IADR Abstract Archives

Tooth Axis Calculation From CT Images

Objectives: The tooth axis is needed for the navigation of dental implant. Currently, it is mainly determined by dentists manually, which is subjective and tedious. This study aimed to develop an automatic method for the calculation of tooth axis from dental CT images.
Methods: To calculate the axes of teeth with single-root, the three-dimensional (3D) dental pulps are segmented from the volumetric CT images using region growing algorithm. The corresponding axes are then calculated from the pulp region using the principal components analysis (PCA). To calculate the axes of molars with multi-root whose pulp boundaries are not clear in the branches of roots, a two-dimensional (2D) panoramic radiograph is synthesized by projecting the volumetric images along the perpendicular direction of the dental arch. Each 2D molar region is then extracted from the panoramic radiograph using region growing algorithm, and 2D axes in the panoramic radiograph are calculated from the extracted region by combing PCA and symmetry axes detection. For each molar, a 2D projection image is synthesized by projecting 3D local images along the mesial-distal direction. 2D axes in the planes of the projection images are then calculated using the same method as in the panoramic radiograph. The corresponding two 2D axes of each molar are used to obtain a 3D molar axis. CT images of 10 subjects were used to test the developed method. Three dentists were required to qualitatively judge whether each calculated tooth axis is accurate enough for the application of dental implant.
Results: All the calculated tooth axes were judged to be accurate enough for the application of dental implant.
Conclusions: The presented axis calculation methods for single-root tooth and multi-root molar are effective to extract the tooth axis from dental CT images.
Division: IADR/APR General Session
Meeting: 2016 IADR/APR General Session (Seoul, Korea)
Location: Seoul, Korea
Year: 2016
Final Presentation ID: 0974
Abstract Category|Abstract Category(s): Diagnostic Sciences
Authors
  • Zhang, Dongxia  ( Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences , Shenzhen , Guangdong , China ;  Harbin Institute of Technology Shenzhen Graduate School , Shenzhen , China )
  • Xia, Zeyang  ( Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences , Shenzhen , Guangdong , China ;  Key Laboratory of Human-Machine Intelligence-Synergy Systems of Chinese Academy of Sciences , Shenzhen , China )
  • Gan, Yangzhou  ( Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences , Shenzhen , Guangdong , China ;  Key Laboratory of Human-Machine Intelligence-Synergy Systems of Chinese Academy of Sciences , Shenzhen , China )
  • Xiong, Jing  ( Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences , Shenzhen , Guangdong , China )
  • Tan, Jiali  ( Guanghua School of Stomatology, Sun yat-sen University , Guangzhou , Guangdong , China )
  • Support Funding Agency/Grant Number: This work was funded by Guangdong Natural Science Funds for Distinguished Young Scholar (No. 2015A030306020) and Shenzhen High-level Oversea Talent Program (Peacock Plan) (No. KQCX20130628112914284).
    Financial Interest Disclosure: NONE
    SESSION INFORMATION
    Oral Session
    Diagnostic Sciences II
    Friday, 06/24/2016 , 10:45AM - 12:15PM
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