Registration-based interpolation

Author

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

Author_Institution

Image Sci. Inst., Univ. Med. Center Utrecht, Netherlands

Volume

23

Issue

7

fYear

2004

fDate

7/1/2004 12:00:00 AM

Firstpage

922

Lastpage

926

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.

Keywords

biomedical MRI; computerised tomography; image registration; interpolation; medical image processing; splines (mathematics); B-splines; computerised tomography; grey-scale tomographic data; image intensities; linear interpolation; medical magnetic resonance imaging; nonrigid registration algorithm; registration-based interpolation; shape-based interpolation; Associate members; Biomedical imaging; Biomedical measurements; Data mining; Image processing; Image segmentation; Interpolation; Mutual information; Spline; Tomography; Algorithms; Brain; Foot; Head; Humans; Image Interpretation, Computer-Assisted; Linear Models; London; Magnetic Resonance Imaging; Radiography, Abdominal; Tomography, X-Ray Computed;

fLanguage

English

Journal_Title

Medical Imaging, IEEE Transactions on

Publisher

ieee

ISSN

0278-0062

Type

jour

DOI

10.1109/TMI.2004.828352

Filename

1309715