Particle Irradiation Control Parameter Optimization
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Solution Overview
Problem
Current particle irradiation systems face challenges in accurately delivering dose distributions due to positioning inaccuracies, leading to clinically unacceptable outcomes, as small displacements can significantly impact the dose distribution during treatment.
Innovation Solution
A device and method for determining control parameters that adjust particle number distributions based on predefined dose distributions and variables accounting for differences between sampling points, optimizing the particle number distribution to ensure robust treatment plans and reduced treatment duration by using a cost function that balances dose distribution and particle dynamics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional particle irradiation systems are used with standard control parameters, then the irradiation can be performed, but positioning inaccuracies lead to clinically unacceptable dose distributions
Solution Approach 1:
The method performs preliminary optimization of particle numbers at sampling points before irradiation by determining a particle number distribution that accounts for differences between sampling points. This pre-calculation creates a robust treatment plan that compensates for potential positioning inaccuracies before the actual irradiation occurs, ensuring dose distribution accuracy even when positioning errors are present.
2Manufacturing precision
If particle numbers are optimized for each sampling point to achieve precise dose distribution, then dose accuracy improves, but treatment duration increases
Solution Approach 1:
The method optimizes parameters by determining particle numbers at sampling points using a systematic approach that balances dose distribution accuracy with treatment efficiency. The optimization considers the difference between particle numbers at different sampling points and determines an optimal distribution that achieves clinically acceptable dose distributions while reducing overall treatment duration compared to conventional methods.
3Productivity
If conventional control parameters are used without optimization, then treatment can proceed quickly, but positioning errors cause clinically unacceptable outcomes
Solution Approach 1:
The system performs self-optimization by automatically determining the optimal particle number distribution at sampling points based on the treatment plan and positioning data. The method calculates the difference between particle numbers at different sampling points and adjusts the distribution accordingly, enabling the system to adapt to positioning inaccuracies without requiring manual intervention, thus maintaining both efficiency and reliability.
Data Source
AI summary
A device for determining control parameters for a particle irradiation system that deposits different dose values at different target points in a target volume through the selection of sampling points by a particle beam is provided. The device includes an input for receiving information relating to a predefined dose distribution via target points, and a determination component for determining a particle number distribution that is to be deposited during the irradiation via sampling points. The determining takes place using the predefined dose distribution and a variable, which takes into account differences in the particle number distribution between particle numbers of different sampling points.