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A real-time tracking and quantitative analysis method based on liver contrast-enhanced ultrasound images

A technology of contrast-enhanced ultrasound and real-time tracking, applied in image analysis, image enhancement, image data processing, etc., can solve the problems of observation point drift and disappearance, and achieve good real-time tracking effect

Active Publication Date: 2019-11-19
SOUTHWEST JIAOTONG UNIV
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Problems solved by technology

[0007] In view of the deficiencies in the prior art, the present invention provides a method for tracking and quantitatively analyzing the region of interest in liver contrast images. Aiming at the problem that the observation point drifts or even disappears due to tissue deformation during the tracking of key regions in the contrast images, a deep learning model and traditional method are adopted. The method of combining algorithms tracks the region of interest, and then uses the interpolation method to accurately quantitatively analyze the time-intensity curve

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  • A real-time tracking and quantitative analysis method based on liver contrast-enhanced ultrasound images
  • A real-time tracking and quantitative analysis method based on liver contrast-enhanced ultrasound images
  • A real-time tracking and quantitative analysis method based on liver contrast-enhanced ultrasound images

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[0055] Below in conjunction with accompanying drawing, describe technical scheme of the present invention in detail:

[0056] Such as figure 1 Shown is the overall scheme flowchart of the present invention, mainly comprises following three steps:

[0057] Step 1. Use the global optical flow method and the particle filter method to establish a target search strategy and track and calculate candidate areas. The process is shown in the appendix figure 2 ;

[0058] Step 2. Use the deep neural network to extract the features of multiple candidate areas, obtain the tracking results, and determine the tracking area. See the attached image 3 ;

[0059]Step 3. According to the tracking results, quantify the radiography parameters of the observation point area, and fit a stable time-intensity curve. The process is shown in the attached Figure 4 .

[0060] Step 1. Establish a target search strategy

[0061] Using the global optical flow method and particle filter method, the tar...

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Abstract

The invention belongs to the technical fields of computer vision and digital image processing, and in particular relates to a real-time tracking and quantitative analysis method based on liver contrast-enhanced ultrasound images. The present invention mainly includes: (1) selecting a region of interest from an initial frame of a liver sequence image, and using a combination of optical flow method and particle filtering method to determine a candidate region; (2) using a deep neural network to extract features of candidate samples to obtain Tracking results; (3) Determine the accuracy of the current tracking results by similarity matching; (4) Quantify the contrast parameters of the observation point area, eliminate the fluctuation interference in the image, and use the cubic spline interpolation method to fit the time intensity curve, so that the The doctor's vision and differential diagnosis are more intuitive. Compared with the prior art, the present invention utilizes the periodic characteristics of tissue deformation, and has significant advantages in tracking effect and speed through the method of combining global and local regions.

Description

technical field [0001] The invention belongs to the technical fields of computer vision and digital image processing, and in particular relates to a real-time tracking and quantitative analysis method based on liver ultrasound contrast images. Background technique [0002] At present, contrast imaging has gradually become an important means of medical diagnosis. The tracking and quantitative analysis of observation points in the region of interest in the contrast image sequence can assist clinicians to make scientific judgments and decisions on liver diseases, save doctors' diagnosis time, and reduce the impact of subjective judgments. [0003] With the development of contrast imaging technology and tracking methods, the objective quantitative analysis of the region of interest has also gradually developed. In reality, the qualitative quantification of contrast parameters is to track and analyze the selected observation points of the region of interest. The time intensity cu...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/277G06T7/269G06N3/08G06K9/62
CPCG06N3/084G06T7/269G06T7/277G06T2207/30056G06F18/22G06F18/214G06F18/2411
Inventor 龚勋许新易心一罗俊
Owner SOUTHWEST JIAOTONG UNIV
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