Cargando…

Pragmatic Approaches to Reducing Radiation Dose in Brain Computed Tomography Scan using Scan Parameter Modification

BACKGROUND: High radiation dose of patients has become a concern in the computed tomography (CT) examinations. The aim of this study is to guide the radiology technician in modifying or optimizing the underlying parameters of the CT scan to reduce the patient radiation dose and produce an acceptable...

Descripción completa

Detalles Bibliográficos
Autores principales: Choopani, Mohammad Reza, Abedi, Iraj, Dalvand, Fatemeh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9480513/
https://www.ncbi.nlm.nih.gov/pubmed/36120405
http://dx.doi.org/10.4103/jmss.JMSS_83_20
_version_ 1784791064619515904
author Choopani, Mohammad Reza
Abedi, Iraj
Dalvand, Fatemeh
author_facet Choopani, Mohammad Reza
Abedi, Iraj
Dalvand, Fatemeh
author_sort Choopani, Mohammad Reza
collection PubMed
description BACKGROUND: High radiation dose of patients has become a concern in the computed tomography (CT) examinations. The aim of this study is to guide the radiology technician in modifying or optimizing the underlying parameters of the CT scan to reduce the patient radiation dose and produce an acceptable image quality for diagnosis. METHODS: The body mass measurement device phantom was repeatedly scanned by changing the scan parameters. To analyze the image quality, software-based and observer-based evaluations were employed. To study the effect of scan parameters such as slice thickness and reconstruction filter on image quality and radiation dose, the structural equation modeling was used. RESULTS: By changing the reconstruction filter from standard to soft and slice thickness from 2.5 mm to 5 mm, low-contrast resolution did not change significantly. In addition, by increasing the slice thickness and changing the reconstruction filter, the spatial resolution at different radiation conditions did not significantly differ from the standard irradiation conditions (P > 0.05). CONCLUSION: In this study, it was shown that in the brain CT scan imaging, the radiation dose was reduced by 30%–50% by increasing the slice thickness or changing the reconstruction filter. It is necessary to adjust the CT scan protocols according to clinical requirements or the special conditions of some patients while maintaining acceptable image quality.
format Online
Article
Text
id pubmed-9480513
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Wolters Kluwer - Medknow
record_format MEDLINE/PubMed
spelling pubmed-94805132022-09-17 Pragmatic Approaches to Reducing Radiation Dose in Brain Computed Tomography Scan using Scan Parameter Modification Choopani, Mohammad Reza Abedi, Iraj Dalvand, Fatemeh J Med Signals Sens Original Article BACKGROUND: High radiation dose of patients has become a concern in the computed tomography (CT) examinations. The aim of this study is to guide the radiology technician in modifying or optimizing the underlying parameters of the CT scan to reduce the patient radiation dose and produce an acceptable image quality for diagnosis. METHODS: The body mass measurement device phantom was repeatedly scanned by changing the scan parameters. To analyze the image quality, software-based and observer-based evaluations were employed. To study the effect of scan parameters such as slice thickness and reconstruction filter on image quality and radiation dose, the structural equation modeling was used. RESULTS: By changing the reconstruction filter from standard to soft and slice thickness from 2.5 mm to 5 mm, low-contrast resolution did not change significantly. In addition, by increasing the slice thickness and changing the reconstruction filter, the spatial resolution at different radiation conditions did not significantly differ from the standard irradiation conditions (P > 0.05). CONCLUSION: In this study, it was shown that in the brain CT scan imaging, the radiation dose was reduced by 30%–50% by increasing the slice thickness or changing the reconstruction filter. It is necessary to adjust the CT scan protocols according to clinical requirements or the special conditions of some patients while maintaining acceptable image quality. Wolters Kluwer - Medknow 2022-07-26 /pmc/articles/PMC9480513/ /pubmed/36120405 http://dx.doi.org/10.4103/jmss.JMSS_83_20 Text en Copyright: © 2022 Journal of Medical Signals & Sensors https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Choopani, Mohammad Reza
Abedi, Iraj
Dalvand, Fatemeh
Pragmatic Approaches to Reducing Radiation Dose in Brain Computed Tomography Scan using Scan Parameter Modification
title Pragmatic Approaches to Reducing Radiation Dose in Brain Computed Tomography Scan using Scan Parameter Modification
title_full Pragmatic Approaches to Reducing Radiation Dose in Brain Computed Tomography Scan using Scan Parameter Modification
title_fullStr Pragmatic Approaches to Reducing Radiation Dose in Brain Computed Tomography Scan using Scan Parameter Modification
title_full_unstemmed Pragmatic Approaches to Reducing Radiation Dose in Brain Computed Tomography Scan using Scan Parameter Modification
title_short Pragmatic Approaches to Reducing Radiation Dose in Brain Computed Tomography Scan using Scan Parameter Modification
title_sort pragmatic approaches to reducing radiation dose in brain computed tomography scan using scan parameter modification
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9480513/
https://www.ncbi.nlm.nih.gov/pubmed/36120405
http://dx.doi.org/10.4103/jmss.JMSS_83_20
work_keys_str_mv AT choopanimohammadreza pragmaticapproachestoreducingradiationdoseinbraincomputedtomographyscanusingscanparametermodification
AT abediiraj pragmaticapproachestoreducingradiationdoseinbraincomputedtomographyscanusingscanparametermodification
AT dalvandfatemeh pragmaticapproachestoreducingradiationdoseinbraincomputedtomographyscanusingscanparametermodification