Patient-Specific Mitral Valve CAD Modeling for Clip Planning
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for treating mitral regurgitation (MR) do not effectively simulate the dynamics of the mitral valve and blood flow, limiting the customization and efficacy of transcatheter edge-to-edge treatments.
Innovation Solution
A patient-specific CAD model is generated using digital images and a multi-physics approach, integrating a CAD model of the mitral valve with a lumped parameter hemodynamics model to simulate blood flow, allowing for adjustment of clip placement and type to improve post-operative outcomes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a patient-specific multi-physics model is generated to accurately represent mitral valve anatomy and physiology, then treatment customization and efficacy are improved, but device complexity and computational requirements increase
Solution Approach 1:
The mitral valve is segmented into distinct anatomical structures (annulus, leaflets, chordae tendineae, papillary muscles) that are independently modeled and then assembled. This segmentation allows each structure to be represented with appropriate geometric and material properties while maintaining overall system accuracy, resolving the contradiction between detailed representation and model complexity.
Solution Approach 2:
The model transitions from static anatomical representations to dynamic simulations that capture the time-varying behavior of the mitral valve during cardiac cycles. The multi-physics framework enables dynamic coupling between structural mechanics of valve tissues and hemodynamic flow, providing accurate predictive capability while using efficient numerical methods to manage computational complexity.
2Measurement precision
If digital images are segmented to isolate mitral valve structures for CAD model generation, then anatomical accuracy is improved, but processing time and computational resources increase
Solution Approach 1:
Image segmentation and processing are performed as preliminary steps before final model generation and clinical decision-making. By completing the computationally intensive segmentation and registration tasks upfront, the system prepares accurate anatomical data that can be reused for multiple simulation scenarios without repeating the time-consuming processing, thus resolving the time-accuracy tradeoff.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
Systems and method for generating a patient specific CAD model of a mitral valve include receiving digital images of a mitral valve of a patient and segmenting the digital images to identify structures of the mitral valve. A CAD model of the mitral valve is generated including modeled structures representing the identified structures. The modeled structures in the CAD model are connected at multiple locations. First loading conditions for the modeled structures are determined using a first hemodynamics model. Movement of the modeled structures are simulated based on the first loading conditions. A specified area is determined based on the CAD model. Second loading conditions are determined using a second hemodynamics model that receives the specified area as an input. The CAD model is calibrated by modifying a configuration of the modeled structures in the CAD model based on the loading conditions and movement of the modeled structures.