Radiation Image Processing Apparatus Automatic Parameter Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current radiation image processing systems require manual adjustment of image processing conditions for each body part and radiography orientation, leading to increased workload and variability in image quality across different facilities and users, especially when multiple image processing apparatuses are connected through a network.
Innovation Solution
An image processing method and apparatus that automatically optimizes image processing conditions by recording and learning from user adjustments, allowing for stable and consistent image processing across multiple apparatuses and users, by adjusting parameters based on previous adjustments and converging on desired settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual adjustment of image processing conditions is conducted for each body part and radiography orientation, then image processing can be customized to user preferences, but the workload of radiation engineers increases significantly
Solution Approach 1:
The system automatically adjusts image processing conditions by itself based on previously stored adjustment results, eliminating the need for manual adjustment by radiation engineers. The apparatus stores adjustment results in storage means and automatically applies them when the same body part and radiography orientation are processed again, making the system self-sufficient in adapting to user preferences without requiring continuous manual intervention.
Solution Approach 2:
The system performs preliminary adjustment of image processing conditions by storing adjustment results from initial manual adjustments. These pre-stored adjustment results are then automatically applied to subsequent processing of the same body part and radiography orientation, eliminating the need for repeated manual adjustments and significantly reducing the workload of radiation engineers.
2Adaptability or versatility
If multiple image processing apparatuses are connected through a network, then system versatility and accessibility are improved, but variability in image processing results increases across different facilities
Solution Approach 1:
The system stores adjustment results in a standardized format that can be shared across multiple image processing apparatuses connected through a network. Each apparatus can access and apply the same adjustment results for the same body part and radiography orientation, ensuring that image processing conditions are consistently applied across different facilities and eliminating variability in processing results.
Solution Approach 2:
The system standardizes the parameters of image processing conditions that are stored and shared across the network. By normalizing parameters such as body part identification and radiography orientation, the system ensures that the same parameters produce consistent results across different apparatuses, thereby maintaining manufacturing precision in the form of image processing consistency.
3Productivity
If automatic optimization of image processing conditions is implemented, then the need for manual adjustments is reduced, but the system requires mechanisms to store and manage adjustment results
Solution Approach 1:
The system creates copies of adjustment results and stores them in storage means for later retrieval and application. Instead of requiring complex real-time analysis and optimization algorithms, the system simply copies previously successful adjustment parameters and applies them to similar cases, achieving automatic optimization through a relatively simple storage and retrieval mechanism.
Data Source
AI summary
An image processing method of obtaining a image proper for diagnosis from a radiation image having signals corresponding to an irradiation dose of radiation having passed through a radiographed object, comprising: an image processing step of conducting an image processing on an image processing condition including at least one or more parameters having a preliminarily-set default value; an image processing condition adjusting step of adjusting the image processing condition; an adjustment result recording step of recording the adjustment result of the parameters in the image processing condition adjusted in the image processing condition adjusting step; a parameter changing step of renewing the default value of at least one of the parameters in the image processing condition based on adjustment results of plural time adjustments recorded in the adjustment result recording step.