9 December 2015 Performance evaluation and optimization of BM4D-AV denoising algorithm for cone-beam CT images
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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.
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Kuidong Huang, Kuidong Huang, Xiaofei Tian, Xiaofei Tian, Dinghua Zhang, Dinghua Zhang, Hua Zhang, 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); doi: 10.1117/12.2228129; https://doi.org/10.1117/12.2228129
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