INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, cilt.8, ss.83-88, 2017 (ESCI İndekslerine Giren Dergi)
Cranioplastyis a neurosurgical operation for repairing cranial defects that have occurred in a previous operation or trauma. Various methods have been presented for cranioplastyfrom past to present. In computer-aided design based methods, quality of an implant depends on operator’stalent. In mathematical modelbased methods,such as curve-fitting andvarious interpolations, healthyparts of a skullare usedto generate implant model.Researchers havestudied to improve performanceofmathematical models which are independent from operators’ talent.In this study, improvement of radial basis function (RBF) interpolation performance using symmetrical data is presented. Since we focused on the improvement of RBF interpolation performance on cranial implant design, results were compared with previous studiesinvolving thesame technique. In comparison with previously presented results, difference between the computed implant model and the original skull was reduced from 7 mm to 2 mmusing newly proposed approach.