TY  - CHAP
AU  - Carles Sanchez
AU  - F. Javier Sanchez
AU  - Antoni Rosell
AU  - Debora Gil
A2  - ICIAR
PY  - 2012//
TI  - An illumination model of the trachea appearance in videobronchoscopy images
T2  - LNCS
BT  - Image Analysis and Recognition
T3  - Lecture Notes in Computer Science
SP  - 313
EP  - 320
VL  - 7325
PB  - Springer Berlin Heidelberg
KW  - Bronchoscopy
KW  - tracheal ring
KW  - stenosis assesment
KW  - trachea appearance model
KW  - segmentation
N2  - Videobronchoscopy is a medical imaging technique that allows interactive navigation inside the respiratory pathways. This imaging modality provides realistic images and allows non-invasive minimal intervention procedures. Tracheal procedures are routinary interventions that require assessment of the percentage of obstructed pathway for injury (stenosis) detection. Visual assessment in videobronchoscopic sequences requires high expertise of trachea anatomy and is prone to human error.This paper introduces an automatic method for the estimation of steneosed trachea percentage reduction in videobronchoscopic images. We look for tracheal rings , whose deformation determines the degree of obstruction. For ring extraction , we present a ring detector based on an illumination and appearance model. This model allows us to parametrise the ring detection. Finally, we can infer optimal estimation parameters for any video resolution.
SN  - 0302-9743
SN  - 978-3-642-31297-7
UR  - http://www.iciar.uwaterloo.ca/iciar12/
L1  - http://refbase.cvc.uab.es/files/SSR2012.pdf
UR  - http://dx.doi.org/10.1007/978-3-642-31298-4_37
N1  - MV;IAM
ID  - Carles Sanchez2012
ER  -