Right ventricle segmentation from cardiac MRI: a collation study.

Caroline Petitjean 1, 2 Maria A Zuluaga 3 Wenjia Bai 4 Jean-Nicolas Dacher 5 Damien Grosgeorge 6 Jérôme Caudron 5 Su Ruan 6 Ismail Ben Ayed M Jorge Cardoso 7 Hsiang-Chou Chen 8 Daniel Jimenez-Carretero 9 Maria J Ledesma-Carbayo 9 Christos Davatzikos 10 Jimit Doshi 10 Guray Erus 10 Oskar M O Maier 9 Cyrus M S Nambakhsh 11 Yangming Ou 12 Sébastien Ourselin 13 Chun-Wei Peng Nicholas S Peters 14 Terry M Peters 15, 16 Martin Rajchl 11 Daniel Rueckert 4 Andres Santos Wenzhe Shi 17 Ching-Wei Wang 18 Haiyan Wang Jing Yuan 19
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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Contributor : Céline Breton <>
Submitted on : Friday, April 10, 2015 - 4:30:25 PM
Last modification on : Thursday, July 25, 2019 - 2:24:49 PM


  • HAL Id : hal-01141170, version 1
  • PUBMED : 25461337


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. ⟨hal-01141170⟩



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