MRI-Compatible Robotic Tracking via Passive Magnet Sensors
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Solution Overview
Problem
Current MRI-compatible surgical robotic systems face limitations in reaching targets not in the 'line-of-sight' due to limited Degrees Of Freedom and suffer from MRI noise interference, which complicates precise tumor resection and biopsy procedures.
Innovation Solution
A minimally invasive surgical system with a miniature robotic sub-system integrated with real-time image-guided tracking, using passive magnet field sensors and MRI-compatible materials, enables precise navigation and tracking within an MRI scanner, eliminating noise and distortion for continuous visualization of tumors during surgery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional MRI-compatible surgical robotic systems are used, then the system can operate within MRI scanner constraints, but the system suffers from MRI noise interference and limited Degrees of Freedom that prevent reaching targets not in line-of-sight
Solution Approach 1:
The robotic system is divided into multiple independent modules including a robotic arm, end effector, and tracking sensors. This segmentation allows each component to be optimized for specific functions while maintaining overall system flexibility and adaptability to reach targets from various angles without being constrained by limited degrees of freedom
Solution Approach 2:
A passive magnet field sensor acts as an intermediary between the robotic system and MRI scanner. The sensor tracks the position of surgical instruments by detecting magnetic field variations, enabling precise navigation and positioning without being affected by MRI noise interference, thus allowing the system to reach targets not in direct line-of-sight
2Measurement precision
If real-time tracking and navigation is implemented, then continuous visualization of tumor boundaries is achieved, but the system complexity increases with integration of multiple sensors and imaging systems
Solution Approach 1:
The system merges the MRI scanner's imaging capability with a passive magnet field tracking system into a unified navigation platform. The MRI scanner provides anatomical visualization while the magnet field sensor simultaneously tracks instrument position, combining these functions into an integrated system that achieves precise real-time tracking without requiring separate complex tracking infrastructure
Solution Approach 2:
The passive magnet field sensor utilizes the MRI scanner's own magnetic field for tracking purposes. The sensor detects variations in the MRI scanner's magnetic field to determine instrument position, allowing the system to self-track without requiring additional external tracking systems or increasing overall system complexity
3Object-affected harmful factors
If passive magnet field sensors are used for tracking, then MRI noise interference is eliminated, but the tracking range and signal strength are limited by magnetic field penetration
Solution Approach 1:
The system replaces active electromagnetic tracking systems with passive magnet field sensors that detect magnetic field variations. This substitution eliminates MRI noise interference because the passive sensors do not emit electromagnetic signals that could interfere with the MRI scanner, while still maintaining adequate tracking signal strength through sensitive magnetic field detection
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
The system allows for accurate and efficient teleoperative control of surgical devices for precise tumor resection and biopsy, reducing complications by providing real-time, continuous visualization and tracking of tumor boundaries and changes during procedures.
Implementation Method 1
using passive magnet field sensors and MRI-compatible materials, enables precise navigation and tracking within an MRI scanner
Implementation Method 2
providing real-time positioning information and image guidance
Data Source
AI summary
Telemetrical control of a robotic interventional device for minimally invasive surgical procedure is based on an operative interaction between a tracking sub-system, MRI sub-system, navigation sub-system and the robotic interventional device. The tracking sensor sub-system is integrated with the interventional device to produce tracking information corresponding to the robotic interventional device location in the operative site. The navigation sub-system integrates the tracking information with the real-time images of the operative site produced by the MRI sub-system, and displays the integrated information to a user, to enable the telemetrical control of the interventional device for performing an intended procedure (biopsy, tissue resection, etc.). The navigation sub-system, based on the integrated real-time tracking information and real-time images, calculates and dynamically updates coordinates of subsequent imaging slices.