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An automated method for assessing condyle head changes in patients with skeletal class II malocclusion based on Cone-beam CT images.

Jiayu ShiGuoye LinRui BaoZhen ZhangJin TangWenyue ChenHongjin ChenXinwei ZuoQianjin FengShuguang Liu
Published in: Dento maxillo facial radiology (2024)
This study proposes an innovative multi-step registration method based on CBCT, and establishes an automated approach for quantitatively measuring condyle changes post-orthognathic surgery. This method opens up new possibilities for studying condylar morphology.
Keyphrases
  • cone beam
  • image quality
  • minimally invasive
  • computed tomography
  • deep learning
  • coronary artery bypass
  • magnetic resonance imaging
  • magnetic resonance
  • optic nerve