Coupled Vascular Models for Non-Invasive Hemodynamic Parameter Determination
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Solution Overview
Problem
Current methods for determining hemodynamic parameters in vascular diseases are either invasive, causing physical damage, or non-invasive with low accuracy, necessitating a more accurate and efficient approach.
Innovation Solution
A method and system using image data to generate vascular models, couple them via an intermediate model, and determine flow field distributions to calculate hemodynamic parameters like pressure, wall stress, and flow velocity non-invasively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If invasive measurements are used to determine hemodynamic parameters, then measurement precision is improved, but object-affected harmful factors increase due to physical damage and risks
Solution Approach 1:
The patent uses image data as an intermediary to create vascular models that represent the actual blood vessels. These models serve as mediators between the non-invasive imaging process and the hemodynamic parameter determination, allowing accurate measurements without direct physical intrusion into the vascular system
Solution Approach 2:
The patent creates virtual copies of blood vessels through vascular models generated from image data. These digital replicas preserve the geometric and hemodynamic characteristics of the actual vessels, enabling invasive-level measurement accuracy through non-invasive means by analyzing flow fields in the copied vascular structure
2Object-affected harmful factors
If conventional non-invasive measurements are used to determine hemodynamic parameters, then object-affected harmful factors are reduced, but measurement precision deteriorates
Solution Approach 1:
The patent replaces conventional non-invasive measurement methods with a computational approach that uses image data to construct vascular models and simulate blood flow. This substitution of mechanical measurement systems with computational fluid dynamics modeling enables high-precision hemodynamic parameter determination while maintaining non-invasive benefits
Solution Approach 2:
The patent transforms static image data into dynamic vascular models with flow field parameters. By changing from simple imaging parameters to comprehensive hemodynamic parameters (velocity, pressure, wall shear stress) through computational modeling, the system achieves high measurement precision without invasive procedures
Data Source
AI summary
A method for determining hemodynamic parameters may be provided. The method may include obtaining image data of a subject. The method may include generating a first vascular model and a second vascular model based on the image data and coupling the first vascular model with the second vascular model using an intermediate model to form a coupled vascular model. The method may also include setting at least one of a first boundary condition of the first vascular model or a second boundary condition of the second vascular model and determining a flow field distribution of the coupled vascular model based on the at least one of the first boundary condition or the second boundary condition. The method may further include determining hemodynamic parameters based on the flow field distribution.