Literature DB >> 18325030

Separating the left cardiac ventricle from the atrium in short axis MR images using the equation of the atrioventricular plane.

Per Thunberg1, Kent Emilsson, Peter Rask, Anders Kähäri.   

Abstract

Short axis (SA) images obtained from cardiac magnetic resonance imaging are used to advantage in the calculation of important clinical parameters such as the ejection fraction and stroke volume (SV). A prerequisite for these calculations is the separation of the left ventricle and the left atrium. When only using the information seen in the SA images this separation can be a source of error due to the through-plane motion of the basal part of the left ventricle. In this study a method is proposed where the separation of the left ventricle and the atrium is performed by identifying the intersections of the atrioventricular plane in the SA images. The equation of the atrioventricular plane was determined in both systole and diastole using long axis and four chamber image views. Stroke volumes were measured in 20 patients using SA images where the endocardium had been delineated. The SV obtained using the new method was compared with quantitative flow measurements and the conventional technique for calculation of SV from SA images, respectively. The agreement of SV was, according to Bland-Altman analysis, 2.0 ml (95% CI -12.0 to 15.9 ml) in comparison with the flow measurements and 2.2 ml (95% CI -9.2 to 13.6 ml) compared to the conventional method. Inter- and intra-observer variability, when using the new proposed method, was small. This study shows that the identification of the left atrioventricular plane in SA images can be used in the separation of the left atrium and ventricle.

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Year:  2008        PMID: 18325030     DOI: 10.1111/j.1475-097X.2008.00799.x

Source DB:  PubMed          Journal:  Clin Physiol Funct Imaging        ISSN: 1475-0961            Impact factor:   2.273


  1 in total

1.  Endocardial border detection in cardiac magnetic resonance images using level set method.

Authors:  Mohammed Ammar; Saïd Mahmoudi; Mohammed Amine Chikh; Amine Abbou
Journal:  J Digit Imaging       Date:  2012-04       Impact factor: 4.056

  1 in total

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