Estimating patient‐specific and anatomically correct reference model for craniomaxillofacial deformity via sparse representation
2015
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.
Keywords:
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