The invention discloses a multi-
tensor-based magnetic
resonance diffusion weighted
image structure adaptive smoothing method, relates to a magnetic
resonance diffusion weighted image
smoothing method, belongs to the field of medical
image processing, and solves the problem that the accuracy of the
fiber structure information of each obtained
voxel is low because of poor
noise suppression in the conventional method. The multi-
tensor-based magnetic
resonance diffusion weighted
image structure adaptive smoothing method comprises the following steps: firstly, selecting related parameters, and setting an initial neighborhood
radius; secondly, calculating the initial
fiber structure information of each
voxel; thirdly, calculating the weights of all voxels in the neighborhood
radius on the
voxel according to the
fiber structure information, performing weighted
smoothing on a magnetic resonance diffusion weighted image, and recalculating the
fiber structure information of each voxel after the magnetic resonance diffusion weighted image is smoothed; fourthly, judging whether a stopping criterion for iteration is met or not, if not, expanding the neighborhood
radius and continuing to performing the third step, or else, ending the calculating. The multi-
tensor-based magnetic resonance diffusion weighted
image structure adaptive smoothing method is applicable to
processing the information of the magnetic resonance diffusion weighted image.