Kirişli, H.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 Cetin, S. and Eslami, A. and Flórez-Valencia, L. and Lor, K.L. and Matuszewski, B. and Melki, I. and Mohr, B. and Oksuz, Ilkay and Shahzad, R. and Wang, C. and Kitslaar, P.H. and Unal, G. and Katouzian, A. and Orkisz, Maciej and Chen, C.M. and Precioso, F. and Najman, L. and Masood, S. and Unay, Devrim and van Vliet, L. and Moreno, R. and Goldenberg, R. and Vuçini, E. and Krestin, G.P. and Niessen, W.J. and van Walsum, T. 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 (2013)
Full text not available from this repository.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 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/.
| Item Type: | Article |
|---|---|
| Identification Number: | 10.1016/j.media.2013.05.007 |
| Uncontrolled Keywords: | Standardized evaluation framework; Coronary arteries; Computed tomography angiography (CTA); stenoses detection; stenoses quantification |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science R Medicine > RC Internal medicine |
| Research Area: | Computer Science and Applications |
| Depositing User: | Ms T. Iannizzi |
| Date Deposited: | 03 Jul 2014 10:18 |
| Last Modified: | 06 Apr 2016 09:20 |
| URI: | http://eprints.imtlucca.it/id/eprint/2241 |
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