Field Geometry Optimization for Robust Radiation Treatment Plans
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Solution Overview
Problem
Existing radiation treatment plans often fail to discriminate between target volumes and adjacent tissues, leading to potential collateral damage due to uncertainties in patient positioning and anatomy, resulting in dosimetric inaccuracies.
Innovation Solution
A control circuit identifies field geometry parameter values and determines dosimetric robustness to optimize radiation treatment plans, ensuring stability against variations in patient positioning and anatomy by selecting robust field geometries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If radiation therapy is applied to treat tumors, then therapeutic effect on target volume is improved, but collateral damage to adjacent tissues increases
Solution Approach 1:
The patent applies local quality by differentiating treatment parameters for different spatial regions. The system calculates dosimetric robustness metrics specifically for target volumes versus organs-at-risk, and adjusts field geometry parameters locally to maximize therapeutic effect on tumors while minimizing dose to adjacent healthy tissues. This regional differentiation enables the treatment plan to simultaneously achieve reliable tumor control and reduce collateral damage.
2Reliability
If field geometry parameters are adjusted to improve dosimetric robustness, then treatment plan reliability is improved, but optimization complexity increases
Solution Approach 1:
The patent segments the optimization process into distinct manageable components: identifying field geometry parameters, calculating dosimetric robustness metrics for each parameter, assessing robustness satisfaction, and optimizing only when necessary. This segmentation reduces the perceived complexity by breaking down the optimization into sequential steps with clear decision points, making the complex optimization process more systematic and controllable.
Solution Approach 2:
The system implements feedback by calculating dosimetric robustness metrics and using these results to determine whether optimization is needed. The feedback loop compares the calculated robustness against predefined criteria and automatically adjusts field geometry parameters only when necessary, reducing unnecessary optimization iterations and simplifying the overall process while maintaining high reliability.
3Productivity
If automatic optimization processes are used to generate treatment plans, then treatment planning efficiency is improved, but precision and control over field geometry parameters decreases
Solution Approach 1:
The patent introduces dynamics by making field geometry parameters adjustable based on calculated dosimetric robustness metrics. Rather than using fixed automated values, the system dynamically adapts parameters such as field angle, size, and shape based on real-time robustness calculations, allowing precise control over field geometry while maintaining high planning efficiency through automation.
Data Source
AI summary
A control circuit identifies at least one field geometry parameter value and then determines dosimetric robustness for the at least one field geometry parameter value to produce a robustness assessment. The control circuit can then determine whether the robustness assessment is satisfactory, and when true, optimize a radiation treatment plan using the at least one field geometry parameter value.