• DocumentCode
    1789470
  • Title

    Teeth segmentation using dental CT data

  • Author

    Zhanli Hu ; Wu, P.Z. ; Jianbao Gui ; Yao Chen ; Hairong Zheng

  • Author_Institution
    Paul Lauterbur Center for Biomed. Imaging Res., Shenzhen Inst. of Adv. Technol., Shenzhen, China
  • fYear
    2014
  • fDate
    14-16 Oct. 2014
  • Firstpage
    81
  • Lastpage
    84
  • Abstract
    Cone-beam dental computerized tomography has been introduced as a system geared towards maxillofacial imaging, which is gradually becoming a common tool within the dental industry. Segmentation of teeth from dental CT data is vital for a variety of computer-aided procedures such as dental implants, orthodontic planning and cosmetic surgeries. Teeth segmentations near soft tissue structures can help clinicians to assess the quality of a patient´s teeth more easily. Moreover, the ability to identify particular regions surrounding teeth can help to provide better image results generated using 3D surface/volume rendering techniques. This paper, presents an experimental study for teeth segmentation employing two different thresholding techniques. The performances of these techniques are compared with each other. The experimental results show that there is a noticeable difference in segmentation quality between the two methods presented in this paper.
  • Keywords
    biological tissues; computerised tomography; dentistry; image segmentation; medical image processing; 3D surface-volume rendering techniques; computer-aided procedures; cone-beam dental computerized tomography; cosmetic surgeries; dental CT data; dental implants; dental industry; maxillofacial imaging; orthodontic planning; patient teeth; segmentation quality; soft tissue structures; teeth segmentation; Computed tomography; Dentistry; Image segmentation; Level set; Remote sensing; Teeth; dental CT; thresholding; tooth segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering and Informatics (BMEI), 2014 7th International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4799-5837-5
  • Type

    conf

  • DOI
    10.1109/BMEI.2014.7002747
  • Filename
    7002747