Zygomatic bone registration based on a modified students mixture model method
Abstract
Point Set Registration (PSR) of anatomic parts is used in different fields such as Patient Specific Implant (PSI) design in Computer Assisted Surgery (CAS) procedure. We designed a modified rigid PSR method based on student's-t mixture model. The proposed method is compared with Coherent Point Drift (CPD) registration method. Higher convergence speed and the lower error value are the advantages of the suggested algorithm in compare with CPD. In our method, the number of iterations decreases by about 69%, and the final error improvement was about 7% in comparison with CPD. The robustness of the proposed algorithm makes it beneficial to be used in the procedure of designing PSI in both unilateral and bilateral zygomatic bone defects caused by trauma or tumor ablation in the field of maxillofacial. Keywords: zygomatic bone; point set registration; student’s-tmixture model; expectation maximization
