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 |
| 页 | 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 |
学术指纹
探究 'Patient-specific referencemodel for planning orthognathic surgery' 的科研主题。它们共同构成独一无二的指纹。引用此
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