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. 2015 Jun;10(6):935-45.
doi: 10.1007/s11548-015-1196-z. Epub 2015 Apr 18.

Toward online quantification of tracheal stenosis from videobronchoscopy

Carles Sánchez  1 , Jorge Bernal, F Javier Sánchez, Marta Diez, Antoni Rosell, Debora Gil
Affiliations

Toward online quantification of tracheal stenosis from videobronchoscopy

Carles Sánchez et al. Int J Comput Assist Radiol Surg. 2015 Jun.

Abstract

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.

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