Mammography Compression Control Using Patient-Specific Surface Pressure
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Solution Overview
Problem
Mammography devices face challenges in setting optimal compression for breast imaging due to individual breast differences, leading to discomfort and inconsistent image quality, as existing methods rely on generic threshold values that do not account for patient-specific characteristics.
Innovation Solution
A computer-implemented method and device that automatically adjust compression by determining a reference surface value and setpoint pressure based on individual breast characteristics, using force and position data to ensure comfort and image quality, without requiring additional sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If a threshold value for the gradient of thickness change is used to control compression paddle movement, then automation is improved, but individual patient comfort and sensitivity differences cannot be accounted for
Solution Approach 1:
The system performs preliminary measurement of the breast compression curve before determining the target compression setting. By analyzing the compression curve in advance and identifying characteristic points (such as the inflection point), the system can calculate an individualized target compression force that accounts for patient-specific characteristics while maintaining automated operation.
Solution Approach 2:
The system uses feedback from the measured compression curve to dynamically adjust the target compression setting. By continuously monitoring the compression force and thickness change relationship, the system can identify the optimal compression point based on the actual breast characteristics, thereby adapting to individual patients while maintaining automation.
2Manufacturing precision
If compression force is increased to improve image quality, then detector spatial resolution is improved, but patient comfort deteriorates
Solution Approach 1:
The system changes the parameter used to determine target compression from a fixed threshold value to a dynamically calculated value based on the compression curve analysis. By identifying characteristic points on the compression curve (such as the inflection point where compression efficiency changes), the system can determine an optimal compression force that balances image quality requirements with patient comfort for each individual.
Data Source
AI summary
One or more example embodiments relates to a computer-implemented method for operating a mammography device, the method includes determining a reference surface value which describes an assumed contact surface between a compressed examination object and a movable compression paddle in a target compression setting, using the force value and the position value at at least one reference time instant; and compressing the examination object by actuating an actuator until a termination condition is fulfilled, wherein the termination condition describes the attainment of a predetermined setpoint pressure by the force value in relation to the reference surface value.