TY  - CONF
AU  - Carles Sanchez
AU  - Debora Gil
AU  - Antoni Rosell
AU  - Albert Andaluz
AU  - F. Javier Sanchez
A2  - VISAPP
ED  - Sebastiano Battiato and José Braz
PY  - 2013//
TI  - Segmentation of Tracheal Rings in Videobronchoscopy combining Geometry and Appearance
T2  - LNCS
BT  - Proceedings of the International Conference on Computer Vision Theory and Applications
SP  - 153--161
VL  - 1
PB  - SciTePress
CY  - Portugal
KW  - Video-bronchoscopy
KW  - tracheal ring segmentation
KW  - trachea geometric and appearance model
N2  - Videobronchoscopy is a medical imaging technique that allows interactive navigation inside the respiratory pathways and minimal invasive interventions. Tracheal procedures are ordinary interventions that require measurement of the percentage of obstructed pathway for injury (stenosis) assessment. Visual assessment of stenosis in videobronchoscopic sequences requires high expertise of trachea anatomy and is prone to human error. Accurate detection of tracheal rings is the basis for automated estimation of the size of stenosed trachea. Processing of videobronchoscopic images acquired at the operating room is a challenging task due to the wide range of artifacts and acquisition conditions. We present a model of the geometric-appearance of tracheal rings for its detection in videobronchoscopic videos. Experiments on sequences acquired at the operating room, show a performance close to inter-observer variability
SN  - 978-989-8565-47-1
L1  - http://refbase.cvc.uab.es/files/SGR2013.pdf
N1  - IAM;MV; 600.044; 600.047; 600.060; 605.203
ID  - Carles Sanchez2013
ER  -