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Surface interpolation with radial basis functions for medical imaging

Journal Article · · IEEE Transactions on Medical Imaging
DOI:https://doi.org/10.1109/42.552059· OSTI ID:458262
;  [1];  [2]
  1. Univ. of Canterbury, Christchurch (New Zealand)
  2. Christchurch Hospital (New Zealand). Dept. of Medical Physics and Bioengineering
Radial basis functions are presented as a practical solution to the problem of interpolating incomplete surfaces derived from three-dimensional (3-D) medical graphics. The specific application considered is the design of cranial implants for the repair of defects, usually holes, in the skull. Radial basis functions impose few restrictions on the geometry of the interpolation centers and are suited to problems where interpolation centers do not form a regular grid. However, their high computational requirements have previously limited their use to problems where the number of interpolation centers is small (<300). Recently developed fast evaluation techniques have overcome these limitations and made radial basis interpolation a practical approach for larger data sets. In this paper radial basis functions are fitted to depth-maps of the skull`s surface, obtained from X-ray computed tomography (CT) data using ray-tracing techniques. They are used to smoothly interpolate the surface of the skull across defect regions. The resulting mathematical description of the skull`s surface can be evaluated at any desired resolution to be rendered on a graphics workstation or to generate instructions for operating a computer numerically controlled (CNC) mill.
OSTI ID:
458262
Journal Information:
IEEE Transactions on Medical Imaging, Journal Name: IEEE Transactions on Medical Imaging Journal Issue: 1 Vol. 16; ISSN 0278-0062; ISSN ITMID4
Country of Publication:
United States
Language:
English

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