Radiation Treatment Planning DVH Prediction via Overlap Volume
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Solution Overview
Problem
Current radiation treatment planning systems face challenges in efficiently planning treatments for particle therapy, particularly in accurately predicting dose distribution and optimizing irradiation conditions due to the anisotropic spread of dose in scanning irradiation methods, leading to prolonged planning times and labor-intensive processes, especially when multiple organs-at-risk are near the target.
Innovation Solution
A radiation treatment planning system that includes a database for past treatment data, a display device for DVH visualization, and a predicted DVH calculation module, which calculates the overlap volume between the target and organ-at-risk regions by anisotropically adjusting the target region in the image and using past data to predict DVH, thereby enhancing prediction accuracy and optimizing irradiation conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a scanning irradiation method is used to concentrate dose to the target, then manufacturing precision of dose distribution is improved, but device complexity increases due to need for precise beam positioning and control systems
Solution Approach 1:
The system performs self-verification by automatically calculating predicted DVH from treatment planning parameters and comparing it with actually measured DVH from treatment delivery, enabling the system to self-validate and self-correct without external intervention
Solution Approach 2:
The system implements a feedback mechanism where the actual DVH measurement from treatment delivery is fed back to update and refine the predicted DVH calculation model, creating a closed-loop system that continuously improves accuracy
2Manufacturing precision
If treatment planning is performed manually with repeated operations, then manufacturing precision of dose distribution is improved, but productivity decreases due to prolonged planning time
Solution Approach 1:
The system performs preliminary calculation of predicted DVH based on treatment planning parameters before actual treatment delivery, allowing operators to evaluate and optimize treatment plans in advance without time-consuming manual simulations
Solution Approach 2:
The system creates a computational model (predicted DVH) that replicates the complex dose distribution calculation, allowing rapid evaluation of treatment plans without performing full numerical simulations each time
3Reliability
If treatment planning is performed manually with repeated operations, then reliability of dose distribution is improved, but loss of time increases due to prolonged planning duration
Solution Approach 1:
The system performs preliminary calculation of predicted DVH based on treatment planning parameters before actual treatment delivery, allowing operators to evaluate and optimize treatment plans in advance without time-consuming manual simulations
Solution Approach 2:
The system implements a feedback mechanism where the actual DVH measurement from treatment delivery is fed back to update and refine the predicted DVH calculation model, creating a closed-loop system that continuously improves accuracy
Data Source
AI summary
Provided are a radiation treatment planning system and a radiation treatment system that are capable of achieving time shortening and labor saving of treatment planning making when a radiation treatment is planned. A predicted DVH calculation portion 4034 of an arithmetic processing device 403 in a radiation treatment planning system 400 anisotropically enlarges a target region 501 in an irradiated body image which is input to the radiation treatment planning system 400, and calculates an overlap volume OV with an organ-at-risk region 502 per the number of times of enlargement. A DVH (Dose Volume Histogram) is predicted from a volume of the calculated OV, and a dose histogram in the OV per the number of times of enlargement which is calculated from a past treatment planning data group, and is displayed on a display device 401.