Locally Orderless Registration for Diffusion Weighted Images
نویسندگان
چکیده
Registration of Diffusion Weighted Images (DWI) is challenging as the data is a composition of both directional and intensity information. In this work, the density estimation framework for image similarity, Locally Orderless Registration, is extended to include directional information. We construct a spatio-directional scale-space formulation of marginal and joint density distributions between two DWI. We examine the scale-space and illustrate the approach by affine registration.
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