Multi-b-value DWI (diffusion weighted image) noise reduction method based on mutual information
A mutual information and image technology, applied in the field of image processing, can solve difficult problems such as data quality improvement
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[0021] In order to make the purpose, technical solution and advantages of the present invention clearer, the implementation manners of the present invention will be further described in detail below.
[0022] Using the non-local mean filtering method based on mutual information, the similarity of image information between different channels can be fully utilized, and the advantages of non-local mean filtering can be used to effectively remove noise while retaining image edge information. Therefore, this method can be used for DWI images with multiple b-values and multiple directions. In addition, different b-value images have different signal-to-noise ratios, so the parameters of the noise reduction method based on mutual information should be set separately according to different b-value images. The b0 image refers to the image obtained without adding diffusion-sensitive gradient pulses. Because of its high signal-to-noise ratio, contrast and signal strength, its noise dist...
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