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Measurement Reduction Methods for Processing Tomographic Images
The importance of development of new methods for reconstruction of an object image given its sinogram and some additional information about the object stems from the possibility of artifact presence in the reconstructed image, or its insufficient sharpness when the used additional information does n...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9865758/ https://www.ncbi.nlm.nih.gov/pubmed/36679362 http://dx.doi.org/10.3390/s23020563 |
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author | Chulichkov, Alexey I. Balakin, Dmitriy A. |
author_facet | Chulichkov, Alexey I. Balakin, Dmitriy A. |
author_sort | Chulichkov, Alexey I. |
collection | PubMed |
description | The importance of development of new methods for reconstruction of an object image given its sinogram and some additional information about the object stems from the possibility of artifact presence in the reconstructed image, or its insufficient sharpness when the used additional information does not hold. The problem of recovering artifact-free images of the studied object from tomography data is considered in the framework of the theory of computer-aided measuring systems. Methods for solving it are developed. They are based on narrowing the class of possible images using less artifact-inducing information. An example of such information is the natural condition of non-negativeness of the estimated brightnesses. The main problem that arises is the large dimensionality of the images, which prevents the use of direct algorithms. One proposed method is based on local approach, namely correction of the result of unfiltered backprojection by applying a locally (in the space of the output image) optimal linear transformation. Another method processes a sinogram directly, without using backprojection, using iterative implementation of the measurement reduction technique. Examples of use of the proposed methods for processing teeth sinograms are given. |
format | Online Article Text |
id | pubmed-9865758 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-98657582023-01-22 Measurement Reduction Methods for Processing Tomographic Images Chulichkov, Alexey I. Balakin, Dmitriy A. Sensors (Basel) Article The importance of development of new methods for reconstruction of an object image given its sinogram and some additional information about the object stems from the possibility of artifact presence in the reconstructed image, or its insufficient sharpness when the used additional information does not hold. The problem of recovering artifact-free images of the studied object from tomography data is considered in the framework of the theory of computer-aided measuring systems. Methods for solving it are developed. They are based on narrowing the class of possible images using less artifact-inducing information. An example of such information is the natural condition of non-negativeness of the estimated brightnesses. The main problem that arises is the large dimensionality of the images, which prevents the use of direct algorithms. One proposed method is based on local approach, namely correction of the result of unfiltered backprojection by applying a locally (in the space of the output image) optimal linear transformation. Another method processes a sinogram directly, without using backprojection, using iterative implementation of the measurement reduction technique. Examples of use of the proposed methods for processing teeth sinograms are given. MDPI 2023-01-04 /pmc/articles/PMC9865758/ /pubmed/36679362 http://dx.doi.org/10.3390/s23020563 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Chulichkov, Alexey I. Balakin, Dmitriy A. Measurement Reduction Methods for Processing Tomographic Images |
title | Measurement Reduction Methods for Processing Tomographic Images |
title_full | Measurement Reduction Methods for Processing Tomographic Images |
title_fullStr | Measurement Reduction Methods for Processing Tomographic Images |
title_full_unstemmed | Measurement Reduction Methods for Processing Tomographic Images |
title_short | Measurement Reduction Methods for Processing Tomographic Images |
title_sort | measurement reduction methods for processing tomographic images |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9865758/ https://www.ncbi.nlm.nih.gov/pubmed/36679362 http://dx.doi.org/10.3390/s23020563 |
work_keys_str_mv | AT chulichkovalexeyi measurementreductionmethodsforprocessingtomographicimages AT balakindmitriya measurementreductionmethodsforprocessingtomographicimages |