Evaluation framework for carotid bifurcation lumen segmentation and stenosis grading
This paper describes an evaluation framework that allows a standardized and objective quantitative comparison of carotid artery lumen segmentation and stenosis grading algorithms. We describe the data repository comprising 56 multi-center, multi-vendor CTA datasets, their acquisition, the creation o...
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Veröffentlicht in: | Medical image analysis 2011-08, Vol.15 (4), p.477-488 |
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Hauptverfasser: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | This paper describes an evaluation framework that allows a standardized and objective quantitative comparison of carotid artery lumen segmentation and stenosis grading algorithms. We describe the data repository comprising 56 multi-center, multi-vendor CTA datasets, their acquisition, the creation of the reference standard and the evaluation measures. This framework has been introduced at the MICCAI 2009 workshop 3D Segmentation in the Clinic: A Grand Challenge III, and we compare the results of eight teams that participated. These results show that automated segmentation of the vessel lumen is possible with a precision that is comparable to manual annotation. The framework is open for new submissions through the website
http://cls2009.bigr.nl.
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► Evaluation framework for carotid artery lumen segmentation and stenosis grading. ► Description of the datasets and creation of reference standard is given. ► Standardized evaluation measures are defined. ► Results on current eight submissions are presented. ► Framework is open for new submissions.
This paper describes an evaluation framework that allows a standardized and objective quantitative comparison of carotid artery lumen segmentation and stenosis grading algorithms. We describe the data repository comprising 56 multi-center, multi-vendor CTA datasets, their acquisition, the creation of the reference standard and the evaluation measures. This framework has been introduced at the MICCAI 2009 workshop
3D Segmentation in the Clinic: A Grand Challenge III, and we compare the results of eight teams that participated. These results show that automated segmentation of the vessel lumen is possible with a precision that is comparable to manual annotation. The framework is open for new submissions through the website
http://cls2009.bigr.nl. |
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ISSN: | 1361-8415 1361-8423 |
DOI: | 10.1016/j.media.2011.02.004 |