Authors:
Carles Sánchez
1
;
Antonio Esteban Lansaque
1
;
Agnès Borràs
1
;
Marta Diez-Ferrer
2
;
Antoni Rosell
2
and
Debora Gil
1
Affiliations:
1
Computer Vision Center, Spain
;
2
Hospital Universitari Bellvitge, Spain
Keyword(s):
Video-bronchoscopy, Lung Cancer Diagnosis, Airway Lumen Detection, Region Tracking, Guided Bronchoscopy Navigation.
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Computer Vision, Visualization and Computer Graphics
;
Image and Video Analysis
;
Image Formation and Preprocessing
;
Image Formation, Acquisition Devices and Sensors
;
Medical Image Applications
;
Motion, Tracking and Stereo Vision
;
Segmentation and Grouping
;
Tracking and Visual 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 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.