研究目的
To optimize dual-energy (DE) imaging parameters using an on-board imaging system for radiotherapy applications, specifically for enhancing soft tissue visibility and enabling markerless motion tracking of lung tumors.
研究成果
The custom phantom effectively optimized DE imaging parameters, enhancing tumor visibility through increased SDNR values. Post-processing techniques, particularly anti-correlated noise reduction, significantly improved image quality. This approach holds promise for markerless motion tracking in lung tumor radiotherapy.
研究不足
The study is limited by the use of a custom phantom, which may not fully replicate the complexity of human anatomy. Additionally, the impact of scatter correction on image quality was found to be minimal, suggesting potential areas for optimization in scatter correction techniques.
1:Experimental Design and Method Selection:
The study involved designing a custom phantom to simulate lung, tissue, and bone materials for DE imaging optimization. A weighted logarithmic subtraction method was used for bone suppression.
2:Sample Selection and Data Sources:
The phantom included simulated tumors and bone-equivalent materials to mimic clinical scenarios. Images were acquired using a commercial linear accelerator's on-board imager.
3:List of Experimental Equipment and Materials:
The phantom was constructed using lung-, tissue-, and bone-equivalent materials. Imaging was performed using a TrueBeam linear accelerator with an on-board imager.
4:Experimental Procedures and Operational Workflow:
DE images were acquired at various kVp settings. The phantom was used to evaluate imaging parameters based on the signal-difference-to-noise ratio (SDNR).
5:Data Analysis Methods:
SDNR was used to quantify tumor visibility. Post-processing techniques like anti-correlated noise reduction and scatter correction were applied to enhance image quality.
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