Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autor principal: ZENG, GENGSHENG L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
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
_version_ 1784770745464782848
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