Advertisement

Image-Based Bronchial Anatomy Codification for Biopsy Guiding in Video Bronchoscopy

  • Esmitt RamírezEmail author
  • Carles Sánchez
  • Agnés Borràs
  • Marta Diez-Ferrer
  • Antoni Rosell
  • Debora Gil
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11041)

Abstract

Bronchoscopy examinations allow biopsy of pulmonary nodules with minimum risk for the patient. Even for experienced bronchoscopists, it is difficult to guide the bronchoscope to most distal lesions and obtain an accurate diagnosis. This paper presents an image-based codification of the bronchial anatomy for bronchoscopy biopsy guiding. The 3D anatomy of each patient is codified as a binary tree with nodes representing bronchial levels and edges labeled using their position on images projecting the 3D anatomy from a set of branching points. The paths from the root to leaves provide a codification of navigation routes with spatially consistent labels according to the anatomy observes in video bronchoscopy explorations. We evaluate our labeling approach as a guiding system in terms of the number of bronchial levels correctly codified, also in the number of labels-based instructions correctly supplied, using generalized mixed models and computer-generated data. Results obtained for three independent observers prove the consistency and reproducibility of our guiding system. We trust that our codification based on viewer’s projection might be used as a foundation for the navigation process in Virtual Bronchoscopy systems.

Keywords

Biopsy guiding Bronchoscopy Lung biopsy Intervention guiding Airway codification 

Notes

Acknowledgments

This work was supported by Catalan, Spanish and European projects DPI2015-65286-R, 2014-SGR-1470, CERCA Programme/Generalitat de Catalunya. Also, the first author holds the fellowship number BES-2016-078042 granted by the Ministry of Economy, Industry and Competitiveness, Spain. A Titan X Pascal was used for this research, donated by NVIDIA. Debora Gil is part of the Serra Hunter programme.

References

  1. 1.
    Dolina, M.Y., et al.: interbronchoscopist variability in endobronchial path selection: a simulation study. Chest 133(4), 897–905 (2008)CrossRefGoogle Scholar
  2. 2.
    Reynisson, P.J., et al.: Navigated bronchoscopy: a technical review. J. Bronchol. Interv. Pulmonol. 21(3), 242–264 (2014)CrossRefGoogle Scholar
  3. 3.
    Khan, K.A., Nardelli, P., Jaeger, A., O’Shea, C., Cantillon-Murphy, P., Kennedy, M.P.: Navigational bronchoscopy for early lung cancer: a road to therapy. Adv. Therapy 33(4), 580–596 (2016)CrossRefGoogle Scholar
  4. 4.
    Khandhar, S.J., et al.: Electromagnetic navigation bronchoscopy to access lung lesions in 1,000 subjects: first results of the prospective, multicenter NAVIGATE study. BMC Pulm. Med. 17(1), 59 (2017)Google Scholar
  5. 5.
    Ikezawa, Y., et al: Usefulness of endobronchial ultrasonography with a guide sheath and virtual bronchoscopic navigation for ground-glass opacity lesions. Ann. Thoracic Surg. 103(2), 470–475 (2017)CrossRefGoogle Scholar
  6. 6.
    Asano, F., et al.: Virtual bronchoscopic navigation without X-ray fluoroscopy to diagnose peripheral pulmonary lesions: a randomized trial. BMC Pulm. Med. 17(184), 12 (2017)Google Scholar
  7. 7.
    Eberhardt, R., Kahn, N., Gompelmann, D., Schumann, M., Heussel, C.P., Herth, F.J.: LungPoint-a new approach to peripheral lesions. J. Thorac. Oncol. 5(10), 1559–1563 (2010)CrossRefGoogle Scholar
  8. 8.
    Florez Valencia, L., Morales Pinzón, A., Richard, J.-C., Hernandez Hoyos, M., Orkisz, M.: Simultaneous skeletonization and graph description of airway trees in 3D CT images. In: XXVème Colloque GRETSI, Lyon, France, September 2015Google Scholar
  9. 9.
    Gómez Betancur, D.A., et al.: Airway segmentation, skeletonization, and tree matching to improve registration of 3D CT images with large opacities in the lungs. In: International Conference on Computer Vision and Graphics (ICCVG), vol. 9972, pp. 395–407 (2016)CrossRefGoogle Scholar
  10. 10.
    Pinzón, A.M., Hoyos, M.H., Richard, J.C., Flórez-Valencia, L., Orkisz, M.: A tree-matching algorithm: Application to airways in CT images of subjects with the acute respiratory distress syndrome. Med. Image Anal. 35, 101–115 (2017)Google Scholar
  11. 11.
    Bauer, C., Eberlein, M., Beichel, R.R.: Airway tree reconstruction in expiration chest CT scans facilitated by information transfer from corresponding inspiration scans. Med. Phys. 43, 1312–1323 (2016)CrossRefGoogle Scholar
  12. 12.
    Feragen, A., et al.: Geodesic atlas-based labeling of anatomical trees: application and evaluation on airways extracted from CT. IEEE Trans. Med. Imaging 34(6), 1212–1226 (2015)CrossRefGoogle Scholar
  13. 13.
    Tschirren, J., Vidal, C., Baron, B., Raffy, P., Hoffman, E.A.: Fully automated labeling of sub-segmental airways in human airway trees. 46:PA758, September 2015Google Scholar
  14. 14.
    Kerschnitzki, M., et al.: Architecture of the osteocyte network correlates with bone material quality. J. Bone Miner. Res. Off. J. Am. Soc. Bone Miner. Res. 28(8), 1837–1845 (2013)CrossRefGoogle Scholar
  15. 15.
    Oyarzun Laura, C., et al. (eds.): CLIP 2015. LNCS, vol. 9401. Springer, Cham (2016).  https://doi.org/10.1007/978-3-319-31808-0Google Scholar
  16. 16.
    Sánchez, C., Esteban-Lansaque, A., Borras, A., Diez-Ferrer, M., Rosell, A., Gil, D.: Towards a videobronchoscopy localization system from airway centre tracking. In: 12th International Conference on Computer Vision Theory and Applications (VISAPP), pp. 352–359 (2017)Google Scholar
  17. 17.
    Bronchoscopy International. What is Bronchoscopy Step-by-Step (2018). https://bronchoscopy.org
  18. 18.
    Ramírez, E., et al.: BronchoX: Bronchoscopy Exploration Software for Biopsy Intervention Planning. Healthcare Technology Letters (2018).  https://doi.org/10.1007/978-3-319-31808-0Google Scholar

Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Computer Vision CenterAutonomous University of BarcelonaBarcelonaSpain
  2. 2.Bellvitge University HospitalBarcelonaSpain

Personalised recommendations