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

doi:10.1109/R10-HTC53172.2021.9641714

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

Department of Data Science and Computer Applications, Manipal Institute of Technology, Manipal
Department of Electronics and Communication Engineering, Manipal Institute of Technology, Manipal

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Proceedings of R10-HTC 2021
Subtitle of host publication	9th Edition of IEEE Region 10 Humanitarian Technology Conference
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665432405
DOIs	https://doi.org/10.1109/R10-HTC53172.2021.9641714
Publication status	Published - 2021
Event	9th Edition of IEEE Region 10 Humanitarian Technology Conference, R10-HTC 2021 - Bangalore, India Duration: 30-09-2021 → 02-10-2021

Publication series

Name	IEEE Region 10 Humanitarian Technology Conference, R10-HTC
Volume	2021-September
ISSN (Print)	2572-7621

Conference

Conference	9th Edition of IEEE Region 10 Humanitarian Technology Conference, R10-HTC 2021
Country/Territory	India
City	Bangalore
Period	30-09-21 → 02-10-21

All Science Journal Classification (ASJC) codes

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

UN SDGs

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

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10.1109/R10-HTC53172.2021.9641714

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Prabhu, P., Kotegar, K. A., Mariyappa, N., Anitha, H., Bhargava, G. K., Saini, J., & Sinha, S. (2021). Segmentation of Temporomandibular Condyle in MR images using Marker-Controlled Watershed and Random Walks. In Proceedings of R10-HTC 2021: 9th Edition of IEEE Region 10 Humanitarian Technology Conference (IEEE Region 10 Humanitarian Technology Conference, R10-HTC; Vol. 2021-September). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/R10-HTC53172.2021.9641714

Prabhu, Pooja ; Kotegar, Karunakar A. ; Mariyappa, N. et al. / Segmentation of Temporomandibular Condyle in MR images using Marker-Controlled Watershed and Random Walks. Proceedings of R10-HTC 2021: 9th Edition of IEEE Region 10 Humanitarian Technology Conference. Institute of Electrical and Electronics Engineers Inc., 2021. (IEEE Region 10 Humanitarian Technology Conference, R10-HTC).

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title = "Segmentation of Temporomandibular Condyle in MR images using Marker-Controlled Watershed and Random Walks",

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. ",

author = "Pooja Prabhu and Kotegar, {Karunakar A.} and N. Mariyappa and H. Anitha and Bhargava, {G. K.} and Jitender Saini and Sanjib Sinha",

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year = "2021",

doi = "10.1109/R10-HTC53172.2021.9641714",

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Prabhu, P, Kotegar, KA, Mariyappa, N, Anitha, H, Bhargava, GK, Saini, J & Sinha, S 2021, Segmentation of Temporomandibular Condyle in MR images using Marker-Controlled Watershed and Random Walks. in Proceedings of R10-HTC 2021: 9th Edition of IEEE Region 10 Humanitarian Technology Conference. IEEE Region 10 Humanitarian Technology Conference, R10-HTC, vol. 2021-September, Institute of Electrical and Electronics Engineers Inc., 9th Edition of IEEE Region 10 Humanitarian Technology Conference, R10-HTC 2021, Bangalore, India, 30-09-21. https://doi.org/10.1109/R10-HTC53172.2021.9641714

Segmentation of Temporomandibular Condyle in MR images using Marker-Controlled Watershed and Random Walks. / Prabhu, Pooja; Kotegar, Karunakar A.; Mariyappa, N. et al.
Proceedings of R10-HTC 2021: 9th Edition of IEEE Region 10 Humanitarian Technology Conference. Institute of Electrical and Electronics Engineers Inc., 2021. (IEEE Region 10 Humanitarian Technology Conference, R10-HTC; Vol. 2021-September).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Kotegar, Karunakar A.

AU - Mariyappa, N.

AU - Anitha, H.

AU - Bhargava, G. K.

AU - Saini, Jitender

AU - Sinha, Sanjib

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AB - 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.

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Prabhu P, Kotegar KA, Mariyappa N, Anitha H, Bhargava GK, Saini J et al. Segmentation of Temporomandibular Condyle in MR images using Marker-Controlled Watershed and Random Walks. In Proceedings of R10-HTC 2021: 9th Edition of IEEE Region 10 Humanitarian Technology Conference. Institute of Electrical and Electronics Engineers Inc. 2021. (IEEE Region 10 Humanitarian Technology Conference, R10-HTC). doi: 10.1109/R10-HTC53172.2021.9641714

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

Abstract

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All Science Journal Classification (ASJC) codes

UN SDGs

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