Performance evaluation and optimization of BM4D-AV denoising algorithm for cone-beam CT images

Kuidong Huang; Xiaofei Tian; Dinghua Zhang; Hua Zhang

doi:10.1117/12.2228129

9 December 2015 Performance evaluation and optimization of BM4D-AV denoising algorithm for cone-beam CT images

Kuidong Huang, Xiaofei Tian, Dinghua Zhang, Hua Zhang

Proceedings Volume 9817, Seventh International Conference on Graphic and Image Processing (ICGIP 2015); 981712 (2015) https://doi.org/10.1117/12.2228129
Event: Seventh International Conference on Graphic and Image Processing, 2015, Singapore, Singapore

Abstract

The broadening application of cone-beam Computed Tomography (CBCT) in medical diagnostics and nondestructive testing, necessitates advanced denoising algorithms for its 3D images. The block-matching and four dimensional filtering algorithm with adaptive variance (BM4D-AV) is applied to the 3D image denoising in this research. To optimize it, the key filtering parameters of the BM4D-AV algorithm are assessed firstly based on the simulated CBCT images and a table of optimized filtering parameters is obtained. Then, considering the complexity of the noise in realistic CBCT images, possible noise standard deviations in BM4D-AV are evaluated to attain the chosen principle for the realistic denoising. The results of corresponding experiments demonstrate that the BM4D-AV algorithm with optimized parameters presents excellent denosing effect on the realistic 3D CBCT images.

Citation Download Citation

Kuidong Huang, Xiaofei Tian, Dinghua Zhang, and Hua Zhang "Performance evaluation and optimization of BM4D-AV denoising algorithm for cone-beam CT images", Proc. SPIE 9817, Seventh International Conference on Graphic and Image Processing (ICGIP 2015), 981712 (9 December 2015); https://doi.org/10.1117/12.2228129

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KEYWORDS

Denoising

3D image processing

Signal to noise ratio

Image denoising

Silver

Image filtering

Computed tomography

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