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Size‐based protocol optimization using automatic tube current modulation and automatic kV selection in computed tomography

Size‐based diagnostic reference ranges (DRRs) for contrast‐enhanced pediatric abdominal computed tomography (CT) have been published in order to establish practical upper and lower limits of CTDI, DLP, and SSDE. Based on these DRRs, guidelines for establishing size‐based SSDE target levels from the...

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Autores principales: MacDougall, Robert D., Kleinman, Patricia L., Callahan, Michael J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5690190/
https://www.ncbi.nlm.nih.gov/pubmed/26894344
http://dx.doi.org/10.1120/jacmp.v17i1.5756
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author MacDougall, Robert D.
Kleinman, Patricia L.
Callahan, Michael J.
author_facet MacDougall, Robert D.
Kleinman, Patricia L.
Callahan, Michael J.
author_sort MacDougall, Robert D.
collection PubMed
description Size‐based diagnostic reference ranges (DRRs) for contrast‐enhanced pediatric abdominal computed tomography (CT) have been published in order to establish practical upper and lower limits of CTDI, DLP, and SSDE. Based on these DRRs, guidelines for establishing size‐based SSDE target levels from the SSDE of a standard adult by applying a linear correction factor have been published and provide a great reference for dose optimization initiatives. The necessary step of designing manufacturer‐specific CT protocols to achieve established SSDE targets is the responsibility of the Qualified Medical Physicist. The task is straightforward if fixed‐mA protocols are used, however, more difficult when automatic exposure control (AEC) and automatic kV selection are considered. In such cases, the physicist must deduce the operation of AEC algorithms from technical documentation or through testing, using a wide range of phantom sizes. Our study presents the results of such testing using anthropomorphic phantoms ranging in size from the newborn to the obese adult. The effect of each user‐controlled parameter was modeled for a single‐manufacturer AEC algorithm (Siemens CARE Dose4D) and automatic kV selection algorithm (Siemens CARE kV). Based on the results presented in this study, a process for designing mA‐modulated, pediatric abdominal CT protocols that achieve user‐defined SSDE and kV targets is described. PACS numbers: 87.57.Q‐, 87.57.qp, 87.53.Bn
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spelling pubmed-56901902018-04-02 Size‐based protocol optimization using automatic tube current modulation and automatic kV selection in computed tomography MacDougall, Robert D. Kleinman, Patricia L. Callahan, Michael J. J Appl Clin Med Phys Medical Imaging Size‐based diagnostic reference ranges (DRRs) for contrast‐enhanced pediatric abdominal computed tomography (CT) have been published in order to establish practical upper and lower limits of CTDI, DLP, and SSDE. Based on these DRRs, guidelines for establishing size‐based SSDE target levels from the SSDE of a standard adult by applying a linear correction factor have been published and provide a great reference for dose optimization initiatives. The necessary step of designing manufacturer‐specific CT protocols to achieve established SSDE targets is the responsibility of the Qualified Medical Physicist. The task is straightforward if fixed‐mA protocols are used, however, more difficult when automatic exposure control (AEC) and automatic kV selection are considered. In such cases, the physicist must deduce the operation of AEC algorithms from technical documentation or through testing, using a wide range of phantom sizes. Our study presents the results of such testing using anthropomorphic phantoms ranging in size from the newborn to the obese adult. The effect of each user‐controlled parameter was modeled for a single‐manufacturer AEC algorithm (Siemens CARE Dose4D) and automatic kV selection algorithm (Siemens CARE kV). Based on the results presented in this study, a process for designing mA‐modulated, pediatric abdominal CT protocols that achieve user‐defined SSDE and kV targets is described. PACS numbers: 87.57.Q‐, 87.57.qp, 87.53.Bn John Wiley and Sons Inc. 2016-01-08 /pmc/articles/PMC5690190/ /pubmed/26894344 http://dx.doi.org/10.1120/jacmp.v17i1.5756 Text en © 2016 The Authors. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/3.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Medical Imaging
MacDougall, Robert D.
Kleinman, Patricia L.
Callahan, Michael J.
Size‐based protocol optimization using automatic tube current modulation and automatic kV selection in computed tomography
title Size‐based protocol optimization using automatic tube current modulation and automatic kV selection in computed tomography
title_full Size‐based protocol optimization using automatic tube current modulation and automatic kV selection in computed tomography
title_fullStr Size‐based protocol optimization using automatic tube current modulation and automatic kV selection in computed tomography
title_full_unstemmed Size‐based protocol optimization using automatic tube current modulation and automatic kV selection in computed tomography
title_short Size‐based protocol optimization using automatic tube current modulation and automatic kV selection in computed tomography
title_sort size‐based protocol optimization using automatic tube current modulation and automatic kv selection in computed tomography
topic Medical Imaging
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5690190/
https://www.ncbi.nlm.nih.gov/pubmed/26894344
http://dx.doi.org/10.1120/jacmp.v17i1.5756
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