题名 | Segmentation of Bony Tissues from CBCT Images |
作者 | |
发表日期 | 2018 |
会议名称 | 23rd IEEE International Conference on Digital Signal Processing (DSP) |
会议录名称 | 2018 IEEE 23rd International Conference on Digital Signal Processing (DSP)
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ISBN | 9781538668115 |
会议日期 | NOV 19-21, 2018 |
会议地点 | Shanghai, China |
摘要 | 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. |
关键词 | CBCT segmentation space growing |
DOI | 10.1109/ICDSP.2018.8631804 |
URL | 查看来源 |
收录类别 | CPCI-S |
语种 | 英语English |
WOS研究方向 | Engineering |
WOS类目 | Engineering, Electrical & Electronic |
WOS记录号 | WOS:000458909600185 |
Scopus入藏号 | 2-s2.0-85062797811 |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | https://repository.uic.edu.cn/handle/39GCC9TT/6763 |
专题 | 个人在本单位外知识产出 |
作者单位 | Department of Electronic and Electrical Engineering,Southern University of Science and Technology,SUSTC,Shenzhen,China |
推荐引用方式 GB/T 7714 | He, Siyu,Shi, Hongjian. Segmentation of Bony Tissues from CBCT Images[C], 2018. |
条目包含的文件 | 条目无相关文件。 |
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