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Accuracy and efficiency of graphics processing unit (GPU) based Acuros XB dose calculation within the Varian Eclipse
Trent Aland1, Anthony Walsh2, Mark Jones2
1ICON Group, South Brisbane, Queensland, Australia; School of Chemistry, Physics, and Mechanical Engineering, Queensland University of Technology, Brisbane, Queensland, Australia.
Graphic processing unit (GPU) acceleration of the Acuros XB algorithm in Varian Eclipse significantly speeds up dose calculations without compromising accuracy. This GPU implementation is validated and ready for clinical use, offering substantial efficiency gains.
Area of Science:
- Medical Physics
- Radiation Oncology
- Computational Science
Background:
- The Varian Eclipse treatment planning system is a widely used platform in radiation oncology.
- Acuros XB (AXB) is an advanced dose calculation engine known for its accuracy.
- Optimizing calculation efficiency is crucial for streamlining clinical workflows.
Purpose of the Study:
- To evaluate the dosimetric accuracy and calculation efficiency of the GPU-accelerated AXB engine in Varian Eclipse v15.5.
- To compare GPU-based calculations against traditional Central Processing Unit (CPU) based calculations.
- To assess the clinical readiness of the GPU implementation.
Main Methods:
- Implementation of the GPU-based AXB dose calculation engine within Varian Eclipse v15.5.
- Dosimetric analysis using phantom-based calculations and 101 clinical cases, comparing CPU and GPU results.
- Evaluation of calculation times for both CPU and GPU across different modes (PLAN and FIELD).
Main Results:
- No significant dosimetric differences were observed between CPU and GPU calculations.
- GPU-based calculations were 4.4 times faster than CPU-based calculations on average.
- FIELD mode demonstrated up to 1.3 times greater efficiency than PLAN mode.
Conclusions:
- The GPU-based Acuros XB implementation in Varian Eclipse v15.5 is dosimetrically accurate and efficient.
- The GPU architecture has been successfully and safely implemented for clinical use.
- Significant improvements in calculation speed are achieved with GPU acceleration.
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