Advances in Radiation Oncology (Jul 2023)

Single-Pulse X-ray Acoustic Computed Tomographic Imaging for Precision Radiation Therapy

  • Gilberto Gonzalez, MS,
  • Kiana Prather, BS,
  • Prabodh Kumar Pandey, PhD,
  • Leshan Sun, MS,
  • Joseph Caron, MS,
  • Siqi Wang, MS,
  • Salahuddin Ahmad, PhD,
  • Liangzhong Xiang, PhD,
  • Yong Chen, PhD, DABR

Journal volume & issue
Vol. 8, no. 4
p. 101239

Abstract

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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.