Breast Compression Paddle Performance Tracking With Force Signals
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Solution Overview
Problem
Existing breast compression paddles in imaging systems face challenges in tracking performance due to varying compressive forces applied by different technologists and patient breast densities, leading to inconsistent imaging quality and potential device degradation without effective life cycle management.
Innovation Solution
A method and system for determining performance characteristics of breast compression paddles by applying a force application signal to an algorithm, calculating a reduction value, and updating paddle performance values based on known performance data, with features like RFID chips for data storage and predictive maintenance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Force
If rigid paddles or thick compressive foam elements are utilized, then compression force is improved, but device complexity increases due to lack of performance tracking
Solution Approach 1:
The compression paddle is equipped with an integrated sensor system and processing circuitry that automatically monitors its own compression force applications, calculates performance metrics, and tracks usage patterns without requiring external monitoring equipment or manual intervention
Solution Approach 2:
The paddle combines multiple functions into a single device: compression delivery, force sensing, data processing, performance calculation, and usage tracking are all integrated into one unified system rather than separate components
2Manufacturing precision
If compression force is increased to improve imaging quality, then image quality is improved, but paddle degradation accelerates
Solution Approach 1:
The system continuously monitors compression force magnitudes and uses this feedback to calculate performance reduction values, updating remaining useful life estimates in real-time based on actual usage patterns and force levels applied
Solution Approach 2:
The system proactively tracks cumulative performance degradation before critical failure occurs, enabling predictive maintenance scheduling and timely paddle replacement to prevent imaging quality deterioration from degraded paddles
3Reliability
If performance tracking is implemented, then reliability is improved, but device complexity increases
Solution Approach 1:
The paddle's integrated system autonomously performs sensing, data processing, performance calculation, and tracking without requiring external monitoring infrastructure, reducing overall system complexity while maintaining reliable performance monitoring
Solution Approach 2:
Multiple previously separate functions (compression mechanism, sensing elements, processing circuitry, and tracking system) are merged into a single integrated paddle assembly, simplifying the overall system architecture
Data Source
AI summary
A method of determining performance characteristics of a breast compression paddle utilized in a breast imaging system includes receiving a force application signal, wherein the force application signal is associated with an application of a compressive force by the breast imaging system with the breast compression paddle to a breast of a patient. The method applies the force application signal to an algorithm to obtain a reduction value. The reduction value is subtracted from a known paddle performance value for the breast compression paddle to obtain an updated paddle performance value for the breast compression paddle.