DOI : https://doi.org/10.18517/ijaseit.1.6.142

Shape Transformation of Left Ventricle Wall for Cardiac Global Hypokinetic Evaluation

Adhi Harmoko Saputro (1), Mohd Marzuki Mustafa (2), Aini Hussain (3), Oteh Maskon (4), Ika Faizura Mohd Nor (5)
(1) Department of Electrical, Electronic and Systems Engineering, Universiti Kebangsaan Malaysia
(2) Department of Electrical, Electronic and System Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia
(3) Department of Electrical, Electronic and System Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia
(4) Cardiac Care Unit, Medical Center, Universiti Kebangsaan Malaysia
(5) Cardiac Care Unit, Medical Center, Universiti Kebangsaan Malaysia
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How to cite (IJASEIT) :
Saputro, Adhi Harmoko, et al. “Shape Transformation of Left Ventricle Wall for Cardiac Global Hypokinetic Evaluation”. International Journal on Advanced Science, Engineering and Information Technology, vol. 1, no. 6, Dec. 2011, pp. 707-10, doi:10.18517/ijaseit.1.6.142.
Citation Format :
A method to evaluate left ventricular (LV) wall motion in two-dimensional (2D) echocardiographic image is proposed. It is used to investigate posterior and anterior septum wall shape change while pumping the blood in human cardiac. Shape transformation parameters of myocardial wall boundary were extracted to indicate the LV wall movement from end diastole to end systole. Quantitative parameters represent the movement of LV wall segment whatever translation, rotation, expansion or combination of them. Initial myocardial boundary is drawn manually on end diastole cycle and then tracked to all frames by computing the speckle motion estimation in each frame of cardiac cycle. The motion vector of myocardial boundary movement is computed using warping optical flow on wavelet multi-resolution. The method was applied to parasternal long axis view of 2D echocardiographic from normal subject and patients with global hypokinetic. The results show that quantitative evaluation parameters gave a potential indication in evaluating and diagnosing myocardial wall motion abnormalities.

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