Magnetic Tracking Distortion Compensation for Surgical Accuracy
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Solution Overview
Problem
Magnetic tracking systems face inaccuracies due to the distortion of magnetic fields caused by metallic components of imaging devices like X-ray image intensifiers, which are not adequately accounted for by existing algorithms during surgical procedures.
Innovation Solution
A method and system for improving magnetic tracking accuracy by generating and sensing magnetic fields, collecting data with and without a movable magnetic-field distorter present, calculating the difference in field data, and using this information to correct the position and orientation of a magnetic-field sensor, thereby compensating for field distortions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If magnetic tracking is used to guide surgical instruments, then real-time positioning accuracy is improved, but the presence of metallic imaging devices like C-arms causes magnetic field distortion that deteriorates measurement precision
Solution Approach 1:
The system performs preliminary mapping of the magnetic field in the tracking volume before the actual surgical procedure. This pre-acquired magnetic field data serves as a reference to later compensate for distortions caused by metallic imaging devices during surgery, allowing the system to correct position and orientation measurements in real-time
Solution Approach 2:
The system continuously monitors the magnetic field during the surgical procedure and compares real-time measurements against the pre-acquired reference data. When distortions are detected from metallic devices, the system calculates correction factors and applies them to maintain accurate position and orientation determination throughout the procedure
2Adaptability or versatility
If a C-arm imaging device is used during surgery, then real-time imaging capability is improved, but the metallic components cause magnetic field distortion that worsens tracking accuracy
Solution Approach 1:
The system introduces a computational intermediary layer that processes the relationship between the C-arm's position and the magnetic field distortions it causes. By mapping the C-arm's movement and correlating it with field distortions, the system calculates compensation transformations that allow both the C-arm imaging and magnetic tracking to coexist accurately
Solution Approach 2:
The system dynamically adjusts tracking parameters based on the C-arm's position and orientation. When the C-arm is present in the tracking volume, the system modifies the magnetic field interpretation parameters using the pre-acquired distortion maps, allowing accurate tracking to continue despite the presence of the imaging device
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 approach enhances the accuracy of magnetic tracking systems by accounting for distortions caused by large, movable objects, such as C-arms, allowing for more precise localization of surgical instruments during procedures.
Implementation Method 1
generating a magnetic field capable of being sensed by a magnetic-field sensor
Implementation Method 2
sensing magnetic fields, and computing the position and orientation (P&O) of a device using the sensed fields
Implementation Method 3
the device causes significant inaccuracies in the determination of the P&O. This inaccuracy is caused by the distortion of the magnetic field due to the metallic components of the imaging device
Data Source
AI summary
Methods for accurately tracking position and orientation of a magnetic-field sensor in a tracking volume when a large magnetic-field distorter is present in the tracking volume. In some of the methods, magnetic field data is collected from within the tracking volume both with and without the large magnetic-field distorter present in the tracking volume. This data is used to obtain correction information that is subsequently used during real-time operation of the magnetic-field sensor to correct the position and orientation solutions for the sensor for magnetic-field distortions caused by the presence of the large magnetic-field distorter in the tracking volume. Others of the methods involve modeling the large magnetic-field distorter using dipole and multipole modeling. Magnetic tracking systems for implementing the methods include hardware and software for carrying out the methods.


