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Proceedings Paper

Performance evaluation and optimization of BM4D-AV denoising algorithm for cone-beam CT images
Author(s): Kuidong Huang; Xiaofei Tian; Dinghua Zhang; Hua Zhang
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Paper 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.

Paper Details

Date Published: 9 December 2015
PDF: 6 pages
Proc. SPIE 9817, Seventh International Conference on Graphic and Image Processing (ICGIP 2015), 981712 (9 December 2015); doi: 10.1117/12.2228129
Show Author Affiliations
Kuidong Huang, Northwestern Polytechnical Univ. (China)
Xiaofei Tian, Northwestern Polytechnical Univ. (China)
Dinghua Zhang, Northwestern Polytechnical Univ. (China)
Hua Zhang, Northwestern Polytechnical Univ. (China)

Published in SPIE Proceedings Vol. 9817:
Seventh International Conference on Graphic and Image Processing (ICGIP 2015)
Yulin Wang; Xudong Jiang, Editor(s)

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