Registration of multi-modal brain images using the rigidity constraint

Author

Ding, L. ; Goshtasby, A.

Author_Institution

Dept. of Comput. Sci. & Eng., Wright State Univ., Dayton, OH, USA

fYear

2001

fDate

4-6 Nov 2001

Firstpage

217

Lastpage

222

Abstract

A template-matching approach to registration of volumetric images is described. The process automatically selects about a dozen highly detailed and unique templates (cubic or spherical subvolumes) from the target volume and locates the templates in the reference volume. The centroids of four correspondences best satisfying the rigidity constraint are then used to determine the transformation matrix that resamples the target volume to overlay the reference volume. Different similarity measures used in template matching are discussed and experimental results are presented. The proposed registration method produces a median error of 2.8 mm when registering Venderbilt brain image data sets and an average registration time of 2.5 minutes on a 400 MHz PC

Keywords

biomedical MRI; brain; image matching; image registration; medical image processing; microcomputer applications; 400 MHz; PC; Venderbilt brain image data sets; centroids; multi-modal brain image registration; rigidity constraint; similarity measures; template matching approach; transformation matrix; volumetric image registration; Brain;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioinformatics and Bioengineering Conference, 2001. Proceedings of the IEEE 2nd International Symposium on

Conference_Location

Bethesda, MD

Print_ISBN

0-7695-1423-5

Type

conf

DOI

10.1109/BIBE.2001.974432

Filename

974432