Denoising of medical CT image based on sparse decomposition / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 456-459, 2012.
Article
in Chinese
| WPRIM
| ID: wpr-271753
ABSTRACT
Noises are inevitably introduced to medical CT images because of various factors in the medical image processes. Noises in medical images will greatly degrade the quality of images and bring difficulties to clinical diagnosis. Therefore, it is necessary for medical CT images to be denoised. In the present paper, the sparse decomposition of images is used to denoise medical CT images. A new block-based sparse decomposition of images denoising method is proposed. Experimental results showed that block-based sparse decomposition of images denoising had a certain function. With the same number of atoms, the computing speed of the image constructed by the new algorithm was improved by about 15 times, compared with the whole image sparse decomposition denoising.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Algorithms
/
Image Processing, Computer-Assisted
/
Diagnostic Imaging
/
Tomography, X-Ray Computed
/
Artifacts
/
Liver Neoplasms
/
Methods
Type of study:
Diagnostic study
Limits:
Humans
Language:
Chinese
Journal:
Journal of Biomedical Engineering
Year:
2012
Type:
Article
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