@Article{SimoneBalocco2014,
author="Simone Balocco
and Carlo Gatta
and Francesco Ciompi
and A. Wahle
and Petia Radeva
and S. Carlier
and G. Unal
and E. Sanidas
and J. Mauri
and X. Carillo
and T. Kovarnik
and C. Wang
and H. Chen
and T. P. Exarchos
and D. I. Fotiadis
and F. Destrempes
and G. Cloutier
and Oriol Pujol
and Marina Alberti
and E. G. Mendizabal-Ruiz
and M. Rivera
and T. Aksoy
and R. W. Downe
and I. A. Kakadiaris",
title="Standardized evaluation methodology and reference database for evaluating IVUS image segmentation",
journal="Computerized Medical Imaging and Graphics",
year="2014",
volume="38",
number="2",
pages="70--90",
optkeywords="IVUS (intravascular ultrasound)",
optkeywords="Evaluation framework",
optkeywords="Algorithm comparison",
optkeywords="Image segmentation",
abstract="This paper describes an evaluation framework that allows a standardized and quantitative comparison of IVUS lumen and media segmentation algorithms. This framework has been introduced at the MICCAI 2011 Computing and Visualization for (Intra)Vascular Imaging (CVII) workshop, comparing the results of eight teams that participated.We describe the available data-base comprising of multi-center, multi-vendor and multi-frequency IVUS datasets, their acquisition, the creation of the reference standard and the evaluation measures. The approaches address segmentation of the lumen, the media, or both borders; semi- or fully-automatic operation; and 2-D vs. 3-D methodology. Three performance measures for quantitative analysis havebeen proposed. The results of the evaluation indicate that segmentation of the vessel lumen and media is possible with an accuracy that is comparable to manual annotation when semi-automatic methods are used, as well as encouraging results can be obtained also in case of fully-automatic segmentation. The analysis performed in this paper also highlights the challenges in IVUS segmentation that remains to besolved.",
optnote="MILAB; LAMP; HuPBA; 600.046; 600.063; 600.079",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=2314), last updated on Thu, 05 Feb 2015 10:21:06 +0100",
doi="10.1016/j.compmedimag.2013.07.001",
file=":http://refbase.cvc.uab.es/files/BGC2013.pdf:PDF"
}