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Filtered Back-Projection Reconstruction with Non-Uniformly Under-Sampled Projections
Tomographic imaging systems normally assume measurements with uniform angular sampling. The view angles are uniformly distributed, and the number of views is approximately the number of the detectors at one view. If the Nyquist sampling criterion is not satisfied, aliasing artifacts may appear in th...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10081563/ https://www.ncbi.nlm.nih.gov/pubmed/37040298 |
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author | Zeng, Gengsheng L Zeng, Megan |
author_facet | Zeng, Gengsheng L Zeng, Megan |
author_sort | Zeng, Gengsheng L |
collection | PubMed |
description | Tomographic imaging systems normally assume measurements with uniform angular sampling. The view angles are uniformly distributed, and the number of views is approximately the number of the detectors at one view. If the Nyquist sampling criterion is not satisfied, aliasing artifacts may appear in the reconstructed image. If the angular sampling is not uniform, we may be able to reconstruction the image using under-sampled sinograms. This paper presents a case study, which involves a non-uniformly under-sampled sinogram. A closed-form formula is proposed to convert the non-uniformly under-sampled sinogram to uniformly properly sampled sinogram. Finally, the filtered back-projection (FBP) algorithm is used to reconstruct the image. The proposed formula is exact in the sense that the sinogram is band-limited, which is never true in reality. |
format | Online Article Text |
id | pubmed-10081563 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
record_format | MEDLINE/PubMed |
spelling | pubmed-100815632023-04-07 Filtered Back-Projection Reconstruction with Non-Uniformly Under-Sampled Projections Zeng, Gengsheng L Zeng, Megan Arch Biomed Eng Biotechnol Article Tomographic imaging systems normally assume measurements with uniform angular sampling. The view angles are uniformly distributed, and the number of views is approximately the number of the detectors at one view. If the Nyquist sampling criterion is not satisfied, aliasing artifacts may appear in the reconstructed image. If the angular sampling is not uniform, we may be able to reconstruction the image using under-sampled sinograms. This paper presents a case study, which involves a non-uniformly under-sampled sinogram. A closed-form formula is proposed to convert the non-uniformly under-sampled sinogram to uniformly properly sampled sinogram. Finally, the filtered back-projection (FBP) algorithm is used to reconstruct the image. The proposed formula is exact in the sense that the sinogram is band-limited, which is never true in reality. 2022 2022-11-22 /pmc/articles/PMC10081563/ /pubmed/37040298 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under Creative Commons Attribution 4.0 License ABEB.MS.ID.000652. |
spellingShingle | Article Zeng, Gengsheng L Zeng, Megan Filtered Back-Projection Reconstruction with Non-Uniformly Under-Sampled Projections |
title | Filtered Back-Projection Reconstruction with Non-Uniformly Under-Sampled Projections |
title_full | Filtered Back-Projection Reconstruction with Non-Uniformly Under-Sampled Projections |
title_fullStr | Filtered Back-Projection Reconstruction with Non-Uniformly Under-Sampled Projections |
title_full_unstemmed | Filtered Back-Projection Reconstruction with Non-Uniformly Under-Sampled Projections |
title_short | Filtered Back-Projection Reconstruction with Non-Uniformly Under-Sampled Projections |
title_sort | filtered back-projection reconstruction with non-uniformly under-sampled projections |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10081563/ https://www.ncbi.nlm.nih.gov/pubmed/37040298 |
work_keys_str_mv | AT zenggengshengl filteredbackprojectionreconstructionwithnonuniformlyundersampledprojections AT zengmegan filteredbackprojectionreconstructionwithnonuniformlyundersampledprojections |