TY  - CONF
AU  - Marina Alberti
AU  - Carlo Gatta
AU  - Simone Balocco
AU  - Francesco Ciompi
AU  - Oriol Pujol
AU  - Joana Silva
AU  - Xavier Carrillo
AU  - Petia Radeva
A2  - IbPRIA
ED  - Jordi Vitria
ED  - Joao Miguel Raposo
ED  - Mario Hernandez
PY  - 2011//
TI  - Automatic Branching Detection in IVUS Sequences
T2  - LNCS
BT  - 5th Iberian Conference on Pattern Recognition and Image Analysis
SP  - 126
EP  - 133
VL  - 6669
PB  - Springer Berlin Heidelberg
CY  - Berlin
N2  - Atherosclerosis is a vascular pathology affecting the arterial walls, generally located in specific vessel sites, such as bifurcations. In this paper, for the first time, a fully automatic approach for the detection of bifurcations in IVUS pullback sequences is presented. The method identifies the frames and the angular sectors in which a bifurcation is visible. This goal is achieved by applying a classifier to a set of textural features extracted from each image of an IVUS pullback. A comparison between two state-of-the-art classifiers is performed, AdaBoost and Random Forest. A cross-validation scheme is applied in order to evaluate the performances of the approaches. The obtained results are encouraging, showing a sensitivity of 75% and an accuracy of 94% by using the AdaBoost algorithm.
SN  - 0302-9743
SN  - 978-3-642-21256-7
UR  - http://dx.doi.org/10.1007/978-3-642-21257-4_16
N1  - MILAB;HuPBA
ID  - Marina Alberti2011
ER  -