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Blood flow velocity monitoring method based on micro blood flow imaging contrast algorithm

A technology of blood flow velocity and contrast, applied in blood flow measurement, diagnostic recording/measurement, medical science, etc. Ratio algorithm, inability to accurately express microvascular blood flow velocity, etc., to achieve improved effects, better imaging effects, and improved spatial resolution

Inactive Publication Date: 2019-10-08
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

[0003] At present, the blood flow laser speckle imaging algorithm is usually based on spatial or time convolution algorithm analysis, which is an all-directional peer algorithm. The particularity of blood flow imaging has never been considered, and it cannot accurately express the microvascular blood flow velocity.
There is also no dedicated Gaussian kernel-based anisotropic laser speckle micro-flow imaging contrast algorithm for monitoring blood flow velocity

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  • Blood flow velocity monitoring method based on micro blood flow imaging contrast algorithm
  • Blood flow velocity monitoring method based on micro blood flow imaging contrast algorithm
  • Blood flow velocity monitoring method based on micro blood flow imaging contrast algorithm

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Embodiment Construction

[0038] Such as figure 1 As shown, the original speckle image is obtained first, and then the linear operator is used to calculate the traditional temporal contrast K value and obtain the direction θ of the smallest spatial contrast K value i ; Then calculate the rotation matrix of the Gaussian template according to the direction, and obtain the corresponding Gaussian convolution template and Gaussian weighted kernel; Convolve with the original image to obtain the anisotropic K value, extract the microvascular area, and use the direction specificity of cerebral blood flow to obtain the microvessel Contrast value for blood flow.

[0039] Use the time convolution method to calculate the K value, where 30 frames of pictures can be selected, and the calculation method of the K value is as follows:

[0040]

[0041] In the above formula, σ is the standard deviation of the original picture, is the average value of the original image.

[0042] Calculate K values ​​...

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Abstract

The invention discloses a blood flow velocity monitoring method based on a micro blood flow imaging contrast algorithm. The method comprises the following steps: (1) acquiring an original laser speckle image; (2) calculating a traditional time contrast K value by using a linear operator for the original laser speckle image and obtaining a direction of a minimum spatial contrast K value; (3) obtaining a Gaussian template rotation matrix according to the direction to obtain a corresponding Gaussian convolution template; and (4) convolving with the original laser speckle image to obtain an anisotropic K value, extracting a microvascular region, and using the direction specificity of the cerebral blood flow to obtain a microvascular flow rate map. The blood flow velocity monitoring method candisplay better blood flow information for the microvessel when the laser power is not strong; when the exposure time, gain, and the acquisition frame and frequency are same, the cerebral blood flow velocity can be presented when the blood vessel information is kept clear, and the microvascular blood flow velocity can be more accurately expressed.

Description

technical field [0001] The invention relates to a blood flow velocity monitoring method, in particular to a blood flow velocity monitoring method based on micro-blood flow imaging contrast algorithm. Background technique [0002] Blood flow velocity is one of the very important functional metabolic parameters in the process of life activities. Dynamically monitoring the temporal and spatial changes of blood flow velocity is of great significance for the study of physiological changes in biological tissues, functional activities and drug efficacy evaluation. [0003] The current laser speckle imaging algorithms for blood flow are usually based on spatial or temporal convolution algorithm analysis, which are all parallel algorithms. The particularity of blood flow imaging has never been considered, and the microvascular blood flow velocity cannot be accurately expressed. There is also no special Gaussian kernel-based anisotropic laser speckle micro-flow imaging contrast algor...

Claims

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Application Information

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IPC IPC(8): A61B5/0285A61B5/026A61B5/00
CPCA61B5/0261A61B5/0285A61B5/72
Inventor 李韪韬张雅檬晋晓飞钱志余刘洋洋赵月梅王康张欢
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS