Spatial Normalization using Basis Functions
نویسندگان
چکیده
This chapter describes the steps involved in registering images of different subjects into roughly the same co-ordinate system, where the co-ordinate system is defined by a template image (or series of images). The method only uses up to a few hundred parameters, so can only model global brain shape. It works by estimating the optimum coefficients for a set of bases, by minimizing the sum of squared differences between the template and source image, while simultaneously maximizing the smoothness of the transformation using a maximum a posteriori (MAP) approach.
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