Abstract
Bronchoscopy biopsy can be used to diagnose lung cancer without risking complications of other interventions like transthoracic needle aspiration. During bronchoscopy, the clinician has to navigate through the bronchial tree to the target lesion. A main drawback is the difficulty to check whether the exploration is following the correct path. The usual guidance using fluoroscopy implies repeated radiation of the clinician, while alternative systems (like electromagnetic navigation) require specific equipment that increases intervention costs. We propose to compute the navigated path using anatomical landmarks extracted from the sole analysis of videobronchoscopy images. Such landmarks allow matching the current exploration to the path previously planned on a CT to indicate clinician whether the planning is being correctly followed or not. We present a feasibility study of our landmark based CT-video matching using bronchoscopic videos simulated on a virtual bronchoscopy interactive interface.
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Acknowledgments
This work was supported by Spanish project TIN2012-33116 and DPI2015-65286-R, Fundació Marató TV3 20133510, FIS-ETES PI09/90917 and Secretaria d’Universitats i Recerca de la Generalitat de Catalunya 2014-SGR-1470. Debora Gil is a Serra Hunter Fellow.
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Sánchez, C., Diez-Ferrer, M., Bernal, J., Sánchez, F.J., Rosell, A., Gil, D. (2016). Navigation Path Retrieval from Videobronchoscopy Using Bronchial Branches. In: Oyarzun Laura, C., et al. Clinical Image-Based Procedures. Translational Research in Medical Imaging. CLIP 2015. Lecture Notes in Computer Science(), vol 9401. Springer, Cham. https://doi.org/10.1007/978-3-319-31808-0_8
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DOI: https://doi.org/10.1007/978-3-319-31808-0_8
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