Automatic boundary detection of wall motion in two-dimensional echocardiography images

Faten Abed Ali Dawood, Rahmita Wirza Rahmat, Mohd Zamrin Dimon, Lili Nurliyana, Suhaini Bin Kadiman

    Research output: Contribution to journalArticle

    6 Citations (Scopus)

    Abstract

    Problem statement: Medical image analysis is a particularly difficult problem because the inherent characteristics of these images, including low contrast, speckle noise, signal dropouts and complex anatomical structures. An accurate analysis of wall motion in Two-dimensional echocardiography images is "important clinical diagnosis parameter for many cardiovascular diseases". A challenge most researchers faced is how to speed up the clinical decisions and reduce human error of estimating accurately the true wall movements boundaries if can be done automatically will be a useful tool for assessing these diseases qualitatively and quantitatively. Approach: The proposed method involves three stages: First, the pre-processing stage for image contrast enhancement to reduce speckle-noise and to highlight certain features of interest (i.e., myocardial tissue). In the second stage, we applied the segmentation process using thresholding technique by considering a mean value of pixels intensity as a threshold value to distinct image features (e.g., Background and object). After thresholding implementation, the two most common mathematical morphology operators 'erosion' and 'dilation' are applied to improve the efficiency of the wall boundary detection process. Finally, Robert's operator is used as edge detector to identify the wall boundaries. Results: For accuracy measurement, the experimental results of the proposed method are compared to that obtained from medical QLab system qualitatively and quantitatively. Conclusion: The results showed that our proposed method is reliable and its performance accuracy percentages are 50% more acceptable and 42% better than QLab system results.

    Original languageEnglish
    Pages (from-to)1261-1266
    Number of pages6
    JournalJournal of Computer Science
    Volume7
    Issue number8
    DOIs
    Publication statusPublished - 2011

    Fingerprint

    Echocardiography
    Speckle
    Mathematical morphology
    Medical problems
    Image analysis
    Mathematical operators
    Erosion
    Pixels
    Tissue
    Detectors
    Processing

    Keywords

    • Boundary detection process
    • Echocardiography image
    • Edge detection
    • Mathematical morphology operators
    • Proposed method
    • Qlab system
    • Robert's operator
    • Semi-automatic algorithm
    • Threshold value
    • Wall motion

    ASJC Scopus subject areas

    • Software
    • Computer Networks and Communications
    • Artificial Intelligence

    Cite this

    Dawood, F. A. A., Rahmat, R. W., Dimon, M. Z., Nurliyana, L., & Kadiman, S. B. (2011). Automatic boundary detection of wall motion in two-dimensional echocardiography images. Journal of Computer Science, 7(8), 1261-1266. https://doi.org/10.3844/jcssp.2011.1261.1266

    Automatic boundary detection of wall motion in two-dimensional echocardiography images. / Dawood, Faten Abed Ali; Rahmat, Rahmita Wirza; Dimon, Mohd Zamrin; Nurliyana, Lili; Kadiman, Suhaini Bin.

    In: Journal of Computer Science, Vol. 7, No. 8, 2011, p. 1261-1266.

    Research output: Contribution to journalArticle

    Dawood, FAA, Rahmat, RW, Dimon, MZ, Nurliyana, L & Kadiman, SB 2011, 'Automatic boundary detection of wall motion in two-dimensional echocardiography images', Journal of Computer Science, vol. 7, no. 8, pp. 1261-1266. https://doi.org/10.3844/jcssp.2011.1261.1266
    Dawood, Faten Abed Ali ; Rahmat, Rahmita Wirza ; Dimon, Mohd Zamrin ; Nurliyana, Lili ; Kadiman, Suhaini Bin. / Automatic boundary detection of wall motion in two-dimensional echocardiography images. In: Journal of Computer Science. 2011 ; Vol. 7, No. 8. pp. 1261-1266.
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