BibTeX
@article{IJASEIT2,
author = {Slamet Riyadi and Mohd Marzuki Mustafa and Aini Hussain and Oteh Maskon and Ika Faizura Mohd Nor},
title = {Myocardial Motion Estimation: An Evaluation of Optical Flow Computation Techniques on Echocardiographic Images},
journal = {International Journal on Advanced Science, Engineering and Information Technology},
volume = {1},
number = {4},
year = {2011},
pages = {395--398},
keywords = {myocardial motion; optical flow; echocardiography images; global smoothness; local smoothness; warping},
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.},
issn = {2088-5334},
publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},
url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=2},
doi = {10.18517/ijaseit.1.4.2}
}
EndNote
%A Riyadi, Slamet
%A Mustafa, Mohd Marzuki
%A Hussain, Aini
%A Maskon, Oteh
%A Nor, Ika Faizura Mohd
%D 2011
%T Myocardial Motion Estimation: An Evaluation of Optical Flow Computation Techniques on Echocardiographic Images
%B 2011
%9 myocardial motion; optical flow; echocardiography images; global smoothness; local smoothness; warping
%! Myocardial Motion Estimation: An Evaluation of Optical Flow Computation Techniques on Echocardiographic Images
%K myocardial motion; optical flow; echocardiography images; global smoothness; local smoothness; warping
%X 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.
%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=2
%R doi:10.18517/ijaseit.1.4.2
%J International Journal on Advanced Science, Engineering and Information Technology
%V 1
%N 4
%@ 2088-5334
IEEE
Slamet Riyadi,Mohd Marzuki Mustafa,Aini Hussain,Oteh Maskon and Ika Faizura Mohd Nor,"Myocardial Motion Estimation: An Evaluation of Optical Flow Computation Techniques on Echocardiographic Images," International Journal on Advanced Science, Engineering and Information Technology, vol. 1, no. 4, pp. 395-398, 2011. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.1.4.2.
RefMan/ProCite (RIS)
TY - JOUR
AU - Riyadi, Slamet
AU - Mustafa, Mohd Marzuki
AU - Hussain, Aini
AU - Maskon, Oteh
AU - Nor, Ika Faizura Mohd
PY - 2011
TI - Myocardial Motion Estimation: An Evaluation of Optical Flow Computation Techniques on Echocardiographic Images
JF - International Journal on Advanced Science, Engineering and Information Technology; Vol. 1 (2011) No. 4
Y2 - 2011
SP - 395
EP - 398
SN - 2088-5334
PB - INSIGHT - Indonesian Society for Knowledge and Human Development
KW - myocardial motion; optical flow; echocardiography images; global smoothness; local smoothness; warping
N2 - 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.
UR - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=2
DO - 10.18517/ijaseit.1.4.2
RefWorks
RT Journal Article
ID 2
A1 Riyadi, Slamet
A1 Mustafa, Mohd Marzuki
A1 Hussain, Aini
A1 Maskon, Oteh
A1 Nor, Ika Faizura Mohd
T1 Myocardial Motion Estimation: An Evaluation of Optical Flow Computation Techniques on Echocardiographic Images
JF International Journal on Advanced Science, Engineering and Information Technology
VO 1
IS 4
YR 2011
SP 395
OP 398
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 myocardial motion; optical flow; echocardiography images; global smoothness; local smoothness; warping
AB 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.
LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=2
DO - 10.18517/ijaseit.1.4.2
