Robotic Implant Segmentation for Minimally Invasive Placement
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Solution Overview
Problem
Traditional surgical methods often result in unintended harm to patients due to difficulty in visualizing surgical tool movements within the body, requiring larger incisions and causing internal injuries, and there is a need for improved methods to prevent surgical errors and adverse events during operations.
Innovation Solution
A computer-implemented system for robotic surgical implant installation that uses digital image analysis to plan a less-invasive route for implant placement, segmenting surgical implants into components, and simulating their movement through the patient's body to minimize incision size and reduce internal injury.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If traditional surgical methods are used to implant surgical tools, then the surgical procedure can be completed, but larger incisions are required and internal injuries occur
Solution Approach 1:
The surgical implant is divided into multiple segments or components that can be inserted separately through smaller incisions. The system segments the implant into sections that can navigate through the body's natural pathways before being assembled at the target location, eliminating the need for a single large incision.
Solution Approach 2:
The surgical implant components are designed to nest within each other during insertion, allowing multiple sections to pass through a single small incision. The segmented components are inserted in a nested configuration and then deployed or expanded at the target site to form the complete implant.
2Reliability
If conventional communication-based methods are used to prevent surgical errors, then communication between team members occurs, but surgical errors and adverse events still occur
Solution Approach 1:
The system incorporates real-time feedback mechanisms where the robotic system continuously monitors its own actions, patient vitals, and procedural status, providing immediate feedback to the surgical team and automatically adjusting parameters to prevent errors. This closed-loop control ensures critical information is not lost through communication breakdowns.
Solution Approach 2:
The robotic surgical system performs self-verification and self-correction of surgical steps, automatically checking against the surgical plan and correcting deviations without requiring constant human communication. The system manages its own error prevention through automated monitoring and adjustment.
3Manufacturing precision
If digital image analysis and robotic systems are implemented, then surgical precision and minimally invasive procedures are achieved, but system complexity increases
Solution Approach 1:
The robotic surgical system is designed with multi-functional components that perform multiple tasks. The same robotic manipulator used for precise implant placement also performs tissue manipulation, tool guidance, and verification functions, reducing the need for separate specialized devices and simplifying the overall system.
Data Source
AI summary
Computer-implemented digital image analysis methods, apparatuses, and systems for robotic installation of surgical implants are disclosed. A disclosed apparatus plans a route within an anatomy of a patient from an incision site to a surgical implant site for robotic installation of a surgical implant. The apparatus uses digital imaging data to identify less-invasive installation paths and determine the dimensions of the surgical implant components being used. The apparatus segments the surgical implant into surgical implant subcomponents and modifies the surgical implant subcomponents, such that they can be inserted using the identified less-invasive installation paths.