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Published on: February 6, 2019
A comparison between anisotropic analytical and multigrid superposition dose calculation algorithms in radiotherapy
Vincent W C Wu1, Teddy K H Tse, Cola L M Ho
1Department of Health Technology & Informatics, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR. htvinwu@polyu.edu.hk
Monte Carlo (MC) simulation is the most accurate for radiotherapy dose calculation. This study found that the Multigrid Superposition (MGS) algorithm showed lower dose errors than the Anisotropic Analytical Algorithm (AAA), but AAA was faster.
Area of Science:
- Medical Physics
- Radiotherapy
- Computational Biology
Background:
- Monte Carlo (MC) simulation offers the highest accuracy in radiotherapy dose calculations but is computationally intensive.
- Faster algorithms like Anisotropic Analytical Algorithm (AAA) and Multigrid Superposition (MGS) are commonly used in treatment planning systems.
- Evaluating dose calculation accuracy and efficiency of these algorithms is crucial for optimizing radiotherapy treatment.
Purpose of the Study:
- To compare the dose calculation accuracy of the Anisotropic Analytical Algorithm (AAA) and Multigrid Superposition (MGS) against Monte Carlo (MC) simulation.
- To assess the performance of AAA and MGS across different anatomical sites and tissue densities.
- To evaluate the computation time of AAA and MGS in clinical treatment planning.
Main Methods:
- Dose calculations were performed using AAA and MGS for brain, nasopharynx, lung, and prostate cancer patient CT data.
- Doses at various reference points (soft tissue, bone, air cavities, and their boundaries) were compared to MC simulations.
- Mean Absolute Percentage Error (MAPE) was used to quantify dose deviations, and computation times were recorded.
Main Results:
- Multigrid Superposition (MGS) demonstrated significantly lower Mean Absolute Percentage Errors (MAPEs) than Anisotropic Analytical Algorithm (AAA) across all cancer types and tissue density combinations (p<0.001).
- AAA showed dose deviations ranging from 1.8% to 4.9%, while MGS ranged from 1.6% to 2.9%.
- AAA had a significantly lower mean computation time compared to MGS (p<0.001), indicating faster plan calculation.
Conclusions:
- MGS offers superior dose calculation accuracy compared to AAA, particularly at tissue interfaces, but requires more computation time.
- Both AAA and MGS are clinically acceptable, with deviations generally below 4.0%, performing better in homogeneous tissues.
- The choice between AAA and MGS involves a trade-off between dose accuracy and computational efficiency in radiotherapy planning.
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