Expandable Device Deployment Simulation for Vessel Geometry
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Solution Overview
Problem
Current methods for deploying braided flow diverters in blood vessels lack precision, relying heavily on subjective estimation by physicians, which can lead to catastrophic complications due to significant foreshortening and adaptation to vessel geometry, making it difficult to predict the final deployed length and position accurately.
Innovation Solution
A system and method that simulate the deployed configuration of expandable devices using mathematical algorithms based on varying helix pitch along the arterial axis, incorporating three-dimensional vessel geometry from imaging, allowing for precise calculation of deployed length and position, and integrating with existing imaging systems for real-time feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If physicians use subjective estimation based on nominal device diameter and vessel size to determine deployment position, then the deployment process is simple and quick, but the positioning precision is insufficient leading to catastrophic complications
Solution Approach 1:
The system performs preliminary simulation of device deployment before actual deployment occurs. By calculating the three-dimensional geometry of the vessel and simulating how the device will expand and foreshorten, the system allows physicians to predict the final deployed position and length in advance, enabling better planning and reducing the need for complex intra-procedural adjustments
Solution Approach 2:
The system creates a virtual copy or simulation of the actual deployment process. By generating a three-dimensional model of the vessel geometry and simulating device expansion within this model, physicians can visualize the expected outcome without actually deploying the device, thereby improving positioning precision without significantly increasing procedural complexity
2Adaptability or versatility
If braided flow diverters are designed to adapt to vessel geometry through radial expansion, then the device achieves good wall apposition and flexibility, but the device undergoes significant foreshortening making length prediction difficult
Solution Approach 1:
The system calculates the expected foreshortening and final deployed length before deployment by simulating the device's expansion behavior. Using the known braided construction parameters and vessel geometry, the system predicts how much the device will shorten during expansion, allowing for accurate length selection and positioning planning in advance
Solution Approach 2:
The system accounts for parameter changes that occur during device deployment, specifically the relationship between radial expansion and longitudinal foreshortening. By incorporating the braided construction geometry and material properties into the simulation, the system dynamically calculates how the device dimensions will change during expansion, enabling accurate prediction of final deployed length despite the device's adaptability
3Reliability
If physicians rely on experience and nominal dimensions for device placement, then the procedural time is reduced, but the reliability of treatment outcome is compromised
Solution Approach 1:
The system performs reliability-critical calculations before the deployment procedure. By determining the optimal device size, position, and expected final configuration in advance using three-dimensional vessel geometry and device expansion simulation, the system reduces uncertainty and improves treatment outcome reliability without adding significant time to the actual deployment process
Solution Approach 2:
The system provides visual feedback to physicians showing the predicted final device position and configuration based on the simulation. This feedback loop allows physicians to verify their placement decisions before deployment, improving reliability by catching potential errors early without requiring extensive additional procedural time
Data Source
AI summary
A system, method, computer-readable medium, apparatus, and device for simulating placement of an expandable device in a cavity is provided. For example, a three or more dimensional image of a cavity, e.g., a tubular cavity, geometry is acquired. A centerline of the cavity, and a perimeter of the cavity based on the centerline of the cavity and the three-dimensional image of the cavity geometry, are determined. The length of a wire of the expandable device as the wire rotates along the perimeter of the cavity in a deployment direction is determined. A pitch of the rotation of the wire based on a local diameter at the centerline site of rotation and in-air parameters of the expandable device is determined. A deployed device length of the expandable device along the centerline of the cavity is determined. A processor is usable to determine and/or calculate each of the above.