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Dictionary-based protoacoustic dose map imaging for proton range verification

Proton radiotherapy has the potential to provide state-of-the-art dose conformality in the tumor area, reducing possible adverse effects on surrounding organs at risk. However, uncertainties in the exact location of the proton Bragg peak inside the patient prevent this technique from achieving full...

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Autores principales: Freijo, Clara, Herraiz, Joaquin L., Sanchez-Parcerisa, Daniel, Udias, José Manuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7820918/
https://www.ncbi.nlm.nih.gov/pubmed/33520652
http://dx.doi.org/10.1016/j.pacs.2021.100240
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author Freijo, Clara
Herraiz, Joaquin L.
Sanchez-Parcerisa, Daniel
Udias, José Manuel
author_facet Freijo, Clara
Herraiz, Joaquin L.
Sanchez-Parcerisa, Daniel
Udias, José Manuel
author_sort Freijo, Clara
collection PubMed
description Proton radiotherapy has the potential to provide state-of-the-art dose conformality in the tumor area, reducing possible adverse effects on surrounding organs at risk. However, uncertainties in the exact location of the proton Bragg peak inside the patient prevent this technique from achieving full clinical potential. In this context, in vivo verification of the range of protons in patients is key to reduce uncertainty margins. Protoacoustic range verification employs acoustic pressure waves generated by protons due to the radio-induced thermoacoustic effect to reconstruct the dose deposited in a patient during proton therapy. In this paper, we propose to use the a priori knowledge of the shape of the proton dose distribution to create a dictionary with the expected ultrasonic signals at predetermined detector locations. Using this dictionary, the reconstruction of deposited dose is performed by matching pre-calculated dictionary acoustic signals with data acquired online during treatment. The dictionary method was evaluated on a single-field proton plan for a prostate cancer patient. Dose calculation was performed with the open-source treatment planning system matRad, while acoustic wave propagation was carried out with k-Wave. We studied the ability of the proposed dictionary method to detect range variations caused by anatomical changes in tissue density, and alterations of lateral and longitudinal beam position. Our results show that the dictionary-based protoacoustic method was able to identify the changes in range originated by all the alterations introduced, with an average accuracy of 1.4 mm. This procedure could be used for in vivo verification, comparing the measured signals with the precalculated dictionary.
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spelling pubmed-78209182021-01-29 Dictionary-based protoacoustic dose map imaging for proton range verification Freijo, Clara Herraiz, Joaquin L. Sanchez-Parcerisa, Daniel Udias, José Manuel Photoacoustics Research Article Proton radiotherapy has the potential to provide state-of-the-art dose conformality in the tumor area, reducing possible adverse effects on surrounding organs at risk. However, uncertainties in the exact location of the proton Bragg peak inside the patient prevent this technique from achieving full clinical potential. In this context, in vivo verification of the range of protons in patients is key to reduce uncertainty margins. Protoacoustic range verification employs acoustic pressure waves generated by protons due to the radio-induced thermoacoustic effect to reconstruct the dose deposited in a patient during proton therapy. In this paper, we propose to use the a priori knowledge of the shape of the proton dose distribution to create a dictionary with the expected ultrasonic signals at predetermined detector locations. Using this dictionary, the reconstruction of deposited dose is performed by matching pre-calculated dictionary acoustic signals with data acquired online during treatment. The dictionary method was evaluated on a single-field proton plan for a prostate cancer patient. Dose calculation was performed with the open-source treatment planning system matRad, while acoustic wave propagation was carried out with k-Wave. We studied the ability of the proposed dictionary method to detect range variations caused by anatomical changes in tissue density, and alterations of lateral and longitudinal beam position. Our results show that the dictionary-based protoacoustic method was able to identify the changes in range originated by all the alterations introduced, with an average accuracy of 1.4 mm. This procedure could be used for in vivo verification, comparing the measured signals with the precalculated dictionary. Elsevier 2021-01-16 /pmc/articles/PMC7820918/ /pubmed/33520652 http://dx.doi.org/10.1016/j.pacs.2021.100240 Text en © 2021 The Authors. Published by Elsevier GmbH. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Freijo, Clara
Herraiz, Joaquin L.
Sanchez-Parcerisa, Daniel
Udias, José Manuel
Dictionary-based protoacoustic dose map imaging for proton range verification
title Dictionary-based protoacoustic dose map imaging for proton range verification
title_full Dictionary-based protoacoustic dose map imaging for proton range verification
title_fullStr Dictionary-based protoacoustic dose map imaging for proton range verification
title_full_unstemmed Dictionary-based protoacoustic dose map imaging for proton range verification
title_short Dictionary-based protoacoustic dose map imaging for proton range verification
title_sort dictionary-based protoacoustic dose map imaging for proton range verification
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7820918/
https://www.ncbi.nlm.nih.gov/pubmed/33520652
http://dx.doi.org/10.1016/j.pacs.2021.100240
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