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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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9687433/ |
| _version_ | 1818283600140828672 |
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| author | Gengsheng L. Zeng |
| author_facet | Gengsheng L. Zeng |
| author_sort | Gengsheng L. Zeng |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-13T00:39:29Z |
| format | Article |
| id | doaj.art-e60cf0c047a14d46b226d2d813e72f6b |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-13T00:39:29Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-e60cf0c047a14d46b226d2d813e72f6b2022-12-22T00:05:09ZengIEEEIEEE Access2169-35362022-01-0110136331364910.1109/ACCESS.2022.31427759687433Photon Starvation Artifact Reduction by Shift-Variant ProcessingGengsheng L. Zeng0https://orcid.org/0000-0003-0790-6043Department of Computer Science, Utah Valley University, Orem, UT, USAThe 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.https://ieeexplore.ieee.org/document/9687433/Image processingimage reconstructionbiomedical imagingcomputed tomographyfilters |
| spellingShingle | Gengsheng L. Zeng Photon Starvation Artifact Reduction by Shift-Variant Processing IEEE Access Image processing image reconstruction biomedical imaging computed tomography filters |
| 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 | Image processing image reconstruction biomedical imaging computed tomography filters |
| url | https://ieeexplore.ieee.org/document/9687433/ |
| work_keys_str_mv | AT gengshenglzeng photonstarvationartifactreductionbyshiftvariantprocessing |