Patient-Specific 3D Model Registration for Robotic Tool Path Simulation
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Solution Overview
Problem
Current medical simulation technologies face challenges in generating accurate and reliable digital simulations for specific medical procedures on individual patients, due to anatomical variations and resource-intensive computing requirements.
Innovation Solution
The system incorporates patient-specific 3D models generated from medical scans, allowing for customized simulations by registering these models with predetermined coupling points in a digital environment. This enables realistic simulation of procedures and generation of candidate tool paths for evaluation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a digital simulation is generated for a particular procedure on a particular subject, then the simulation accuracy and reliability are improved, but the computing resource utilization increases excessively
Solution Approach 1:
The system segments the 3D model generation process by creating a reusable digital twin of the anatomical structure that can be stored and referenced multiple times. Instead of generating a complete high-fidelity simulation from scratch for each procedure, the system divides the work into: (1) creating the base digital twin once from medical scan data, and (2) reusing this twin across multiple procedure simulations. This segmentation reduces redundant computing resource utilization while maintaining simulation accuracy.
Solution Approach 2:
The system performs preliminary action by generating and storing a digital twin of the anatomical structure before the actual procedure simulation. This digital twin serves as a pre-computed foundation that captures the subject's specific anatomy with high fidelity. When a procedure simulation is needed, the system starts from this pre-prepared digital twin rather than generating the anatomical model from scratch, significantly reducing the computing resources required for each simulation while maintaining accuracy.
2Reliability
If a digital simulation is generated for a particular procedure on a particular subject, then the simulation accuracy and reliability are improved, but the time required for simulation generation increases
Solution Approach 1:
The system segments the simulation workflow into a one-time digital twin creation phase and reusable procedure simulation phases. The time-consuming task of generating high-fidelity anatomical models is separated from the actual procedure simulations. By storing the digital twin for reuse, the system eliminates repeated model generation time while maintaining anatomical accuracy across multiple simulations.
Solution Approach 2:
The system performs the time-intensive anatomical model generation as a preliminary action before procedure simulations are needed. The digital twin containing the subject's specific anatomy is created in advance and stored for rapid retrieval. This preliminary preparation reduces the time required for each subsequent procedure simulation while preserving simulation accuracy.
3Reliability
If patient-specific 3D models with high resolution are used, then the simulation realism is improved, but the computing resource requirements increase
Solution Approach 1:
The system performs the computationally intensive high-resolution 3D model generation as a preliminary action to create a detailed digital twin of the patient's anatomy. This high-fidelity model is generated once from medical scan data and stored for reuse. Subsequent procedure simulations leverage this pre-computed high-resolution model without repeating the expensive rendering and processing operations, thereby maintaining simulation realism while reducing overall computing resource requirements.
Data Source
AI summary
Tool navigation using customized medical simulation is provided. A system accesses a 3-dimensional model of an organ generated via a scan of a subject on which a procedure is to be performed via a robotic medical system. The system registers the 3-dimensional model of the organ with predetermined coupling points in a digital environment established for the procedure on the subject. The system executes, via the digital environment, a simulation of the procedure to identify a candidate path for a tool through the 3-dimensional model of the organ registered with the predetermined coupling points in the digital environment. The system provides, for display via a graphical user interface, an indication of the candidate path for the tool to perform the procedure via the robotic medical system.