TY - GEN
T1 - Motion estimation along the myocardial boundary using boundary extraction and optical flow
AU - Saputro, Adhi Harmoko
AU - Mustafa, Mohd Marzuki
AU - Hussain, Aini
AU - Maskon, Oteh
AU - Noh, Ika Faizura Mohd
N1 - Funding Information:
R. J. S. thanks Mike Hudson and Laura Parker for useful discussions about this work, and the Anglo-Australian Observatory for retrieving the raw AAT spectra of ESO 325-G004. This research has made use of the NASA/IPAC Extragalactic Database (NED), which is operated by the Jet Propulsion Laboratory, California Institute of Technology, under contract with the National Aeronautics and Space Administration. This publication makes use of data products from the Two Micron All Sky Survey, which is a joint project of the University of Massachusetts and the Infrared Processing and Analysis Center/ California Institute of Technology, funded by the National Aeronautics and Space Administration and the National Science Foundation.
PY - 2010
Y1 - 2010
N2 - Myocardial motion can be helpful in diagnosing the heart abnormalities because it relates to cardiac vascular supply. Analyzing the motion of all segments of the myocardial is a difficult task because of the random noise of echocardiographic images. Noise in the echocardiographic images that is produced by the image acquisition is not consistent in each frame. It causes error in motion computation especially in optical flow computation that relies on brightness constancy. To increase the accuracy of motion estimation along the myocardial boundary, we proposed a method that combines boundary detection and optical flow to compute myocardial motion at the myocardial boundary. In this method, computation of optical flow from 2 consecutive images is done after myocardial boundary is detected in each frame. The result shows that the motion estimation algorithm along the myocardial boundary yields better result compared to without using boundary extraction methods.
AB - Myocardial motion can be helpful in diagnosing the heart abnormalities because it relates to cardiac vascular supply. Analyzing the motion of all segments of the myocardial is a difficult task because of the random noise of echocardiographic images. Noise in the echocardiographic images that is produced by the image acquisition is not consistent in each frame. It causes error in motion computation especially in optical flow computation that relies on brightness constancy. To increase the accuracy of motion estimation along the myocardial boundary, we proposed a method that combines boundary detection and optical flow to compute myocardial motion at the myocardial boundary. In this method, computation of optical flow from 2 consecutive images is done after myocardial boundary is detected in each frame. The result shows that the motion estimation algorithm along the myocardial boundary yields better result compared to without using boundary extraction methods.
KW - Boundary estimation
KW - Echocardiographic
KW - Myocardial
KW - Optical flow
UR - http://www.scopus.com/inward/record.url?scp=79959853298&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:79959853298
SN - 9789881701299
T3 - WCE 2010 - World Congress on Engineering 2010
SP - 677
EP - 680
BT - WCE 2010 - World Congress on Engineering 2010
T2 - World Congress on Engineering 2010, WCE 2010
Y2 - 30 June 2010 through 2 July 2010
ER -