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Updated: Aug 31, 2025

Quasi-light Storage for Optical Data Packets
Published on: February 6, 2014
Photon Starvation Artifact Reduction by Shift-Variant Processing
1Department of Computer Science, Utah Valley University, Orem, UT 84058, USA.
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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