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

Authors: Wei Zhang,1 Ibrahim Oraiqat,2 Hao Lei,3 Paul L. Carson,1,4 Issam EI Naqa,2 and Xueding Wang1,4

Affiliations

1 Department of Biomedical Engineering, University of Michigan, USA
2 Department of Radiation Oncology, University of Michigan, USA
3 Department of Mechanical Engineering, University of Michigan, USA
4 Department of Radiology, University of Michigan, USA

Abstract

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.

Reference

Wei Zhang et al. Exclusive Licensee Suzhou Institute of Biomedical Engineering and Technology, CAS.
Distributed under a Creative Commons Attribution License (CC BY 4.0).