Low dose CT image filtering method
A CT image, low-dose technology, applied in the field of medical image processing, can solve the problems of severe star-stripe artifacts, attenuation, and inability to effectively suppress star-stripe artifacts, etc., and achieve the effect of improving the quality of CT images
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[0024] The technical solution of the present invention will be described in detail below in conjunction with the accompanying drawings.
[0025] The idea of the present invention is to organically combine the two strategies of dictionary learning denoising and unsharp filtering for low-dose CT images that are difficult to effectively remove with existing methods. The blocky noise in the original low-dose CT image is removed, and then the suppressed edge information is enhanced by the unsharp filtering method.
[0026] The specific method of this method is as follows:
[0027] Utilize the dictionary learning method to filter out the blocky noise in the original low-dose CT image, specifically adopt the following methods in this embodiment:
[0028] 1) Use discrete cosine transform (Discrete Cosine Transform, referred to as DCT transform) to generate a DCT dictionary, the method is as follows: given sequence x(n), n=0,1,...N 2 -1, its discrete cosine transform:
[0029] ...
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