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Photon Starvation Artifact Reduction by Shift-Variant Processing
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...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9390879/ https://www.ncbi.nlm.nih.gov/pubmed/35993039 http://dx.doi.org/10.1109/access.2022.3142775 |
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author | ZENG, GENGSHENG L. |
author_facet | ZENG, GENGSHENG L. |
author_sort | ZENG, GENGSHENG L. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9390879 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
record_format | MEDLINE/PubMed |
spelling | pubmed-93908792022-08-19 Photon Starvation Artifact Reduction by Shift-Variant Processing ZENG, GENGSHENG L. IEEE Access Article 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. 2022 2022-01-20 /pmc/articles/PMC9390879/ /pubmed/35993039 http://dx.doi.org/10.1109/access.2022.3142775 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article ZENG, GENGSHENG L. Photon Starvation Artifact Reduction by Shift-Variant Processing |
title | Photon Starvation Artifact Reduction by Shift-Variant Processing |
title_full | Photon Starvation Artifact Reduction by Shift-Variant Processing |
title_fullStr | Photon Starvation Artifact Reduction by Shift-Variant Processing |
title_full_unstemmed | Photon Starvation Artifact Reduction by Shift-Variant Processing |
title_short | Photon Starvation Artifact Reduction by Shift-Variant Processing |
title_sort | photon starvation artifact reduction by shift-variant processing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9390879/ https://www.ncbi.nlm.nih.gov/pubmed/35993039 http://dx.doi.org/10.1109/access.2022.3142775 |
work_keys_str_mv | AT zenggengshengl photonstarvationartifactreductionbyshiftvariantprocessing |