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

Research output: Chapter in Book/Report/Conference proceedingChapter


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.

Original languageEnglish
Title of host publicationMachine Learning in Dentistry
PublisherSpringer International Publishing
Number of pages10
ISBN (Electronic)9783030718817
ISBN (Print)9783030718800
Publication statusPublished - 2021 Jul 24

All Science Journal Classification (ASJC) codes

  • General Dentistry
  • General Computer Science


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