Toward online quantification of tracheal stenosis from videobronchoscopy
Sánchez, Carles (Universitat Autònoma de Barcelona. Departament de Ciències de la Computació)
Bernal del Nozal, Jorge (Universitat Autònoma de Barcelona. Departament de Ciències de la Computació)
Sánchez, F. Javier (Centre de Visió per Computador)
Diez-Ferrer, Marta (Hospital Universitari de Bellvitge)
Rosell Gratacos, Antoni (Hospital Universitari de Bellvitge)
Gil, Debora (Universitat Autònoma de Barcelona. Departament de Ciències de la Computació)

Títol variant:	Towards on-line quantification of tracheal stenosis from videobronchoscopy
Data:	2015
Resum:	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 non-invasive 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 rst visible ring in a healthy frame. We propose a parametric strategy for the extraction of lumen and tracheal rings regions based on models of their geometry and appearance that guide a deformable model. To ensure a systematic applicability, we present a statical 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 dierent stenosed tracheas. Experiments report a non clinically relevant 9% of discrepancy in the calculated stenotic area and a computational time allowing on-line implementation in the operating room. Conclusion 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.
Ajuts:	Ministerio de Economía y Competitividad TIN2012-33116 Fundació la Marató de TV3 20133510 Instituto de Salud Carlos III PI09/90917
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Llengua:	Anglès
Document:	Article ; recerca ; Versió acceptada per publicar
Matèria:	Bronchoscopy ; Stenosis assessment ; Parameter setting ; ANOVA
Publicat a:	International Journal of Computer Assisted Radiology and Surgery, Vol. 10, Num. 6 (June 2015) , p. 935-945, ISSN 1861-6429

DOI: 10.1007/s11548-015-1196-z

Postprint 16 p, 3.9 MB

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