A Combinational De-Noising Algorithm for Low-Dose Computed Tomography

To improve the image quality of low-dose CT, this paper proposes a modified algorithm which combined with the projection domain de-noising and reference-based non-local means (RNLM) filtering in the image domain. A generalized Anscombe transformation (GAT) is used to improve the effectiveness of the stabilization and filtering. The exact unbiased inverse of the GAT is also applied to ensure accurate de-noising results. The experimental results demonstrate that the proposed method could significantly improve the quality and preserve the edges of low-dose CT images.

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