Projection domain decomposition denoising algorithm based on low rank and similarity-based regularization

CONCLUSIONS: The proposed algorithm has a significantly improved noise reduction compared to other competing approach in dual-energy CT. Meanwhile, the LRSBR method exhibits outstanding performance in preserving edges and fine structures, making it practical for PDD applications.PMID:38640141 | DOI:10.3233/XST-230248

Source: Journal of X-Ray Science and Technology - April 19, 2024 Category: Radiology Authors: Chang Lu Zhenye Han Jing Zou Source Type: research