Radiation Source Modeling via Phase Space Weighting
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Solution Overview
Problem
Current methods for modeling radiation sources in radiotherapy are complex and time-consuming, requiring consideration of multiple virtual source types and large amounts of measured data.
Innovation Solution
A system and method for efficiently modeling a radiation source by obtaining an initial multi-source model, estimating component PDD curves, determining weights for energy levels based on measured PDD curves, and constructing a target multi-source model.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current modeling methods are used to ensure accurate dose distribution prediction, then modeling precision is improved, but device complexity and time consumption increase
Solution Approach 1:
The radiation source is segmented into multiple virtual sources, each representing different spatial locations and energy characteristics. This segmentation allows the complex radiation field to be decomposed into manageable components that can be modeled independently and then combined, reducing overall modeling complexity while maintaining accuracy.
Solution Approach 2:
The invention changes the parameter representation by using phase space files that describe particle distributions in terms of position, direction, and energy simultaneously. This parameter transformation enables more efficient modeling compared to traditional methods that require separate measurements for each parameter.
2Measurement precision
If current modeling methods are used to ensure accurate dose distribution prediction, then modeling precision is improved, but time consumption increases
Solution Approach 1:
Phase space files are generated in advance through Monte Carlo simulations or measurements, capturing the complete particle distribution characteristics before actual treatment planning. This preliminary action eliminates the need for time-consuming measurements during treatment planning, significantly reducing modeling time while preserving accuracy.
Solution Approach 2:
The invention creates virtual copies of the radiation source characteristics through phase space files that replicate the complex particle distributions without requiring physical measurements. These digital copies can be reused across multiple treatment plans, reducing repeated measurement time while maintaining fidelity to the actual radiation source.
3Manufacturing precision
If multiple virtual source types are considered to improve modeling accuracy, then manufacturing precision is improved, but device complexity increases
Solution Approach 1:
The phase space file format serves as a universal representation that can describe multiple types of virtual sources (point sources, line sources, surface sources) within a single framework. This multi-functional approach eliminates the need for separate modeling procedures for different source types, reducing complexity while maintaining the ability to accurately represent diverse radiation source configurations.
Data Source
AI summary
Systems and methods for determining a target multi-source model of a radiation source corresponding to an energy spectrum is provided. The systems may obtain an initial multi-source model of the radiation source, which includes an initial phase space file that includes information of a plurality of simulated particles of a plurality of energy levels. The systems may estimate, based on the initial phase space file, a plurality of component PDD curves corresponding to the plurality of energy levels. The systems may obtain a measured PDD curve corresponding to radiation of the energy spectrum. For each energy level, the systems may determine, based on the plurality of component PDD curves and the measured PDD curve, a weight for the each energy level. The systems may further determine the target multi-source model of the radiation source based at least in part on the initial multi-source model and the weights.