LASADD: Linear Acceleration Method for Adapting Diffusion Dictionaries

We have presented a set of improvements to the algorithm that adapts the dictionary of diffusion functions, modifying and rotating the diffusion tensor profile. Our proposal simplifies the optimization problems using linear approximations in the rotations and size of diffusion profiles are estimated solving simple linear least-squares sub-problems. We evaluated our method performance with benchmark data set and we demonstrated its capabilities using real data.

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