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Computed tomography dose index and dose length product for cone‐beam CT: Monte Carlo simulations of a commercial system

Dosimetry in kilovoltage cone beam computed tomography (CBCT) is a challenge due to the limitation of physical measurements. To address this, we used a Monte Carlo (MC) method to estimate the CT dose index (CTDI) and the dose length product (DLP) for a commercial CBCT system. As Dixon and Boone ((1)...

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Autores principales: Kim, Sangroh, Song, Haijun, Samei, Ehsan, Yin, Fang‐Fang, Yoshizumi, Terry T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5718669/
https://www.ncbi.nlm.nih.gov/pubmed/21587186
http://dx.doi.org/10.1120/jacmp.v12i2.3395
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author Kim, Sangroh
Song, Haijun
Samei, Ehsan
Yin, Fang‐Fang
Yoshizumi, Terry T.
author_facet Kim, Sangroh
Song, Haijun
Samei, Ehsan
Yin, Fang‐Fang
Yoshizumi, Terry T.
author_sort Kim, Sangroh
collection PubMed
description Dosimetry in kilovoltage cone beam computed tomography (CBCT) is a challenge due to the limitation of physical measurements. To address this, we used a Monte Carlo (MC) method to estimate the CT dose index (CTDI) and the dose length product (DLP) for a commercial CBCT system. As Dixon and Boone ((1)) showed that CTDI concept can be applicable to both CBCT and conventional CT, we evaluated weighted CT dose index [Formula: see text] and DLP for a commercial CBCT system. Two extended CT phantoms were created in our BEAMnrc/EGSnrc MC system. Before the simulations, the beam collimation of a Varian On‐Board Imager (OBI) system was measured with radiochromic films (model: XR‐QA). The MC model of the OBI X‐ray tube, validated in a previous study, was used to acquire the phase space files of the full‐fan and half‐fan cone beams. Then, DOSXYZnrc user code simulated a total of 20 CBCT scans for the nominal beam widths from 1 cm to 10 cm. After the simulations, CBCT dose profiles at center and peripheral locations were extracted and integrated (dose profile integral, DPI) to calculate the CTDI per each beam width. The weighted cone‐beam CTDI [Formula: see text] was calculated from DPI values and mean [Formula: see text] and DLP were derived. We also evaluated the differences of [Formula: see text] values between MC simulations and point dose measurements using standard CT phantoms. In results, it was found that [Formula: see text] was [Formula: see text] cGy for head and [Formula: see text] was [Formula: see text] cGy for body scan. The DLP was found to be proportional to the beam collimation. We also found that the point dose measurements with standard CT phantoms can estimate the CTDI within 3% difference compared to the full integrated CTDI from the MC method. This study showed the usability of CTDI as a dose index and DLP as a total dose descriptor in CBCT scans. PACS number: 87.57.uq
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spelling pubmed-57186692018-04-02 Computed tomography dose index and dose length product for cone‐beam CT: Monte Carlo simulations of a commercial system Kim, Sangroh Song, Haijun Samei, Ehsan Yin, Fang‐Fang Yoshizumi, Terry T. J Appl Clin Med Phys Radiation Oncology Physics Dosimetry in kilovoltage cone beam computed tomography (CBCT) is a challenge due to the limitation of physical measurements. To address this, we used a Monte Carlo (MC) method to estimate the CT dose index (CTDI) and the dose length product (DLP) for a commercial CBCT system. As Dixon and Boone ((1)) showed that CTDI concept can be applicable to both CBCT and conventional CT, we evaluated weighted CT dose index [Formula: see text] and DLP for a commercial CBCT system. Two extended CT phantoms were created in our BEAMnrc/EGSnrc MC system. Before the simulations, the beam collimation of a Varian On‐Board Imager (OBI) system was measured with radiochromic films (model: XR‐QA). The MC model of the OBI X‐ray tube, validated in a previous study, was used to acquire the phase space files of the full‐fan and half‐fan cone beams. Then, DOSXYZnrc user code simulated a total of 20 CBCT scans for the nominal beam widths from 1 cm to 10 cm. After the simulations, CBCT dose profiles at center and peripheral locations were extracted and integrated (dose profile integral, DPI) to calculate the CTDI per each beam width. The weighted cone‐beam CTDI [Formula: see text] was calculated from DPI values and mean [Formula: see text] and DLP were derived. We also evaluated the differences of [Formula: see text] values between MC simulations and point dose measurements using standard CT phantoms. In results, it was found that [Formula: see text] was [Formula: see text] cGy for head and [Formula: see text] was [Formula: see text] cGy for body scan. The DLP was found to be proportional to the beam collimation. We also found that the point dose measurements with standard CT phantoms can estimate the CTDI within 3% difference compared to the full integrated CTDI from the MC method. This study showed the usability of CTDI as a dose index and DLP as a total dose descriptor in CBCT scans. PACS number: 87.57.uq John Wiley and Sons Inc. 2011-01-19 /pmc/articles/PMC5718669/ /pubmed/21587186 http://dx.doi.org/10.1120/jacmp.v12i2.3395 Text en © 2011 The Authors. https://creativecommons.org/licenses/by/3.0/This is an open access article under the terms of the Creative Commons Attribution (https://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
Kim, Sangroh
Song, Haijun
Samei, Ehsan
Yin, Fang‐Fang
Yoshizumi, Terry T.
Computed tomography dose index and dose length product for cone‐beam CT: Monte Carlo simulations of a commercial system
title Computed tomography dose index and dose length product for cone‐beam CT: Monte Carlo simulations of a commercial system
title_full Computed tomography dose index and dose length product for cone‐beam CT: Monte Carlo simulations of a commercial system
title_fullStr Computed tomography dose index and dose length product for cone‐beam CT: Monte Carlo simulations of a commercial system
title_full_unstemmed Computed tomography dose index and dose length product for cone‐beam CT: Monte Carlo simulations of a commercial system
title_short Computed tomography dose index and dose length product for cone‐beam CT: Monte Carlo simulations of a commercial system
title_sort computed tomography dose index and dose length product for cone‐beam ct: monte carlo simulations of a commercial system
topic Radiation Oncology Physics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5718669/
https://www.ncbi.nlm.nih.gov/pubmed/21587186
http://dx.doi.org/10.1120/jacmp.v12i2.3395
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