Echocardiography image segmentation: A survey

Samaneh Mazaheri, Puteri Suhaiza Binti Sulaiman, Rahmita Wirza, Fatimah Khalid, Suhaini Kadiman, Mohd Zamrin Dimon, Rohollah Moosavi Tayebi

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

    10 Citations (Scopus)

    Abstract

    Segmentation is an important step in medical imaging to acquire qualitative measurements such as the location of the desired objects and also for quantitative measurements such as area, volume or the analysis of dynamic behaviour of anatomical structures over time. Among these images, ultrasound images play a crucial role, because they can be produced on video-rate and therefore allows a dynamic analysis of moving structures. In addition, the acquisition of these images is non-invasive, cheap, and does not require ionizing radiations compared to other medical imaging techniques. On the other hand, the automatic segmentation of anatomical structures in ultrasound imagery is a real challenge due to acoustic interferences (speckle noise) and artifacts which are inherent in these images. This paper surveys the literature often recent researches on echocardiography image segmentation methods, focusing on techniques developed for medical. First, we present a review of articles by clinical application to highlight the approaches that have been investigated and degree of validation that has been done in different clinical domains. Then, we present a classification of methodology in terms of use of prior information. We conclude by selecting ten recent papers which have presented original ideas that have demonstrated particular clinical usefulness or potential specific to the echocardiography segmentation problem. The contribution of the paper is in three ways: 1) to serve as a tutorial on the field for both clinicians and technologists, 2) to provide an extensive account of segmentation techniques in a comprehensive and systematic manner, and 3) to 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
    Title of host publicationProceedings - 2013 International Conference on Advanced Computer Science Applications and Technologies, ACSAT 2013
    PublisherIEEE Computer Society
    Pages327-332
    Number of pages6
    ISBN (Print)9781479927586
    DOIs
    Publication statusPublished - 2014
    Event2nd International Conference on Advanced Computer Science Applications and Technologies, ACSAT 2013 - Kuching, Sarawak
    Duration: 23 Dec 201324 Dec 2013

    Other

    Other2nd International Conference on Advanced Computer Science Applications and Technologies, ACSAT 2013
    CityKuching, Sarawak
    Period23/12/1324/12/13

    Fingerprint

    Echocardiography
    Medical imaging
    Image segmentation
    Ultrasonics
    Functional analysis
    Ionizing radiation
    Speckle
    Acoustic noise
    Dynamic analysis
    Acoustics
    Imaging techniques

    Keywords

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

    ASJC Scopus subject areas

    • Computer Science Applications

    Cite this

    Mazaheri, S., Sulaiman, P. S. B., Wirza, R., Khalid, F., Kadiman, S., Dimon, M. Z., & Tayebi, R. M. (2014). Echocardiography image segmentation: A survey. In Proceedings - 2013 International Conference on Advanced Computer Science Applications and Technologies, ACSAT 2013 (pp. 327-332). [6836600] IEEE Computer Society. https://doi.org/10.1109/ACSAT.2013.71

    Echocardiography image segmentation : A survey. / Mazaheri, Samaneh; Sulaiman, Puteri Suhaiza Binti; Wirza, Rahmita; Khalid, Fatimah; Kadiman, Suhaini; Dimon, Mohd Zamrin; Tayebi, Rohollah Moosavi.

    Proceedings - 2013 International Conference on Advanced Computer Science Applications and Technologies, ACSAT 2013. IEEE Computer Society, 2014. p. 327-332 6836600.

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

    Mazaheri, S, Sulaiman, PSB, Wirza, R, Khalid, F, Kadiman, S, Dimon, MZ & Tayebi, RM 2014, Echocardiography image segmentation: A survey. in Proceedings - 2013 International Conference on Advanced Computer Science Applications and Technologies, ACSAT 2013., 6836600, IEEE Computer Society, pp. 327-332, 2nd International Conference on Advanced Computer Science Applications and Technologies, ACSAT 2013, Kuching, Sarawak, 23/12/13. https://doi.org/10.1109/ACSAT.2013.71
    Mazaheri S, Sulaiman PSB, Wirza R, Khalid F, Kadiman S, Dimon MZ et al. Echocardiography image segmentation: A survey. In Proceedings - 2013 International Conference on Advanced Computer Science Applications and Technologies, ACSAT 2013. IEEE Computer Society. 2014. p. 327-332. 6836600 https://doi.org/10.1109/ACSAT.2013.71
    Mazaheri, Samaneh ; Sulaiman, Puteri Suhaiza Binti ; Wirza, Rahmita ; Khalid, Fatimah ; Kadiman, Suhaini ; Dimon, Mohd Zamrin ; Tayebi, Rohollah Moosavi. / Echocardiography image segmentation : A survey. Proceedings - 2013 International Conference on Advanced Computer Science Applications and Technologies, ACSAT 2013. IEEE Computer Society, 2014. pp. 327-332
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