Title :
Myocardial motion analysis using optical flow and wavelet decomposition
Author :
Saputro, Adhi Harmoko ; Mustafa, Mohd Marzuki ; Hussain, Aini ; Maskon, Oteh ; Nor, Ika Faizura Mohd
Author_Institution :
Dept. of Electr., Electron. & Syst. Eng., Univ. Kebangsaan Malaysia, Bangi, Malaysia
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 :
Haar transforms; echocardiography; image sequences; medical image processing; motion estimation; wavelet transforms; Haar wavelet decomposition; echocardiography; heart motion; image sequences; motion estimation; myocardial segment; optical flow; ultrasound image; Heart; Image generation; Image motion analysis; Image segmentation; Motion analysis; Motion estimation; Myocardium; Ultrasonic imaging; Visualization; Wavelet analysis; Optical flow; multi scale; myocardial; wavelet decomposition;
Conference_Titel :
Signal Processing and Its Applications (CSPA), 2010 6th International Colloquium on
Conference_Location :
Mallaca City
Print_ISBN :
978-1-4244-7121-8
DOI :
10.1109/CSPA.2010.5545258