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

Kuidong Huang, Xiaofei Tian, Dinghua Zhang, Hua Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

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.

Original languageEnglish
Title of host publicationSeventh International Conference on Graphic and Image Processing, ICGIP 2015
EditorsXudong Jiang, Xudong Jiang, Yulin Wang, Xudong Jiang, Yulin Wang, Xudong Jiang, Yulin Wang, Yulin Wang
PublisherSPIE
ISBN (Electronic)9781510600584, 9781510600584, 9781510600584, 9781510600584
DOIs
StatePublished - 2015
Event7th International Conference on Graphic and Image Processing, ICGIP 2015 - Singapore, Singapore
Duration: 23 Oct 201525 Oct 2015

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume9817
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference7th International Conference on Graphic and Image Processing, ICGIP 2015
Country/TerritorySingapore
CitySingapore
Period23/10/1525/10/15

Keywords

  • 3D denoising
  • BM4D-AV
  • CBCT
  • Parameters optimization

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