Estimating patient‐specific and anatomically correct reference model for craniomaxillofacial deformity via sparse representation. Issue 10 (15th September 2015)

• Record Type: Journal Article
• Authors: Wang, Li; Ren, Yi; Gao, Yaozong; Tang, Zhen; Chen, Ken‐Chung; Li, Jianfu; Shen, Steve G. F.; Yan, Jin; Lee, Philip K. M.; Chow, Ben; Xia, James J.; Shen, Dinggang
• Is Part Of: Medical physics. Volume 42:Issue 10(2015)
• Page Start: 5809
• Page End: 5816
• Publication Date: 2015-09-15
• Subjects: medical disorders -- surgery; Biomedical engineering; Surgical instruments, devices or methods, e.g. tourniquets; jaw deformity -- sparse representation -- shape composition -- thin‐plate spline -- treatment planning; Dictionaries -- Computer modeling -- Surface structure -- Experiment design -- Anatomy -- Collective models -- Computed tomography -- Medical image reconstruction; Medical physics -- Periodicals; Medical physics; Geneeskunde; Natuurkunde; Toepassingen; Biophysics; Periodicals; Periodicals; Electronic journals; 610.153
• DOI: 10.1118/1.4929974
• Languages: English
• ISSNs: 0094-2405

Abstract

Abstract : 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.