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Toward online quantification of tracheal stenosis from videobronchoscopy

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International Journal of Computer Assisted Radiology and Surgery Aims and scope Submit manuscript

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 \(9\,\%\) 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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Notes

  1. http://tinyurl.com/kmqmfys.

  2. Bellvitge Hospital, Barcelona. Sampling size for clinical trial.

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Conflict of interest

The authors declare that they have no conflict of interest.

Author information

Authors and Affiliations

  1. Computer Vision Center, Computer Science Department, Universitat Autonoma de Barcelona, 08193, Barcelona, Spain

    Carles Sánchez, Jorge Bernal, F. Javier Sánchez & Debora Gil

  2. Pneumology Unit, Hospital University Bellvitge, IDIBELL, CIBERES, Barcelona, Spain

    Marta Diez & Antoni Rosell

Authors
  1. Carles Sánchez
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  2. Jorge Bernal
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  3. F. Javier Sánchez
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  4. Marta Diez
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  5. Antoni Rosell
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  6. Debora Gil
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Corresponding author

Correspondence to Carles Sánchez.

Additional information

This work was supported by Spanish Project TIN2012-33116, Fundació Marató TV3 20133510 and FIS-ETES PI09/90917. D. Gil is supported by the Serra Hunter program of the Catalan Government.

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Sánchez, C., Bernal, J., Sánchez, F.J. et al. Toward online quantification of tracheal stenosis from videobronchoscopy. Int J CARS 10, 935–945 (2015). https://doi.org/10.1007/s11548-015-1196-z

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  • DOI: https://doi.org/10.1007/s11548-015-1196-z

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