Standardized evaluation framework for evaluating coronary artery stenosis detection, stenosis quantification and lumen segmentation algorithms in computed tomography angiography

Kirisli, Hortense; Schaap, Michiel; Metz, Coert; Dharampal, Anoeshka; Meijboom, Willem Bob; Papadopoulou, Stella-Lida; Dedic, Admir; Nieman, Koen; de Graaf, Michiel; Meijs, Matthijs; Cramer, Maarten-Jan; Broersen, Alexander; Cetin, S.; Eslami, A.; Flórez-Valencia, L.; Lor, K.L.; Matuszewski, B.; Melki, I.; Mohr, Brigitte; Öksüz, I.; Shahzad, R.; Wang, Chenguang; Kitslaar, Pieter; Unal, G.; Katouzian, A.; Orkisz, Maciej; Chen, Chien-Ming; Precioso, F.; Najman, L.; Masood, S.; Ünay, D.; van Vliet, Lucas; Moreno, Raúl; Goldenberg, R.; Vuçini, E.; Krestin, Gabriel; Niessen, Wiro; van Walsum, Theo

doi:10.1016/j.media.2013.05.007

Though conventional coronary angiography (CCA) has been the standard of reference for diagnosing coronary artery disease in the past decades, computed tomography angiography (CTA) has rapidly emerged, and is nowadays widely used in clinical practice. Here, we introduce a standardized evaluation framework to reliably evaluate and compare the performance of the algorithms devised to detect and quantify the coronary artery stenoses, and to segment the coronary artery lumen in CTA data. The objective of this evaluation framework is to demonstrate the feasibility of dedicated algorithms to: (1) (semi-)automatically detect and quantify stenosis on CTA, in comparison with quantitative coronary angiography (QCA) and CTA consensus reading, and (2) (semi-)automatically segment the coronary lumen on CTA, in comparison with expert's manual annotation. A database consisting of 48 multicenter multivendor cardiac CTA datasets with corresponding reference standards are described and made available. The algorithms from 11 research groups were quantitatively evaluated and compared. The results show that (1) some of the current stenosis detection/quantification algorithms may be used for triage or as a second-reader in clinical practice, and that (2) automatic lumen segmentation is possible with a precision similar to that obtained by experts. The framework is open for new submissions through the website, at http://coronary.bigr.nl/stenoses/.

Additional Metadata
Keywords	adult, algorithm, article, clinical practice, computer assisted tomography, consensus, controlled study, coronary artery obstruction, data base, diagnostic test accuracy study, emergency health service, feasibility study, female, human, image analysis, male, priority journal, radiodiagnosis, standard
Persistent URL	doi.org/10.1016/j.media.2013.05.007, hdl.handle.net/1765/41673
Journal	Medical Image Analysis
Organisation	Erasmus MC: University Medical Center Rotterdam
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Kirisli, H., Schaap, M., Metz, C., Dharampal, A., Meijboom, W. B., Papadopoulou, S.-L., … van Walsum, T. (2013). Standardized evaluation framework for evaluating coronary artery stenosis detection, stenosis quantification and lumen segmentation algorithms in computed tomography angiography. Medical Image Analysis, 17(8), 859–876. doi:10.1016/j.media.2013.05.007

Standardized evaluation framework for evaluating coronary artery stenosis detection, stenosis quantification and lumen segmentation algorithms in computed tomography angiography

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Standardized evaluation framework for evaluating coronary artery stenosis detection, stenosis quantification and lumen segmentation algorithms in computed tomography angiography

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