Arthroplasty Robot Coordinate Planning for Precise Osteotomy
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Solution Overview
Problem
Existing surgical navigation robots for joint arthroplasty lack precision in determining the diseased joint section and require complex matching processes to align prostheses accurately.
Innovation Solution
A control method for a surgical robot that uses three-dimensional modeling and coordinate system establishment to select arbitrary fixed points on the patient's bone, establish a coordinate system, and calculate the interface between the prosthesis and bone, allowing for precise osteotomy resection and prosthetic placement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional surgical navigation methods are used, then the surgical process can be completed, but the precision in determining the diseased joint section is insufficient
Solution Approach 1:
The patent establishes a coordinate system and performs three-dimensional reconstruction before the actual surgery to pre-determine the diseased joint section and prosthesis positioning. This preliminary action allows the surgical robot to operate with pre-calculated precision parameters, improving measurement precision without adding complexity during the surgical procedure itself.
Solution Approach 2:
The patent creates a three-dimensional virtual model (copy) of the patient's joint anatomy through CT scan data reconstruction. This digital copy allows for precise measurement and planning of the diseased section without physically manipulating the actual joint, thereby improving measurement precision while avoiding the complexity of direct physical measurement systems.
2Measurement precision
If multiple matching attempts are made to achieve precise prosthesis positioning, then the matching accuracy improves, but the surgical time and trauma increase
Solution Approach 1:
The patent performs prosthesis positioning simulation and interface coordinate calculation before the actual surgery through three-dimensional reconstruction. By pre-determining the optimal prosthesis position and orientation in the virtual model, the system eliminates the need for multiple trial-and-error positioning attempts during surgery, thereby improving matching accuracy while reducing surgical time.
Solution Approach 2:
The surgical robot uses the pre-calculated interface coordinates from the three-dimensional model as feedback guidance to automatically position the prosthesis. This feedback mechanism ensures high matching accuracy on the first attempt by continuously referencing the pre-planned optimal position, avoiding repeated adjustments that would increase surgical time.
3Productivity
If manual positioning methods are used, then the surgical procedure can be performed, but the efficiency and precision of prosthesis pre-positioning are reduced
Solution Approach 1:
The patent replaces manual mechanical positioning methods with an automated computer-based three-dimensional reconstruction system. The system automatically calculates interface coordinates and determines prosthesis positioning based on CT scan data, eliminating the inefficiency of manual measurement while maintaining high precision through algorithmic accuracy.
Solution Approach 2:
The patent transforms physical CT scan data into three-dimensional digital models with precise coordinate parameters. By changing the representation from physical measurements to digital parameters, the system achieves both high efficiency through automated processing and high precision through accurate mathematical modeling of the joint anatomy and prosthesis interface.
Data Source
AI summary
A control method for an arthroplasty surgical robot includes: capturing a bone image, transmitting the image to a computer system, and acquiring image data of a bone; selecting a suitable prosthesis model and placing it on a diseased joint for matching, wherein the overlapping part between the model and the bone is the part that needs to be removed and replaced; mounting signal sources; capturing a bone image again, including the signal sources and the joint part; establishing a coordinate system using the signal sources as the origin, and calculating and memorizing an interface between the model and the bone overlapping part and the coordinates of the interface in the coordinate system; and receiving the coordinates by a surgical robot, and obtaining the positional coordinates by the surgical robot of a part of the diseased joint that needs to be removed, and performing a surgical operation by the surgical robot.