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

Registration-based interpolation using a high-resolution image for guidance.

In: (International Conference on Medical Image Computing and Computer-Assisted Intervention). Berlin [u.a.]: Springer, 2004. 558-565 (Lect. Notes Comput. Sc. ; 3216)
DOI
Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
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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Publikationstyp Artikel: Konferenzbeitrag
Korrespondenzautor
ISSN (print) / ISBN 0302-9743
e-ISSN 1611-3349
Konferenztitel International Conference on Medical Image Computing and Computer-Assisted Intervention
Zeitschrift Lecture Notes in Computer Science
Quellenangaben Band: 3216, Heft: PART 1, Seiten: 558-565 Artikelnummer: , Supplement: ,
Verlag Springer
Verlagsort Berlin [u.a.]
Nichtpatentliteratur Publikationen
Institut(e) Institute for Machine Learning in Biomed Imaging (IML)