Myocardial motion analysis using optical flow and wavelet decomposition

Adhi Harmoko Saputro, Mohd. Marzuki Mustafa, Aini Hussain, Oteh Maskon, Ika Faizura Mohd Nor

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

2 Citations (Scopus)

Abstract

The abnormalities of myocardial can be predicted quantitatively by analysing visualization of motion estimation in all or part of myocardial segment. To visualize the heart motion on myocardial, ultrasound image is evaluated globally using a differential optical flow technique that recursively applied a set of multi scale ultrasound image. A set of multi scale images is generated using approximation channel of Haar wavelet decomposition. The method was validated and evaluated on the real ultrasound image sequences that were collected from several health and unhealthy volunteers based on the American Heart Association standardization. The method was also compared to other methods using the same of ultrasound images. The result using our proposed algorithm is more accurate than the other methods. The results of myocardial motion estimation are shown in needle view of motion field in all myocardial segments and according to the expert echocardiographic analyzing.

Original languageEnglish
Title of host publicationProceedings - CSPA 2010: 2010 6th International Colloquium on Signal Processing and Its Applications
DOIs
Publication statusPublished - 2010
Event2010 6th International Colloquium on Signal Processing and Its Applications, CSPA 2010 - Melaka
Duration: 21 May 201023 May 2010

Other

Other2010 6th International Colloquium on Signal Processing and Its Applications, CSPA 2010
CityMelaka
Period21/5/1023/5/10

Fingerprint

Wavelet decomposition
Optical flows
Ultrasonics
Motion estimation
Needles
Standardization
Visualization
Health
Motion analysis

Keywords

  • Multi scale
  • Myocardial
  • Optical flow
  • Wavelet decomposition

ASJC Scopus subject areas

  • Artificial Intelligence
  • Signal Processing
  • Control and Systems Engineering

Cite this

Saputro, A. H., Mustafa, M. M., Hussain, A., Maskon, O., & Nor, I. F. M. (2010). Myocardial motion analysis using optical flow and wavelet decomposition. In Proceedings - CSPA 2010: 2010 6th International Colloquium on Signal Processing and Its Applications [5545258] https://doi.org/10.1109/CSPA.2010.5545258

Myocardial motion analysis using optical flow and wavelet decomposition. / Saputro, Adhi Harmoko; Mustafa, Mohd. Marzuki; Hussain, Aini; Maskon, Oteh; Nor, Ika Faizura Mohd.

Proceedings - CSPA 2010: 2010 6th International Colloquium on Signal Processing and Its Applications. 2010. 5545258.

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

Saputro, AH, Mustafa, MM, Hussain, A, Maskon, O & Nor, IFM 2010, Myocardial motion analysis using optical flow and wavelet decomposition. in Proceedings - CSPA 2010: 2010 6th International Colloquium on Signal Processing and Its Applications., 5545258, 2010 6th International Colloquium on Signal Processing and Its Applications, CSPA 2010, Melaka, 21/5/10. https://doi.org/10.1109/CSPA.2010.5545258
Saputro AH, Mustafa MM, Hussain A, Maskon O, Nor IFM. Myocardial motion analysis using optical flow and wavelet decomposition. In Proceedings - CSPA 2010: 2010 6th International Colloquium on Signal Processing and Its Applications. 2010. 5545258 https://doi.org/10.1109/CSPA.2010.5545258
Saputro, Adhi Harmoko ; Mustafa, Mohd. Marzuki ; Hussain, Aini ; Maskon, Oteh ; Nor, Ika Faizura Mohd. / Myocardial motion analysis using optical flow and wavelet decomposition. Proceedings - CSPA 2010: 2010 6th International Colloquium on Signal Processing and Its Applications. 2010.
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