DocumentCode :
3624173
Title :
3-D brain image registration using optimal morphological processing and iterative principal axis transform
Author :
S. Loncaric;A.P. Dhawan
Author_Institution :
Dept. of Electr. & Comput. Eng., Cincinnati Univ., OH, USA
Volume :
1
fYear :
1994
Firstpage :
692
Abstract :
The 3-D registration of magnetic resonance (MR) and positron emission tomographic (PET) images of the brain is of significant interest for various reasons. A new MR and PET brain registration procedure is presented here. The procedure is based on the iterative principal axis transform (IPAR) and the optimal shape description method based on the morphological signature transform. The morphological processing is used to improve the accuracy of the basic IPAR method. A genetic algorithm is used to select a near-optimal structuring element for MST-based registration. The results demonstrate that the method provides an accurate registration.
Keywords :
"Brain","Image registration","Positron emission tomography","Magnetic resonance","Radioactive decay","Iterative methods","Shape","Genetic algorithms"
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE
Print_ISBN :
0-7803-2050-6
Type :
conf
DOI :
10.1109/IEMBS.1994.411865
Filename :
411865
Link To Document :
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