Experimental and numerical studies on kV scattered x-ray imaging for real-time image guidance in radiation therapy
Yanqi Huang, Kai Yang, Youfang Lai, Huan Liu, Chenyang Shen, Yuncheng, Zhong, Yiping Shao, Xinhua Li, Bob Liu, Xun Jia

TL;DR
This study explores the use of photon counting detectors and Monte Carlo simulations to develop a real-time, marker-less x-ray scattering imaging technique for guiding lung cancer radiotherapy, demonstrating promising feasibility.
Contribution
It introduces a novel scattered x-ray imaging method using photon counting detectors and simulation-based characterization for real-time radiotherapy guidance.
Findings
Photon counting detectors successfully measured scattered x-ray photons.
Corrected scattering images showed a high linear correlation (R2=0.91) with actual attenuation.
Image resolution depends on source-to-object distance and collimator height.
Abstract
Motion management is a critical component of image guidance radiotherapy for lung cancer. We previously proposed a scheme using kV scattered x-ray photons for marker-less real-time image guidance in lung cancer radiotherapy. This study reports our recently progress using the photon counting detection technique to demonstrate potential feasibility of this method and using Monte Carlo (MC) simulations and ray-tracing calculations to characterize the performance. In our scheme, a thin slice of x-ray beam was directed to the target and we measured the outgoing scattered photons using a photon counting detector with a parallel-hole collimator to establish the correspondence between detector pixels and scatter positions. Image corrections of geometry, beam attenuation and scattering angle were performed to convert the raw image to the actual image of Compton attenuation coefficient. We set up…
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Taxonomy
TopicsAdvanced Radiotherapy Techniques · Advanced X-ray and CT Imaging · Medical Imaging Techniques and Applications
