3D Heart Valve Simulation for Pre-Operative Repair Planning
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Solution Overview
Problem
Current approaches for predicting post-clip mitral valve gradient (MVG) and residual mitral regurgitation after mitral valve clip procedures are time-consuming and lack accuracy, while aortic valve repair techniques are complex and require specialized expertise, limiting their widespread application.
Innovation Solution
A generative computational predictive model that utilizes 3D imaging and parameterization to simulate surgical procedures, predicting post-operative outcomes such as MVG, regurgitation, and valve function, allowing for pre-operative planning of heart valve repair procedures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If full-scale patient-specific computational simulations are used to predict post-clip MVG and MR, then prediction accuracy is improved, but computational time and complexity increase significantly
Solution Approach 1:
The patent segments the heart valve geometry into discrete elements (triangular mesh) and divides the computational domain into manageable regions. This segmentation allows the complex simulation to be broken down into smaller, parallelizable computational tasks, reducing overall computational time while maintaining prediction accuracy.
Solution Approach 2:
The patent performs preliminary actions by pre-processing the 3D imaging data to create accurate geometric models and boundary conditions before the actual simulation. This includes segmenting the valve anatomy, defining material properties, and setting up the computational mesh in advance, which streamlines the subsequent simulation process and reduces total computational time.
2Reliability
If current computational simulation methods are applied, then post-operative outcome prediction capability is improved, but device complexity and ease of operation deteriorate
Solution Approach 1:
The patent creates a universal computational framework that can predict multiple post-operative outcomes (MVG, MR, valve morphology) using a single integrated system. This multi-functional approach consolidates what would otherwise require multiple separate simulation tools, reducing overall system complexity while maintaining comprehensive prediction capability.
Solution Approach 2:
The patent creates a digital twin (virtual copy) of the patient's heart valve anatomy that can be manipulated and simulated without affecting the actual patient. This virtual model allows for risk-free testing of different surgical scenarios and device configurations, simplifying the decision-making process while maintaining high prediction reliability.
3Measurement precision
If detailed 3D imaging and segmentation are performed, then prediction accuracy of post-operative outcomes is improved, but processing time and computational resources increase
Solution Approach 1:
The patent implements dynamic adaptive meshing that adjusts the level of computational detail based on the specific anatomical features and simulation requirements. This allows the system to concentrate computational resources on critical regions (such as the mitral valve leaflets and clip interaction zones) while using coarser meshes in less critical areas, maintaining prediction accuracy while improving processing efficiency.
Solution Approach 2:
The patent automatically adjusts simulation parameters (such as mesh density, material properties, and boundary conditions) based on the specific patient anatomy and surgical scenario. This adaptive parameter tuning optimizes the balance between prediction accuracy and computational efficiency for each individual case, preventing unnecessary computational overhead.
Data Source
AI summary
In certain aspects of the present disclosure, a computer-implemented method includes receiving a 3D imaging of a heart valve in a pre-operative state. The method includes generating a segmented heart valve by segmenting the heart valve of the 3D imaging. The method includes simulating a surgical procedure on the parameterized heart valve. The method includes determining at least one post-operative outcome based on simulating the surgical procedure on the parameterized heart valve. Systems and machine-readable media are also provided.