Medical Imaging Light Sources with Confidence-Driven Feedback Control
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Solution Overview
Problem
Modern medical imaging systems face challenges in maintaining detection accuracy and effectiveness due to variations in lighting conditions, which deviate from the predefined settings configured for supervision modules, leading to reduced performance in creating a comfortable scanning environment.
Innovation Solution
A method involving a feedback loop is used to adjust lighting conditions using light sources to ensure confidence threshold levels for target element detection, employing a target detection module and optical sensor data to iteratively refine lighting parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If lighting conditions are adjusted to improve ambient experience and patient comfort, then patient stress is reduced and scanning environment becomes more friendly, but detection accuracy and supervision effectiveness are reduced
Solution Approach 1:
The system dynamically adjusts lighting conditions based on real-time detection requirements. The supervision module continuously monitors detection confidence values and triggers lighting adjustments only when necessary, allowing the lighting to transition between ambient-friendly and detection-optimized states rather than maintaining a fixed setting
Solution Approach 2:
The system changes lighting parameters (intensity, color temperature, direction) to optimize detection confidence values. By adjusting these parameters in response to detected confidence levels, the system can shift between providing comfortable ambient lighting and creating optimal conditions for target structure detection
2Adaptability or versatility
If lighting conditions are adjusted to create comfortable scanning environment, then ambient experience is improved, but supervision module effectiveness is reduced
Solution Approach 1:
The system employs a feedback mechanism where the supervision module evaluates detection confidence values and triggers lighting adjustments when confidence falls below thresholds. This closed-loop feedback ensures that ambient lighting preferences are maintained while automatically correcting conditions when they interfere with supervision effectiveness
Solution Approach 2:
The system performs periodic evaluation of detection confidence values and triggers lighting adjustments at specific intervals or when confidence thresholds are breached. This periodic monitoring allows the system to maintain comfortable ambient lighting while periodically ensuring detection requirements are met
3Measurement precision
If fixed lighting conditions are used for supervision module configuration, then detection accuracy is maintained, but patient comfort and ambient experience are reduced
Solution Approach 1:
Rather than using fixed lighting conditions, the system dynamically adapts lighting settings based on real-time detection needs. The supervision module monitors confidence values and triggers lighting adjustments only when detection accuracy may be compromised, allowing comfortable ambient lighting to prevail during normal operation
Solution Approach 2:
The supervision module automatically monitors detection confidence and triggers lighting adjustments without external intervention. This self-service mechanism ensures detection accuracy is maintained while minimizing disruptions to patient comfort, as adjustments are made only when genuinely necessary
Data Source
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AI summary
Disclosed herein is a method for determining one or more control parameters (416) for controlling one or more light sources (142) to adjust lighting conditions of a medical imaging system (100) during an acquisition of optical sensor data (414) using an optical sensor (144). The method comprises starting a feedback loop, in response to receiving an adjustment trigger. The feedback loop comprises controlling an adjusting of the lighting conditions using the one or more light sources (142), receiving adjusted optical sensor data (414) for the adjusted lighting conditions from the optical sensor (144), detecting the target elements (122) within the adjusted optical sensor data (414) using a target detection module (412), and determining confidence values for the detections of the target elements (122). The feedback loop is repeated until the confidence values determined for the detections of the target elements (122) reach a predefined confidence threshold level.