Dynamic 3D Surgical Navigation with Tissue Deformation Simulation
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Solution Overview
Problem
Surgeons lack a surgical tool that provides realistic, dynamic, and interactive 3D visualizations of patient-specific anatomy during procedures, failing to offer real-time proximity warnings for medical tools relative to anatomical structures, which hinders precision and safety.
Innovation Solution
The Surgical Navigation Advanced Platform (SNAP) transforms static medical images into dynamic, interactive 3D scenes by coupling tissue dynamics and tool characteristics, allowing surgeons to manipulate virtual tools within a realistic environment, providing real-time proximity warnings through visual, vocal, and other feedback mechanisms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If static medical images are used for surgical navigation, then device complexity is reduced, but surgical precision and safety are compromised due to lack of real-time tissue deformation feedback
Solution Approach 1:
The system transforms static medical images into dynamic visualizations that simulate tissue deformation in real-time based on actual surgical tool movements. This allows surgeons to observe how tissues will deform during the procedure, providing predictive feedback that enhances surgical precision without requiring complex physical prototypes
Solution Approach 2:
The system creates a virtual copy of the patient's anatomy from medical images and implements it in a simulation environment. This virtual model replicates tissue properties and deformation characteristics, allowing surgeons to practice and plan procedures safely before performing them on actual patients
2Reliability
If realistic tissue dynamics modeling is implemented, then surgical safety is improved through proximity warnings, but computational requirements and system complexity increase
Solution Approach 1:
The system implements real-time feedback mechanisms that monitor the virtual surgical tool's proximity to critical anatomical structures and provide immediate warnings to the surgeon. This feedback loop continuously updates the simulation based on actual tool positions, enhancing surgical safety through proactive hazard detection
Solution Approach 2:
The system performs preliminary risk assessment by simulating potential surgical paths and identifying hazardous areas before the actual procedure begins. Critical structures are pre-identified and marked in the virtual model, allowing surgeons to plan safe approaches in advance
3Reliability
If interactive 3D visualization is provided, then surgeon training quality is improved, but processing time and computational resources increase
Solution Approach 1:
The system updates the visual simulation at optimized intervals rather than continuously, refreshing the tissue deformation display based on significant tool movements or procedural milestones. This periodic updating maintains training effectiveness while reducing unnecessary computational overhead
Data Source
AI summary
A system and method for converting medical images of a particular patient into high resolution, 3D dynamic and interactive images interacting with medical tools including medical devices by coupling a model of tissue dynamics and tool characteristics to the patient specific imagery for simulating a medical procedure in an accurate and dynamic manner. The method includes a tool to add and/or to adjust the dynamic image of tissues and ability to draw and add geometric shapes on the dynamic image of tissues. The system imports the 3D surgery plan (craniotomy, head position, approach etc.). The surgeon establishes multiple views, rotates and interacts with the navigation image to see behind pathology and vital structures. The surgeon can make structures such as tumors, vessels and tissue transparent to improve visualization and to be able to see behind the pathology. The System can warn on proximity of tools to specific anatomical structure.


