Adaptive Radiation Therapy Plan Library Invoking
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Solution Overview
Problem
Current radiation therapy plans are time-consuming to design due to excessive time consumption during the planning process, limiting the effectiveness of high-speed Adaptive Radiation Therapy (ART) implementation.
Innovation Solution
A method and apparatus for ART based on a plan library invoking, which involves acquiring a medical image of the day and a target plan library, determining the radiation therapy plan using image registration, trajectory prediction, and constructing a target plan library when necessary, to facilitate high-speed ART.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If Online ART is used to generate new treatment plans rapidly, then treatment speed is improved, but calculation time is excessively long and cannot be completed within clinically acceptable time
Solution Approach 1:
The patent pre-calculates and stores multiple candidate treatment plans in a plan library before online ART is needed. When online ART is required, the system only needs to retrieve and select from pre-computed plans rather than calculating new plans from scratch, dramatically reducing the time required while maintaining treatment quality
Solution Approach 2:
The system prepares multiple candidate treatment plans in advance as a buffer or cushion. These pre-computed plans are stored in the plan library and can be quickly deployed when needed, providing a time buffer that allows rapid treatment adaptation without requiring lengthy real-time calculations
2Reliability
If manual parameter setting and adjustment is performed by doctors and physicists, then treatment plan quality is improved, but time consumption is excessive
Solution Approach 1:
The system automatically retrieves and selects appropriate treatment plans from the plan library based on patient-specific parameters without requiring manual intervention. The automated retrieval process eliminates the need for doctors and physicists to manually set and adjust parameters, significantly reducing time consumption while maintaining plan quality through algorithmic selection
Solution Approach 2:
The system copies pre-validated treatment plans from the plan library that have been previously optimized by experts. Instead of creating new plans from scratch or manually adjusting parameters, the system retrieves proven templates and adapts them to current patient needs, preserving quality while eliminating time-consuming manual work
3Reliability
If conventional commercial treatment plan system is used for Offline ART, then treatment plan accuracy is maintained, but efficiency is low and time and labor consuming
Solution Approach 1:
Multiple treatment plans are pre-calculated and stored in the plan library during offline preparation. This preliminary computation allows the system to maintain accurate, validated treatment options while enabling rapid online retrieval and deployment, transforming a time-consuming sequential process into an efficient lookup operation
Solution Approach 2:
The plan library serves as a cushion or buffer containing multiple pre-computed treatment plans. This preparation in advance provides a reservoir of validated options that can be quickly deployed during online ART, maintaining the accuracy of conventional systems while dramatically improving productivity by eliminating repeated full calculations
Data Source
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AI summary
This application discloses a method and apparatus for Adaptive Radiation Therapy (ART) based on plan library invoking. The method includes: acquiring a medical image of the day and a target plan library of a target patient, where the target plan library includes a plurality of groups of images of the target patient and a radiation therapy plan corresponding to each set of images; and determining the radiation therapy plan corresponding to the target patient according to the medical image of the day and the target plan library. According to this application, a problem that high-speed ART cannot be achieved due to excessive time consumption during the designing of the radiation therapy plan in the related art is resolved.