Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/76059
Title: Standardized evaluation methodology and reference database for evaluating coronary artery centerline extraction algorithms
Authors: Schaap, Michiel
Metz, Coert T.
van Walsum, Theo
van der Giessen, Alina G.
Weustink, Annick C.
Mollet, Nico R.
Bauer, Christian
Bogunovic, Hrvoje
Castro, Carlos
Deng, Xiang
Dikici, Engin
O'Donnell, Thomas
Frenay, Michel
Friman, Ola
Hernandez Hoyos, Marcela
Kitslaar, Pieter H.
Krissian, Karl
Kuehnel, Caroline
Luengo-Oroz, Miguel A.
Orkisz, Maciej
Smedby, Orjan
Styner, Martin
Szymczak, Andrzej
Tek, Hueseyin
Wang, Chunliang
Warfield, Simon K.
Zambal, Sebastian
Zhang, Yong
Krestin, Gabriel P.
Niessen, Wiro J.
UNESCO Clasification: 32 Ciencias médicas
Keywords: Computed-Tomography
Vessel Segmentation
Radiation-Exposure
Angiography
Tree, et al
Issue Date: 2009
Journal: Medical Image Analysis 
Abstract: Efficiently obtaining a reliable coronary artery centerline from computed tomography angiography data is relevant in clinical practice. Whereas numerous methods have been presented for this purpose, up to now no standardized evaluation methodology has been published to reliably evaluate and compare the performance of the existing or newly developed coronary artery centerline extraction algorithms. This paper describes a standardized evaluation methodology and reference database for the quantitative evaluation of coronary artery centerline extraction algorithms. The contribution of this work is fourfold: (1) a method is described to create a consensus centerline with multiple observers, (2) well-defined measures are presented for the evaluation of coronary artery centerline extraction algorithms, (3) a database containing 32 cardiac CTA datasets with corresponding reference standard is described and made available. and (4) 13 coronary artery centerline extraction algorithms, implemented by different research groups, are quantitatively evaluated and compared. The presented evaluation framework is made available to the medical imaging community for benchmarking existing or newly developed coronary centerline extraction algorithms.
URI: http://hdl.handle.net/10553/76059
ISSN: 1361-8415
DOI: 10.1016/j.media.2009.06.003
Source: Medical Image Analysis [ISSN 1361-8415], v. 13 (5), p. 701-714, (Octubre 2009)
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