Radiation Image Processing Apparatus Automatic Quality Adjustment
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Solution Overview
Problem
Current radiation image processing methods require significant time and labor for radiologists to generate and adjust subtraction processing images, especially during medical examinations, as they need to repeatedly check and adjust the quality of multiple radiation images.
Innovation Solution
A radiation image processing apparatus and method that acquires two radiation images taken with different energies, generates emphasis images through subtraction processing using adjustable parameters, and displays image quality indicators to facilitate quick and efficient image quality adjustment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If subtraction processing is performed manually by radiologists to generate bone part images and soft part images, then image quality can be appropriately adjusted, but a large amount of time and labor is required
Solution Approach 1:
The system performs automatic image quality evaluation and parameter adjustment without requiring radiologist intervention. The processor automatically calculates correlation coefficients between emphasis images, evaluates image quality based on these coefficients, and adjusts processing parameters to optimize the subtraction images, enabling the system to serve itself rather than requiring manual radiologist analysis
Solution Approach 2:
The system changes processing parameters automatically based on calculated correlation coefficients. When the correlation coefficient indicates insufficient image quality, the processor adjusts the subtraction processing parameters (such as the weighting coefficient in the arithmetic expression) to improve the quality metric, thereby improving productivity while maintaining manufacturing precision through automated parameter optimization
2Manufacturing precision
If multiple radiation images are processed repeatedly to ensure quality, then image quality can be maintained, but the workload and time consumption increase significantly
Solution Approach 1:
The system implements automatic feedback control where the processor calculates correlation coefficients as quality metrics, compares these against predetermined thresholds, and automatically adjusts processing parameters when quality is insufficient. This closed-loop feedback mechanism ensures image quality is maintained while eliminating the need for repeated manual processing and time-consuming radiologist review
Solution Approach 2:
The system performs preliminary automatic quality evaluation immediately after generating emphasis images, calculating correlation coefficients before final image output. This preliminary action identifies quality issues early in the processing workflow, allowing automatic parameter adjustment to prevent the need for repeated processing cycles and reducing overall time consumption
3Manufacturing precision
If radiologists manually check and adjust each subtraction processing image, then appropriate image quality is achieved, but the complexity of the workflow increases
Solution Approach 1:
The system performs self-service by automatically evaluating image quality using correlation coefficients and adjusting processing parameters without radiologist intervention. The processor autonomously completes the entire workflow from quality assessment to parameter optimization, significantly simplifying the workflow while maintaining image quality standards
Solution Approach 2:
The system replaces the mechanical workflow of manual radiologist checking and adjustment with an automated computational system. The processor uses mathematical correlation coefficient calculations and automated parameter adjustment algorithms to substitute the manual mechanical workflow, thereby reducing workflow complexity while maintaining manufacturing precision
Data Source
AI summary
A radiation image processing apparatus generates a first emphasis image by performing first emphasis processing on two radiation images, which are different from each other, in which a specific subject is imaged, generates a second emphasis image by performing second emphasis processing using at least any radiation image of the two radiation images, and generates correlation information between the first emphasis image and the second emphasis image. The radiation image processing apparatus displays the first emphasis image, a level value corresponding to a value of a first parameter, and an image quality indicator in which a difference between the first emphasis image and the second emphasis image is quantified, and receives a change of the level value.