作者
HA Kirişli, Michiel Schaap, CT Metz, AS Dharampal, Willem Bob Meijboom, Stella-Lida Papadopoulou, Admir Dedic, Koen Nieman, Michiel A de Graaf, MFL Meijs, Maarten-Jan Cramer, Alexander Broersen, Suheyla Cetin, Abouzar Eslami, Leonardo Florez-Valencia, Kuo-Lung Lor, Bogdan Matuszewski, Imen Melki, Brian Mohr, Ilkay Öksüz, Rahil Shahzad, Chunliang Wang, Pieter H Kitslaar, Gözde Unal, Amin Katouzian, Maciej Orkisz, Chung-Ming Chen, Frédéric Precioso, Laurent Najman, S Masood, Devrim Ünay, Lucas van Vliet, Rodrigo Moreno, Roman Goldenberg, Erald Vuçini, Gabriel P Krestin, Wiro J Niessen, Theo van Walsum
发表日期
2013/12/1
期刊
Medical image analysis
卷号
17
期号
8
页码范围
859-876
出版商
Elsevier
简介
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 …
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HA Kirişli, M Schaap, CT Metz, AS Dharampal… - Medical image analysis, 2013