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Method for correcting velocity field for particle image velocity measurement of ultrasonic cardiogram

A particle image velocimetry, echocardiography technology, applied in image enhancement, image analysis, image data processing and other directions, can solve the problem of anisotropic diffusion noise reduction algorithm difficulty, loss of details, blurred images and other problems

Active Publication Date: 2011-12-21
HARBIN INST OF TECH
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] The present invention aims to solve the problem that the spatial domain filtering method will cause image blur and detail loss in the existing noise suppression method for ultrasonic medical images, the wavelet transform method has poor effect on the multiplicative noise of the ultrasonic image, and the algorithm difficulty of the anisotropic diffusion denoising method However, a method for revising the velocity field of particle image velocimetry in echocardiography is provided

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  • Method for correcting velocity field for particle image velocity measurement of ultrasonic cardiogram
  • Method for correcting velocity field for particle image velocity measurement of ultrasonic cardiogram
  • Method for correcting velocity field for particle image velocity measurement of ultrasonic cardiogram

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specific Embodiment approach 1

[0018] Specific implementation mode one: (please refer to the attached figure 1 ) A method for modifying the velocity field of an echocardiographic particle image velocimetry according to the present embodiment is performed according to the following steps:

[0019] Step 1: Use an ultrasonic instrument to detect the echocardiogram, and then read in the initial velocity field of the echocardiogram at time t measured by Particle Image Velocimetry The initial velocity field u 1 Consists of m×n grids, each grid has a velocity vector Among them, 1≤i≤m, 1≤j≤n; use k to represent the number of cycles, K is the maximum value of the number of cycles, and K is 3 to 5; initialize k=1;

[0020] Step 2: Calculate the initial velocity field Each velocity vector of 2≤i≤m-1 and 2≤j≤n-1 in The corresponding covariance matrix S c ,in, S c = ψ xx ...

specific Embodiment approach 2

[0030] Embodiment 2: This embodiment differs from Embodiment 1 in that the sorting rule of velocity vectors in the median filtering in step 4 is edge median method or vector median method; the others are the same as Embodiment 1.

[0031]In this embodiment, the edge median method is a new vector obtained by taking the median value of each component after comparing and sorting each component of the velocity vector; and the vector median method is to calculate the Euclidean formula of each vector in the vector and its 3×3 neighborhood. Distance, sorted according to the size of the Euclidean distance. The purpose of performing median filtering is to reduce the local error caused by the anisotropic diffusion of the velocity vector in step 3.

specific Embodiment approach 3

[0032] Specific implementation mode three: the difference between this implementation mode and specific implementation mode one or two is: the method for shifting flow calculation in step five is as follows:

[0033] The diagram of the displacement calculation is shown in figure 2 As shown, the velocity vector of grid a at the current moment is Calculate the position of the velocity vector before the time Δt as point b, and use the bilinear interpolation method to calculate the value of the velocity vector at point b then Assigned to the velocity vector in the grid of a, namely

[0034] The method of calculating the value of the velocity vector at point b by bilinear interpolation is as follows:

[0035] Bilinear interpolation diagram as image 3 As shown, the four velocity vectors u around point b A , u B , u C and u D The points where they are connected form a square, and the four vertices are represented by A, B, C and D respectively, where f x =AP / AB,f y =F...

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Abstract

The invention discloses a method for correcting a velocity field for the particle image velocity measurement of an ultrasonic cardiogram, relates to the method for correcting the velocity field and solves the technical problems of image fuzziness and detail loss caused by a space domain filtering method in the conventional method for restraining a noise of an ultrasonic medical image, poor multiplicative noise effect, on the ultrasonic image, of a wavelet transformation method, and high difficulty in an algorithm of an anisotropic diffusion noise-reducing method. The method comprises the following steps of: 1, reading an initial velocity field of the ultrasonic cardiogram at a t moment; 2, calculating a covariance matrix which corresponds to each velocity vector; 3, anisotropically diffusing each velocity vector; 4, performing median filtering on each velocity vector; 5, performing advection calculation on each velocity vector; 6, judging whether cycle is the last cycle, if so, executing the step 9, otherwise, executing the step 7; 7, calculating the initial velocity field of the next cycle; 8, adding 1 to the number of times of cycle, and executing the step 2; and 9, ending. By the method, details of the velocity field can be kept, and various kinds of particle image velocity measurement fields can be processed.

Description

technical field [0001] The invention relates to a velocity field correction method. Background technique [0002] Echocardiography particle image velocimetry is an emerging medical diagnostic method, which is applied to the imaging observation of the blood flow field in the cardiac cavity. Due to the physical reasons of ultrasonic imaging, the speckle noise formed by the superposition of coherent waves seriously affects the imaging quality, especially makes the extraction of the velocity field very difficult, reduces the accuracy of quantitative analysis of the velocity field of blood flow, and limits the application of particle image velocimetry. Further applications of echocardiography in clinical diagnosis. Correcting the velocity field of particle image velocimetry in echocardiography can provide more favorable conditions for subsequent processing such as quantitative analysis and improve the accuracy of diagnosis. Therefore, it is of great significance to study the co...

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Application Information

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IPC IPC(8): G06T5/00G06T7/20
Inventor 谷延锋崔兆宇于潇王岚峰修春红
Owner HARBIN INST OF TECH