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Article

Quantification of Right and Left Ventricular Function in Cardiac MR Imaging: Comparison of Semiautomatic and Manual Segmentation Algorithms

1
Department of Radiology, University Hospital Complex of Santiago (CHUS), Santiago de Compostela, A Coruña 15706, Spain
2
Department of Radiology, University of Santiago de Compostela (USC), Santiago de Compostela, A Coruña 15706, Spain
3
Department of Cardiology, University Hospital Complex of Santiago (CHUS), Santiago de Compostela, A Coruña 15706, Spain
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Department of Electronics and Computer Science, University of Santiago de Compostela (USC), Santiago de Compostela, A Coruña 15706, Spain
5
Department of Radiology, Hôpital Nord/Centre Hospital Universitaire (CHU) Saint-Etienne, Université de Lyon, Saint-Etienne 42000, France
*
Author to whom correspondence should be addressed.
Diagnostics 2013, 3(2), 271-282; https://doi.org/10.3390/diagnostics3020271
Received: 17 February 2013 / Revised: 21 March 2013 / Accepted: 25 March 2013 / Published: 3 April 2013
(This article belongs to the Special Issue Advance in Molecular Diagnostics and Imaging)
The 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 methodology. View Full-Text
Keywords: cardiac cine magnetic resonance imaging (MRI); segmentation; ejection fraction (EF); right ventricular function; left ventricular function cardiac cine magnetic resonance imaging (MRI); segmentation; ejection fraction (EF); right ventricular function; left ventricular function
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MDPI and ACS Style

Souto, 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. https://doi.org/10.3390/diagnostics3020271

AMA Style

Souto M, Masip LR, Couto M, Suárez-Cuenca JJ, Martínez A, Tahoces PG, Carreira JM, Croisille P. Quantification of Right and Left Ventricular Function in Cardiac MR Imaging: Comparison of Semiautomatic and Manual Segmentation Algorithms. Diagnostics. 2013; 3(2):271-282. https://doi.org/10.3390/diagnostics3020271

Chicago/Turabian Style

Souto, Miguel, Lambert R. Masip, Miguel Couto, Jorge J. Suárez-Cuenca, Amparo Martínez, Pablo G. Tahoces, Jose M. Carreira, and Pierre Croisille. 2013. "Quantification of Right and Left Ventricular Function in Cardiac MR Imaging: Comparison of Semiautomatic and Manual Segmentation Algorithms" Diagnostics 3, no. 2: 271-282. https://doi.org/10.3390/diagnostics3020271

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