Stent Design Tools for Anatomical Lumen Fitting
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Solution Overview
Problem
Current stent design methods lack the ability to accurately customize stents for anatomical lumens with non-uniform shapes and sizes, leading to inefficiencies in medical treatment due to the need for precise fitting and placement.
Innovation Solution
A stent design system utilizing 3D modeling tools and machine learning algorithms to generate customized stent models by determining center points and centerlines within anatomical lumens, allowing for precise placement and sizing of stents based on user input and 2D/3D image data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If standard stent designs are used for anatomical lumens with non-uniform shapes and sizes, then manufacturing and deployment are simplified, but the stent cannot accurately fit the specific anatomical structure, leading to potential treatment inefficiencies
Solution Approach 1:
The system performs preliminary 3D modeling and analysis of the anatomical lumen structure before stent design and manufacturing. By pre-determining the centerline, cross-sectional geometry, and optimal stent dimensions based on patient-specific imaging data, the system enables customized stent fabrication that precisely matches the unique anatomy, thereby achieving accurate fitting without adding operational complexity during deployment
Solution Approach 2:
The system applies local quality by tailoring stent parameters (such as diameter, length, and radial strength) to match the specific geometric characteristics of different segments of the anatomical lumen. Each stent region can be customized according to local anatomical variations, ensuring optimal fit and performance while maintaining manufacturability through parametric design approaches
2Measurement precision
If 3D modeling and centerline determination tools are implemented, then stent placement precision is improved, but the design process complexity increases
Solution Approach 1:
The system implements self-service by enabling medical professionals to independently perform 3D lumen modeling, centerline determination, and stent sizing using automated algorithms. The software autonomously processes imaging data to generate accurate anatomical models and stent design parameters, reducing reliance on external specialized tools or expertise while enhancing placement precision through patient-specific customization
Solution Approach 2:
The system achieves universality by integrating multiple functions into a single comprehensive platform: imaging data processing, 3D lumen reconstruction, centerline calculation, cross-sectional analysis, stent parameter determination, and design visualization. This multi-functional approach improves measurement precision across all design stages while simplifying the overall process by eliminating the need for separate specialized tools
Data Source
AI summary
A method for designing a stent provides a user interface to display a 3D lumen model. The method receives a user input from the user interface indicating a selection of a point of the 3D lumen model. The method determines a 2D cursor position on the user interface corresponding to the selection. The method translates the 2D cursor position to a 3D lumen model position. The method determines a center point of the 3D lumen model based on a proximity to the 3D lumen model position. The method determines a diameter for a sphere based on the center point. The method positions a center of the sphere at the center point.