Irradiation Field Angle Determination Using Iterative Optimization
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Solution Overview
Problem
In radiotherapy planning, the selection of irradiation field angles is largely dependent on physician experience and can be affected by variability in patient cases and organ movement, leading to prolonged treatment times and potential inefficiencies.
Innovation Solution
A system and method for determining an irradiation field angle using iterative calculations and machine learning models to optimize beam angles based on objective functions that consider execution time, fluence map loss, and dose distribution, allowing for the selection of optimal beam angles that minimize treatment time while ensuring effective irradiation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If irradiation field angles are selected based on physician experience, then treatment planning can be completed, but treatment time is prolonged and efficiency is reduced
Solution Approach 1:
The patent replaces the manual, experience-based angle selection process with an automated computational system. The optimization algorithm automatically determines irradiation field angles by evaluating multiple candidate angles against objective functions that balance dose distribution quality and treatment execution time, eliminating the need for prolonged manual physician review and selection.
Solution Approach 2:
The system transforms the angle selection from a subjective, experience-dependent parameter choice into an optimized parameter set derived from computational evaluation. By calculating objective function values for different angle combinations and selecting those that optimize both dose distribution and execution time, the system dynamically determines optimal parameters rather than relying on fixed experience-based selections.
2Manufacturing precision
If multiple beam angles are used to improve dose distribution accuracy, then treatment precision increases, but treatment execution time increases
Solution Approach 1:
The system dynamically selects beam angles and their execution sequence by optimizing parameter combinations. The objective function evaluates both dose distribution quality (fluence map loss) and execution time (movement cost between beams), automatically determining the optimal number and arrangement of beam angles that balance precision and speed requirements.
Solution Approach 2:
Rather than using all possible beam angles, the system selects a subset of angles that provides sufficient dose distribution accuracy. The optimization process identifies the minimum necessary number of angles required to achieve acceptable fluence map loss while keeping execution time within acceptable limits, avoiding unnecessary treatment prolongation.
3Measurement precision
If beam angles are optimized for dose distribution, then irradiation accuracy improves, but calculation complexity and planning time increase
Solution Approach 1:
The optimization process is divided into discrete iterations, where each iteration evaluates candidate angle sets against the objective function and progressively refines the solution. This segmented approach breaks down the complex optimization into manageable steps, allowing the system to achieve high irradiation accuracy through iterative improvement without being overwhelmed by computational complexity in a single step.
Solution Approach 2:
The system uses feedback from objective function evaluation to guide the optimization process. By calculating fluence map loss and movement cost for candidate angle sets, the system receives feedback on dose distribution quality and execution time, automatically adjusting angle selections in subsequent iterations to improve irradiation accuracy while managing calculation complexity through guided search.
Data Source
AI summary
Embodiments of the present disclosure provides a system and method for determining a radiation field angle. The system comprises at least one storage medium, the at least one storage medium including a set of instructions; and at least one processor in communication with the at least one storage medium, wherein when executing the set of instructions, the at least one processor is configured to cause the system to perform operations including obtaining an alternative angle set, the alternative angle set including multiple selectable beam angles; and determining a target irradiation field angle set based on the alternative angle set through iterative calculations.