Anisotropic filtering of MRI data based upon image gradient histogram
The contribution deals with MR image smoothing via anisotropic diffusion aimed at Signal-to-Noise Ratio increase. For segmentation of the MR data dedicated to 3D image synthesis such a procedure is inevitable. In the contribution a novel function for diffusion coefficient definition, involving the global histogram of relative frequencies of the image intensity gradient, is proposed. The smoothing method developed has been tested on a real MR image (from a set of 2D spin-echo data). A comparison of the influence of both diffusion coefficients on smoothing effect is presented.
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