Enhanced endocardial boundary detection in echocardiography images using B-spline and statistical method

Research output: Contribution to journalArticle

Abstract

Extraction of endocardial motion is important to provide more accurate myocardial motion for further cardiac image analysis. This process involves endocardial detection which is challenging due to the presence of speckle noise and discontinuities of endocardial boundary. Researchers actively investigate various approaches to perform endocardial detection even though they involve extensive computations task and time consuming. In this paper, we implement a basic edge map detection using gradient and cavity-center-based method to detect the endocardial boundary. This method produces a boundary which still has discontinuities and outlier coordinates. To enhance the boundary, we propose a method based on a B-Spline and statistical approach to remove the discontinous points along the endocardium on parasternal short axis view of cardiac. The proposed method produces results which give visual evidences that it is able to significantly enhance the endocardial boundary.

Original languageEnglish
Pages (from-to)1876-1880
Number of pages5
JournalAdvanced Science Letters
Volume20
Issue number10-12
DOIs
Publication statusPublished - 2014

Fingerprint

Echocardiography
Boundary Detection
Speckle
statistical method
B-spline
Splines
Statistical method
Image analysis
Statistical methods
Cardiac
Discontinuity
discontinuity
Endocardium
Speckle Noise
Motion
speckle
outlier
Image Analysis
image analysis
Research Personnel

Keywords

  • B-Spline
  • Discontinuity
  • Echocardiography images
  • Endocardial boundary
  • Statistical method

ASJC Scopus subject areas

  • Engineering(all)
  • Environmental Science(all)
  • Computer Science(all)
  • Energy(all)
  • Mathematics(all)
  • Health(social science)
  • Education

Cite this

Enhanced endocardial boundary detection in echocardiography images using B-spline and statistical method. / Riyadi, Slamet; Mustafa, Mohd. Marzuki; Hussain, Aini.

In: Advanced Science Letters, Vol. 20, No. 10-12, 2014, p. 1876-1880.

Research output: Contribution to journalArticle

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