Image-Guided Robotic Surgery for Anatomical Landmark Navigation
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Solution Overview
Problem
The high degree of manual surgical precision and expertise required for procedures like holmium laser enucleation of the prostate (HoLEP) poses a barrier to its widespread adoption, necessitating methods and systems to make the procedure more accessible and lower the learning and training curve for surgeons.
Innovation Solution
An image-guided surgical robotic platform that includes a control cart and a robotic cart, equipped with processors and storage mediums, to receive imaging data, determine anatomical landmarks, and generate presentations on a user interface, aiding surgeons with real-time imaging and guiding the end effector for precise surgical actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual surgical techniques are used to achieve high precision outcomes, then surgical efficacy is improved, but the learning curve and accessibility are worsened
Solution Approach 1:
The patent introduces an image-guided robotic system as an intermediary between the surgeon and the surgical site. The system includes imaging subsystems that capture real-time surgical site data, processing subsystems that generate presentations with anatomical landmarks and end effector location, and a robotic subsystem that executes precise movements. This intermediary system maintains high surgical precision while reducing the learning curve by providing automated guidance and visualization.
Solution Approach 2:
The patent replaces manual mechanical surgical operations with an automated robotic system. The robotic subsystem holds and positions the end effector based on processed imaging data, substituting the surgeon's manual dexterity requirements with automated mechanical precision. This substitution maintains surgical efficacy while making the procedure more accessible to surgeons with varying skill levels.
2Ease of operation
If automated robotic guidance is implemented to reduce learning curve, then ease of operation is improved, but system complexity is worsened
Solution Approach 1:
The patent designs the surgical robotic system to perform multiple functions through integrated subsystems. The imaging subsystems capture various types of surgical site data, the processing subsystems generate multiple types of presentations (including anatomical landmarks, end effector location, and surgical plane information), and the robotic subsystem executes diverse surgical tasks. This multi-functionality reduces overall system complexity by consolidating capabilities into a unified platform.
Solution Approach 2:
The system incorporates self-service features through automated image processing and presentation generation. The processing subsystems automatically generate presentations with anatomical landmarks and end effector location information without requiring manual intervention. The robotic subsystem autonomously positions the end effector based on processed data, reducing the operational burden on surgeons and simplifying the user interface.
Data Source
AI summary
A system, including one or more processors configured to receive imaging data of a surgical site, where an end effector held by a surgical robot is positioned in the surgical site, determine one or more anatomical landmarks in the imaging data, determine a location of the end effector, and generate a presentation to be presented on a user interface. The presentation includes one or more presentation elements indicative of the one or more anatomical landmarks in the surgical site, and one or more presentation elements indicative of a location of the end effector relative the one or more anatomical landmarks.