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LS estimator is the classical diffusion tensor estimate method. It could get optimal result with highest estimate efficiency on the condition that the noise distribution is Gaussian strictly. But it is quite not robust, for even one outlier could make the error result. M estimator is more robust than LS estimator, but its breakdown point is very low, thus it could not resist the outliers effetely...
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