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Publication Detail
Registration-based interpolation using a high-resolution image for guidance
  • Publication Type:
    Conference
  • Authors:
    Penney GP, Schnabel JA, Rueckert D, Hawkes DJ, Niessen WJ
  • Publication date:
    01/01/2004
  • Pagination:
    558, 565
  • Published proceedings:
    Lecture Notes in Computer Science
  • Volume:
    3216
  • Issue:
    PART 1
  • Status:
    Published
  • Print ISSN:
    0302-9743
Abstract
A method is presented for interpolation between neighbouring slices in a grey-scale tomographic data set, when a high-resolution image of the same patient is also available. Spatial correspondence between adjacent slices in the high-resolution image are established using a voxel-based non-rigid registration algorithm. These spatial correspondences are used to calculate a set of vectors, which are transferred from the high-resolution image to the lower resolution image by rigidly registering the image volumes together. Linear interpolation is then carried out along these vector directions between neighbouring slices in the low-resolution image. This method has been compared to standard linear interpolation, shape-based interpolation and registration-based interpolation in MR head volumes. Results using a mean square difference error measure show that the proposed method outperforms the other three interpolation techniques. © Springer-Verlag Berlin Heidelberg 2004.
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