Title | Automatic localization of condylar process centre based on generalized hough transform from CBCT images |
Creator | |
Date Issued | 2021 |
Conference Name | 2nd International Conference on Computer Vision and Data Mining (ICCVDM 2021) |
Source Publication | Journal of Physics: Conference Series
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ISSN | 1742-6588 |
Volume | 2024 |
Issue | 1 |
Conference Date | 20-22 August 2021 |
Conference Place | Changsha, China |
Abstract | Cone Beam Computed Tomography (CBCT) is a technique for capturing maxillofacial images that provide tissue views with low radiation doses. In this paper, we propose an automatic method to locate the centre of the mandibular condylar process in CBCT images. The bone edges of the condylar process are extracted to detect the mandibular ramus in each slice based on the generalized Hough Transform. We propose an upward region-growing method to segment the condylar and coracoid processes. The centre of the condylar process is then determined as the centre of the condylar region in the axial slice with the maximum condyle area. The centre located by the proposed method was compared with the centre manually located by two experts. Our results indicate that the proposed method can accurately locate the condylar process centre. |
DOI | 10.1088/1742-6596/2024/1/012007 |
URL | View source |
Language | 英语English |
Scopus ID | 2-s2.0-85116663073 |
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Document Type | Conference paper |
Identifier | http://repository.uic.edu.cn/handle/39GCC9TT/5961 |
Collection | Faculty of Science and Technology |
Affiliation | Division of Science and Technology,Beijing Normal University-Hong Kong Baptist University,United International College,Zhuhai,Guangdong,519087,China |
First Author Affilication | Beijing Normal-Hong Kong Baptist University |
Recommended Citation GB/T 7714 | Wang, Tingkang,Zhang, Songze,Shi, Hongjian. Automatic localization of condylar process centre based on generalized hough transform from CBCT images[C], 2021. |
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