@InProceedings{CarlesSanchez2017,
author="Carles Sanchez
and Antonio Esteban Lansaque
and Agnes Borras
and Marta Diez-Ferrer
and Antoni Rosell
and Debora Gil",
title="Towards a Videobronchoscopy Localization System from Airway Centre Tracking",
booktitle="12th International Conference on Computer Vision Theory and Applications",
year="2017",
pages="352--359",
optkeywords="Video-bronchoscopy",
optkeywords="Lung cancer diagnosis",
optkeywords="Airway lumen detection",
optkeywords="Region tracking",
optkeywords="Guided bronchoscopy navigation",
abstract="Bronchoscopists use fluoroscopy to guide flexible bronchoscopy to the lesion to be biopsied without any kind of incision. Being fluoroscopy an imaging technique based on X-rays, the risk of developmental problems and cancer is increased in those subjects exposed to its application, so minimizing radiation is crucial. Alternative guiding systems such as electromagnetic navigation require specific equipment, increase the cost of the clinical procedure and still require fluoroscopy. In this paper we propose an image based guiding system based on the extraction of airway centres from intra-operative videos. Such anatomical landmarks are matched to the airway centreline extracted from a pre-planned CT to indicate the best path to the nodule. We present afeasibility study of our navigation system using simulated bronchoscopic videos and a multi-expert validation of landmarks extraction in 3 intra-operative ultrathin explorations.",
optnote="IAM; 600.096; 600.075; 600.145",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=2943), last updated on Thu, 04 Apr 2019 11:56:49 +0200",
file=":http://refbase.cvc.uab.es/files/SEB2017.pdf:PDF"
}