Radiotherapy Control Apparatus Position Determination
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current radiotherapy systems face challenges in accurately irradiating therapeutic radiation to affected regions while minimizing radiation exposure to normal cells, requiring complex data input operations for precise position calculation.
Innovation Solution
A radiotherapy system with a control apparatus that uses a storage unit for transmission images, a region designating section to select objective portions, a separating section to calculate separation results, a reconfiguring section to produce template images, and a position calculating section to determine accurate position data for precise radiation delivery, reducing user operation complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complex data input operations are performed to calculate position data of the affected region, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
The system automatically performs template image generation and position data calculation using imaging data and treatment plan information without requiring manual user operations. The control apparatus executes the calculation process autonomously, eliminating the need for users to perform complex input operations while maintaining high position data accuracy
Solution Approach 2:
The system pre-generates template images from imaging data and treatment plan information before actual treatment. These template images are stored and automatically applied during treatment, eliminating the need for real-time complex calculations and simplifying the treatment workflow while ensuring accurate position data
2Measurement precision
If multiple image templates are produced manually to calculate position data, then measurement precision is improved, but time consumption increases
Solution Approach 1:
The control apparatus automatically generates multiple template images by processing imaging data and treatment plan information without requiring manual user intervention. The system autonomously creates templates for different treatment angles and conditions, significantly reducing the time required while maintaining high position data accuracy
Solution Approach 2:
The system pre-calculates and stores multiple template images covering various treatment scenarios before actual treatment begins. This preliminary generation of templates eliminates time-consuming manual operations during treatment while ensuring accurate position data is available for all treatment angles
3Object-affected harmful factors
If the irradiation field is narrowed to reduce radiation exposure to normal cells, then harmful factors are reduced, but device complexity increases
Solution Approach 1:
The system uses imaging data to continuously monitor and determine the actual position of the affected region, then automatically adjusts the irradiation field positioning based on this feedback. This closed-loop control enables precise targeting that narrows the irradiation field to minimize exposure to normal cells while managing system complexity through automated control
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system enables accurate and efficient calculation of position data for affected regions, allowing for precise radiation targeting and reduced exposure to normal cells, facilitating easier user operation and improved therapeutic outcomes.
Implementation Method 1
a therapeutic radiation irradiating unit (16) for emitting therapeutic radiation (23)
Implementation Method 2
an imager system for picking up or imaging a transmission image of a patient
Data Source
Figure 1
Figure 2
Figure 3
AI summary
In a control apparatus for a radiotherapy apparatus, each of a plurality of separation results indicates an objective portion template and a non-objective portion template. The separation result is calculated such that a difference between a first template production image and an image produced by superimposing an objective portion template in a position of a designated region on the non-objective portion template is small and a difference between the second template production image and an image produced by superimposing the objective portion template in a position of an assumption region, which is different from the designated region, on the non-objective portion template is small.