Elastic medical image registration based on image intensity

Authors:
Xiu Ying Wang;David Dagan Feng;Jesse Jin
Affiliations:
Biomedical and Multimedia Info. Tech. (BMIT) Gp., School of Info. Tech., F09, Univ. Sydney, Australia and School of Comp. Sci., Heilongjiang Univ., Harbin 150080, P.R.China;Biomedical and Multimedia Info. Tech. (BMIT) Gp., School of Info. Tech., F09, Univ. Sydney, Australia and Center for Multimedia Signal Proc., Dept. of Elec. and Info. Eng., Hong Kong Poly. Univ.;Biomedical and Multimedia Information Technology (BMIT) Group, School of Information Technologies, F09, The University of Sydney, NSW 2006, Australia
Venue:
VIP '01 Proceedings of the Pan-Sydney area workshop on Visual information processing - Volume 11
Year:
2001

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Abstract

A two-step elastic medical image registration approach is proposed, which is based on the image intensity. In the first step, the global affine medical image registration is used to establish one-to-one mapping between the two images to be registered. After this first step, the images are registered up to small local elastic deformation. Then the mapped images are used as inputs in the second step, during which, the study image is modeled as elastic sheet by being divided into several subimages. Moving the individual subimage in the reference image, the local displacement vectors are found and the global elastic transformation is achieved by assimilating all of the local transformation into a continuous transformation. This algorithm has been tested on both simulated and tomographic images.