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

C Barillot, D R Haynor, P Hellier (Editor), D J Hawkes, W J Niessen

Research output: Chapter in Book/Report/Conference proceedingConference paper

4 Citations (Scopus)

Abstract

A method is presented for interpolation between neighbouring slices in 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.
Original languageEnglish
Title of host publicationLECT NOTE COMPUT SCI
Place of PublicationBERLIN
PublisherSpringer
Pages558 - 565
Number of pages8
ISBN (Print)3-540-22976-0
Publication statusPublished - 2004
Event7th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2004) - St Malo, France
Duration: 1 Jan 2004 → …

Publication series

NameLECTURE NOTES IN COMPUTER SCIENCE

Conference

Conference7th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2004)
Country/TerritoryFrance
CitySt Malo
Period1/01/2004 → …

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