Coupled Vascular Models for Non-Invasive Hemodynamic Parameter Determination
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Solution Overview
Problem
Current methods for determining hemodynamic parameters, such as those used in vascular disease diagnosis, often involve invasive procedures with risks or non-invasive methods with low accuracy.
Innovation Solution
A system and method that generate vascular models from image data to couple blood vessels and determine flow field distributions, allowing for non-invasive calculation of hemodynamic parameters like pressure and wall stress using an intermediate flow resistance model.
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 damages and risks
Solution Approach 1:
The patent introduces an intermediate flow resistance model as a mediator between the vascular models and hemodynamic parameter calculations. This intermediate model enables non-invasive determination of hemodynamic parameters by establishing mathematical relationships that bridge anatomical structure data and functional hemodynamic data, eliminating the need for direct invasive measurements while maintaining accuracy
Solution Approach 2:
The patent replaces the mechanical invasive measurement system with a computational fluid dynamics approach. Instead of physically inserting catheters or sensors into blood vessels, the system uses image-based vascular models combined with flow resistance models to calculate hemodynamic parameters, substituting physical intrusion with mathematical simulation
2Object-affected harmful factors
If 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 segments the complex hemodynamic measurement problem into multiple components: (1) image-based vascular model construction, (2) intermediate flow resistance model development, and (3) coupled model integration. This segmentation allows each component to be optimized independently while collectively achieving high measurement precision through non-invasive means
Solution Approach 2:
The patent creates a composite modeling approach by integrating two different types of vascular models (first and second vascular models) with an intermediate flow resistance model. This composite model structure combines anatomical accuracy from image data with hemodynamic realism from flow resistance relationships, achieving high precision non-invasively
3Measurement precision
If coupled vascular models with intermediate models are generated and solved, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent divides the complex coupled model solving process into separate, manageable steps: first generating individual vascular models independently from image data, then introducing the intermediate flow resistance model to connect them, and finally solving the coupled system. This segmentation reduces computational complexity compared to attempting to solve the entire system simultaneously
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.