%0 Conference Proceedings
%T Towards On-line Quantification of Tracheal Stenosis from Videobronchoscopy
%A Carles Sanchez
%A Jorge Bernal
%A F. Javier Sanchez
%A Marta Diez-Ferrer
%A Antoni Rosell
%A Debora Gil
%B 6th International Conference on Information Processing in Computer-Assisted Interventions IPCAI2015
%D 2015
%V 10
%N 6
%F Carles Sanchez2015
%O IAM; MV; 600.075
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=2613), last updated on Tue, 25 Feb 2020 11:52:37 +0100
%X PURPOSE:Lack of objective measurement of tracheal obstruction degree has a negative impact on the chosen treatment prone to lead to unnecessary repeated explorations and other scanners. Accurate computation of tracheal stenosis in videobronchoscopy would constitute a breakthrough for this noninvasive technique and a reduction in operation cost for the public health service.METHODS:Stenosis calculation is based on the comparison of the region delimited by the lumen in an obstructed frame and the region delimited by the first visible ring in a healthy frame. We propose a parametric strategy for the extraction of lumen and tracheal ring regions based on models of their geometry and appearance that guide a deformable model. To ensure a systematic applicability, we present a statistical framework to choose optimal parametric values and a strategy to choose the frames that minimize the impact of scope optical distortion.RESULTS:Our method has been tested in 40 cases covering different stenosed tracheas. Experiments report a non- clinically relevant [Formula: see text] of discrepancy in the calculated stenotic area and a computational time allowing online implementation in the operating room.CONCLUSIONS:Our methodology allows reliable measurements of airway narrowing in the operating room. To fully assess its clinical impact, a prospective clinical trial should be done.
%P 935-945