Automatic tooth roots segmentation of cone beam computed tomography image sequences using U-net and RNN.

Journal: Journal of X-ray science and technology
PMID: 32986647

Abstract

BACKGROUND: Automatic segmentation of individual tooth root is a key technology for the reconstruction of the three-dimensional dental model from Cone Beam Computed Tomography (CBCT) images, which is of great significance for the orthodontic, implant and other dental diagnosis and treatment planning.

Authors

  • Qingqing Li
    Department of Radiology, Suzhou Wuzhong People's Hospital, Suzhou, Jiangsu, China.
  • Ke Chen
    Department of Signal Processing, Tampere University of Technology, Finland.
  • Lin Han
    Department of Radiology Center, The First Affiliated Hospital of Xinxiang Medical University, Xin Xiang, China.
  • Yan Zhuang
    Medical Psychology Department, Taiyuan Mental Hospital, Taiyuan, China.
  • Jingtao Li
    State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China.
  • Jiangli Lin
    Department of Biomedical Engineering, College of Materials Science and Engineering, Sichuan University, Chengdu, China.

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