Robotic Pedicle Screw Placement With BMD Feedback Control
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Solution Overview
Problem
Robotic systems for placing pedicle screws in the spine underutilize the robotic manipulator during drilling and screw insertion, limiting its role to mere alignment, and lack real-time feedback on bone density variations affecting tool operation.
Innovation Solution
A surgical system incorporating a robotic manipulator that utilizes bone mineral density (BMD) maps to predict and measure operational parameters, generating corrective actions or alerts for discrepancies, and a navigation system to track and align surgical tools with planned trajectories, ensuring precise pedicle screw placement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a robotic manipulator is used to position a tool guide for pedicle screw placement, then positioning accuracy is improved, but the robotic manipulator remains underutilized during drilling and screw insertion
Solution Approach 1:
The robotic manipulator is designed to perform multiple functions throughout the surgical procedure. It positions the tool guide for pedicle screw placement, then continues to guide and control the drilling tool during pilot hole creation, and finally assists in pedicle screw insertion. This multi-functional approach eliminates the need for separate manual operations and fully utilizes the robotic system's capabilities.
Solution Approach 2:
The system incorporates sensors that provide real-time feedback on drilling parameters such as torque, speed, and resistance. This feedback is fed back to the robotic manipulator controller, which automatically adjusts drilling parameters and manipulator positioning to maintain optimal conditions throughout the drilling and screw insertion process.
2Ease of operation
If conventional drilling tools are used without robotic control, then ease of operation is maintained, but real-time feedback on bone density variations is lost
Solution Approach 1:
Sensors integrated with the robotic manipulator and drilling tool provide real-time feedback on operational parameters including torque, speed, and resistance changes. This feedback loop enables the system to detect bone density variations and other changes in the drilling environment, providing critical information that would otherwise be lost during manual drilling operations.
Solution Approach 2:
The system replaces manual mechanical sensing with electronic sensors that automatically detect and measure drilling parameters. Sensors monitor torque, speed, and resistance changes, converting mechanical feedback into electronic signals that can be processed and displayed to the surgeon in real-time.
3Manufacturing precision
If the robotic manipulator controls the entire drilling and screw insertion process, then operational precision is improved, but system complexity increases
Solution Approach 1:
The robotic manipulator system is designed with dynamic control capabilities that allow it to adapt to changing surgical conditions in real-time. The system can switch between autonomous control modes and manual override based on the surgical situation, providing precision when needed while maintaining flexibility to manage complexity.
Solution Approach 2:
The system incorporates an intermediary control layer between the robotic manipulator and the surgical tools. This intermediary layer processes sensor feedback, adjusts tool parameters, and coordinates manipulator movements, effectively managing system complexity through structured control architecture.
4Reliability
If real-time BMD mapping and monitoring are implemented, then reliability of screw placement is improved, but measurement and detection difficulty increases
Solution Approach 1:
The system replaces complex mechanical bone density measurement methods with electronic and optical sensing technologies. Sensors integrated with the robotic manipulator and imaging systems provide real-time BMD data through electrical, optical, or other non-contact means, simplifying the measurement process while maintaining high reliability.
Solution Approach 2:
The system introduces intermediary sensing layers between the surgical tools and the bone tissue. These sensors act as mediators that detect bone density variations and transmit this information to the control system, making the measurement process more accessible and manageable while maintaining reliable real-time monitoring.
Data Source
AI summary
Surgical systems and methods involve a robotic manipulator configured to support and move a surgical tool, and a control system coupled to the robotic manipulator. The control system obtains a bone mineral density (BMD) map of a target bone and controls the robotic manipulator to move the surgical tool into contact with the bone at one or more points. Using the BMD map, the control system determines predicted BMD values of the target bone at the contact points. The control system calculates an estimated operational parameter of the surgical tool based on the predicted BMD values. The control system measures an actual operational parameter of the tool during interaction with the bone and compares it to the estimated operational parameter to identify any discrepancy. Upon detecting a discrepancy, the control system generates a corrective action or alert.