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Penney, G.P.* ; Schnabel, J.A.* ; Rueckert, D.* ; Viergever, M.A.* ; Niessen, W.J.*

Registration-based interpolation.

IEEE Trans. Med. Imaging 23, 922-926 (2004)
DOI
Open Access Green as soon as Postprint is submitted to ZB.
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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Publication type Article: Journal article
Document type Scientific Article
Corresponding Author
Keywords Interpolation ; Registration
ISSN (print) / ISBN 0278-0062
e-ISSN 1558-254X
Journal IEEE Transactions on Medical Imaging
Quellenangaben Volume: 23, Issue: 7, Pages: 922-926 Article Number: , Supplement: ,
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Publishing Place New York, NY [u.a.]
Non-patent literature Publications
Reviewing status Peer reviewed
Institute(s) Institute for Machine Learning in Biomed Imaging (IML)