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CBCT image quality QA: Establishing a quantitative program

PURPOSE: Routine quality assurance (QA) of cone‐beam computed tomography (CBCT) scans used for image‐guided radiotherapy is prescribed by the American Association of Physicists in Medicine Task Group (TG)‐142 report. For CBCT image quality, TG‐142 recommends using clinically established baseline val...

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Autores principales: Taneja, Sameer, Barbee, David L., Rea, Anthony J., Malin, Martha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7701111/
https://www.ncbi.nlm.nih.gov/pubmed/33078562
http://dx.doi.org/10.1002/acm2.13062
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author Taneja, Sameer
Barbee, David L.
Rea, Anthony J.
Malin, Martha
author_facet Taneja, Sameer
Barbee, David L.
Rea, Anthony J.
Malin, Martha
author_sort Taneja, Sameer
collection PubMed
description PURPOSE: Routine quality assurance (QA) of cone‐beam computed tomography (CBCT) scans used for image‐guided radiotherapy is prescribed by the American Association of Physicists in Medicine Task Group (TG)‐142 report. For CBCT image quality, TG‐142 recommends using clinically established baseline values as QA tolerances. This work examined how image quality parameters vary both across machines of the same model and across different CBCT techniques. Additionally, this work investigated how image quality values are affected by imager recalibration and repeated exposures during routine QA. METHODS: Cone‐beam computed tomography scans of the Catphan 604 phantom were taken on four TrueBeam® and one Edge™ linear accelerator using four manufacturer‐provided techniques. TG‐142 image quality parameters were calculated for each CBCT scan using SunCHECK Machine™. The variability of each parameter with machine and technique was evaluated using a two‐way ANOVA test on a dataset consisting of 200 CBCT scans. The impact of imager calibration on image quality parameters was examined for a subset of three machines using an unpaired Student’s t‐test. The effect of artifacts appearing on CBCTs taken in rapid succession was characterized and an approach to reduce their appearance was evaluated. Additionally, a set of baselines and tolerances for all image quality metrics was presented. RESULTS: All imaging parameters except geometric distortion varied with technique (P < 0.05) and all imaging parameters except slice thickness varied with machine (P < 0.05). Imager calibration can change the expected value of all imaging parameters, though it does not consistently do so. While changes are statistically significant, they may not be clinically significant. Finally, rapid acquisition of CBCT scans can introduce image artifacts that degrade CBCT uniformity. CONCLUSIONS: This work characterized the variability of acquired CBCT data across machines and CBCT techniques along with the impact of imager calibration and rapid CBCT acquisition on image quality.
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spelling pubmed-77011112020-12-03 CBCT image quality QA: Establishing a quantitative program Taneja, Sameer Barbee, David L. Rea, Anthony J. Malin, Martha J Appl Clin Med Phys Medical Imaging PURPOSE: Routine quality assurance (QA) of cone‐beam computed tomography (CBCT) scans used for image‐guided radiotherapy is prescribed by the American Association of Physicists in Medicine Task Group (TG)‐142 report. For CBCT image quality, TG‐142 recommends using clinically established baseline values as QA tolerances. This work examined how image quality parameters vary both across machines of the same model and across different CBCT techniques. Additionally, this work investigated how image quality values are affected by imager recalibration and repeated exposures during routine QA. METHODS: Cone‐beam computed tomography scans of the Catphan 604 phantom were taken on four TrueBeam® and one Edge™ linear accelerator using four manufacturer‐provided techniques. TG‐142 image quality parameters were calculated for each CBCT scan using SunCHECK Machine™. The variability of each parameter with machine and technique was evaluated using a two‐way ANOVA test on a dataset consisting of 200 CBCT scans. The impact of imager calibration on image quality parameters was examined for a subset of three machines using an unpaired Student’s t‐test. The effect of artifacts appearing on CBCTs taken in rapid succession was characterized and an approach to reduce their appearance was evaluated. Additionally, a set of baselines and tolerances for all image quality metrics was presented. RESULTS: All imaging parameters except geometric distortion varied with technique (P < 0.05) and all imaging parameters except slice thickness varied with machine (P < 0.05). Imager calibration can change the expected value of all imaging parameters, though it does not consistently do so. While changes are statistically significant, they may not be clinically significant. Finally, rapid acquisition of CBCT scans can introduce image artifacts that degrade CBCT uniformity. CONCLUSIONS: This work characterized the variability of acquired CBCT data across machines and CBCT techniques along with the impact of imager calibration and rapid CBCT acquisition on image quality. John Wiley and Sons Inc. 2020-10-19 /pmc/articles/PMC7701111/ /pubmed/33078562 http://dx.doi.org/10.1002/acm2.13062 Text en © 2020 The Authors. Journal of Applied Clinical Medical Physics published by Wiley Periodicals, LLC on behalf of American Association of Physicists in Medicine. This is an open access article under the terms of the http://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
Taneja, Sameer
Barbee, David L.
Rea, Anthony J.
Malin, Martha
CBCT image quality QA: Establishing a quantitative program
title CBCT image quality QA: Establishing a quantitative program
title_full CBCT image quality QA: Establishing a quantitative program
title_fullStr CBCT image quality QA: Establishing a quantitative program
title_full_unstemmed CBCT image quality QA: Establishing a quantitative program
title_short CBCT image quality QA: Establishing a quantitative program
title_sort cbct image quality qa: establishing a quantitative program
topic Medical Imaging
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7701111/
https://www.ncbi.nlm.nih.gov/pubmed/33078562
http://dx.doi.org/10.1002/acm2.13062
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