Spinal Rod Bend Curve Generation From Robotic Implant Poses
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Designing and implanting spinal rod fixation systems in orthopedic surgery, particularly for spinal surgery, is challenging due to the need for precise orientation and attachment to individual vertebrae, which varies significantly between patients and requires complex bending and positioning to fit anatomical structures.
Innovation Solution
A method for robotic-assisted surgery that captures multiple poses of surgical tools at a surgical site, determines implant positions, and generates bending instructions for linking devices to achieve precise attachment to vertebrae using imaging systems and robotic devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual bending and positioning methods are used for spinal rods, then surgeon flexibility and adaptability are maintained, but surgical precision and consistency deteriorate
Solution Approach 1:
The patent replaces manual mechanical bending and positioning with an automated robotic system that uses imaging data to precisely position pedicle screws and generate bend curves for spinal rods. The robotic device captures poses, determines implant positions, and generates bending instructions automatically, substituting surgeon manual manipulation with machine-controlled precision.
Solution Approach 2:
The patent creates a digital copy of the patient's anatomy through imaging systems (CT or MRI scans) to generate a three-dimensional model. This digital model is then used to plan screw trajectories and generate rod bend curves, allowing precise replication of the planned configuration without manual measurement and calculation during surgery.
2Manufacturing precision
If customized rod bending is performed for each patient's anatomy, then implant fit and surgical outcome improve, but surgical time and complexity increase
Solution Approach 1:
The patent performs all rod bending calculations and configurations in advance, before the surgery begins. The system captures imaging data, generates a three-dimensional model, plans screw trajectories, and generates complete bend curves with all bend points and parameters predetermined. This preliminary computational work eliminates time-consuming manual bending decisions during the actual surgery.
Solution Approach 2:
The patent replaces time-consuming manual rod bending with automated robotic positioning and computer-generated bending instructions. The robotic device precisely positions implants according to pre-calculated parameters, and the system generates detailed bending instructions that can be executed with high precision, significantly reducing the time required compared to traditional manual methods.
3Measurement precision
If multiple imaging captures are performed to ensure precise implant positioning, then positioning accuracy improves, but radiation exposure and procedural complexity increase
Solution Approach 1:
The patent performs comprehensive imaging and three-dimensional model generation before surgery begins. All necessary anatomical data is captured in advance to create a detailed digital model that guides implant positioning throughout the procedure. This preliminary imaging approach allows single-use or minimal intraoperative imaging, reducing cumulative radiation exposure while maintaining high positioning accuracy through repeated reference to the pre-created digital model.
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
Enables precise and efficient placement of spinal rods by generating customized bend curves for linking devices, accommodating individual patient anatomy and physician preferences, thereby improving surgical accuracy and efficiency.
Implementation Method 1
capturing, via an imaging system, a plurality of poses of a surgical tool coupled to a robotic device at a surgical site based on infrared signals associated with at least one of the robotic device or the surgical tool coupled to the robotic device
Data Source
AI summary
A method for robotic assisted surgery. The method includes capturing a plurality of poses of a surgical tool coupled to a robotic device at a surgical site. The plurality of poses correspond to instances of a final placement of surgical implants at the surgical site. The method also includes determining a plurality of positions of the surgical implants located at the surgical site based on the captured plurality of poses. The method also includes generating a bend curve having a plurality of bend points based on the determined plurality of positions of the surgical implants. The method also includes generating bending instructions for bends to be performed on a linking device configured for attachment to the surgical implants.