@inproceedings{890271c975ce4695b56ec1283a8647d0,
title = "Myocardial motion analysis using optical flow and wavelet decomposition",
abstract = "The abnormalities of myocardial can be predicted quantitatively by analysing visualization of motion estimation in all or part of myocardial segment. To visualize the heart motion on myocardial, ultrasound image is evaluated globally using a differential optical flow technique that recursively applied a set of multi scale ultrasound image. A set of multi scale images is generated using approximation channel of Haar wavelet decomposition. The method was validated and evaluated on the real ultrasound image sequences that were collected from several health and unhealthy volunteers based on the American Heart Association standardization. The method was also compared to other methods using the same of ultrasound images. The result using our proposed algorithm is more accurate than the other methods. The results of myocardial motion estimation are shown in needle view of motion field in all myocardial segments and according to the expert echocardiographic analyzing.",
keywords = "Multi scale, Myocardial, Optical flow, Wavelet decomposition",
author = "Saputro, {Adhi Harmoko} and Mustafa, {Mohd Marzuki} and Aini Hussain and Oteh Maskon and Nor, {Ika Faizura Mohd}",
year = "2010",
doi = "10.1109/CSPA.2010.5545258",
language = "English",
isbn = "9781424471225",
series = "Proceedings - CSPA 2010: 2010 6th International Colloquium on Signal Processing and Its Applications",
publisher = "IEEE Computer Society",
pages = "339--343",
booktitle = "Proceedings - CSPA 2010",
address = "United States",
note = "2010 6th International Colloquium on Signal Processing and Its Applications, CSPA 2010 ; Conference date: 21-05-2010 Through 23-05-2010",
}