Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/53334
Title: Standardized evaluation methodology and reference database for evaluating IVUS image segmentation
Author: Balocco, Simone
Gatta, Carlo
Ciompi, Francesco
Wahle, Andreas
Radeva, Petia
Carlier, Stéphane
Ünal, Gözde B.
Sanidas, Elias
Mauri, Josepa
Carrillo, Xavier
Kovarnik, Tomas
Wang, Ching-Wei
Chen, Hsiang-Chou
Exarchos, Themis P.
Fotiadis, Dimitrios I.
Destrempes, François
Cloutier, Guy
Pujol Vila, Oriol
Alberti, Marina
E. Gerardo Mendizabal-Ruiz
Keywords: Ultrasons en medicina
Imatges mèdiques
Informàtica mèdica
Algorismes computacionals
Ultrasonics in medicine
Imaging systems in medicine
Medical informatics
Computer algorithms
Issue Date: Mar-2014
Publisher: Elsevier Ltd
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 have been 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 be solved.
Note: Versió postprint del document publicat a: 10.1016/j.compmedimag.2013.07.001
It is part of: Computerized Medical Imaging and Graphics, 2014, vol. 38, num. 2, p. 70-90
Related resource: http://dx.doi.org/10.1016/j.compmedimag.2013.07.001
URI: http://hdl.handle.net/2445/53334
ISSN: 0895-6111
Appears in Collections:Articles publicats en revistes (Matemàtiques i Informàtica)

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