New Method for Analysis of the Temporomandibular Joint Using Cone Beam Computed Tomography
Modern dentistry commonly uses a variety of imaging methods to support diagnosis and treatment. Among them, cone beam computed tomography (CBCT) is particularly useful in presenting head structures, such as the temporomandibular joint (TMJ). The determination of the morphology of the joint is an imp...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-04-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/21/9/3070 |
| _version_ | 1797536005063966720 |
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| author | Sebastian Iwaszenko Jakub Munk Stefan Baron Adam Smoliński |
| author_facet | Sebastian Iwaszenko Jakub Munk Stefan Baron Adam Smoliński |
| author_sort | Sebastian Iwaszenko |
| collection | DOAJ |
| description | Modern dentistry commonly uses a variety of imaging methods to support diagnosis and treatment. Among them, cone beam computed tomography (CBCT) is particularly useful in presenting head structures, such as the temporomandibular joint (TMJ). The determination of the morphology of the joint is an important part of the diagnosis as well as the monitoring of the treatment results. It can be accomplished by measurement of the TMJ gap width at three selected places, taken at a specific cross-section. This study presents a new approach to these measurements. First, the CBCT images are denoised using curvilinear methods, and the volume of interest is determined. Then, the orientation of the vertical cross-section plane is computed based on segmented axial sections of the TMJ head. Finally, the cross-section plane is used to determine the standardized locations, at which the width of the gap between condyle and fossa is measured. The elaborated method was tested on selected TMJ CBCT scans with satisfactory results. The proposed solution lays the basis for the development of an autonomous method of TMJ index identification. |
| first_indexed | 2024-03-10T11:53:26Z |
| format | Article |
| id | doaj.art-cd719095ca5440f6b358c2c5a8676ce1 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T11:53:26Z |
| publishDate | 2021-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-cd719095ca5440f6b358c2c5a8676ce12023-11-21T17:34:25ZengMDPI AGSensors1424-82202021-04-01219307010.3390/s21093070New Method for Analysis of the Temporomandibular Joint Using Cone Beam Computed TomographySebastian Iwaszenko0Jakub Munk1Stefan Baron2Adam Smoliński3GIG Research Institute, 40-166 Katowice, PolandDepartment of Temporomandibular Disorders, Medical University of Silesia, 41-800 Zabrze, PolandDepartment of Temporomandibular Disorders, Medical University of Silesia, 41-800 Zabrze, PolandGIG Research Institute, 40-166 Katowice, PolandModern dentistry commonly uses a variety of imaging methods to support diagnosis and treatment. Among them, cone beam computed tomography (CBCT) is particularly useful in presenting head structures, such as the temporomandibular joint (TMJ). The determination of the morphology of the joint is an important part of the diagnosis as well as the monitoring of the treatment results. It can be accomplished by measurement of the TMJ gap width at three selected places, taken at a specific cross-section. This study presents a new approach to these measurements. First, the CBCT images are denoised using curvilinear methods, and the volume of interest is determined. Then, the orientation of the vertical cross-section plane is computed based on segmented axial sections of the TMJ head. Finally, the cross-section plane is used to determine the standardized locations, at which the width of the gap between condyle and fossa is measured. The elaborated method was tested on selected TMJ CBCT scans with satisfactory results. The proposed solution lays the basis for the development of an autonomous method of TMJ index identification.https://www.mdpi.com/1424-8220/21/9/3070cone-beam computerized tomographytemporomandibular jointtemporomandibular disorderssoft tissue thicknessimage processingimage analysis |
| spellingShingle | Sebastian Iwaszenko Jakub Munk Stefan Baron Adam Smoliński New Method for Analysis of the Temporomandibular Joint Using Cone Beam Computed Tomography Sensors cone-beam computerized tomography temporomandibular joint temporomandibular disorders soft tissue thickness image processing image analysis |
| title | New Method for Analysis of the Temporomandibular Joint Using Cone Beam Computed Tomography |
| title_full | New Method for Analysis of the Temporomandibular Joint Using Cone Beam Computed Tomography |
| title_fullStr | New Method for Analysis of the Temporomandibular Joint Using Cone Beam Computed Tomography |
| title_full_unstemmed | New Method for Analysis of the Temporomandibular Joint Using Cone Beam Computed Tomography |
| title_short | New Method for Analysis of the Temporomandibular Joint Using Cone Beam Computed Tomography |
| title_sort | new method for analysis of the temporomandibular joint using cone beam computed tomography |
| topic | cone-beam computerized tomography temporomandibular joint temporomandibular disorders soft tissue thickness image processing image analysis |
| url | https://www.mdpi.com/1424-8220/21/9/3070 |
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