Virtual Trans-Catheter Valve Implantation Simulation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current pre-operative planning tools for trans-catheter valve implantation lack the ability to predict interactions between implant devices and specific patient anatomy, fail to account for calcification of aortic valve leaflets, and do not provide insights into hemodynamic performance, leading to complications such as regurgitation and sub-optimal treatment outcomes.
Innovation Solution
A method for patient-specific virtual percutaneous implantation using 3D medical image data to create a finite element mesh of the aorta and aortic valve, incorporating tissue-dependent parameters and virtually deploying an implant model to predict optimal size, positioning, and functional behavior, including the impact of surrounding tissue and calcifications, using finite element analysis and computational fluid dynamics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current pre-operative planning tools are used to determine valve size and positioning, then basic anatomical measurements can be obtained, but accurate prediction of implant-anatomy interaction and hemodynamic performance cannot be achieved
Solution Approach 1:
The patent creates a virtual copy of the patient's aortic root anatomy by importing medical imaging data (CT or MRI) and generating a 3D finite element model. This digital replica allows for virtual implant deployment and testing without risking the actual patient, enabling accurate prediction of implant-anatomy interactions while maintaining manageable system complexity through software-based simulation rather than physical prototypes
Solution Approach 2:
The patent performs preliminary virtual deployment of the valve implant in the patient-specific anatomical model before the actual procedure. This pre-simulation allows clinicians to test different valve sizes and positions, predict hemodynamic outcomes, and identify potential complications in advance, thereby improving measurement precision while the computational complexity is handled by automated algorithms
2Reliability
If traditional planning methods are used, then procedural time is reduced, but complications such as regurgitation and valve misplacement increase
Solution Approach 1:
The patent implements a feedback mechanism by simulating the implant deployment and automatically analyzing the results for potential complications such as paravalvular regurgitation, coronary obstruction, and annular rupture. The system provides quantitative feedback on implant performance metrics, allowing clinicians to adjust valve size and positioning predictions iteratively, thereby improving reliability without significantly impacting procedural efficiency
Solution Approach 2:
The patent applies preliminary anti-action by identifying and preventing potential complications before the actual procedure. The simulation predicts adverse outcomes such as regurgitation and valve misplacement in advance, allowing clinicians to select optimal implant parameters that avoid these complications, thereby improving reliability while the automated nature of the analysis maintains productivity
3Manufacturing precision
If detailed patient-specific modeling is performed, then treatment accuracy is improved, but computational time and resource requirements increase
Solution Approach 1:
The patent employs parameter changes by utilizing tissue-dependent material parameters in the finite element model to accurately represent patient-specific anatomical properties. The system automatically adjusts computational parameters based on the imported imaging data, achieving high treatment planning accuracy while the automated parameter optimization reduces manual intervention time and computational overhead
Data Source
AI summary
In a first aspect, the present invention relates to a method for patient-specific virtual percutaneous implantation, comprising estimating a patient-specific anatomical model of a patient-specific aorta based on cardiovascular 2D or 3D medical image data and virtually deploying an implant model representing an implant into said patient-specific anatomical model. In a second aspect, the present invention provides a method for patient-specific virtual percutaneous implantation. In a third aspect, the present invention provides an implant for virtual percutaneous implantation. In a fourth aspect, the present invention provides a system for virtual percutaneous implantation.


