Dual-Modality X-Ray-Induced Radiation Acoustic and Ultrasound Imaging for Real-Time Monitoring of Radiotherapy

Objective. The goal is to increase the precision of radiation delivery during radiotherapy by tracking the movements of the tumor and other surrounding normal tissues due to respiratory and other body motions. Introduction. This work presents the recent advancement of X-ray-induced radiation acousti...

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Main Authors: Wei Zhang, Ibrahim Oraiqat, Hao Lei, Paul L. Carson, Issam EI Naqa, Xueding Wang
Format: Article
Language:English
Published: American Association for the Advancement of Science (AAAS) 2020-01-01
Series:BME Frontiers
Online Access:http://dx.doi.org/10.34133/2020/9853609
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author Wei Zhang
Ibrahim Oraiqat
Hao Lei
Paul L. Carson
Issam EI Naqa
Xueding Wang
author_facet Wei Zhang
Ibrahim Oraiqat
Hao Lei
Paul L. Carson
Issam EI Naqa
Xueding Wang
author_sort Wei Zhang
collection DOAJ
description Objective. The goal is to increase the precision of radiation delivery during radiotherapy by tracking the movements of the tumor and other surrounding normal tissues due to respiratory and other body motions. Introduction. This work presents the recent advancement of X-ray-induced radiation acoustic imaging (xRAI) technology and the evaluation of its feasibility for real-time monitoring of geometric and morphological misalignments of the X-ray field with respect to the target tissue by combining xRAI with established ultrasound (US) imaging, thereby improving radiotherapy tumor eradication and limiting treatment side effects. Methods. An integrated xRAI and B-mode US dual-modality system was established based on a clinic-ready research US platform. The performance of this dual-modality imaging system was evaluated via experiments on phantoms and ex vivo and in vivo rabbit liver models. Results. This system can alternatively switch between the xRAI and the US modes, with spatial resolutions of 1.1 mm and 0.37 mm, respectively. 300 times signal averaging was required for xRAI to reach a satisfactory signal-to-noise ratio, and a frame rate of 1.1 Hz was achieved with a clinical linear accelerator. The US imaging frame rate was 22 Hz, which is sufficient for real-time monitoring of the displacement of the target due to internal body motion. Conclusion. Our developed xRAI, in combination with US imaging, allows for mapping of the dose deposition in biological samples in vivo, in real-time, during radiotherapy. Impact Statement. The US-based image-guided radiotherapy system presented in this work holds great potential for personalized cancer treatment and better outcomes.
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spelling doaj.art-dfddbffecff445f4b4f2f76390d2f5cc2024-03-02T15:19:07ZengAmerican Association for the Advancement of Science (AAAS)BME Frontiers2765-80312020-01-01202010.34133/2020/9853609Dual-Modality X-Ray-Induced Radiation Acoustic and Ultrasound Imaging for Real-Time Monitoring of RadiotherapyWei Zhang0Ibrahim Oraiqat1Hao Lei2Paul L. Carson3Issam EI Naqa4Xueding Wang5Department of Biomedical Engineering, University of Michigan, USADepartment of Radiation Oncology, University of Michigan, USADepartment of Mechanical Engineering, University of Michigan, USADepartment of Biomedical Engineering, University of Michigan, USA; Department of Radiology, University of Michigan, USADepartment of Radiation Oncology, University of Michigan, USADepartment of Biomedical Engineering, University of Michigan, USA; Department of Radiology, University of Michigan, USAObjective. The goal is to increase the precision of radiation delivery during radiotherapy by tracking the movements of the tumor and other surrounding normal tissues due to respiratory and other body motions. Introduction. This work presents the recent advancement of X-ray-induced radiation acoustic imaging (xRAI) technology and the evaluation of its feasibility for real-time monitoring of geometric and morphological misalignments of the X-ray field with respect to the target tissue by combining xRAI with established ultrasound (US) imaging, thereby improving radiotherapy tumor eradication and limiting treatment side effects. Methods. An integrated xRAI and B-mode US dual-modality system was established based on a clinic-ready research US platform. The performance of this dual-modality imaging system was evaluated via experiments on phantoms and ex vivo and in vivo rabbit liver models. Results. This system can alternatively switch between the xRAI and the US modes, with spatial resolutions of 1.1 mm and 0.37 mm, respectively. 300 times signal averaging was required for xRAI to reach a satisfactory signal-to-noise ratio, and a frame rate of 1.1 Hz was achieved with a clinical linear accelerator. The US imaging frame rate was 22 Hz, which is sufficient for real-time monitoring of the displacement of the target due to internal body motion. Conclusion. Our developed xRAI, in combination with US imaging, allows for mapping of the dose deposition in biological samples in vivo, in real-time, during radiotherapy. Impact Statement. The US-based image-guided radiotherapy system presented in this work holds great potential for personalized cancer treatment and better outcomes.http://dx.doi.org/10.34133/2020/9853609
spellingShingle Wei Zhang
Ibrahim Oraiqat
Hao Lei
Paul L. Carson
Issam EI Naqa
Xueding Wang
Dual-Modality X-Ray-Induced Radiation Acoustic and Ultrasound Imaging for Real-Time Monitoring of Radiotherapy
BME Frontiers
title Dual-Modality X-Ray-Induced Radiation Acoustic and Ultrasound Imaging for Real-Time Monitoring of Radiotherapy
title_full Dual-Modality X-Ray-Induced Radiation Acoustic and Ultrasound Imaging for Real-Time Monitoring of Radiotherapy
title_fullStr Dual-Modality X-Ray-Induced Radiation Acoustic and Ultrasound Imaging for Real-Time Monitoring of Radiotherapy
title_full_unstemmed Dual-Modality X-Ray-Induced Radiation Acoustic and Ultrasound Imaging for Real-Time Monitoring of Radiotherapy
title_short Dual-Modality X-Ray-Induced Radiation Acoustic and Ultrasound Imaging for Real-Time Monitoring of Radiotherapy
title_sort dual modality x ray induced radiation acoustic and ultrasound imaging for real time monitoring of radiotherapy
url http://dx.doi.org/10.34133/2020/9853609
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