In-vivo fluid flow analysis method and system, terminal and storage medium

Abstract

The invention relates to an in-vivo fluid flow analysis method and a system, a terminal and a storage medium. The method comprises the following steps: acquiring fluid sensitive images of at least twoparts to be inspected at different time; performing motion estimation on the fluid sensitive image through a motion estimation algorithm to obtain a motion field of the fluid at each position in theto-be-inspected part; wherein the motion field comprises a speed vector; and based on the velocity vector in the motion field, calculating a measurement value of the nonlinear fluid velocity of at least one position in the to-be-inspected part by adopting a nonlinear velocity calculation method to obtain a fluid flow analysis result of the to-be-inspected part. According to the embodiment of the invention, the fluid flow of different parts and different species in the whole body can be quickly and accurately analyzed, and the computer processing overhead is reduced.

Description

technical field [0001] The present application belongs to the technical field of medical image processing, and in particular relates to a method, system, terminal and storage medium for fluid flow analysis in the body. Background technique [0002] To measure fluid flow, the current method used to measure blood flow within the heart is cardiac elastography. The method works by taking raw data, such as tissue displacement, from an echocardiogram (ultrasound of the heart) to measure the strain on the heart during myocardial contraction and relaxation. Alternatively, two-dimensional slices of the heart can be imaged using standard ultrasound scans, and their Doppler flow data can be used to visualize the flow of blood in cardiac structures, e.g., pulsed or continuous wave Doppler ultrasound can be used to measure flow in the heart in vivo. Blood flow, allowing assessment of heart valve area and function, any abnormal communication between the left and right sides of the heart,...

AI Technical Summary

Problems solved by technology

However, to achieve these speeds, the MRI machine needs to be tuned beyond its standard scan mode, requiring significant additional time spent on top of standard MRI procedures

In addition, phase-contrast MRI is also susceptible to errors from magnetic susceptibility gradients and higher-order motions, has a small dynamic range, and requires significant computer processing overhead

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