CFD Blood Flow Simulation Validation via Angiography
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Solution Overview
Problem
Current methods for simulating blood flow in vascular segments during angiography examinations face challenges in validating results for individual patients due to insufficiently known basic conditions, leading to potentially incorrect flow results.
Innovation Solution
A method involving recording a 3D image dataset, generating a 3D vascular model, capturing contrast agent propagation, and performing CFD simulations to generate virtual 2D angiography recordings, with iterative optimization based on comparing real and virtual angiography recordings to determine a degree of correspondence and adjust blood flow parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If CFD simulation is performed with assumed basic conditions (rigid walls, constant viscosity), then simulation can be executed, but accuracy of flow results is compromised due to unknown patient-specific parameters
Solution Approach 1:
The patent implements an iterative feedback loop where simulation results are compared against actual angiography measurements, and basic conditions are adjusted accordingly. The system uses measured flow parameters from angiography to validate and refine CFD simulation results, creating a closed-loop feedback mechanism that progressively improves accuracy while maintaining simulation executability.
2Measurement precision
If patient-specific basic conditions are measured and used in CFD simulation, then flow result accuracy improves, but measurement and validation complexity increases
Solution Approach 1:
The patent employs a multi-functional integrated system that combines CFD simulation, angiography image processing, and iterative optimization algorithms into a single unified platform. This universal system handles multiple functions (simulation, measurement, validation, optimization) simultaneously, reducing the need for separate complex measurement and validation procedures while improving flow result accuracy.
3Measurement precision
If iterative optimization with comparison to real angiography is performed, then validation accuracy improves, but computation time increases
Solution Approach 1:
The patent performs preliminary extraction of basic conditions (flow rates, pressure gradients, vessel geometry) from angiography images before initiating the iterative optimization process. By pre-processing and preparing patient-specific parameters in advance, the system reduces the computational burden during iterative optimization, thereby improving validation accuracy while minimizing additional computation time.
Data Source
AI summary
A method for simulating a blood flow in a vascular segment of a patient is proposed. A 3D image dataset of an examination region is recorded by a radiographic diagnostic device for generating a 3D vascular model. Contrast agent propagation in the examination region is captured by a dynamic 2D angiography method for generating a real 2D angiography recording. A CFD simulation of the blood flow is performed in the 3D vascular model based on a blood flow parameter for generating a virtual 2D angiography recording. A degree of correspondence between the real and the virtual 2D angiography recordings is determined from identical angulation and adjusted recording geometry of the patient and compared with predefinable tolerance values. The CFD simulation is iteratively optimized while changing the blood flow parameter as a function of the comparison. The degree of correspondence is outputted when the optimum CFD simulation is achieved.