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Segmentation of Temporomandibular Condyle in MR images using Marker-Controlled Watershed and Random Walks

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

    Abstract

    One of the most complex joints in the human body is the temporomandibular joint (TMJ), which connects the mandible and the skull's temporal bone. The two main structures of TMJ are mandibular condyles and the articular disc. Around 28% of the population is affected by TMJ dysfunction. The leading cause of TMJ dysfunction is due to internal derangement of the condyle and disc. In current scenarios, magnetic resonance imaging (MRI) is an imaging technique used in diagnosing TMJ dysfunction. The clinician must visually investigate the derangement of condyle with a disc which can lead to subjective error. This study focuses on segmenting the TMJ condyle using two image processing techniques like marker-controlled watershed segmentation and Random walks. These techniques segment the TMJ from MR images in sagittal orientation, even when the MR images are corrupted due to noise.

    Original languageEnglish
    Title of host publicationProceedings of R10-HTC 2021
    Subtitle of host publication9th Edition of IEEE Region 10 Humanitarian Technology Conference
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781665432405
    DOIs
    Publication statusPublished - 2021
    Event9th Edition of IEEE Region 10 Humanitarian Technology Conference, R10-HTC 2021 - Bangalore, India
    Duration: 30-09-202102-10-2021

    Publication series

    NameIEEE Region 10 Humanitarian Technology Conference, R10-HTC
    Volume2021-September
    ISSN (Print)2572-7621

    Conference

    Conference9th Edition of IEEE Region 10 Humanitarian Technology Conference, R10-HTC 2021
    Country/TerritoryIndia
    CityBangalore
    Period30-09-2102-10-21

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 7 - Affordable and Clean Energy
      SDG 7 Affordable and Clean Energy

    All Science Journal Classification (ASJC) codes

    • Waste Management and Disposal
    • Development
    • Geography, Planning and Development
    • Pollution
    • Renewable Energy, Sustainability and the Environment
    • Environmental Engineering

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