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