Abstract
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 language | English |
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Title of host publication | ISBI 2020 - 2020 IEEE International Symposium on Biomedical Imaging |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 867-871 |
Number of pages | 5 |
ISBN (Electronic) | 978-1-5386-9330-8 |
DOIs | |
Publication status | Published - 3 Apr 2020 |
Event | 17th IEEE International Symposium on Biomedical Imaging (ISBI 2020) - Coralville Marriott Hotel and Conference Center, Iowa City, United States Duration: 3 Apr 2020 → 7 Apr 2020 Conference number: 17 http://2020.biomedicalimaging.org/ |
Conference
Conference | 17th IEEE International Symposium on Biomedical Imaging (ISBI 2020) |
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Abbreviated title | ISBI 2020 |
Country/Territory | United States |
City | Iowa City |
Period | 3/04/20 → 7/04/20 |
Internet address |
Keywords
- Cone Beam CT
- Dual Energy CT
- Image denoising