Implementation of optical flow: good feature definition for tracking of heart cavity

Echocardiography is a method of examination using high-frequency sound waves to capture images of the heart organ structure. Echocardiography video is used by a doctor to analyze heart wall cavity movements and identify heart disease. Several points of view including the long axis, the two and four...

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Main Authors: Anwar, Anwar (Author), Sigit, Riyanto (Author), Basuki, Achmad (Author), Gunawan, I Putu Adi Surya (Author)
Format: EJournal Article
Published: Institute of Advanced Engineering and Science, 2020-05-01.
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042 |a dc 
100 1 0 |a Anwar, Anwar  |e author 
100 1 0 |e contributor 
700 1 0 |a Sigit, Riyanto  |e author 
700 1 0 |a Basuki, Achmad  |e author 
700 1 0 |a Gunawan, I Putu Adi Surya  |e author 
245 0 0 |a Implementation of optical flow: good feature definition for tracking of heart cavity 
260 |b Institute of Advanced Engineering and Science,   |c 2020-05-01. 
500 |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/20829 
520 |a Echocardiography is a method of examination using high-frequency sound waves to capture images of the heart organ structure. Echocardiography video is used by a doctor to analyze heart wall cavity movements and identify heart disease. Several points of view including the long axis, the two and four cavities in the left ventricle can be used in the examination of heart function. Cardiac assessment is still performed conventionally, which requires a level of thoroughness. This research proposes a method for tracking the movement of the heart wall. In this method, the good feature was defined only in the first frame. Furthermore, the whole frame will be processed by the optical flow method. Good feature definition consists of image enhancement, segmentation and tracking processes using the optical flow. Furthermore, the calculation of contour similarity from the proposed method by forming contour manually using 24 point initialization to draw the heart cavity. The proposed method shows the calculation results with a sensitivity of 90% and an accuracy of 87.451%. 
540 |a Copyright (c) 2020 Institute of Advanced Engineering and Science 
540 |a http://creativecommons.org/licenses/by-nc/4.0 
546 |a eng 
690
690 |a Echocardiography; Good feature; Image enhancement; Image segmentation; Optical flow 
655 7 |a info:eu-repo/semantics/article  |2 local 
655 7 |a info:eu-repo/semantics/publishedVersion  |2 local 
655 7 |2 local 
786 0 |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 18, No 2: May 2020; 1057-1065 
786 0 |n 2502-4760 
786 0 |n 2502-4752 
786 0 |n 10.11591/ijeecs.v18.i2 
787 0 |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/20829/13705 
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