Methodology to determine important-points location for automated lumbar spine stenosis diagnosis procedure

Friska Natalia, Hira Meidia, Nunik Afriliana, Ala Al-Kafri, Sud Sudirman

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

    Abstract

    Chronic Lower Back Pain (CLBP) is one of the major types of pain that is affecting many people around the world. Lumbar Spine Stenosis (LSS), a major cause of CLBP, requires experienced neuroradiologists to detect and diagnose. It has been reported that the number of MRI examinations around the world is increasing but the number of specialist neuroradiologists to examine and analyse them has not. This paper presents a continuation of our methodology to automatically detect the presence of LSS by analyzing lumbar spine MRI images. It details important points location-determination algorithm that can be further processed in the LSS diagnosis procedure. We use the results of our, previously developed, boundary delineation method to supply boundary points to the algorithm. The algorithm is applied to the best cut axial-view images of the intervertebral discs of 515 patients contained in the Lumbar Spine MRI dataset. The results of the important points locations are presented.
    Original languageEnglish
    Title of host publicationACM International Conference Proceeding Series
    PublisherAssociation for Computing Machinery
    Pages53-57
    Number of pages5
    ISBN (Print)9781450372862
    DOIs
    Publication statusPublished - 1 Jul 2019
    Event2019 International Conference on Intelligent Medicine and Health - Ningbo, China
    Duration: 1 Jul 20193 Jul 2019

    Publication series

    NameACM International Conference Proceeding Series

    Conference

    Conference2019 International Conference on Intelligent Medicine and Health
    Abbreviated titleICIMH 2019
    CountryChina
    CityNingbo
    Period1/07/193/07/19

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  • Cite this

    Natalia, F., Meidia, H., Afriliana, N., Al-Kafri, A., & Sudirman, S. (2019). Methodology to determine important-points location for automated lumbar spine stenosis diagnosis procedure. In ACM International Conference Proceeding Series (pp. 53-57). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3348416.3348426