Radiation Field Determination Using Image Registration
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Solution Overview
Problem
Current radiation therapy planning methods are inefficient and prone to errors, particularly in complex cases, as they rely on manual adjustments and do not account for anatomical deformations and rotations, leading to suboptimal treatment plans and increased workflow times.
Innovation Solution
A system and method for determining radiation field information, which includes obtaining candidate beam angles, determining collimator and lock field parameters using geometric and machine learning models, and adjusting these parameters based on image registration and fluence map optimization to optimize radiation field settings automatically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual adjustment methods are used for radiation field information, then flexibility in handling complex cases is maintained, but planning time increases and error rates increase
Solution Approach 1:
The patent replaces manual mechanical adjustment methods with an automated computer-based system that uses image registration and optimization algorithms to determine radiation field information, thereby reducing planning time while maintaining or improving accuracy
Solution Approach 2:
The system enables self-service automation where the computer automatically performs image registration, calculates optimal radiation field parameters, and generates treatment plans without requiring continuous manual intervention, thus reducing both time and potential human error
2Productivity
If automated methods are used for determining radiation field information, then planning time is reduced, but accuracy may be compromised in complex cases
Solution Approach 1:
The patent implements feedback mechanisms where the system iteratively optimizes radiation field parameters by comparing calculated results with clinical objectives and constraints, continuously refining the solution to ensure both speed and accuracy in treatment plan generation
Solution Approach 2:
The system performs preliminary automated calculations and image registrations before final treatment plan approval, preparing optimized radiation field information in advance that can be quickly reviewed and adjusted if needed, thus maintaining both efficiency and accuracy
3Manufacturing precision
If manual planning methods are used, then detailed control over radiation parameters is maintained, but workflow time increases
Solution Approach 1:
The patent replaces manual parameter adjustment with automated computational algorithms that calculate optimal radiation field parameters based on registered images and treatment objectives, maintaining precision while significantly accelerating the workflow
Solution Approach 2:
The system automatically adjusts radiation field parameters such as beam angles, collimator settings, and field shapes based on image registration results and optimization criteria, achieving precise parameter determination without manual intervention and thereby improving workflow speed
Data Source
AI summary
The embodiments of the present disclosure provide methods and systems for determining radiation field information. The system may include: 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 directed to cause the system to perform operations including: obtaining a candidate beam angle range for an object, the candidate beam angle range including at least one candidate beam angle; determining at least one candidate collimator angle or at least one candidate lock field parameter based on the candidate beam angle range; and determining target radiation field information based on the at least one candidate collimator angle or the at least one candidate lock field parameter.