Correction of aliasing in color Doppler echocardiography based on image processing technique in echodynamography

Sri Oktamuliani, Kaoru Hasegawa, Yoshifumi Saijo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationProceedings of 2018 3rd International Conference on Biomedical Signal and Image Processing, ICBIP 2018
PublisherAssociation for Computing Machinery
Pages1-5
Number of pages5
ISBN (Electronic)9781450364362
DOIs
Publication statusPublished - 2018 Aug 22
Event3rd International Conference on Biomedical Signal and Image Processing, ICBIP 2018 - Seoul, Korea, Republic of
Duration: 2018 Aug 222018 Aug 24

Publication series

NameACM International Conference Proceeding Series

Other

Other3rd International Conference on Biomedical Signal and Image Processing, ICBIP 2018
CountryKorea, Republic of
CitySeoul
Period18/8/2218/8/24

Keywords

  • Aliasing
  • Blood flow velocity
  • Color Doppler
  • Dealiasing
  • Smoothing

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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