Improvement of Radial basis Function Interpolation Performance on Cranial Implant Design

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Atasoy F., Şen B. , Nar F., Bozkurt İ.

INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, vol.8, no.8, pp.83-88, 2017 (Journal Indexed in ESCI)

  • Publication Type: Article / Article
  • Volume: 8 Issue: 8
  • Publication Date: 2017
  • Title of Journal : INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS
  • Page Numbers: pp.83-88

Abstract

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.