Literature DB >> 7890857

A registration and interpolation procedure for subvoxel matching of serially acquired MR images.

J V Hajnal1, N Saeed, E J Soar, A Oatridge, I R Young, G M Bydder.   

Abstract

OBJECTIVE: Methods for automatically registering and reslicing MR images using an interpolation function that matches the structure of the image data are described.
MATERIALS AND METHODS: Phantom and human brain images were matched by rigid body rotations and translations in two and three dimensions using a least-squares optimization procedure. Subvoxel image shifts were produced with linear or sinc interpolation.
RESULTS: The use of sinc interpolation ensured that the repositioned images were faithful to the original data and enabled quantitative intensity comparisons to be made. In humans, image segmentation was vital to avoid extraneous soft tissue changes producing systematic errors in registration.
CONCLUSIONS: The sinc-based interpolation technique enabled serially acquired MR images to be positionally matched to subvoxel accuracy so that small changes in the brain could be distinguished from effects due to misregistration.

Entities:  

Mesh:

Year:  1995        PMID: 7890857     DOI: 10.1097/00004728-199503000-00022

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN: 0363-8715            Impact factor:   1.826


  49 in total

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