Surface Interpolation with Radial Basis Functions for Medical Imaging

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Surface Interpolation with Radial Basis Functions for Medical Imaging

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Surface Interpolation with Radial Basis Functions for Medical Imaging. Jonathan C. Carr et al ... Design of cranial implants for the repair of defects. System ... –

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Title: Surface Interpolation with Radial Basis Functions for Medical Imaging


1
Surface Interpolation with Radial Basis Functions
for Medical Imaging
  • Jonathan C. Carr et al
  • IEEE Trans. on Medical Imaging, Vol. 16, No. 1,
    Feb. 1997
  • Byeong-Seon Jeong in CGVR Lab.

2
Goal
  • Design of cranial implants for the repair of
    defects

3
System Overview
Obtain CT data
Extract depth-maps
Interpolate depth-maps
Mill
4
RBF Approximation 1
5
RBF Approximation 2
Conditions
6
RBF Approximation 3
7
RBF Approximation 4
8
RBF Approximation 5
  • In this paper, 2D thin-plate spline

9
Fitted Surface 1
  • CT data

10
Fitted Surface 2
  • Depth-map fitted surface

11
Thin-plate spline 1
  • C1 continuity
  • Minimize the energy functional

12
Thin-plate spline 2
  • Original thin-plate spline

13
Thin-plate spline 3
  • Thin-plate spline vs Linear

max error 0.60 mm
max error 0.56 mm
14
Thin-plate spline 4
  • Natural choice for cranial implant design

15
Thin-plate spline 5
  • Smoothness

16
Evaluation
Fig. 8
Fig. 11
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