Multiphase Vascular CFD Analysis for Accurate Blood Flow Assessment
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Solution Overview
Problem
Existing methods for analyzing blood flow conditions using CFD are inadequate for comprehensively reflecting the actual condition and changing rules of vascular regions, and inaccurately selecting time phases can lead to deviations in results.
Innovation Solution
A method and system employing computational fluid dynamics (CFD) to analyze blood flow by correlating vascular models across multiple time phases, generating grids, and determining conditions such as blood velocity, pressure, and wall stress, using image segmentation and reconstruction techniques to create accurate vascular models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a single time phase is used for CFD analysis, then the analysis is simple and fast, but it cannot comprehensively reflect the actual condition and changing rules of the vascular region
Solution Approach 1:
The patent segments the blood flow analysis into multiple discrete time phases (e.g., systole, diastole, and intermediate phases). Each time phase is analyzed separately using CFD, allowing comprehensive capture of blood flow characteristics while maintaining manageable computational complexity for each phase.
Solution Approach 2:
The patent employs periodic analysis of blood flow at multiple time phases throughout the cardiac cycle. By systematically analyzing each phase in sequence and correlating the results, the method comprehensively reflects the dynamic changing rules of blood flow without requiring continuous real-time computation.
2Loss of information
If multiple time phases are analyzed using CFD, then comprehensive blood flow conditions are obtained, but the device complexity and computational requirements increase
Solution Approach 1:
The patent performs preliminary actions by first obtaining multi-phase imaging data (CTA or MRA) and reconstructing vascular models before conducting CFD analysis. Boundary conditions for each time phase are pre-defined based on physiological parameters, reducing the complexity during the actual CFD computation phase.
Solution Approach 2:
The patent creates simplified computational models that copy the essential geometric features of the actual vasculature from medical images. These simplified models retain the critical anatomical characteristics needed for accurate CFD analysis while reducing mesh complexity and computational requirements.
3Device complexity
If time phases are selected inaccurately, then the analysis is simpler, but the results deviate from actual blood flow conditions
Solution Approach 1:
The patent incorporates feedback mechanisms by correlating CFD results across multiple time phases to validate and refine the analysis. The system checks whether the blood flow parameters at different phases are consistent with physiological expectations, allowing for adjustment of time phase selection and boundary conditions to improve accuracy.
Solution Approach 2:
The patent systematically varies key parameters such as blood flow rate, pressure, and viscosity across different time phases based on physiological data. By adjusting these parameters to reflect actual cardiac cycle variations, the analysis maintains high accuracy while following a standardized procedure that balances simplicity and precision.
Data Source
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AI summary
The present application relates to a method and system for analyzing blood flow conditions. The method includes: obtaining images at multiple time phases; constructing multiple vascular models corresponding to the multiple time phases; correlating the multiple vascular models; setting boundary conditions of the multiple vascular models respectively based on the result of correlation; and determining condition of blood vessel of the vascular models.