Photon Starvation Artifact Reduction by Shift-Variant Processing

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Abstract

The x-ray computed tomography (CT) images with low dose are noisy and may contain photon starvation artifacts. The artifacts are location and direction dependent. Therefore, the common shift-invariant denoising filters do not work well. The state-of-The-Art methods to process the low-dose CT images are image reconstruction based; they require the raw projection data. In many situations, the raw CT projections are not accessible. This paper suggests a method to denoise the low-dose CT image using the pseudo projections generated by the application of a forward projector on the low-dose CT image. The feasibility of the proposed method is demonstrated by real clinical data.

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APA

Zeng, G. L. (2022). Photon Starvation Artifact Reduction by Shift-Variant Processing. IEEE Access, 10, 13633–13649. https://doi.org/10.1109/ACCESS.2022.3142775

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