Segmentation methods of echocardiography images for left ventricle boundary detection

Samaneh Mazaheri, Rahmita Wirza, Puteri Suhaiza Sulaiman, Mohd Zamrin Dimon, Fatima Khalid, Rohollah Moosavi Tayebi

    Research output: Contribution to journalArticle

    3 Citations (Scopus)

    Abstract

    Due to acoustic interferences and artifacts which are inherent in echocardiography images, automatic segmentation of anatomical structures in cardiac ultrasound images is a real challenge. This paper surveys stateof- the-art researches on echocardiography data segmentation methods, concentrating on methods techniques developed for clinical data. We present a classification of methodologies for echocardiography image segmentation. By choosing ten recent papers which have proposed innovative ideas that they proved certain clinical advantages or potential especial role to the echocardiography segmentation task. The contribution of the paper would be serving as a tutorial of the field for both clinicians and technologists, providing large number of segmentation techniques in a comprehensive and systematic manner and critically review recent approaches in terms of their performance and degree of clinical evaluation with respect to the final goal of cardiac functional analysis.

    Original languageEnglish
    Pages (from-to)957-970
    Number of pages14
    JournalJournal of Computer Science
    Volume11
    Issue number9
    DOIs
    Publication statusPublished - 2015

    Fingerprint

    Echocardiography
    Functional analysis
    Image segmentation
    Ultrasonics
    Acoustics

    Keywords

    • Active contours methods
    • Deformable templates
    • Echocardiography
    • Level set (LS) Approaches
    • Segmentation

    ASJC Scopus subject areas

    • Software
    • Computer Networks and Communications
    • Artificial Intelligence

    Cite this

    Mazaheri, S., Wirza, R., Sulaiman, P. S., Dimon, M. Z., Khalid, F., & Tayebi, R. M. (2015). Segmentation methods of echocardiography images for left ventricle boundary detection. Journal of Computer Science, 11(9), 957-970. https://doi.org/10.3844/jcssp.2015.957.970

    Segmentation methods of echocardiography images for left ventricle boundary detection. / Mazaheri, Samaneh; Wirza, Rahmita; Sulaiman, Puteri Suhaiza; Dimon, Mohd Zamrin; Khalid, Fatima; Tayebi, Rohollah Moosavi.

    In: Journal of Computer Science, Vol. 11, No. 9, 2015, p. 957-970.

    Research output: Contribution to journalArticle

    Mazaheri, S, Wirza, R, Sulaiman, PS, Dimon, MZ, Khalid, F & Tayebi, RM 2015, 'Segmentation methods of echocardiography images for left ventricle boundary detection', Journal of Computer Science, vol. 11, no. 9, pp. 957-970. https://doi.org/10.3844/jcssp.2015.957.970
    Mazaheri, Samaneh ; Wirza, Rahmita ; Sulaiman, Puteri Suhaiza ; Dimon, Mohd Zamrin ; Khalid, Fatima ; Tayebi, Rohollah Moosavi. / Segmentation methods of echocardiography images for left ventricle boundary detection. In: Journal of Computer Science. 2015 ; Vol. 11, No. 9. pp. 957-970.
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    AU - Khalid, Fatima

    AU - Tayebi, Rohollah Moosavi

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