Estimating patient-specific and anatomically correct reference model for craniomaxillofacial deformity via sparse representation

Li Wang, Yi Ren, Yaozong Gao, Zhen Tang, Ken Chung Chen, Jianfu Li, Steve G.F. Shen, Jin Yan, Philip K.M. Lee, Ben Chow, James J. Xia, Dinggang Shen

研究成果: Article同行評審

5 引文 斯高帕斯(Scopus)

摘要

Purpose: A significant number of patients suffer from craniomaxillofacial (CMF) deformity and require CMF surgery in the United States. The success of CMF surgery depends on not only the surgical techniques but also an accurate surgical planning. However, surgical planning for CMF surgery is challenging due to the absence of a patient-specific reference model. Currently, the outcome of the surgery is often subjective and highly dependent on surgeon's experience. In this paper, the authors present an automatic method to estimate an anatomically correct reference shape of jaws for orthognathic surgery, a common type of CMF surgery. Methods: To estimate a patient-specific jaw reference model, the authors use a data-driven method based on sparse shape composition. Given a dictionary of normal subjects, the authors first use the sparse representation to represent the midface of a patient by the midfaces of the normal subjects in the dictionary. Then, the derived sparse coefficients are used to reconstruct a patient-specific reference jaw shape. Results: The authors have validated the proposed method on both synthetic and real patient data. Experimental results show that the authors' method can effectively reconstruct the normal shape of jaw for patients. Conclusions: The authors have presented a novel method to automatically estimate a patient-specific reference model for the patient suffering from CMF deformity.

原文English
頁(從 - 到)5809-5816
頁數8
期刊Medical Physics
42
發行號10
DOIs
出版狀態Published - 2015 十月 1

All Science Journal Classification (ASJC) codes

  • 生物物理學
  • 放射學、核子醫學和影像學

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