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Photon Starvation Artifact Reduction by Shift-Variant Processing
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DOI：10.1109/ACCESS.2022.3142775.png)
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Abstract
En 中文
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.
Keywords:
Nonlinear filters
Maximum likelihood detection
Image reconstruction
Computed tomography
X-ray imaging
Noise measurement
Photonics
Image processing
image reconstruction
biomedical imaging
computed tomography
filters
Journal
IF:
3.6
Papers:
9.8W
Citations:
29.4W
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