Collimator Segment Shape Estimation for Faster Radiotherapy Delivery
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Solution Overview
Problem
Existing radiotherapy systems face challenges in efficiently and accurately determining segment shapes for collimators, which affect the overall delivery time of treatment plans.
Innovation Solution
A system and method utilizing a segment shape estimation model to estimate target location combinations and segment shapes of a collimator based on input data, including target images and radiation information, through a training process to iteratively refine a preliminary model.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional methods are used to determine segment shapes for collimators, then the treatment plan can be implemented, but the overall delivery time is extended
Solution Approach 1:
The system performs preliminary determination of collimator segment shapes and positions before actual radiotherapy delivery. The treatment planning system calculates optimal segment configurations in advance based on the treatment plan, so that when treatment begins, the collimator can immediately execute pre-determined segment shapes without real-time calculation delays.
Solution Approach 2:
The patent replaces traditional manual or iterative mechanical adjustment methods for determining segment shapes with an automated computer-based calculation system. The processing system uses algorithms to automatically compute optimal collimator segment configurations, substituting manual planning processes with automated computational methods that significantly reduce determination time.
2Productivity
If segment shapes are determined quickly, then delivery time is reduced, but accuracy of segment shape determination may be compromised
Solution Approach 1:
The system replaces manual segment shape determination processes with automated computational algorithms that can rapidly calculate precise segment configurations. The processing system uses computer-based optimization algorithms to simultaneously achieve high speed determination and high accuracy in segment shape calculation, eliminating the trade-off between speed and precision that exists in manual methods.
Solution Approach 2:
The system creates detailed digital representations (copies) of the desired radiation dose distribution and uses these models to calculate the corresponding collimator segment shapes. By working with digital models and simulations rather than physical trial-and-error adjustments, the system can rapidly iterate through multiple segment shape configurations to find the optimal solution with high precision.
Data Source
AI summary
A method may include obtaining input data relating to a target treatment plan for performing radiotherapy on a lesion using a radiation device. The input data may include a first target image of the lesion. The method may also include obtaining a segment shape estimation model. The method may also include estimating, based on the segment shape estimation model and the input data, a plurality of target location combinations of the target treatment plan and a plurality of target segment shapes of a collimator of the radiation device. One of the plurality of target location combinations may indicate a location of the collimator relative to the lesion. Each of the plurality of target segment shapes may correspond to one of the plurality of target location combinations.