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.

[1]  Claus Peter Heussel,et al.  LungPoint—A New Approach to Peripheral Lesions , 2010, Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer.

[2]  T. Gildea,et al.  Electromagnetic navigation diagnostic bronchoscopy: a prospective study. , 2006, American journal of respiratory and critical care medicine.

[3]  S. Haykin Kalman Filtering and Neural Networks , 2001 .

[4]  F. Gleeson,et al.  Guidelines for radiologically guided lung biopsy , 2003, Thorax.

[5]  Jiri Matas,et al.  Robust wide-baseline stereo from maximally stable extremal regions , 2004, Image Vis. Comput..

[6]  Keno März,et al.  Crowdtruth validation: a new paradigm for validating algorithms that rely on image correspondences , 2015, International Journal of Computer Assisted Radiology and Surgery.

[7]  E. Donnelly,et al.  Technical parameters and interpretive issues in screening computed tomography scans for lung cancer. , 2012, Journal of thoracic imaging.

[8]  M. Roizen Reduced Lung-Cancer Mortality with Low-Dose Computed Tomographic Screening , 2012 .

[9]  Erlend Fagertun Hofstad,et al.  Automatic registration of CT images to patient during the initial phase of bronchoscopy: a clinical pilot study. , 2014, Medical physics.

[10]  Debora Gil,et al.  On-Line Lumen Centre Detection in Gastrointestinal and Respiratory Endoscopy , 2013, CLIP.

[11]  R. V. Van Uitert,et al.  Subvoxel precise skeletons of volumetric data based on fast marching methods. , 2007, Medical physics.

[12]  Gregory Hager,et al.  Vision-based navigation in image-guided interventions. , 2011, Annual review of biomedical engineering.

[13]  F. Asano,et al.  Virtual bronchoscopic navigation. , 2010, Clinics in chest medicine.

[14]  Daisuke Deguchi,et al.  Development and comparison of new hybrid motion tracking for bronchoscopic navigation , 2012, Medical Image Anal..

[15]  F. Lindseth,et al.  Navigated Bronchoscopy: A Technical Review , 2014, Journal of bronchology & interventional pulmonology.

[16]  Debora Gil,et al.  Navigation Path Retrieval from Videobronchoscopy Using Bronchial Branches , 2015, CLIP@MICCAI.

[17]  Debora Gil,et al.  Toward online quantification of tracheal stenosis from videobronchoscopy , 2015, International Journal of Computer Assisted Radiology and Surgery.

[18]  Philip Kollmannsberger,et al.  Architecture of the osteocyte network correlates with bone material quality , 2013, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.