X-Ray Image Multi-Frequency Tuning for Changing Field of View
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Solution Overview
Problem
Existing X-ray diagnosis systems face challenges in maintaining optimal image quality due to variations in imaging field of view caused by changes in the radiated region or device position during medical procedures, leading to suboptimal parameter settings in multi-frequency processing.
Innovation Solution
The X-ray diagnosis apparatus employs a system that detects elements in the image data, determines parameters for multi-frequency processing based on these elements, and adjusts frequency bands and coefficients accordingly to maintain image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the same set of parameters is used in multi-frequency processing even though the elements included in an imaging field of view change, then the device complexity is reduced, but the image quality deteriorates
Solution Approach 1:
The patent implements dynamic parameter adjustment in multi-frequency processing by automatically detecting elements in the imaging field of view and adapting processing parameters accordingly. This allows the system to transition from static to dynamic parameter settings, maintaining optimal image quality across varying imaging conditions without requiring manual intervention for each change.
Solution Approach 2:
The system changes processing parameters based on detected element types and positions in the imaging field. By automatically adjusting frequency band coefficients and processing settings according to the specific elements present (such as bones, soft tissues, or medical devices), the system optimizes image quality for each unique imaging scenario while reducing the need for manual parameter tuning.
2Ease of operation
If multi-frequency processing is performed with fixed parameters, then the ease of operation is improved, but the adaptability to different imaging conditions deteriorates
Solution Approach 1:
The system performs self-adjustment by automatically detecting elements in the imaging field of view and autonomously selecting appropriate processing parameters. This self-service mechanism eliminates the need for operators to manually adjust parameters for different imaging conditions, maintaining ease of operation while achieving high adaptability to varying imaging scenarios through automatic element-based parameter optimization.
Solution Approach 2:
The system implements a feedback loop where element detection results from the imaging field of view continuously inform parameter adjustments in multi-frequency processing. This closed-loop control allows the system to automatically adapt to changing imaging conditions based on real-time element detection, maintaining both operational simplicity and adaptability through automated feedback-driven parameter optimization.
Data Source
AI summary
An X-ray diagnosis apparatus according to an embodiment includes processing circuitry configured: to detect an element from X-ray image data taken of an examined subject; to determine a parameter of multi-frequency processing on the basis of a detection result of the element; and to execute the multi-frequency processing on one or both of the X-ray image data and another piece of X-ray image data taken later than the X-ray image data, on the basis of the determined parameter.