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Right ventricle segmentation from cardiac MRI: a collation study.

Caroline Petitjean 1 Maria A Zuluaga 2 Wenjia Bai 3 Jean-Nicolas Dacher 4 Damien Grosgeorge 5 Jérôme Caudron 4 Su Ruan 5 Ismail Ben Ayed M Jorge Cardoso 6 Hsiang-Chou Chen 7 Daniel Jimenez-Carretero 8 Maria J Ledesma-Carbayo 8 Christos Davatzikos 9 Jimit Doshi 9 Guray Erus 9 Oskar M O Maier 8 Cyrus M S Nambakhsh 10 Yangming Ou 11 Sébastien Ourselin 12 Chun-Wei Peng Nicholas S Peters 13 Terry M Peters 14, 15 Martin Rajchl 10 Daniel Rueckert 3 Andres Santos Wenzhe Shi 16 Ching-Wei Wang 17 Haiyan Wang Jing Yuan 18
Abstract : Magnetic Resonance Imaging (MRI), a reference examination for cardiac morphology and function in humans, allows to image the cardiac right ventricle (RV) with high spatial resolution. The segmentation of the RV is a difficult task due to the variable shape of the RV and its ill-defined borders in these images. The aim of this paper is to evaluate several RV segmentation algorithms on common data. More precisely, we report here the results of the Right Ventricle Segmentation Challenge (RVSC), concretized during the MICCAI'12 Conference with an on-site competition. Seven automated and semi-automated methods have been considered, along them three atlas-based methods, two prior based methods, and two prior-free, image-driven methods that make use of cardiac motion. The obtained contours were compared against a manual tracing by an expert cardiac radiologist, taken as a reference, using Dice metric and Hausdorff distance. We herein describe the cardiac data composed of 48 patients, the evaluation protocol and the results. Best results show that an average 80% Dice accuracy and a 1cm Hausdorff distance can be expected from semi-automated algorithms for this challenging task on the datasets, and that an automated algorithm can reach similar performance, at the expense of a high computational burden. Data are now publicly available and the website remains open for new submissions (http://www.litislab.eu/rvsc/).
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https://hal.archives-ouvertes.fr/hal-01141170
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Submitted on : Friday, April 10, 2015 - 4:30:25 PM
Last modification on : Tuesday, September 22, 2020 - 3:59:01 AM

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Caroline Petitjean, Maria A Zuluaga, Wenjia Bai, Jean-Nicolas Dacher, Damien Grosgeorge, et al.. Right ventricle segmentation from cardiac MRI: a collation study.. Medical Image Analysis, Elsevier, 2015, 19 (1), pp.187-202. ⟨10.1016/j.media.2014.10.004⟩. ⟨hal-01141170⟩

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