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Single-Pulse X-ray Acoustic Computed Tomographic Imaging for Precision Radiation Therapy
PURPOSE: High-precision radiation therapy is crucial for cancer treatment. Currently, the delivered dose can only be verified via simulations with phantoms, and an in-tumor, online dose verification is still unavailable. An innovative detection method called x-ray–induced acoustic computed tomograph...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10276220/ https://www.ncbi.nlm.nih.gov/pubmed/37334315 http://dx.doi.org/10.1016/j.adro.2023.101239 |
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author | Gonzalez, Gilberto Prather, Kiana Pandey, Prabodh Kumar Sun, Leshan Caron, Joseph Wang, Siqi Ahmad, Salahuddin Xiang, Liangzhong Chen, Yong |
author_facet | Gonzalez, Gilberto Prather, Kiana Pandey, Prabodh Kumar Sun, Leshan Caron, Joseph Wang, Siqi Ahmad, Salahuddin Xiang, Liangzhong Chen, Yong |
author_sort | Gonzalez, Gilberto |
collection | PubMed |
description | PURPOSE: High-precision radiation therapy is crucial for cancer treatment. Currently, the delivered dose can only be verified via simulations with phantoms, and an in-tumor, online dose verification is still unavailable. An innovative detection method called x-ray–induced acoustic computed tomography (XACT) has recently shown the potential for imaging the delivered radiation dose within the tumor. Prior XACT imaging systems have required tens to hundreds of signal averages to achieve high-quality dose images within the patient, which reduces its real-time capability. Here, we demonstrate that XACT dose images can be reproduced from a single x-ray pulse (4 µs) with sub-mGy sensitivity from a clinical linear accelerator. METHODS AND MATERIALS: By immersing an acoustic transducer in a homogeneous medium, it is possible to detect pressure waves generated by the pulsed radiation from a clinical linear accelerator. After rotating the collimator, signals of different angles are obtained to perform a tomographic reconstruction of the dose field. Using 2-stage amplification with further bandpass filtering increases the signal-to-noise ratio (SNR). RESULTS: Acoustic peak SNR and voltage values were recorded for singular and dual-amplifying stages. The SNR for single-pulse mode was able to satisfy the Rose criterion, and the collected signals were able to reconstruct 2-dimensional images from the 2 homogeneous media. CONCLUSIONS: By overcoming the low SNR and requirement of signal averaging, single-pulse XACT imaging holds great potential for personalized dose monitoring from each individual pulse during radiation therapy. |
format | Online Article Text |
id | pubmed-10276220 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-102762202023-06-18 Single-Pulse X-ray Acoustic Computed Tomographic Imaging for Precision Radiation Therapy Gonzalez, Gilberto Prather, Kiana Pandey, Prabodh Kumar Sun, Leshan Caron, Joseph Wang, Siqi Ahmad, Salahuddin Xiang, Liangzhong Chen, Yong Adv Radiat Oncol Scientific Article PURPOSE: High-precision radiation therapy is crucial for cancer treatment. Currently, the delivered dose can only be verified via simulations with phantoms, and an in-tumor, online dose verification is still unavailable. An innovative detection method called x-ray–induced acoustic computed tomography (XACT) has recently shown the potential for imaging the delivered radiation dose within the tumor. Prior XACT imaging systems have required tens to hundreds of signal averages to achieve high-quality dose images within the patient, which reduces its real-time capability. Here, we demonstrate that XACT dose images can be reproduced from a single x-ray pulse (4 µs) with sub-mGy sensitivity from a clinical linear accelerator. METHODS AND MATERIALS: By immersing an acoustic transducer in a homogeneous medium, it is possible to detect pressure waves generated by the pulsed radiation from a clinical linear accelerator. After rotating the collimator, signals of different angles are obtained to perform a tomographic reconstruction of the dose field. Using 2-stage amplification with further bandpass filtering increases the signal-to-noise ratio (SNR). RESULTS: Acoustic peak SNR and voltage values were recorded for singular and dual-amplifying stages. The SNR for single-pulse mode was able to satisfy the Rose criterion, and the collected signals were able to reconstruct 2-dimensional images from the 2 homogeneous media. CONCLUSIONS: By overcoming the low SNR and requirement of signal averaging, single-pulse XACT imaging holds great potential for personalized dose monitoring from each individual pulse during radiation therapy. Elsevier 2023-04-14 /pmc/articles/PMC10276220/ /pubmed/37334315 http://dx.doi.org/10.1016/j.adro.2023.101239 Text en © 2023 The Authors https://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 | Scientific Article Gonzalez, Gilberto Prather, Kiana Pandey, Prabodh Kumar Sun, Leshan Caron, Joseph Wang, Siqi Ahmad, Salahuddin Xiang, Liangzhong Chen, Yong Single-Pulse X-ray Acoustic Computed Tomographic Imaging for Precision Radiation Therapy |
title | Single-Pulse X-ray Acoustic Computed Tomographic Imaging for Precision Radiation Therapy |
title_full | Single-Pulse X-ray Acoustic Computed Tomographic Imaging for Precision Radiation Therapy |
title_fullStr | Single-Pulse X-ray Acoustic Computed Tomographic Imaging for Precision Radiation Therapy |
title_full_unstemmed | Single-Pulse X-ray Acoustic Computed Tomographic Imaging for Precision Radiation Therapy |
title_short | Single-Pulse X-ray Acoustic Computed Tomographic Imaging for Precision Radiation Therapy |
title_sort | single-pulse x-ray acoustic computed tomographic imaging for precision radiation therapy |
topic | Scientific Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10276220/ https://www.ncbi.nlm.nih.gov/pubmed/37334315 http://dx.doi.org/10.1016/j.adro.2023.101239 |
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