Radiotherapy Adaptive Planning Error Checking
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Solution Overview
Problem
Radiotherapy treatment plans often need to be updated due to anatomical changes in patients between planning and treatment, requiring effective error checking methods to ensure accurate replanning and precise radiation delivery.
Innovation Solution
A system and method for adaptive treatment planning that involves obtaining planning and treatment image volumes, registering them to a common coordinate system, determining contours, evaluating registration and contour errors, and modifying treatment plans as necessary to account for anatomical changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If treatment plans are updated frequently to account for anatomical changes, then treatment accuracy is improved, but treatment time and complexity increase
Solution Approach 1:
The system performs preliminary error checking on registration and contouring before final treatment plan execution. By evaluating potential errors in advance and establishing correction protocols beforehand, the system prepares treatment updates proactively rather than reactively, reducing actual treatment time while maintaining high accuracy standards
Solution Approach 2:
The system implements continuous feedback loops where treatment images are compared against planning images, errors are detected and evaluated, and corrections are made iteratively. This feedback mechanism enables efficient plan updates by focusing computational resources only on areas where anatomical changes have occurred, balancing accuracy with time efficiency
2Manufacturing precision
If comprehensive error checking is performed on registration and contour determination, then replanning accuracy is improved, but system complexity increases
Solution Approach 1:
The error checking system is divided into distinct modular components: registration error evaluation, contour determination error evaluation, and treatment plan verification. Each module independently assesses specific aspects of the replanning process, making the overall complex system manageable through functional segmentation and targeted error detection
Solution Approach 2:
The system introduces an intermediary evaluation layer between image registration/contouring and final treatment plan generation. This intermediary layer acts as a buffer that systematically checks for errors without requiring complete reprocessing of all treatment data, reducing computational complexity while maintaining accuracy
3Reliability
If treatment plans are modified to account for anatomical changes, then treatment reliability is improved, but the risk of introducing new errors increases
Solution Approach 1:
The system applies preliminary anti-action by implementing error detection and evaluation mechanisms before finalizing modified treatment plans. By anticipating potential errors in registration and contouring during the replanning process, the system takes corrective measures in advance, preventing harmful radiation delivery errors while maintaining treatment reliability
Solution Approach 2:
The system uses feedback loops to continuously verify treatment plan modifications against original planning parameters and anatomical constraints. Each modification is evaluated for potential errors, and corrections are made iteratively, ensuring that reliability improvements do not introduce new harmful errors
Data Source
AI summary
A method for adaptive treatment planning is provided. The method may include obtaining a planning image volume of a subject, a treatment image volume of the subject, and a first treatment plan related to the planning image volume of the subject, each of the planning image volume and the treatment image volume including an ROI of the subject. The method may also include registering the planning image volume and the treatment image volume, and determining a first contour of the ROI in the registered planning image volume and a second contour of the ROI in the registered treatment image volume. The method may also include evaluating whether an error exists in at least one of the registration or the contour determination based on the first contour and the second contour, and determining a second treatment plan with respect to the treatment image volume based on the evaluation result.