Journal article
Standardized evaluation methodology and reference database for evaluating IVUS image segmentation
Computerized medical imaging and graphics, Vol.38(2), pp.70-90
03/01/2014
DOI: 10.1016/j.compmedimag.2013.07.001
PMID: 24012215
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.
Details
- Title: Subtitle
- Standardized evaluation methodology and reference database for evaluating IVUS image segmentation
- Creators
- Simone Balocco - Computer Vision Center, Bellaterra, SpainCarlo Gatta - Computer Vision Center, Bellaterra, SpainFrancesco Ciompi - Computer Vision Center, Bellaterra, SpainAndreas Wahle - Department of Electrical & Computer Engineering, The University of Iowa, Iowa City, USAPetia Radeva - Computer Vision Center, Bellaterra, SpainStephane Carlier - UZ Brussel, Department of Cardiology, Brussels, BelgiumGozde Unal - Faculty of Engineering and Natural Sciences, Sabanci University, TurkeyElias Sanidas - Cardiovascular Research FoundationJosepa Mauri - Trias (Greece)Xavier Carillo - Trias (Greece)Tomas Kovarnik - Charles UniversityChing-Wei Wang - National Taiwan University of Science and TechnologyHsiang-Chou Chen - National Taiwan University of Science and TechnologyThemis P. Exarchos - University of IoanninaDimitrios I. Fotiadis - University of IoanninaFrançois Destrempes - Université de MontréalGuy Cloutier - Université de MontréalOriol Pujol - Universitat de BarcelonaMarina Alberti - Computer Vision Center, Bellaterra, SpainE. Gerardo Mendizabal-Ruiz - University of HoustonMariano Rivera - Centro de Investigacion en Matematicas, Guanajuato, MexicoTimur Aksoy - Faculty of Engineering and Natural Sciences, Sabanci University, TurkeyRichard W. Downe - University of IowaIoannis A. Kakadiaris - University of Houston
- Resource Type
- Journal article
- Publication Details
- Computerized medical imaging and graphics, Vol.38(2), pp.70-90
- DOI
- 10.1016/j.compmedimag.2013.07.001
- PMID
- 24012215
- NLM abbreviation
- Comput Med Imaging Graph
- ISSN
- 0895-6111
- eISSN
- 1879-0771
- Publisher
- Elsevier Ltd
- Language
- English
- Date published
- 03/01/2014
- Academic Unit
- Electrical and Computer Engineering; Radiation Oncology; The Iowa Institute for Biomedical Imaging
- Record Identifier
- 9984460335802771
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