Automatic design and 3D segmentation of mandible bone using CNN algorithm via exclusive GUI
Nowadays scientists are looking for decreasing dental faults by presenting new approaches.It is obvious that comprehensive information about the anatomic position of the inferior alveolar neuralcanal is essential to have the most ideal mandible surgery or systemic tooth implant. Accordingly, weprese...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Islamic Azad University, Tabriz Branch
2024-02-01
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| Series: | International Journal of Biophotonics and Biomedical Engineering |
| Subjects: | |
| Online Access: | https://ijbbo.tabriz.iau.ir/article_709650_be9f24fc2982f384b5e945a560f92b43.pdf |
| _version_ | 1827356722858033152 |
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| author | Nadia MehradKia Shakiba Mohammadi Sayedali Mousavi |
| author_facet | Nadia MehradKia Shakiba Mohammadi Sayedali Mousavi |
| author_sort | Nadia MehradKia |
| collection | DOAJ |
| description | Nowadays scientists are looking for decreasing dental faults by presenting new approaches.It is obvious that comprehensive information about the anatomic position of the inferior alveolar neuralcanal is essential to have the most ideal mandible surgery or systemic tooth implant. Accordingly, wepresent a new approach in this article that can be used to have 3D segmentation and recognition of thementioned canal in mandible by CBCT image. This approach includes two main steps. In the first step,we train a full convolutional 3D net (FCN) to reach the ability of section recognition, which can recognizethe relevant area of mandible bone. And in the next step, we define a 3D U-net, which is similar to FCN,to segment the inferior Alveolar neural (IAN) canal from the lower jaw. Evaluated on publicly availabledatasets, our method achieved an average Dice coefficient of 86.61%. |
| first_indexed | 2024-03-08T05:13:08Z |
| format | Article |
| id | doaj.art-5b72b1beb61447029852ce020969e1d9 |
| institution | Directory Open Access Journal |
| issn | 2980-9037 |
| language | English |
| last_indexed | 2024-03-08T05:13:08Z |
| publishDate | 2024-02-01 |
| publisher | Islamic Azad University, Tabriz Branch |
| record_format | Article |
| series | International Journal of Biophotonics and Biomedical Engineering |
| spelling | doaj.art-5b72b1beb61447029852ce020969e1d92024-02-07T04:55:35ZengIslamic Azad University, Tabriz BranchInternational Journal of Biophotonics and Biomedical Engineering2980-90372024-02-0132435010.30495/ijbbe.2024.1997685.1037709650Automatic design and 3D segmentation of mandible bone using CNN algorithm via exclusive GUINadia MehradKia0Shakiba Mohammadi1Sayedali Mousavi2Department of Mechanical Engineering, Najafabad Branch, Islamic Azad University, Isfahan, Iran.Department of Mechanical Engineering, Najafabad Branch, Islamic Azad University, Isfahan, Iran.Department of Mechanical Engineering, Najafabad Branch, Islamic Azad University, Isfahan, Iran.Nowadays scientists are looking for decreasing dental faults by presenting new approaches.It is obvious that comprehensive information about the anatomic position of the inferior alveolar neuralcanal is essential to have the most ideal mandible surgery or systemic tooth implant. Accordingly, wepresent a new approach in this article that can be used to have 3D segmentation and recognition of thementioned canal in mandible by CBCT image. This approach includes two main steps. In the first step,we train a full convolutional 3D net (FCN) to reach the ability of section recognition, which can recognizethe relevant area of mandible bone. And in the next step, we define a 3D U-net, which is similar to FCN,to segment the inferior Alveolar neural (IAN) canal from the lower jaw. Evaluated on publicly availabledatasets, our method achieved an average Dice coefficient of 86.61%.https://ijbbo.tabriz.iau.ir/article_709650_be9f24fc2982f384b5e945a560f92b43.pdfalveolar neural canalcbctfcnmandiblesegmentationu-net |
| spellingShingle | Nadia MehradKia Shakiba Mohammadi Sayedali Mousavi Automatic design and 3D segmentation of mandible bone using CNN algorithm via exclusive GUI International Journal of Biophotonics and Biomedical Engineering alveolar neural canal cbct fcn mandible segmentation u-net |
| title | Automatic design and 3D segmentation of mandible bone using CNN algorithm via exclusive GUI |
| title_full | Automatic design and 3D segmentation of mandible bone using CNN algorithm via exclusive GUI |
| title_fullStr | Automatic design and 3D segmentation of mandible bone using CNN algorithm via exclusive GUI |
| title_full_unstemmed | Automatic design and 3D segmentation of mandible bone using CNN algorithm via exclusive GUI |
| title_short | Automatic design and 3D segmentation of mandible bone using CNN algorithm via exclusive GUI |
| title_sort | automatic design and 3d segmentation of mandible bone using cnn algorithm via exclusive gui |
| topic | alveolar neural canal cbct fcn mandible segmentation u-net |
| url | https://ijbbo.tabriz.iau.ir/article_709650_be9f24fc2982f384b5e945a560f92b43.pdf |
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