@inproceedings{1fec219d7eb346c4bb384932964db7a8,
title = "Correction of aliasing in color Doppler echocardiography based on image processing technique in echodynamography",
abstract = "A study about the program of color Doppler to improve blood velocity estimation has been developed. Color Doppler echocardiographic images were acquired using Philips IE33 have a crucial issue the ambiguity of the offset beams when the correct velocity of the blood flow exceeds the velocity of the Nyquist limit. Therefore, velocity dealiasing is needed in quality control of color Doppler echocardiographic data to correct velocities using EDG (echodynamography) based on observer and machine interaction. The program is applied to echocardiography images of aortic stenosis subject as a technique to assess cardiovascular function. One challenging with color Doppler is correcting velocity aliasing. The observer determines the ambiguity area based on his or her knowledge. These results confirm the dealiasing and noise removing are vital elements in improving blood velocity estimation in cardiovascular diagnostic. Therefore, this study could use clinical tools based on color Doppler imaging.",
keywords = "Aliasing, Blood flow velocity, Color Doppler, Dealiasing, Smoothing",
author = "Sri Oktamuliani and Kaoru Hasegawa and Yoshifumi Saijo",
note = "Publisher Copyright: {\textcopyright} 2018 Copyright is held by the owner/author(s). Publication rights licensed to ACM.; 3rd International Conference on Biomedical Signal and Image Processing, ICBIP 2018 ; Conference date: 22-08-2018 Through 24-08-2018",
year = "2018",
month = aug,
day = "22",
doi = "10.1145/3278229.3278233",
language = "English",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
pages = "1--5",
booktitle = "Proceedings of 2018 3rd International Conference on Biomedical Signal and Image Processing, ICBIP 2018",
}