Fluoroscopy Apparatus Confidence Level Assessment
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Solution Overview
Problem
Current fluoroscopy apparatuses lack the ability to accurately and dynamically assess the confidence level of high-luminance regions over time, leading to potential misinterpretation of shifted or changed biological tissue features during observation.
Innovation Solution
A fluoroscopy apparatus that includes a light source for excitation, a fluorescence-image generating portion, an identifying portion for high-luminance regions, a storage portion, a confidence-level calculating portion based on elapsed time, and a display-image generating portion that adjusts the display mode according to calculated confidence levels, ensuring accurate representation of tissue features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If fluoroscopy apparatus captures fluorescence images to identify high-luminance regions, then the ability to detect diseased portions is improved, but the reliability of identification over time deteriorates due to tissue feature shifts and changes
Solution Approach 1:
The system implements feedback by continuously monitoring physical quantities (elapsed time, tissue movement, fluorescence intensity changes) and using this information to dynamically adjust the confidence level of high-luminance region identification. The confidence-level calculating portion receives feedback from the detecting portion about changes in physical quantities and modifies the confidence level accordingly, ensuring that identification reliability is maintained or adjusted based on real-time conditions.
Solution Approach 2:
The system performs preliminary action by pre-defining multiple display modes corresponding to different confidence level ranges. Before actual identification occurs, the system prepares the confidence level calculation framework and display mode mappings, allowing for rapid and reliable confidence assessment once high-luminance regions are detected, without requiring complex real-time decision-making.
2Ease of operation
If the system displays all high-luminance regions uniformly, then the simplicity of display is maintained, but the loss of information about confidence levels and tissue feature stability occurs
Solution Approach 1:
The system applies local quality by assigning different display modes to different spatial regions (high-luminance regions) based on their specific confidence levels. Each identified region is evaluated individually and displayed with the appropriate mode (first display mode for high confidence, second display mode for low confidence), allowing the display to maintain simplicity while encoding confidence level information locally within each region's visual representation.
3Measurement precision
If the system calculates confidence level based on multiple physical quantities, then the measurement precision of confidence assessment is improved, but the device complexity increases
Solution Approach 1:
The system implements partial action by selectively measuring and utilizing the most relevant physical quantities for confidence level calculation in different scenarios. Rather than continuously monitoring all possible physical quantities, the system detects changes in key parameters (elapsed time, tissue movement, fluorescence intensity) and uses these partial measurements to sufficiently assess confidence levels, avoiding the complexity of comprehensive multi-parameter monitoring while maintaining adequate precision.
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
This solution allows for real-time confidence level assessment of high-luminance regions, enabling users to recognize shifts and changes in biological tissue features, thereby improving the accuracy and reliability of fluoroscopic imaging.
Implementation Method 1
radiates excitation light onto an observation subject to cause emission of fluorescence from the observation subject
Data Source
AI summary
Provided is a fluoroscopy apparatus including a fluorescence-image generating portion that generates a fluorescence image; an identifying portion that identifies a position of a high-luminance region in the fluorescence image; a storage portion that stores the position of the high-luminance region; a detecting portion that detects an amount of change in a physical quantity, which can possibly act as a cause of changes in a property of the high-luminance region, starting from a time at which the position of the high-luminance region is identified by the identifying portion; a confidence-level calculating portion that calculates a confidence level of the property of the high-luminance region based on the detected amount of change; and a display-image generating portion that generates a display image in which the display mode at the position of the high-luminance region is set in accordance with the confidence level.