• DocumentCode
    3211126
  • Title

    Automatic dental arch detection and panoramic image synthesis from CT images

  • Author

    Sa-ing, Vera ; Wangkaoom, Kongyot ; Thongvigitmanee, Saowapak S.

  • Author_Institution
    Nat. Electron. & Comput. Technol. Center, Image Technol. Lab., Thailand
  • fYear
    2013
  • fDate
    3-7 July 2013
  • Firstpage
    6099
  • Lastpage
    6102
  • Abstract
    Due to accurate 3D information, computed tomography (CT), especially cone-beam CT or dental CT, has been widely used for diagnosis and treatment planning in dentistry. Axial images acquired from both medical and dental CT scanners can generate synthetic panoramic images similar to typical 2D panoramic radiographs. However, the conventional way to reconstruct the simulated panoramic images is to manually draw the dental arch on axial images. In this paper, we propose a new fast algorithm for automatic detection of the dental arch. Once the dental arch is computed, a series of synthetic panoramic images as well as a ray-sum panoramic image can be automatically generated. We have tested the proposed algorithm on 120 CT axial images and all of them can provide the decent estimate of the dental arch. The results show that our proposed algorithm can mostly detect the correct dental arch.
  • Keywords
    computerised tomography; dentistry; image reconstruction; medical image processing; patient treatment; 3D information; CT axial images; automatic dental arch detection; automatic detection; computed tomography; cone-beam CT images; dental CT scanners; fast algorithm; medical CT scanners; panoramic image reconstruction; panoramic image synthesis; patient diagnosis; ray-sum panoramic image; treatment planning; typical 2D panoramic radiographs; Computed tomography; Curve fitting; Dentistry; Filling; Signal processing algorithms; Teeth; X-ray imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
  • Conference_Location
    Osaka
  • ISSN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2013.6610944
  • Filename
    6610944