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Spectrum blood flow detection method of color spectrogram based on ultrasonic Doppler

A blood flow detection and spectrogram technology, which is applied in the field of spectral blood flow detection of color spectrograms, can solve the problems of inability to mark and distinguish the blood vessel area, unfavorable for the auxiliary diagnosis of the exact disease, and unfavorable for the auxiliary diagnosis of the disease.

Inactive Publication Date: 2020-06-23
XIEHE HOSPITAL ATTACHED TO TONGJI MEDICAL COLLEGE HUAZHONG SCI & TECH UNIV
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AI Technical Summary

Problems solved by technology

In order to ensure the accuracy of ultrasonic Doppler inspection, the imaging parameters of the image need to be adjusted artificially and professionally during the entire inspection process, which puts forward high professional requirements for the user's professionalism, and the complete adjustment process steps Extremely complex, with high professional requirements for user concentration
This has resulted in the need to adjust the parameters of the ultrasonic Doppler system device every time the user performs the ultrasonic Doppler system detection process, and the judgment of the results during the ultrasonic examination process is mostly related to the doctor's skills and experience, reducing the System Ease of Use
[0003] The patent application document with the application number 201810005469.2 discloses a Doppler blood flow velocity imaging method and system based on ultrasound channel data, which can separately estimate the blood flow velocity through the channel data corresponding to different array elements, and then through the angle phase Alignment and superposition can improve the signal-to-noise ratio of the blood flow signal, thereby improving the accuracy of blood flow velocity estimation, but it cannot accurately mark and distinguish the blood vessel area, which is not conducive to the auxiliary diagnosis of the exact disease
[0004] The patent application document with the application number 201510670863.4 discloses a method for automatic optimization of ultrasound spectrum Doppler, which can adjust the angle, and at the same time can automatically and roughly identify the direction of blood flow, thereby reducing the cost of optimizing the adjustment parameters of ultrasound spectrum images time, reduce the doctor's operating burden, and improve work efficiency, but cannot accurately mark and distinguish the vascular area, which is not conducive to the auxiliary diagnosis of the exact disease

Method used

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  • Spectrum blood flow detection method of color spectrogram based on ultrasonic Doppler
  • Spectrum blood flow detection method of color spectrogram based on ultrasonic Doppler
  • Spectrum blood flow detection method of color spectrogram based on ultrasonic Doppler

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Embodiment Construction

[0052] like figure 1 As shown, a kind of spectral blood flow detection method based on the color spectrogram of ultrasonic Doppler provided by the present invention comprises:

[0053] Step 1. Firstly, the Doppler blood flow spectrogram is obtained by using ultrasonic Doppler imaging technology, and the Doppler blood flow spectrogram is preprocessed;

[0054] The preprocessing process of Doppler blood flow spectrogram includes:

[0055] Step a, performing binarization processing on the collected vein image,

[0056]

[0057]In the formula, I(x, y) is the gray value of the position (x, y), thresh is the preset threshold, and f(x, y) is the gray value of the position (x, y) of the vein image after binarization ;

[0058] Step b. Use the zero-order moment and the first-order moment to obtain the center of mass of the back of the hand area, where the zero-order moment M 00 The calculation method satisfies:

[0059]

[0060] In the formula, m and n are the number of rows...

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Abstract

The spectrum blood flow detection method of the color spectrogram based on ultrasonic Doppler comprises the following steps: firstly, obtaining a Doppler blood flow spectrogram by adopting an ultrasonic Doppler imaging technology, and measuring a blood flow speed maximum value and a blood flow speed minimum value in the Doppler blood flow spectrogram; carrying out edge extraction on the ultrasonicspectrogram to obtain a region of interest; performing feature extraction on the region of interest to obtain edge features and region features corresponding to the region of interest; constructing aradial basis function neural network model by taking the edge features and the region features as input layer vectors, and analyzing the input layer vector features in a neural network to obtain output quantities related to the blood vessel features; correcting the blood vessel characteristic related output quantity according to the blood flow speed maximum value and the blood flow speed minimumvalue to obtain blood flow speed output; the blood vessel area can be accurately marked and distinguished, the blood flow speed is corrected, and auxiliary diagnosis of the exact illness state is facilitated.

Description

technical field [0001] The invention relates to the field of medical ultrasonic imaging detection, in particular to a spectral blood flow detection method based on an ultrasonic Doppler color spectrogram. Background technique [0002] Ultrasound Doppler is the world's most advanced and accurate image inspection high-tech. The use of Ultrasound Doppler system devices can conduct precise medical examinations on patients in order to obtain accurate disease information. In order to ensure the accuracy of ultrasonic Doppler inspection, the imaging parameters of the image need to be adjusted artificially and professionally during the entire inspection process, which puts forward high professional requirements for the user's professionalism, and the complete adjustment process steps It is extremely complex and has high professional requirements for the user's concentration. This has resulted in the need to adjust the parameters of the ultrasonic Doppler system device every time th...

Claims

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Application Information

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IPC IPC(8): G06K9/32G06N3/04G06T5/40G06T7/11G06T7/13G06F17/14A61B8/06A61B8/08A61B8/00
CPCG06T7/13G06T7/11G06T5/40G06F17/147A61B8/06A61B8/0891A61B8/488A61B8/5207A61B8/5215G06V10/25G06N3/045
Inventor 叶霖韩斌陈学东杨新龙绍军
Owner XIEHE HOSPITAL ATTACHED TO TONGJI MEDICAL COLLEGE HUAZHONG SCI & TECH UNIV
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