Medical Marker Tracking with Property Comparison
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Marker tracking systems in medical technology often face impaired marker quality due to soiling, leading to reduced accuracy and functionality, especially in orthopedic operations, as the soiling may not be immediately noticeable to treatment staff.
Innovation Solution
A medical marker tracking method that compares actual marker properties with nominal properties using a data processing unit, allowing for the detection of deviations and taking measures such as recalculating image centers or replacing markers to maintain tracking accuracy, which can include visually or acoustically indicating deviations and ensuring affected markers are not used.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If marker tracking is performed without quality checking, then the tracking system operates continuously without interruption, but marker soiling degrades accuracy and functionality unnoticed
Solution Approach 1:
The patent implements a feedback mechanism where the data processing unit continuously compares actual marker properties (brightness, shape, size, visibility) with nominal properties and provides feedback about marker quality degradation. This allows the system to detect soiling and alert users without requiring complex additional hardware, resolving the contradiction by adding intelligence to the existing tracking system rather than increasing physical complexity.
Solution Approach 2:
The system performs preliminary quality assessment by comparing actual marker properties with stored nominal properties before tracking errors occur. This proactive approach allows the system to detect marker soiling early and alert users to replace markers before accuracy is severely degraded, maintaining high tracking reliability without requiring constant monitoring during critical procedures.
2Reliability
If marker quality is monitored continuously, then marker soiling is detected early, but additional processing time and computational resources are required
Solution Approach 1:
The data processing unit continuously compares actual marker properties with nominal properties and provides feedback about marker quality degradation. This feedback mechanism enables early detection of soiling without requiring extensive processing time, as the system uses efficient property comparison algorithms that run in parallel with the tracking operations.
Solution Approach 2:
The system monitors only the most critical marker properties (brightness, shape, size, visibility) rather than all possible properties, achieving sufficient quality assessment with minimal processing. This partial monitoring approach maintains reliability while keeping processing time acceptable for real-time surgical navigation applications.
3Ease of operation
If treatment staff rely on visual inspection of markers, then the system remains simple to operate, but soiling is not noticed until tracking accuracy is severely impaired
Solution Approach 1:
The tracking system performs self-diagnosis by automatically comparing actual marker properties with nominal properties and detecting quality degradation without requiring treatment staff intervention. This self-service capability maintains operational simplicity for users while providing precise detection of marker soiling that would otherwise be invisible to human observers.
Solution Approach 2:
The system provides automated feedback to treatment staff about marker quality through comparisons of actual versus nominal properties. This feedback mechanism detects soiling with high precision and communicates it to users in a simple manner, bridging the gap between sophisticated detection and ease of operation.
4Productivity
If the system waits for marker failure before taking action, then no additional monitoring is required, but tracking accuracy is compromised during soiling
Solution Approach 1:
The system performs preliminary quality assessment by comparing actual marker properties with stored nominal properties before tracking errors occur. This proactive detection allows the system to identify soiling conditions and alert users to replace markers before positional accuracy is severely degraded, maintaining both productivity and precision simultaneously.
Solution Approach 2:
The continuous feedback loop that compares actual versus nominal marker properties enables the system to detect quality degradation before it affects tracking accuracy. This allows uninterrupted productivity while maintaining measurement precision, as the system identifies and reports issues before they compromise positional data integrity.
Data Source
AI summary
A method for tracking at least one medical marker is provided, wherein actual properties of the at least one marker are compared with nominal properties of the at least one marker. A basis for subsequent use of information obtained from the at least one marker is formed based on the comparison.