Denoising of medical CT image based on sparse decomposition.
- Author:
Bo XING
1
;
Jun WANG
Author Information
1. College of Telecommunications & Information Engineering, Nanjing Univ. of Posts & Telecomm, Nanjing 210003, China.
- Publication Type:Journal Article
- MeSH:
Algorithms;
Artifacts;
Humans;
Image Processing, Computer-Assisted;
methods;
Liver Neoplasms;
diagnostic imaging;
Tomography, X-Ray Computed;
methods
- From:
Journal of Biomedical Engineering
2012;29(3):456-459
- CountryChina
- Language:Chinese
-
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.
