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Optimal parameters for clinical implementation of breast cancer patient setup using Varian DTS software

Digital tomosynthesis (DTS) was evaluated as an alternative to cone‐beam computed tomography (CBCT) for patient setup. DTS is preferable when there are constraints with setup time, gantry‐couch clearance, and imaging dose using CBCT. This study characterizes DTS data acquisition and registration par...

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Autores principales: Ng, Sook Kien, Zygmanski, Piotr, Jeung, Andrew, Mostafavi, Hassan, Hesser, Juergen, Bellon, Jennifer R., Wong, Julia S., Lyatskaya, Yulia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5716556/
https://www.ncbi.nlm.nih.gov/pubmed/22584175
http://dx.doi.org/10.1120/jacmp.v13i3.3752
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author Ng, Sook Kien
Zygmanski, Piotr
Jeung, Andrew
Mostafavi, Hassan
Hesser, Juergen
Bellon, Jennifer R.
Wong, Julia S.
Lyatskaya, Yulia
author_facet Ng, Sook Kien
Zygmanski, Piotr
Jeung, Andrew
Mostafavi, Hassan
Hesser, Juergen
Bellon, Jennifer R.
Wong, Julia S.
Lyatskaya, Yulia
author_sort Ng, Sook Kien
collection PubMed
description Digital tomosynthesis (DTS) was evaluated as an alternative to cone‐beam computed tomography (CBCT) for patient setup. DTS is preferable when there are constraints with setup time, gantry‐couch clearance, and imaging dose using CBCT. This study characterizes DTS data acquisition and registration parameters for the setup of breast cancer patients using nonclinical Varian DTS software. DTS images were reconstructed from CBCT projections acquired on phantoms and patients with surgical clips in the target volume. A shift‐and‐add algorithm was used for DTS volume reconstructions, while automated cross‐correlation matches were performed within Varian DTS software. Triangulation on two short DTS arcs separated by various angular spread was done to improve 3D registration accuracy. Software performance was evaluated on two phantoms and ten breast cancer patients using the registration result as an accuracy measure; investigated parameters included arc lengths, arc orientations, angular separation between two arcs, reconstruction slice spacing, and number of arcs. The shifts determined from DTS‐to‐CT registration were compared to the shifts based on CBCT‐to‐CT registration. The difference between these shifts was used to evaluate the software accuracy. After findings were quantified, optimal parameters for the clinical use of DTS technique were determined. It was determined that at least two arcs were necessary for accurate 3D registration for patient setup. Registration accuracy of 2 mm was achieved when the reconstruction arc length was [Formula: see text] for clips with HU [Formula: see text]; larger arc length ([Formula: see text]) was required for very low HU clips. An optimal arc separation was found to be [Formula: see text] and optimal arc length was 10°. Registration accuracy did not depend on DTS slice spacing. DTS image reconstruction took 10–30 seconds and registration took less than 20 seconds. The performance of Varian DTS software was found suitable for the accurate setup of breast cancer patients. Optimal data acquisition and registration parameters were determined. PACS numbers: 87.57.‐s, 87.57.nf, 87.57.nj
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spelling pubmed-57165562018-04-02 Optimal parameters for clinical implementation of breast cancer patient setup using Varian DTS software Ng, Sook Kien Zygmanski, Piotr Jeung, Andrew Mostafavi, Hassan Hesser, Juergen Bellon, Jennifer R. Wong, Julia S. Lyatskaya, Yulia J Appl Clin Med Phys Radiation Oncology Physics Digital tomosynthesis (DTS) was evaluated as an alternative to cone‐beam computed tomography (CBCT) for patient setup. DTS is preferable when there are constraints with setup time, gantry‐couch clearance, and imaging dose using CBCT. This study characterizes DTS data acquisition and registration parameters for the setup of breast cancer patients using nonclinical Varian DTS software. DTS images were reconstructed from CBCT projections acquired on phantoms and patients with surgical clips in the target volume. A shift‐and‐add algorithm was used for DTS volume reconstructions, while automated cross‐correlation matches were performed within Varian DTS software. Triangulation on two short DTS arcs separated by various angular spread was done to improve 3D registration accuracy. Software performance was evaluated on two phantoms and ten breast cancer patients using the registration result as an accuracy measure; investigated parameters included arc lengths, arc orientations, angular separation between two arcs, reconstruction slice spacing, and number of arcs. The shifts determined from DTS‐to‐CT registration were compared to the shifts based on CBCT‐to‐CT registration. The difference between these shifts was used to evaluate the software accuracy. After findings were quantified, optimal parameters for the clinical use of DTS technique were determined. It was determined that at least two arcs were necessary for accurate 3D registration for patient setup. Registration accuracy of 2 mm was achieved when the reconstruction arc length was [Formula: see text] for clips with HU [Formula: see text]; larger arc length ([Formula: see text]) was required for very low HU clips. An optimal arc separation was found to be [Formula: see text] and optimal arc length was 10°. Registration accuracy did not depend on DTS slice spacing. DTS image reconstruction took 10–30 seconds and registration took less than 20 seconds. The performance of Varian DTS software was found suitable for the accurate setup of breast cancer patients. Optimal data acquisition and registration parameters were determined. PACS numbers: 87.57.‐s, 87.57.nf, 87.57.nj John Wiley and Sons Inc. 2012-05-10 /pmc/articles/PMC5716556/ /pubmed/22584175 http://dx.doi.org/10.1120/jacmp.v13i3.3752 Text en © 2012 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 Radiation Oncology Physics
Ng, Sook Kien
Zygmanski, Piotr
Jeung, Andrew
Mostafavi, Hassan
Hesser, Juergen
Bellon, Jennifer R.
Wong, Julia S.
Lyatskaya, Yulia
Optimal parameters for clinical implementation of breast cancer patient setup using Varian DTS software
title Optimal parameters for clinical implementation of breast cancer patient setup using Varian DTS software
title_full Optimal parameters for clinical implementation of breast cancer patient setup using Varian DTS software
title_fullStr Optimal parameters for clinical implementation of breast cancer patient setup using Varian DTS software
title_full_unstemmed Optimal parameters for clinical implementation of breast cancer patient setup using Varian DTS software
title_short Optimal parameters for clinical implementation of breast cancer patient setup using Varian DTS software
title_sort optimal parameters for clinical implementation of breast cancer patient setup using varian dts software
topic Radiation Oncology Physics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5716556/
https://www.ncbi.nlm.nih.gov/pubmed/22584175
http://dx.doi.org/10.1120/jacmp.v13i3.3752
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