科研成果详情

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)
ISBN9781538668115
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
DOI10.1109/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.
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