Method and apparatus for determining integrated computational fluid dynamics parameters of the internal carotid artery

By measuring the integrated computational fluid dynamics parameters of the internal carotid artery, the shortcomings of the overall analysis of the internal carotid artery are overcome. This method enables the comprehensive measurement of hemodynamic parameters and wall shear stress, quantifies the degree of stenosis and flow field disturbance, assists in locating lesions, assesses the risk of plaque rupture, and promotes the understanding of the pathophysiological mechanisms of atherosclerosis.

CN122296853APending Publication Date: 2026-06-30TIANJIN FIRST CENT HOSPITAL
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-03
Publication Date
2026-06-30

AI Technical Summary

Technical Problem

Existing technologies lack the ability to measure integrated computational fluid dynamics parameters of the internal carotid artery, making it difficult to conduct a comprehensive analysis and resulting in insufficient understanding of the pathophysiology of the internal carotid artery.

Method used

This paper provides a method for measuring integrated computational fluid dynamics parameters of the internal carotid artery. By acquiring the centerline and vessel wall data of the entire internal carotid artery, the method calculates hemodynamic parameters and wall shear stress-derived parameters, outputs a visual image, and analyzes the impact of stenosis on the vessel.

Benefits of technology

It enables the comprehensive measurement of hemodynamic parameters and wall shear stress throughout the internal carotid artery, quantifies the degree of stenosis and flow field disturbance, assists in locating lesions, assesses the risk of plaque rupture, and promotes the understanding of the pathophysiological mechanism of internal carotid atherosclerosis.

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Abstract

A method and apparatus for measuring integrated computational fluid dynamics parameters of the internal carotid artery are disclosed. The method includes: acquiring raw centerline data; obtaining a dictionary of the correspondence between the ID and coordinates of each point on the centerline in response to a user instruction to perform preprocessing; calculating the distance from each point on the centerline to the inlet and the hemodynamic parameters of each point in response to a user instruction to perform distance calculation, and outputting a visualized image showing the change of hemodynamic parameters with distance to the inlet; acquiring a preset region based on the acquired first user input; and, in response to a user instruction to perform stenosis treatment, identifying multiple stenosis sites within the preset region, calculating the overall hemodynamic parameters of the multiple stenosis sites, the average pressure at the end point and the start point, and the pressure ratio, and outputting a visualized image showing the change of velocity and pressure at each stenosis site over time within a cardiac cycle. This application's solution is capable of measuring integrated computational fluid dynamics parameters of the internal carotid artery.
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