Souto Bayarri, José MiguelMasip, Lambert RaúlCouto, MiguelSuárez Cuenca, Jorge JuanMartínez, AmparoGarcía Tahoces, PabloCarreira Villamor, José MartínCroisille, Pierre2018-11-142018-11-142013Souto, M.; Masip, L.R.; Couto, M.; Suárez-Cuenca, J.J.; Martínez, A.; Tahoces, P.G.; Carreira, J.M.; Croisille, P. Quantification of Right and Left Ventricular Function in Cardiac MR Imaging: Comparison of Semiautomatic and Manual Segmentation Algorithms. Diagnostics 2013, 3, 271-282.http://hdl.handle.net/10347/17712The purpose of this study was to evaluate the performance of a semiautomatic segmentation method for the anatomical and functional assessment of both ventricles from cardiac cine magnetic resonance (MR) examinations, reducing user interaction to a “mouse-click”. Fifty-two patients with cardiovascular diseases were examined using a 1.5-T MR imaging unit. Several parameters of both ventricles, such as end-diastolic volume (EDV), end-systolic volume (ESV) and ejection fraction (EF), were quantified by an experienced operator using the conventional method based on manually-defined contours, as the standard of reference; and a novel semiautomatic segmentation method based on edge detection, iterative thresholding and region growing techniques, for evaluation purposes. No statistically significant differences were found between the two measurement values obtained for each parameter (p > 0.05). Correlation to estimate right ventricular function was good (r > 0.8) and turned out to be excellent (r > 0.9) for the left ventricle (LV). Bland-Altman plots revealed acceptable limits of agreement between the two methods (95%). Our study findings indicate that the proposed technique allows a fast and accurate assessment of both ventricles. However, further improvements are needed to equal results achieved for the right ventricle (RV) using the conventional methodologyeng© 2013 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/)http://creativecommons.org/licenses/by/3.0/Cardiac cine magnetic resonance imaging (MRI)SegmentationEjection fraction (EF)Right ventricular functionLeft ventricular functionjournal article10.3390/diagnostics30202712075-4418open access