How to perform left and right ventricular function quantification in cardiac magnetic resonance imaging with a simple mo
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POSTER PRESENTATION
Open Access
How to perform left and right ventricular function quantification in cardiac magnetic resonance imaging with a simple mouse click Lambert R Masip1*, Miguel Souto2, Pablo G Tahoces1, Amparo Martínez2, Juan J Vidal2 From 2011 SCMR/Euro CMR Joint Scientific Sessions Nice, France. 3-6 February 2011 Introduction Ventricular function is a primary indicator for the diagnosis and treatment monitoring of many cardiovascular diseases. Cardiac cine magnetic resonance imaging (MRI) with steady state free precession (SSFP) sequences is regarded to be the standard of reference for the assessment of ventricular function. However, manual segmentation of MRI data is a time consuming process and also suffers from inter/intra-observer variability. This justifies the development of more automated segmentation methods to reduce the amount of time and effort that an experienced operator must spend on this process, and to make such methods practical. Purposes The objective of this study was to validate our automated segmentation method developed to perform left and right ventricular function quantification from cardiac magnetic resonance images with a simple mouse click.
Methods Thirty patients with cardiovascular diseases were examined using a 1.5-T MRI unit (Magnetom Symphony Maestro Class, syngo MR 2002B software; Siemen AG, Medical Solutions, Erlangen, Germany). A stack of short axis slices with a thickness of 6-mm was planned according to the vertical and horizontal long-axis views, to cover both ventricles from the base to the apex. Acquisition was performed with end-expiratory breathhold cine SSFP sequences. Several parameters such as end-diastolic and end-systolic volumes (EDV and ESV, respectively), stroke volume (SV), and ejection fraction (EF) of both ventricles were quantified using our automated segmentation method based on edge detection, iterative thresholding and region growing techniques (Figure 1). Obtained results were validated against those performed using a commercially available software package based on manual contour tracing (Argus, release syngo MR 2002B; Siemens AG, Medical Solutions, Erlangen, Germany).
Figure 1 Automated segmentation scheme: User interaction was reduced to a mouse click on the analyzed ventricle in a midventricular ED frame. Then, a square kernel was set up around the mouse click position and all the frames were automatically segmented.
1 University of Santiago de Compostela, Santiago de Compostela, Spain Full list of author information is available at the end of the article
© 2011 Masip et al; licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Masip et al. Journal of Cardiovascular Magnetic Resonance 2011, 13(Suppl 1):P139 http://jcmr-online.com/content/13/S1/P139
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Results No statistically sig
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