Title | Segmentation of Bony Tissues from CBCT Images |
Creator | |
Date Issued | 2018 |
Conference Name | 23rd IEEE International Conference on Digital Signal Processing (DSP) |
Source Publication | 2018 IEEE 23rd International Conference on Digital Signal Processing (DSP)
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ISBN | 9781538668115 |
Conference Date | NOV 19-21, 2018 |
Conference Place | Shanghai, China |
Abstract | A segmentation algorithm of the jawbones and spinal cords is developed from cone beam computed tomographic (CBCT) data sets. Our segmentation algorithm was tested on five CBCT data sets and compared with manual segmentation results. The jawbones are bony tissues consisting of the upper jaw and the lower mandible. The procedure is based on the intensity distribution and space growing to separate the jawbones and cervical spine from their neighboring tissues. The segmentation procedure is to grow and preserve the shapes of these bony tissues. The developed segmentation algorithm separated the jawbones and cervical spine successfully. The results were quite accurate comparable with those by hand. Further, the method was robust and efficient. |
Keyword | CBCT segmentation space growing |
DOI | 10.1109/ICDSP.2018.8631804 |
URL | View source |
Indexed By | CPCI-S |
Language | 英语English |
WOS Research Area | Engineering |
WOS Subject | Engineering, Electrical & Electronic |
WOS ID | WOS:000458909600185 |
Scopus ID | 2-s2.0-85062797811 |
Citation statistics |
Cited Times [WOS]:0
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Document Type | Conference paper |
Identifier | http://repository.uic.edu.cn/handle/39GCC9TT/6763 |
Collection | Research outside affiliated institution |
Affiliation | Department of Electronic and Electrical Engineering,Southern University of Science and Technology,SUSTC,Shenzhen,China |
Recommended Citation GB/T 7714 | He, Siyu,Shi, Hongjian. Segmentation of Bony Tissues from CBCT Images[C], 2018. |
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