Elastic Medical Image Registration Based on Image Intensity

Wang, X.Y., Feng, D.D. and Jin, J.S.

    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.
Cite as: Wang, X.Y., Feng, D.D. and Jin, J.S. (2002). Elastic Medical Image Registration Based on Image Intensity. In Proc. Selected papers from 2001 Pan-Sydney Area Workshop on Visual Information Processing (VIP2001), Sydney, Australia. CRPIT, 11. Feng, D. D., Jin, J., Eades, P. and Yan, H., Eds. ACS. 139-142.
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