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A novel beam stopper-based approach for scatter correction in digital planar radiography
X-ray scatter in planar radiography degrades the contrast resolution of the image, thus reducing its diagnostic utility. Antiscatter grids partially block scattered photons at the cost of increasing the dose delivered by two- to four-fold and posing geometrical restrictions that hinder their use for...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10232419/ https://www.ncbi.nlm.nih.gov/pubmed/37258545 http://dx.doi.org/10.1038/s41598-023-32764-5 |
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author | Sakaltras, N. Pena, A. Martinez, C. Desco, M. Abella, M. |
author_facet | Sakaltras, N. Pena, A. Martinez, C. Desco, M. Abella, M. |
author_sort | Sakaltras, N. |
collection | PubMed |
description | X-ray scatter in planar radiography degrades the contrast resolution of the image, thus reducing its diagnostic utility. Antiscatter grids partially block scattered photons at the cost of increasing the dose delivered by two- to four-fold and posing geometrical restrictions that hinder their use for other acquisition settings, such as portable radiography. The few software-based approaches investigated for planar radiography mainly estimate the scatter map from a low-frequency version of the image. We present a novel method for scatter correction in planar imaging based on direct patient measurements. Samples from the shadowed regions of an additional partially obstructed projection acquired with a beam stopper placed between the X-ray source and the patient are used to estimate the scatter map. Evaluation with simulated and real data showed an increase in contrast resolution for both lung and spine and recovery of ground truth values superior to those of three recently proposed methods. Our method avoids the biases of post-processing methods and yields results similar to those for an antiscatter grid while removing geometrical restrictions at around half the radiation dose. It can be used in unconventional imaging techniques, such as portable radiography, where training datasets needed for deep-learning approaches would be very difficult to obtain. |
format | Online Article Text |
id | pubmed-10232419 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-102324192023-06-02 A novel beam stopper-based approach for scatter correction in digital planar radiography Sakaltras, N. Pena, A. Martinez, C. Desco, M. Abella, M. Sci Rep Article X-ray scatter in planar radiography degrades the contrast resolution of the image, thus reducing its diagnostic utility. Antiscatter grids partially block scattered photons at the cost of increasing the dose delivered by two- to four-fold and posing geometrical restrictions that hinder their use for other acquisition settings, such as portable radiography. The few software-based approaches investigated for planar radiography mainly estimate the scatter map from a low-frequency version of the image. We present a novel method for scatter correction in planar imaging based on direct patient measurements. Samples from the shadowed regions of an additional partially obstructed projection acquired with a beam stopper placed between the X-ray source and the patient are used to estimate the scatter map. Evaluation with simulated and real data showed an increase in contrast resolution for both lung and spine and recovery of ground truth values superior to those of three recently proposed methods. Our method avoids the biases of post-processing methods and yields results similar to those for an antiscatter grid while removing geometrical restrictions at around half the radiation dose. It can be used in unconventional imaging techniques, such as portable radiography, where training datasets needed for deep-learning approaches would be very difficult to obtain. Nature Publishing Group UK 2023-05-31 /pmc/articles/PMC10232419/ /pubmed/37258545 http://dx.doi.org/10.1038/s41598-023-32764-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Sakaltras, N. Pena, A. Martinez, C. Desco, M. Abella, M. A novel beam stopper-based approach for scatter correction in digital planar radiography |
title | A novel beam stopper-based approach for scatter correction in digital planar radiography |
title_full | A novel beam stopper-based approach for scatter correction in digital planar radiography |
title_fullStr | A novel beam stopper-based approach for scatter correction in digital planar radiography |
title_full_unstemmed | A novel beam stopper-based approach for scatter correction in digital planar radiography |
title_short | A novel beam stopper-based approach for scatter correction in digital planar radiography |
title_sort | novel beam stopper-based approach for scatter correction in digital planar radiography |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10232419/ https://www.ncbi.nlm.nih.gov/pubmed/37258545 http://dx.doi.org/10.1038/s41598-023-32764-5 |
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