Registration-based interpolation
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Updated: Aug 23, 2026

Analyzing Dendritic Morphology in Columns and Layers
Published on: March 23, 2017
G P Penney1, J A Schnabel, D Rueckert
1Image Sciences Institute, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands. graeme@isi.uu.nl
Abstract:
A method is presented to interpolate between neighboring slices in a grey-scale tomographic data set. Spatial correspondence between adjacent slices is established using a nonrigid registration algorithm based on B-splines which optimizes the normalized mutual information similarity measure. Linear interpolation of the image intensities is then carried out along the directions calculated by the registration algorithm. The registration-based method is compared to both standard linear interpolation and shape-based interpolation in 20 tomographic data sets. Results show that the proposed method statistically significantly outperforms both linear and shape-based interpolation.
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