@InProceedings{CarlesSanchez2016,
author="Carles Sanchez
and Debora Gil
and Jorge Bernal
and F. Javier Sanchez
and Marta Diez-Ferrer
and Antoni Rosell",
title="Navigation Path Retrieval from Videobronchoscopy using Bronchial Branches",
booktitle="19th International Conference on Medical Image Computing and Computer Assisted Intervention Workshops",
year="2016",
volume="9401",
pages="62--70",
optkeywords="Bronchoscopy navigation",
optkeywords="Lumen center",
optkeywords="Brochial branches",
optkeywords="Navigation path",
optkeywords="Videobronchoscopy",
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.",
optnote="IAM; MV; 600.060; 600.075",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=2885), last updated on Thu, 20 Jan 2022 13:23:15 +0100",
file=":http://refbase.cvc.uab.es/files/SGB2016.pdf:PDF"
}