Image-Guided Implant Segmentation for Less-Invasive Robotic Installation
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Solution Overview
Problem
Conventional surgical methods often result in adverse events due to difficulties in visualizing and maneuvering surgical tools within the patient's body, leading to unintended harm and inefficiencies in minimally invasive procedures.
Innovation Solution
A computer-implemented digital image analysis system for robotic surgical implant installation, which includes route planning and segmentation of surgical implants into subcomponents to navigate through the body using identified less invasive paths, reducing the need for large incisions and improving maneuverability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If conventional surgical methods are used to install implants, then the implantation can be completed, but tissue damage is extensive and recovery time is prolonged
Solution Approach 1:
The surgical implant is divided into multiple subcomponents that can be navigated through the body separately via less invasive paths, then assembled at the target site. This segmentation allows each component to pass through smaller openings, reducing tissue damage during insertion while maintaining the functionality of the complete implant structure.
Solution Approach 2:
Multiple implant subcomponents are designed to be nested within each other or within delivery catheters, allowing them to be transported through the body via minimally invasive routes. The nested structure enables compact delivery through small incisions, reducing the size of surgical openings needed and thereby minimizing tissue trauma.
2Ease of operation
If large incisions are made to install implants, then maneuverability is improved, but patient safety is compromised and tissue damage increases
Solution Approach 1:
By dividing the implant into smaller subcomponents, each component can be maneuvered through less invasive paths with greater precision. The segmented approach allows robotic systems to navigate complex anatomical pathways more safely, reducing the risk of unintended harm while maintaining adequate maneuverability for proper implant placement.
Solution Approach 2:
The patent replaces manual surgical manipulation with robotic systems that use digital image analysis and computer-controlled mechanisms to navigate and assemble implant components. This substitution provides more precise control and safety monitoring, reducing patient safety risks while maintaining maneuverability through automated navigation along planned routes.
3Object-affected harmful factors
If minimally invasive techniques are used, then tissue damage is reduced, but the complexity of route planning and navigation increases
Solution Approach 1:
The patent employs digital image analysis systems and computer algorithms to automatically plan navigation routes and guide robotic delivery of implant components. This computational approach replaces complex manual route planning with automated image-guided navigation, reducing the perceived complexity for surgeons while enabling minimally invasive access paths.
Solution Approach 2:
The system introduces digital imaging and computer-based navigation as intermediary tools between the surgeon and the surgical field. These intermediaries provide real-time visualization and guidance, simplifying the route planning process by presenting pre-calculated optimal paths based on patient-specific anatomical data, thereby reducing the complexity burden on the surgical team.
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.