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Patient-specific referencemodel for planning orthognathic surgery

  • Hannah H. Deng
  • , Li Wang
  • , Yi Ren
  • , Jaime Gateno
  • , Zhen Tang
  • , Ken Chung Chen
  • , Chunfeng Lian
  • , Steve Guofang Shen
  • , Philip Kin Man Lee
  • , Pew Thian Yap
  • , Dinggang Shen
  • , James J. Xia
  • Houston Methodist
  • University of North Carolina at Chapel Hill
  • Cornell University
  • Shanghai Jiao Tong University
  • Hong Kong Dental Implant and Maxillofacial Center
  • United Imaging Healthcare

科研成果: 书/报告/会议事项章节章节同行评审

1 引用 (Scopus)

摘要

A large number of people require surgical or orthodontic treatment to correct jaw deformities. The accuracy of surgical planning is essential to the success of craniomaxillofacial (CMF) surgery. An accurate surgical plan greatly relies on a patient-specific reference model. The current challenge is a lack of this reference model. As a result, the outcome of surgery is currently dependent on the surgeon's diagnoses and experience. This chapter introduces a method to automatically estimate an anatomically correct reference shape of the jaws for the patient requiring orthognathic surgery. The method is based on sparse shape composition and is data-driven. It can effectively estimate the normal shape of the maxilla and mandible.

源语言英语
主期刊名Machine Learning in Dentistry
出版商Springer International Publishing
105-114
页数10
ISBN(电子版)9783030718817
ISBN(印刷版)9783030718800
DOI
出版状态已出版 - 24 7月 2021

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