Robust Algorithm for Denoising of Photon-Limited Dual-Energy Cone Beam CT Projections

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Dual-Energy CT offers significant advantages over traditionalCT imaging because it offers energy-based awareness of theimage content and facilitates material discrimination in theprojection domain. The Dual-Energy CT concept has intrinsicredundancy that can be used for improving image quality, byjointly exploiting the high- and low-energy projections. Inthis paper we focus on noise reduction.This work presents the novel noise-reduction algorithmDual Energy Shifted Wavelet Denoising (DESWD), whichrenders high-quality Dual-Energy CBCT projections out ofnoisy ones. To do so, we first apply a Generalized AnscombeTransform, enabling us to use denoising methods proposedfor Gaussian noise statistics. Second, we use a 3D trans-formation to denoise all the projections at once. Finallywe exploit the inter-channel redundancy of the projectionsto create sparsity in the signal for better denoising with achannel-decorrelation step. Our simulation experiments showthat DESWD performs better than a state-of-the-art denois-ing method (BM4D) in limited photon-count imaging, whileBM4D achieves excellent results for less noisy conditions
Original languageEnglish
Title of host publicationISBI 2020 - 2020 IEEE International Symposium on Biomedical Imaging
PublisherInstitute of Electrical and Electronics Engineers
Number of pages5
ISBN (Electronic)978-1-5386-9330-8
Publication statusPublished - 3 Apr 2020
Event17th IEEE International Symposium on Biomedical Imaging (ISBI 2020) - Coralville Marriott Hotel and Conference Center, Iowa City, United States
Duration: 3 Apr 20207 Apr 2020
Conference number: 17


Conference17th IEEE International Symposium on Biomedical Imaging (ISBI 2020)
Abbreviated titleISBI 2020
Country/TerritoryUnited States
CityIowa City
Internet address


  • Cone Beam CT
  • Dual Energy CT
  • Image denoising


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