Title :
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
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;
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
DOI :
10.1109/BIBE.2001.974432
