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

Pooja Prabhu, Karunakar A. Kotegar, N. Mariyappa, H. Anitha, G. K. Bhargava, Jitender Saini, Sanjib Sinha

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

1 Citation (Scopus)

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

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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