Standardized evaluation framework for evaluating coronary artery stenosis detection, stenosis quantification and lumen segmentation algorithms in computed tomography angiography
Kirisli, Hortense A. and Schaap, M. and Metz, C. T. and Dharampal, A. S. and Meijboom, W. B. and Papadopoulou, S. L. and Dedic, A. and Nieman, K. and De Graaf, M. A. and Meijs, M. F. L. and Cramer, M. J. and Broersen, A. and Çetin, Süheyla and Eslami, A. and Florez-Valencia, L. and Lor, K. L. and Matuszewski, B. and Melki, I. and Mohr, B. and Öksüz, I. and Shahzad, R. and Wang, C. and Kitslaar, P. H. and Ünal, Gözde and Katouzian, A. and Orkisz, M. and Chen, C. M. and Precioso, F. and Najman, L. and Masood, S. and Unay, D. and Van Vliet, L. and Moreno, R. and Goldenberg, R. and Vucini, E. and Krestin, G. P. and Niessen, W. J. and 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). pp. 859-876. ISSN 1361-8415 (Print) 1361-8423 (Online)
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Official URL: http://dx.doi.org/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 (CIA) 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 CIA data. The objective of this evaluation framework is to demonstrate the feasibility of dedicated algorithms to: (I) (semi-)automatically detect and quantify stenosis on CIA, in comparison with quantitative coronary angiography (QCA) and CIA consensus reading, and (2) (semi-)automatically segment the coronary lumen on CIA, in comparison with expert's manual annotation. A database consisting of 48 multicenter multivendor cardiac CIA 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/.
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