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Method and system for risk early warning of cerebrovascular diseases based on computational fluid mechanics

A technology of computational fluid dynamics and cerebrovascular diseases, applied in the field of computational analysis of hemodynamics, can solve the problem of lack of quantitative prediction data and other problems

Inactive Publication Date: 2019-12-17
张浩
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Problems solved by technology

[0004] Existing medical imaging techniques mainly include PET imaging, CT imaging, MRI imaging, ultrasound imaging, etc. Although they can provide some hemodynamic parameters (such as CBF and CVR) reflecting the blood supply to the brain, more detailed information ( Such as blood flow, pressure and other information in each blood vessel) is difficult to measure directly
Moreover, the doctor's judgment on the effect of the operation is more dependent on personal experience, and there is a lack of quantitative prediction data for reference.

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  • Method and system for risk early warning of cerebrovascular diseases based on computational fluid mechanics
  • Method and system for risk early warning of cerebrovascular diseases based on computational fluid mechanics
  • Method and system for risk early warning of cerebrovascular diseases based on computational fluid mechanics

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Embodiment 1

[0016] figure 1 It is a flow chart of a cerebrovascular disease risk early warning method provided in Embodiment 1 of the present invention. This embodiment is applicable to the situation of analyzing and evaluating the parameters related to hemodynamics of blood vessels. see figure 1 , the early warning method provided in this embodiment includes: establishing a geometric model of the cerebrovascular system based on computed tomography data, simulating surgery by modifying the vascular geometric model, and inputting the modified geometric models of the cerebrovascular system into the computational fluid dynamics module for scientific analysis. calculation, and finally post-process the calculation results.

[0017] Step 1, refer to figure 2 Describe in detail the establishment of the geometric model of the cerebrovascular system. First, the 3D model of the cerebrovascular system is semi-automatically extracted using the region growing algorithm. Among them, the three-dim...

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Abstract

The invention provides a system for simulating cerebral vessels by applying computational fluid mechanics, and brings forward a method for early warning of cerebrovascular diseases on the basis of thesystem. The method comprises the following steps: (1) reconstructing a geometric model of a cerebrovascular system based on medical tomography image data; (2) importing the geometric model of the cerebrovascular system, pressure, heart rate and other information into a computational fluid mechanics module for scientific calculation; (3) modifying the geometric model of the cerebrovascular system,and simulating operations such as carotid artery bypass grafting; (4) re-importing the modified geometric model into the computational fluid mechanics module for scientific calculation; and (5) processing and comparing results of the two scientific calculations, and predicting the surgical effect and the risk of possible cerebrovascular diseases. By the computational fluid mechanics model for analog computation of the cerebrovascular system before and after an operation, the occurrence risk of cerebrovascular diseases can be predicted in advance.

Description

technical field [0001] The invention relates to the field of computational analysis of hemodynamics, in particular to a system and method for modeling of the cerebrovascular system and applying computational fluid dynamics for scientific calculation. Background technique [0002] Cerebrovascular disease (21.7%) was the third leading cause of death after cancer (25.0%) and cardiovascular disease (21.9%). According to the 2016 China Statistical Yearbook, about 14 people per 10,000 people die of cerebrovascular diseases every year. Medical practice shows that the main reason for the high mortality rate of cerebrovascular diseases is that the onset of cerebrovascular diseases is usually rapid, and it is difficult to formulate an efficient and unified treatment plan for all patients in advance. Even if the disease is controlled in time after the onset, it will often lead to serious sequelae. For example, about 3 / 4 of the survivors will leave symptoms such as hemiplegia and lose ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B34/10G16H50/30
CPCA61B34/10A61B2034/105G16H50/30
Inventor 张浩
Owner 张浩
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