Title | ||
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Robust Algorithm for Denoising of Photon-Limited Dual-Energy Cone Beam CT Projections |
Abstract | ||
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Dual-Energy CT offers significant advantages over traditional CT imaging because it offers energy-based awareness of the image content and facilitates material discrimination in the projection domain. The Dual-Energy CT concept has intrinsic redundancy that can be used for improving image quality, by jointly exploiting the high- and low-energy projections. In this paper we focus on noise reduction. This work presents the novel noise-reduction algorithm Dual Energy Shifted Wavelet Denoising (DESWD), which renders high-quality Dual-Energy CBCT projections out of noisy ones. To do so, we first apply a Generalized Anscombe Transform, enabling us to use denoising methods proposed for Gaussian noise statistics. Second, we use a 3D transformation to denoise all the projections at once. Finally we exploit the inter-channel redundancy of the projections to create sparsity in the signal for better denoising with a channel-decorrelation step. Our simulation experiments show that DESWD performs better than a state-of-the-art denoising method (BM4D) in limited photon-count imaging, while BM4D achieves excellent results for less noisy conditions. |
Year | DOI | Venue |
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2020 | 10.1109/ISBI45749.2020.9098442 | 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI) |
Keywords | DocType | ISSN |
Image denoising,Cone Beam CT,Dual Energy CT | Conference | 1945-7928 |
ISBN | Citations | PageRank |
978-1-5386-9331-5 | 0 | 0.34 |
References | Authors | |
0 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Luis A. Zavala-Mondragon | 1 | 2 | 1.04 |
Fons van der Sommen | 2 | 31 | 13.96 |
Danny Ruijters | 3 | 0 | 0.34 |
Klaus J. Engel | 4 | 0 | 0.34 |
Heidrun Steinhauser | 5 | 0 | 0.34 |
Peter H. N. de With | 6 | 709 | 106.61 |