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Computed tomography imaging parameters for inhomogeneity correction in radiation treatment planning

Modern treatment planning systems provide accurate dosimetry in heterogeneous media (such as a patient' body) with the help of tissue characterization based on computed tomography (CT) number. However, CT number depends on the type of scanner, tube voltage, field of view (FOV), reconstruction a...

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Autores principales: Das, Indra J., Cheng, Chee-Wai, Cao, Minsong, Johnstone, Peter A. S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4795414/
https://www.ncbi.nlm.nih.gov/pubmed/27051164
http://dx.doi.org/10.4103/0971-6203.177277
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author Das, Indra J.
Cheng, Chee-Wai
Cao, Minsong
Johnstone, Peter A. S.
author_facet Das, Indra J.
Cheng, Chee-Wai
Cao, Minsong
Johnstone, Peter A. S.
author_sort Das, Indra J.
collection PubMed
description Modern treatment planning systems provide accurate dosimetry in heterogeneous media (such as a patient' body) with the help of tissue characterization based on computed tomography (CT) number. However, CT number depends on the type of scanner, tube voltage, field of view (FOV), reconstruction algorithm including artifact reduction and processing filters. The impact of these parameters on CT to electron density (ED) conversion had been subject of investigation for treatment planning in various clinical situations. This is usually performed with a tissue characterization phantom with various density plugs acquired with different tube voltages (kilovoltage peak), FOV reconstruction and different scanners to generate CT number to ED tables. This article provides an overview of inhomogeneity correction in the context of CT scanning and a new evaluation tool, difference volume dose-volume histogram (DVH), dV-DVH. It has been concluded that scanner and CT parameters are important for tissue characterizations, but changes in ED are minimal and only pronounced for higher density materials. For lungs, changes in CT number are minimal among scanners and CT parameters. Dosimetric differences for lung and prostate cases are usually insignificant (<2%) in three-dimensional conformal radiation therapy and < 5% for intensity-modulated radiation therapy (IMRT) with CT parameters. It could be concluded that CT number variability is dependent on acquisition parameters, but its dosimetric impact is pronounced only in high-density media and possibly in IMRT. In view of such small dosimetric changes in low-density medium, the acquisition of additional CT data for financially difficult clinics and countries may not be warranted.
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spelling pubmed-47954142016-04-05 Computed tomography imaging parameters for inhomogeneity correction in radiation treatment planning Das, Indra J. Cheng, Chee-Wai Cao, Minsong Johnstone, Peter A. S. J Med Phys Review Article Modern treatment planning systems provide accurate dosimetry in heterogeneous media (such as a patient' body) with the help of tissue characterization based on computed tomography (CT) number. However, CT number depends on the type of scanner, tube voltage, field of view (FOV), reconstruction algorithm including artifact reduction and processing filters. The impact of these parameters on CT to electron density (ED) conversion had been subject of investigation for treatment planning in various clinical situations. This is usually performed with a tissue characterization phantom with various density plugs acquired with different tube voltages (kilovoltage peak), FOV reconstruction and different scanners to generate CT number to ED tables. This article provides an overview of inhomogeneity correction in the context of CT scanning and a new evaluation tool, difference volume dose-volume histogram (DVH), dV-DVH. It has been concluded that scanner and CT parameters are important for tissue characterizations, but changes in ED are minimal and only pronounced for higher density materials. For lungs, changes in CT number are minimal among scanners and CT parameters. Dosimetric differences for lung and prostate cases are usually insignificant (<2%) in three-dimensional conformal radiation therapy and < 5% for intensity-modulated radiation therapy (IMRT) with CT parameters. It could be concluded that CT number variability is dependent on acquisition parameters, but its dosimetric impact is pronounced only in high-density media and possibly in IMRT. In view of such small dosimetric changes in low-density medium, the acquisition of additional CT data for financially difficult clinics and countries may not be warranted. Medknow Publications & Media Pvt Ltd 2016 /pmc/articles/PMC4795414/ /pubmed/27051164 http://dx.doi.org/10.4103/0971-6203.177277 Text en Copyright: © Journal of Medical Physics http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.
spellingShingle Review Article
Das, Indra J.
Cheng, Chee-Wai
Cao, Minsong
Johnstone, Peter A. S.
Computed tomography imaging parameters for inhomogeneity correction in radiation treatment planning
title Computed tomography imaging parameters for inhomogeneity correction in radiation treatment planning
title_full Computed tomography imaging parameters for inhomogeneity correction in radiation treatment planning
title_fullStr Computed tomography imaging parameters for inhomogeneity correction in radiation treatment planning
title_full_unstemmed Computed tomography imaging parameters for inhomogeneity correction in radiation treatment planning
title_short Computed tomography imaging parameters for inhomogeneity correction in radiation treatment planning
title_sort computed tomography imaging parameters for inhomogeneity correction in radiation treatment planning
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4795414/
https://www.ncbi.nlm.nih.gov/pubmed/27051164
http://dx.doi.org/10.4103/0971-6203.177277
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