Cardiac motion reconstruction using LKT algorithm from 2D and 3D echocardiography

The rhythm of the heart endows us with not only a life insurance but also a barometer indicating any potential abnormalities. Hence the accurate measurement of heart motion has profound clinical benefit in assisting diagnostic decision making and yet remains a challenging issue to be confronted. Perceptibly, heart motion can be quantified manually from M-mode diagrams of echocardiographs which are created by way of sound waves while a patient is undergoing scanning. Alternatively, the motion can be monitored automatically by post-image processing techniques analyzing B-mode video sequences. This paper explores the feasibility of the application of the Lucas-Kanada-Tomasi algorithm towards the reconstruction of m-mode diagrams from 2D sequences and tissue velocity curves from 3D video clips for the left ventricle. Preliminary results reveal a promising match between the post-processing findings and real-time scanning data and are in consistent agreement with similar studies.

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