localisation with depth reconstruction for bronchoscopic navigation. IJCARS 10(6), 801–813 (2015)
Rai, L., Helferty, J.P., Higgins, W.E.: Combined video tracking and image-video registration for continuous bronchoscopic guidance. IJCARS 3(3–4), 315–329 (2008)
Luó, X., Feuerstein, M., Deguchi, D., et al.: Development and comparison of new hybrid motion tracking for bronchoscopic navigation. MedIma 16(3), 577–596 (2012)
Sánchez, C., Bernal, J., Gil, D., Sánchez, F.J.: On-line lumen centre detection in gastrointestinal and respiratory endoscopy. In: Erdt, M., Linguraru, M.G., Laura, C.O., Shekhar, R., Wesarg, S., González Ballester, M.A., Drechsler, K. (eds.) CLIP 2013. LNCS, vol. 8361, pp. 31–38. Springer, Heidelberg (2014)
Sánchez, C., Diez-Ferrer, M., Bernal, J., Sánchez, F.J., Rosell, A., Gil, D.: Navigation path retrieval from videobronchoscopy using bronchial branches. In: Oyarzun-Laura, C., et al. (eds.) CLIP 2015. LNCS, vol. 9401, pp. 62–70. Springer, Heidelberg (2016). doi:10.1007/978-3-319-31808-0_8
Matas, J., Chum, O., Urban, M., Pajdla, T.: Robust wide-baseline stereo from maximally stable extremal regions. Im. Vis. Comp. 22(10), 761–767 (2004)
Haykin, S.S.: Kalman Filtering and Neural Networks. Wiley Online Library, New York (2001)
Kuhn, H.W.: The hungarian method for the assignment problem. Naval Res. Logistics Q. 2(1–2), 83–97 (1955)
Acknowledgments
This work was supported by Spanish project DPI2015-65286-R, 2014-SGR-1470, Fundació Marató TV3 20133510 and FIS-ETES PI09/90917. Debora Gil is supported by Serra Hunter Fellow.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing AG
About this paper
Cite this paper
Esteban-Lansaque, A., Sánchez, C., Borràs, A., Diez-Ferrer, M., Rosell, A., Gil, D. (2016). Stable Anatomical Structure Tracking for Video-Bronchoscopy Navigation. In: Shekhar, R., et al. Clinical Image-Based Procedures. Translational Research in Medical Imaging. CLIP 2016. Lecture Notes in Computer Science(), vol 9958. Springer, Cham. https://doi.org/10.1007/978-3-319-46472-5_3
Download citation
DOI: https://doi.org/10.1007/978-3-319-46472-5_3
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-46471-8
Online ISBN: 978-3-319-46472-5
eBook Packages: Computer ScienceComputer Science (R0)