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Standardized evaluation framework for evaluating coronary artery stenosis detection, stenosis quantification and lumen segmentation algorithms in computed tomography angiography
Authors: H.A. Kirisli, M. Schaap, C.T. Metz, A.S. Dharampal, W.B. Meijboom, S.L. Papadopoulou, A. Dedic, K. Nieman, M.A. de Graaf, M.F.L. Meijs, M.J. Cramer, A. Broersen, S. Cetin, A. Eslami, L. Flórez-Valencia, K.L. Lor, B. Matuszewski, I. Melki, B. Mohr, I. Öksüz, R. Shahzad, C. Wang, P.H. Kitslaar, G. Unal, A. Katouzian, M. Orkisz, C.M. Chen, F. Precioso, L. Najman, S. Masood, D. Ünay, L. van Vliet, R. Moreno, R. Goldenberg, E. Vuçini, G.P. Krestin, W.J. Niessen, T. van Walsum
Published in: Medical Image Analysis 17 (2013) 859–876
Publication year: 2013
Abstract: 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 avail-able. 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
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