Myocardial Motion Estimation: An Evaluation of Optical Flow Computation Techniques on Echocardiographic Images

Slamet Riyadi, Mohd Marzuki Mustafa, Aini Hussain, Oteh Maskon, Ika Faizura Mohd Nor

Abstract


The use of image processing technique for cardiac motion analysis has been an active research in the past decade. The estimation of myocardial motion eases the cardiologist in diagnosing cardiac abnormalities. In term of movement analysis, optical flow is the most popular technique that has been used by researchers. This paper describes the implementation and evaluation of three optical flow computation techniques to estimate the myocardial motion using echocardiographic images. The three techniquesare the global smoothness method (GSM), the local smoothness method (LSM) and warping technique (WT). Optical flow field is computed based on healthy cardiac video on parasternal short axes view. These techniques look promising since the optical flow fields can be utilized to estimate the myocardial movement and comply with its true movement. The performances of each technique in terms of the direction, homogeneity and computing time, are also discussed.

Keywords


myocardial motion; optical flow; echocardiography images; global smoothness; local smoothness; warping

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DOI: http://dx.doi.org/10.18517/ijaseit.1.4.2

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Published by INSIGHT - Indonesian Society for Knowledge and Human Development