Analysis of Interpolation Effects in the Reslicing of Functional MR Images
- 1 September 1997
- journal article
- research article
- Published by Wolters Kluwer Health in Journal of Computer Assisted Tomography
- Vol. 21 (5) , 803-810
- https://doi.org/10.1097/00004728-199709000-00029
Abstract
Typically, the final step in volume registration is the reslicing of the volume of interest. The purpose of this work is to examine the effects of this reslicing on functional MRI (fMRI) data using different interpolation methods. Functional whole-brain echo planar imaging (EPI) volumes were resliced using six different interpolation methods: trilinear, tricubic splines, and a 3D sinc function using a rectangular and a Hanning window, both with half-window lengths of 3 and 4 voxels. Interpolation by tricubic spline and 3D sinc using a Hanning window had comparable errors, although tricubic spline interpolation was computationally the fastest. Interpolation by trilinear and 3D sinc using a rectangular window had relatively large errors, although the speed of trilinear makes it desirable for some applications. Interpolations using all of the tested methods adversely affected the fMRI data, although these effects differed for each method.Keywords
This publication has 10 references indexed in Scilit:
- Correspondence of closest gradient Voxels—A robust registration algorithmJournal of Magnetic Resonance Imaging, 1997
- Whole-brain functional mapping with isotropic MR imaging.Radiology, 1996
- A Registration and Interpolation Procedure for Subvoxel Matching of Serially Acquired MR ImagesJournal of Computer Assisted Tomography, 1995
- MRI-PET Registration with Automated AlgorithmJournal of Computer Assisted Tomography, 1993
- B-spline signal processing. II. Efficiency design and applicationsIEEE Transactions on Signal Processing, 1993
- B-spline signal processing. I. TheoryIEEE Transactions on Signal Processing, 1993
- Cardinal spline filters: Stability and convergence to the ideal sinc interpolatorSignal Processing, 1992
- Rapid Automated Algorithm for Aligning and Reslicing PET ImagesJournal of Computer Assisted Tomography, 1992
- Comparison of Interpolating Methods for Image ResamplingIEEE Transactions on Medical Imaging, 1983
- The Shannon sampling theorem—Its various extensions and applications: A tutorial reviewProceedings of the IEEE, 1977