Surgical Navigation Error Correction via Motion Sensor Compensation
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Solution Overview
Problem
Surgical navigation systems face inaccuracies in mapping instrument icons onto patient images due to motion errors not accurately represented in the image, which can lead to incorrect positioning and negate the benefits provided to clinicians.
Innovation Solution
Incorporating a motion sensor, such as an accelerometer or gyroscopic sensor, to measure and compensate for instrument motion, allowing the system to adjust the instrument icon's location in real-time, thereby correcting for errors caused by movement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If motion compensation is not implemented, then the system remains simple and fast, but the positioning accuracy deteriorates due to instrument motion not being represented in the patient image
Solution Approach 1:
A motion sensor is introduced as an intermediary device that measures instrument motion independently. The sensor data serves as a mediator between the tracking system and the image mapping process, allowing the system to compensate for motion effects without requiring complex changes to the core imaging or tracking infrastructure.
Solution Approach 2:
The system implements feedback by continuously monitoring instrument motion through the motion sensor and using this information to adjust the instrument icon positioning in real-time. The measured acceleration data feeds back into the mapping algorithm to dynamically correct for motion-induced errors, improving accuracy without requiring a complete system redesign.
2Measurement precision
If motion sensor data is integrated, then the positioning accuracy improves, but the processing time and computational load increase
Solution Approach 1:
The motion sensor continuously measures and records acceleration data in advance, building up a history of motion information before it is needed for correction. This preliminary data collection allows the system to quickly retrieve and apply correction values without performing complex real-time calculations during critical positioning moments.
Solution Approach 2:
The system transforms the raw acceleration data from the motion sensor into corrected position parameters through mathematical integration and transformation. By changing the parameters from acceleration to velocity and position, the system efficiently converts motion measurements into directly applicable correction values for the instrument icon mapping.
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
This solution enhances the accuracy of instrument icon mapping on patient images, ensuring precise positioning and improving the reliability of surgical navigation systems, especially in procedures involving complex anatomy or dynamic patient conditions like a beating heart.
Implementation Method 1
electromagnetic tracking systems may include an electromagnetic field emitter that generates an electromagnetic field and a magnetic field sensor that generates signals in response to the field
Implementation Method 2
A surgical navigation system according to an example of the present disclosure includes a motion sensor (e.g., an inertial sensor), such as an accelerometer and/or gyroscopic sensor
Data Source
AI summary
A medical system includes a sensor location module, a first module, and a second module. The sensor location module determines a location of a magnetic field sensor within a magnetic field. The first module determines an acceleration of the magnetic field sensor. The second module indicates a modified location of the magnetic field sensor in an image of a medical patient based on the acceleration and one or more previously determined locations.