Non-rigid Tensor Registration

James Gee
University of Pennsylvania
Dept. of Radiology

In this talk we motivate and discuss the
problem of registering diffusion tensor magnetic resonance images. These images contain
orientational information that must be handled appropriately when the image is transformed
spatially. We present solutions for global transformations of 3-D images up to
12-parameter affine complexity and indicate how our methods can be extended to higher order
transformations. We also discuss relevant comparative measures of similarity between
diffusion tensors and a new formulation for their implementation.


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