Journal ArticleDOI
Detection of left ventricle systolic dysfunction from shape deformity.
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TLDR
This study focused on the 2D echocardiograms of the left ventricle and found that the diastolic phase is short in the case of systolic dysfunction, and its volume variation is not uniform as in the normal case.Abstract:
Coronary artery disease producing ischemic cardiomyopathy is the most frequent cause of left ventricular systolic dysfunction. Non-ischemic cardiomyopathies can also produce systolic dysfunction; they may be inherited as genetic disorders or occur sporadically. These coronary injuries have repercussions on the left ventricle producing changes on wall contractility, the shape of the cavity and also changes on ventricular function. This study is focused on the 2D echocardiograms of the left ventricle. Apical two chamber and four chamber view recordings were performed on normal and systolic dysfunction subjects. Individual frames were extracted for at least five cardiac cycles. After preprocessing these images, segmentation of the left ventricle was performed by Fuzzy systems. Then the volumes were measured by single and biplane methods along with the perimeter, short axis length and long axis length in each frame, from which the two indices Sphericity Index (SI) and Normalized Eccentricity Index (NEI) was determined. It was found that the diastolic phase is short in the case of systolic dysfunction, and its volume variation is not uniform as in the normal case. Also, in the case of systolic dysfunction, the span of either the long or short axis length variation is less than 0.5 cm. This depicts that akinesis is in the corresponding direction; the value of SI is less than 2 for systolic dysfunction. A sharp peak is seen at each systole point in the NEI plot and also its variation is smooth in subjects having LVEF > 45%, which is not the case for dysfunction.read more
Citations
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Echocardiographic parameters that predict outcome in aortic atresia patients undergoing comprehensive stage II procedure.
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Sequential functional analysis of left ventricle from 2D-echocardiography images.
Rani Chacko,Megha Singh +1 more
TL;DR: The sequential changes in shape of left ventricle (LV) in its long axis view during one cardiac cycle are obtained by processing of images obtained from a normal subject and two patients with dilated left ventricular cardio-myopathy by a semi-automatic algorithm developed by MATLAB.
Journal ArticleDOI
Global feature for left ventricular dysfunction detection based on shape deformation tracking
Adhi Harmoko Saputro,Mohd Marzuki Mustafa,Aini Hussain,W Mimi Diyana W Zaki,Oteh Maskon,Ika Faizura Mohd Nor +5 more
TL;DR: In this article, the authors proposed a feature to detect left ventricular dysfunction globally by analyzing the LV shape deformation in systolic contraction, which is an index that is extracted from geometric measurement of LV shape such as the length of the long axis, the short axis, and the apical diameter.
Fuzzy Systems in Biomedicine
TL;DR: Recently emerging biological topics related to gene expression data, molecular-cellular analysis and bioinformatics, using fuzzy sets theory, are reported in the chapter.
References
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Proceedings ArticleDOI
Endocardial edge detection by fuzzy inference system
TL;DR: This method is successfully applied to the echocardiogram images to detect the left ventricle (LV) endocardial borders and some experiments are given.
Proceedings ArticleDOI
Automatic detection and quantification of regional wall motion, LV function and remodeling using 2 D echocardiographic imaging
TL;DR: A system using two-dimensional echocardiography for quantitative assessment of left ventricular wall motion abnormalities, function, and shape has been developed and simple and expressive indexes have been devised for the characterization of ventricular shape expansion and distortion.
Proceedings ArticleDOI
Regional wall motion analysis in patients with idiopathic dilated cardiomyopathy
TL;DR: At a late stage, regional function becomes indistinguishable between dilated and ischemic patients, suggesting that, independently of the etiology, there is a common remodeling process responsible for left ventricular dilatation and regional dysfunction.
Proceedings ArticleDOI
Detection of ischaemic cardiopathy analysing 2D-echograms
TL;DR: The main steps of the proposed off-line method are: the enhancement of the images to emphasize the heterogeneous regions and to smooth the homogeneous ones, the extraction of the cavity's contour by using the active contour model (snakes) and then the examination of the found contour's motion.
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