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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2012
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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 |
format | Online Article Text |
id | pubmed-5716556 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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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