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Towards a Videobronchoscopy Localization System from Airway Centre Tracking
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 a
feasibility study of our navigation system using simulated bronchoscopic videos and a multi-expert validation of landmarks extraction in 3 intra-operative ultrathin explorations.
Towards a Videobronchoscopy Localization System from Airway Centre TrackingCarles SanchezAntonio Esteban LansaqueAgnes BorrasMarta Diez-FerrerAntoni RosellDebora Gilopenurl:?ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Frefbase.cvc.uab.es%2F&genre=proceeding&title=Towards%20a%20Videobronchoscopy%20Localization%20System%20from%20Airway%20Centre%20Tracking&date=2017&spage=352&epage=359&aulast=Carles%20Sanchez&au=Antonio%20Esteban%20Lansaque&au=Agnes%20Borras&au=Marta%20Diez-Ferrer&au=Antoni%20Rosell&au=Debora%20Gil&sid=refbase%3ACVCCarles Sanchez, Antonio Esteban Lansaque, Agnes Borras, Marta Diez-Ferrer, Antoni Rosell, & Debora Gil. (2017).<a target='_blank' href='/files/SEB2017.pdf'> "Towards a Videobronchoscopy Localization System from Airway Centre Tracking "</a> In 12th International Conference on Computer Vision Theory and Applications (pp. 352-359).2017ConferencePapertextVideo-bronchoscopyLung cancer diagnosisAirway lumen detectionRegion trackingGuided bronchoscopy navigationfile:http://refbase.cvc.uab.es/files/SEB2017.pdf12th International Conference on Computer Vision Theory and Applications2017352359