Journal
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
Volume 38, Issue 2, Pages 70-90Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compmedimag.2013.07.001
Keywords
IVUS (intravascular ultrasound); Evaluation framework; Algorithm comparison; Image segmentation
Funding
- ARTREAT [FP7-224297]
- MDEIE, Canada
- Boston Scientific, Fremont, CA, USA
- NSERC [138570]
- Boston Scientific, USA
- MICINN
- NSC [101-2628-E-011-006-MY3]
- National Institutes of Health, U.S.A. [R01EB004640, R01HL063373]
- Czech Ministry of Health, Czech Republic [IGA NR9214-3]
- CONACYT
- NSF [DMS-0915242]
- UH Hugh Roy and Lillie Cranz Cullen Endowment Fund
- [TIN2009-14404-C02]
- [TIN2012-38187-C03-01]
- [SGR00696]
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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. (C) 2013 Elsevier Ltd. All rights reserved.
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