Main Session
Sep 28
PQA 01 - Radiation and Cancer Physics, Sarcoma and Cutaneous Tumors

2149 - A Dual-Source Dual-Panel Large Field-of-View Cone-Beam CT System for Enhanced Radiotherapy via Spectral Imaging

02:30pm - 04:00pm PT
Hall F
Screen: 5
POSTER

Presenter(s)

Xuemin Li, MD - Peking University Third Hospital, Beijing, Beijing

X. Li1, H. Wang1,2, Q. Man1, and J. Wang1; 1Department of Radiation Oncology, Peking University Third Hospital, Beijing, China, 2Cancer Center,Peking University Third Hospital, Beijing, China

Purpose/Objective(s): Modern radiotherapy demands precise imaging for accurate tumor localization and dose delivery. Conventional cone-beam CT (CBCT) systems are limited by their narrow field-of-view (FOV) and suboptimal material discrimination, which can compromise treatment planning. Integrating spectral CT technology with a dual-source dual-panel design offers the potential to overcome these limitations, providing extended FOV imaging and improved tissue characterization.

Materials/Methods: We utilized a novel imaging system from VenusCT Dual, which featuring two X-ray sources and two detector panels arranged to maximize the effective FOV. The system leverages spectral CT techniques to capture energy-resolved data, enabling enhanced material differentiation and contrast. Detailed simulation studies were conducted to evaluate system performance on several radiotherapy cases, focusing on FOV expansion, image quality, and potential radiotherapy benefits. Parameters such as contrast-to-noise ratio (CNR) and dose efficiency were assessed under clinically relevant scenarios. The simulation data were processed using FBP reconstruction algorithms, followed by dual-energy decomposition to extract material-specific information. Finally, the imaging results were validated by correlating them with ground truth data obtained from synthetic digital phantom.

Results: Simulation results demonstrated that the proposed system achieves an FOV of up to 70 cm—a significant improvement over traditional CBCT systems (approximately a 75% increase). This expanded coverage enables comprehensive imaging of large anatomical regions, such as the thorax, facilitating more accurate tumor delineation. Additionally, spectral imaging provided an estimated 25–30% enhancement in soft tissue contrast and improved CNR, potentially allowing for a 15% reduction in imaging dose.

Conclusion: These advancements are expected to translate into more precise radiotherapy planning and delivery, ultimately enhancing treatment outcomes.