Automated Radiation Plan Generation via Predictive Dose Modeling
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Solution Overview
Problem
Current methods for determining radiation delivery plans, such as intensity-modulated radiotherapy, require manual setting of parameters, which is time-consuming and energy-intensive.
Innovation Solution
A method and device that automatically determine a radiation delivery plan by obtaining an image of a target object, predicting the dose distribution, and applying a plan-quality control strategy to optimize the dose distribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual parameter setting and optimization is used for intensity-modulated radiotherapy plan, then the radiation delivery plan can be customized and optimized, but it consumes a lot of time and energy
Solution Approach 1:
The system enables automatic plan generation where the computing device autonomously determines the radiation delivery plan by obtaining target object images, predicting dose distributions, and optimizing treatment parameters without requiring manual parameter setting by physicians, thereby significantly reducing plan making time while maintaining dosimetric accuracy
Solution Approach 2:
The patent replaces the manual mechanical process of parameter adjustment and plan optimization with an automated computational system that uses image data and dose prediction algorithms to generate optimized radiation delivery plans automatically
2Manufacturing precision
If manual parameter adjustment is performed to optimize the radiation delivery plan, then the treatment precision can be improved, but the energy consumption increases
Solution Approach 1:
The automated system performs energy-intensive computational tasks independently without requiring repeated manual adjustments, using efficient algorithms to achieve optimal dose distribution with minimal energy consumption compared to iterative manual optimization processes
3Productivity
If automated plan determination is implemented without manual parameter setting, then the time and energy consumption are reduced, but the complexity of the system increases
Solution Approach 1:
The computing device integrates multiple functions including image acquisition, dose distribution prediction, treatment parameter optimization, and plan generation into a single automated system, reducing the need for multiple separate devices and manual intervention steps
Data Source
AI summary
A method and a device for determining a radiation delivery plan, a computer equipment, a storage medium and a computer program product. The method includes: obtaining an image of a target object, and determining a predicted dose distribution of the target object according to the image of the target object; and determining an objective dose distribution for the radiation delivery plan based on the predicted dose distribution and a plan-quality control strategy.


