Application of BM3D algorithm in CT image denoising of liver cancer

Changhe Wu; Tianhan Gao

doi:10.1117/12.2604518

5 October 2021 Application of BM3D algorithm in CT image denoising of liver cancer

Changhe Wu, Tianhan Gao

Proceedings Volume 11911, 2nd International Conference on Computer Vision, Image, and Deep Learning; 119111T (2021) https://doi.org/10.1117/12.2604518
Event: 2nd International Conference on Computer Vision, Image and Deep Learning, 2021, Liuzhou, China

Abstract

CT images play a vital role in the diagnosis of liver cancer. However, CT images often have significant image noise, which is unfavourable for doctors' diagnoses. In response to this problem, this paper applies the BM3D denoising algorithm to the denoising CT images of liver cancer. The BM3D denoising algorithm first obtains similar blocks through block matching, stacks these similar blocks into three-dimensional blocks, performs collaborative filtering processing, and finally obtains the final clear image through aggregation. Experimental results show that the BM3D algorithm can effectively remove the noise of CT images of liver cancer.

Citation Download Citation

Changhe Wu and Tianhan Gao "Application of BM3D algorithm in CT image denoising of liver cancer", Proc. SPIE 11911, 2nd International Conference on Computer Vision, Image, and Deep Learning, 119111T (5 October 2021); https://doi.org/10.1117/12.2604518

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