TY  - CONF
AU  - Antonio Hernandez
AU  - Carlo Gatta
AU  - Sergio Escalera
AU  - Laura Igual
AU  - Victoria Martin Yuste
AU  - Petia Radeva
A2  - MICCAI
PY  - 2011//
TI  - Accurate and Robust Fully-Automatic QCA: Method and Numerical  Validation
BT  - 14th International Conference on Medical Image Computing and Computer Assisted Intervention
SP  - 496
EP  - 503
VL  - 14
IS  - 3
PB  - Springer
N2  - The Quantitative Coronary Angiography (QCA) is a methodology used to evaluate the arterial diseases and, in particular, the degree of stenosis. In this paper we propose AQCA, a fully automatic method for vessel segmentation based on graph cut theory. Vesselness, geodesic paths and a new multi-scale edgeness map are used to compute a globally optimal artery segmentation. We evaluate the method performance in a rigorous numerical way on two datasets. The method can detect an artery with precision 92.9 +/- 5% and sensitivity 94.2 +/- 6%. The average absolute distance error between detected and ground truth centerline is 1.13 +/- 0.11 pixels (about 0.27 +/- 0.025 mm) and the absolute relative error in the vessel caliber estimation is 2.93% with almost no bias. Moreover, the method can discriminate between arteries and catheter with an accuracy of 96.4%.
SN  - 978-3-642-23625-9
N1  - MILAB;HuPBA
ID  - Antonio Hernandez2011
ER  -