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The IAEA remote and automated quality control methodology for radiography and mammography
Radiography remains the most widely used imaging modality throughout the world. Additionally, while it has been demonstrated that a quality control (QC) program, especially in mammography, improves image quality, weekly technologist QC testing might be lacking even where there is clinical qualified...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8598138/ https://www.ncbi.nlm.nih.gov/pubmed/34623023 http://dx.doi.org/10.1002/acm2.13431 |
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author | Mora, Patricia Pfeiffer, Douglas Zhang, Gouzhi Bosmans, Hilde Delis, Harry Razi, Zahra Arreola, Manuel Tsapaki, Virginia |
author_facet | Mora, Patricia Pfeiffer, Douglas Zhang, Gouzhi Bosmans, Hilde Delis, Harry Razi, Zahra Arreola, Manuel Tsapaki, Virginia |
author_sort | Mora, Patricia |
collection | PubMed |
description | Radiography remains the most widely used imaging modality throughout the world. Additionally, while it has been demonstrated that a quality control (QC) program, especially in mammography, improves image quality, weekly technologist QC testing might be lacking even where there is clinical qualified medical physicist (CQMP) support. Therefore, the International Atomic Energy Agency (IAEA) developed simple QC phantoms that can easily be used on a regular basis (daily/weekly) for radiography and mammography. These are simple in design and use materials that are easily accessible in most parts of the world. A software application is also developed that automatically analyzes images and Digital Imaging and Communications in Medicine (DICOM) header information. It exports data to a comma‐separated values (CSV) file that is read by a Microsoft Excel® spreadsheet for documentation and graphical analysis. The phantom and the software were tested in four institutions (in Costa Rica and the United States of America) both on computed radiography and direct digital mammography and radiography systems. Data were collected over a 3‐year period. No corrective actions were taken on the data, but service was performed on two of the units. Results demonstrated noise that could be attributed to suboptimal placement of the phantom and incorrect data being put into the DICOM header. Preliminary evaluation of the IAEA methodology has demonstrated that it can provide meaningful QC data that are sensitive to changes in the imaging systems. Care must be taken at implementation to properly train personnel and ensure that the image data, including the DICOM header, are being correctly transmitted. The methodology gives the opportunity for a single CQMP to provide QC services even to remote sites where travel is prohibitive, and it is feasible and easy to implement. |
format | Online Article Text |
id | pubmed-8598138 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-85981382021-12-02 The IAEA remote and automated quality control methodology for radiography and mammography Mora, Patricia Pfeiffer, Douglas Zhang, Gouzhi Bosmans, Hilde Delis, Harry Razi, Zahra Arreola, Manuel Tsapaki, Virginia J Appl Clin Med Phys Medical Imaging Radiography remains the most widely used imaging modality throughout the world. Additionally, while it has been demonstrated that a quality control (QC) program, especially in mammography, improves image quality, weekly technologist QC testing might be lacking even where there is clinical qualified medical physicist (CQMP) support. Therefore, the International Atomic Energy Agency (IAEA) developed simple QC phantoms that can easily be used on a regular basis (daily/weekly) for radiography and mammography. These are simple in design and use materials that are easily accessible in most parts of the world. A software application is also developed that automatically analyzes images and Digital Imaging and Communications in Medicine (DICOM) header information. It exports data to a comma‐separated values (CSV) file that is read by a Microsoft Excel® spreadsheet for documentation and graphical analysis. The phantom and the software were tested in four institutions (in Costa Rica and the United States of America) both on computed radiography and direct digital mammography and radiography systems. Data were collected over a 3‐year period. No corrective actions were taken on the data, but service was performed on two of the units. Results demonstrated noise that could be attributed to suboptimal placement of the phantom and incorrect data being put into the DICOM header. Preliminary evaluation of the IAEA methodology has demonstrated that it can provide meaningful QC data that are sensitive to changes in the imaging systems. Care must be taken at implementation to properly train personnel and ensure that the image data, including the DICOM header, are being correctly transmitted. The methodology gives the opportunity for a single CQMP to provide QC services even to remote sites where travel is prohibitive, and it is feasible and easy to implement. John Wiley and Sons Inc. 2021-10-08 /pmc/articles/PMC8598138/ /pubmed/34623023 http://dx.doi.org/10.1002/acm2.13431 Text en © 2021 The Authors. Journal of Applied Clinical Medical Physics published by Wiley Periodicals, LLC on behalf of The American Association of Physicists in Medicine https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Medical Imaging Mora, Patricia Pfeiffer, Douglas Zhang, Gouzhi Bosmans, Hilde Delis, Harry Razi, Zahra Arreola, Manuel Tsapaki, Virginia The IAEA remote and automated quality control methodology for radiography and mammography |
title | The IAEA remote and automated quality control methodology for radiography and mammography |
title_full | The IAEA remote and automated quality control methodology for radiography and mammography |
title_fullStr | The IAEA remote and automated quality control methodology for radiography and mammography |
title_full_unstemmed | The IAEA remote and automated quality control methodology for radiography and mammography |
title_short | The IAEA remote and automated quality control methodology for radiography and mammography |
title_sort | iaea remote and automated quality control methodology for radiography and mammography |
topic | Medical Imaging |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8598138/ https://www.ncbi.nlm.nih.gov/pubmed/34623023 http://dx.doi.org/10.1002/acm2.13431 |
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