Surgical Tracker Light Control for Precise Fiducial Detection
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Solution Overview
Problem
Conventional surgical navigation systems face challenges in accurately tracking fiducials due to suboptimal lighting conditions, which affect tracking precision.
Innovation Solution
A navigation system that includes a tracker with predefined active or passive markers, a localizer camera, and a controller to adjust light signals based on blob characteristics to optimize tracking precision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional surgical navigation systems use fixed light signals from fiducials, then the system structure remains simple, but tracking precision deteriorates under suboptimal lighting conditions
Solution Approach 1:
The patent implements dynamic adjustment of light signal characteristics (intensity, wavelength, duration) based on real-time detection of lighting conditions and camera sensor responses. The controller continuously monitors blob characteristics and modifies fiducial light signals accordingly, transforming the static tracking system into an adaptive one that optimizes performance under varying lighting conditions.
Solution Approach 2:
The system establishes a feedback loop where the camera captures image data, the controller analyzes blob characteristics (intensity, size, shape), compares them against optimal values, and adjusts the fiducial light signals accordingly. This closed-loop control enables continuous optimization of tracking precision by using actual measurement results to guide subsequent adjustments.
2Measurement precision
If the navigation system adjusts light signals dynamically, then tracking precision improves under varying lighting conditions, but the complexity of controlling and coordinating multiple trackers increases
Solution Approach 1:
Each tracker unit operates autonomously with its own controller that independently detects lighting conditions, analyzes camera image data, and adjusts its fiducial light signals without requiring centralized coordination. This self-service capability eliminates the need for complex inter-tracker communication and control synchronization, simplifying system operation while maintaining high tracking precision.
3Measurement precision
If active markers are used to emit light signals, then tracking precision improves in low light conditions, but energy consumption increases
Solution Approach 1:
The system employs periodic or pulsed light signals from active markers rather than continuous emission. The controller activates fiducials only when needed for tracking updates, adjusting the frequency and duration of light pulses based on lighting conditions and tracking requirements. This periodic operation maintains adequate signal strength for precise tracking while significantly reducing overall energy consumption compared to continuous illumination.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances tracking precision by adjusting light signals to match optimal characteristics, improving the accuracy of fiducial detection in varying lighting conditions.
Implementation Method 1
a tracker disposed relative to the object and including a predefined geometry of active markers for tracking a pose of the tracker in the surgical workspace, a localizer camera configured to cooperate with the tracker to generate image data indicating a blob for each of the active markers generated from a light signal emitted from the active marker
Implementation Method 2
a localizer camera including a light source configured to emit a light signal for illuminating the passive markers, the localizer camera being configured to generate image data indicating a blob for each of the passive markers generated from a reflection by the passive marker of the light signal emitted from the light source
Data Source
AI summary
Systems and methods for optimizing tracking an object in a surgical workspace. A tracker is disposed relative to the object that includes a predefined geometry of markers for tracking a pose of the tracker in the surgical workspace. A localizer camera cooperates with the tracker to generate image data indicating a blob for each of the markers generated from a light signal received from the marker. A characteristic of each blob is acquired, and the acquired characteristics are compared to an optimal characteristic. Based on the comparison, the operation of the trackers, the localizer, or both are adjusted to optimize the blobs generated from the markers.