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

Luis A. Zavala Mondragon, Fons van der Sommen, Daniel Ruijters, Klaus J. Engel, Heidrun Steinhauser, Peter H.N. de With

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


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
Number of pages5
ISBN (Electronic)9781538693308
Publication statusPublished - 3 Apr 2020
EventIEEE ISBI 2020
International Symposium on Biomedical Imaging
- Coralville Marriott Hotel and Conference Center, Iowa, United States
Duration: 3 Apr 20207 Apr 2020


ConferenceIEEE ISBI 2020
International Symposium on Biomedical Imaging
Abbreviated titleISBI
CountryUnited States
Internet address


  • Cone Beam CT
  • Dual Energy CT
  • Image denoising

Fingerprint Dive into the research topics of 'Robust Algorithm for Denoising of Photon-Limited Dual-Energy Cone Beam CT Projections'. Together they form a unique fingerprint.

Cite this