Multi-Wavelength Tissue Surface Tracking for Robust Biomarker Navigation
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Solution Overview
Problem
Existing surface tissue tracking systems are not robust enough to accurately track natural tissue surface features, particularly biomarkers, due to limitations in detecting and following varying skin conditions and other biomarkers, which can affect navigation applications.
Innovation Solution
A tissue surface tracking system that utilizes multiple tracking processes operating on differently spectrally filtered images, combining tracking metrics from each process to provide a more robust and accurate navigation system. This system includes modules for receiving and processing images at different wavelengths, optimizing the detection of specific biomarkers by using different tracking algorithms and image filters, and adaptively combining tracking metrics based on performance quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single tracking process is used to follow tissue surface features, then the system is simpler to implement, but the tracking accuracy and robustness deteriorate when dealing with varying skin conditions and different biomarker types
Solution Approach 1:
The tracking system is segmented into multiple independent tracking processes, each specialized for different biomarker types. The system divides the tracking task into separate modules that process different wavelength images independently, then combines their results. This segmentation allows each module to be optimized for specific tissue features while maintaining overall system reliability.
Solution Approach 2:
The tracking system achieves multi-functionality by implementing multiple tracking processes that can handle different biomarker types (moles, varying color, other skin features) within a single unified system. Each tracking process is tuned to detect specific biomarkers, making the overall system versatile enough to track various tissue surface features under different skin conditions.
2Reliability
If multiple tracking processes are used to track different biomarkers, then the tracking accuracy and robustness improve, but the device complexity and computational load increase
Solution Approach 1:
Multiple tracking processes are merged into a unified system that combines their output metrics. The system integrates results from different tracking modules through a combination mechanism that synthesizes tracking information from multiple wavelength images and different biomarker types, achieving robust tracking without requiring completely separate systems.
Solution Approach 2:
The system adds the spectral dimension by utilizing multiple wavelengths for tracking. Instead of relying on a single imaging modality, the system processes images at different wavelengths simultaneously, creating additional informational dimensions that enhance tracking capability while managing complexity through structured processing.
3Productivity
If single wavelength imaging is used for tracking, then the system is faster and less computationally intensive, but the ability to detect and track different types of biomarkers deteriorates
Solution Approach 1:
The system changes the spectral parameter by utilizing multiple wavelengths for imaging and tracking. Each wavelength provides different contrast for different biomarker types, allowing the system to adaptively detect various tissue features. The tracking processes are tuned to specific wavelengths optimized for detecting particular biomarker characteristics.
Data Source
AI summary
Tissue surface tracking of tissue features is disclosed. First surface imaged features are tracked based on the first and second time spaced images at a first wavelength. Second surface imaged features are tracked based on the first and second time spaced tissue surface images at the second wavelength. Tracking metrics are obtained based on the tracking steps. The tracking steps are combined to provide a combined tracking metric. The combined tracking metric is used in a tissue surface navigation application.