Coronary artery segmentation in angiograms with pattern recognition techniques - A survey

Rohollah Moosavi Tayebi, Puteri Suhaiza Binti Sulaiman, Rahmita Wirza, Mohd Zamrin Dimon, Suhaini Kadiman, Lilly Nurliyana Binti Abdullah, Samaneh Mazaheri

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

    14 Citations (Scopus)

    Abstract

    Medical image processing is nowadays one of the best tools to make an informative model from a raw image of each part of the body, and segmentation is the most important step in which used to extract significant features. Coronary artery segmentation algorithm in angiograms is a fundamental component of each cardiac image processing system. There are lots of techniques and algorithms proposed for extracting coronary arteries in angiograms. But based on our knowledge, there is not any review paper to categorize and compare them together. In this paper, we have divided these algorithms into five major classes and propose a survey for the main class, pattern recognition, which is a famous technique in this manner. We studied all the papers in the pattern recognition class and defined six categories for them: (1) Multi scale approaches (2) Region growing approaches (3) Matching filters approaches (4) Mathematical morphology approaches (5) Skeleton based approaches and (6) Ridge based approaches. Finally, we made a table to compare all the algorithms in each category against criteria such as: user interaction, angiography types, dimensionality, enhancement method, full coronary artery output, whole tree output, and 3D reconstruction ability.

    Original languageEnglish
    Title of host publicationProceedings - 2013 International Conference on Advanced Computer Science Applications and Technologies, ACSAT 2013
    PublisherIEEE Computer Society
    Pages321-326
    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

    Pattern recognition
    Medical image processing
    Mathematical morphology
    Angiography
    Image processing

    Keywords

    • Angiogram
    • Coronary artery segmentation
    • Image segmentation
    • Medical image processing
    • Pattern recognition
    • Survey

    ASJC Scopus subject areas

    • Computer Science Applications

    Cite this

    Tayebi, R. M., Sulaiman, P. S. B., Wirza, R., Dimon, M. Z., Kadiman, S., Abdullah, L. N. B., & Mazaheri, S. (2014). Coronary artery segmentation in angiograms with pattern recognition techniques - A survey. In Proceedings - 2013 International Conference on Advanced Computer Science Applications and Technologies, ACSAT 2013 (pp. 321-326). [6836599] IEEE Computer Society. https://doi.org/10.1109/ACSAT.2013.70

    Coronary artery segmentation in angiograms with pattern recognition techniques - A survey. / Tayebi, Rohollah Moosavi; Sulaiman, Puteri Suhaiza Binti; Wirza, Rahmita; Dimon, Mohd Zamrin; Kadiman, Suhaini; Abdullah, Lilly Nurliyana Binti; Mazaheri, Samaneh.

    Proceedings - 2013 International Conference on Advanced Computer Science Applications and Technologies, ACSAT 2013. IEEE Computer Society, 2014. p. 321-326 6836599.

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

    Tayebi, RM, Sulaiman, PSB, Wirza, R, Dimon, MZ, Kadiman, S, Abdullah, LNB & Mazaheri, S 2014, Coronary artery segmentation in angiograms with pattern recognition techniques - A survey. in Proceedings - 2013 International Conference on Advanced Computer Science Applications and Technologies, ACSAT 2013., 6836599, IEEE Computer Society, pp. 321-326, 2nd International Conference on Advanced Computer Science Applications and Technologies, ACSAT 2013, Kuching, Sarawak, 23/12/13. https://doi.org/10.1109/ACSAT.2013.70
    Tayebi RM, Sulaiman PSB, Wirza R, Dimon MZ, Kadiman S, Abdullah LNB et al. Coronary artery segmentation in angiograms with pattern recognition techniques - A survey. In Proceedings - 2013 International Conference on Advanced Computer Science Applications and Technologies, ACSAT 2013. IEEE Computer Society. 2014. p. 321-326. 6836599 https://doi.org/10.1109/ACSAT.2013.70
    Tayebi, Rohollah Moosavi ; Sulaiman, Puteri Suhaiza Binti ; Wirza, Rahmita ; Dimon, Mohd Zamrin ; Kadiman, Suhaini ; Abdullah, Lilly Nurliyana Binti ; Mazaheri, Samaneh. / Coronary artery segmentation in angiograms with pattern recognition techniques - A survey. Proceedings - 2013 International Conference on Advanced Computer Science Applications and Technologies, ACSAT 2013. IEEE Computer Society, 2014. pp. 321-326
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