阅读说明：本技术 一种超声弹性成像方法、图像数据的筛选方法及装置 (Ultrasonic elastography method, and image data screening method and device ) 是由 和晓念 刘倩 凌锋 于 2020-03-16 设计创作，主要内容包括：本发明提供了一种超声弹性成像方法、图像数据的筛选方法及装置,筛选方法包括：获取压缩前图像数据和压缩后图像数据；根据压缩前图像数据和压缩后图像数据得到位移数据矩阵；从位移数据矩阵中提取位移曲线沿深度方向的拟合参数；根据拟合参数判断压缩前图像数据和压缩后图像数据是否适合做弹性成像处理。本发明通过对拟合参数进行分析,判断信号质量和受力大小是否符合成像要求,水平方向不同位置的受力是否均衡,从而能够以少量的计算量在弹性成像计算之前就实现弹性成像质量的预判,根据预判结果实现对不理想数据的筛选和剔除,减少了对操作手法的依赖,保证了高质量的弹性成像输出,提高弹性成像出图率。(The invention provides an ultrasonic elastography method, a screening method and a screening device of image data, wherein the screening method comprises the following steps: acquiring image data before compression and image data after compression; obtaining a displacement data matrix according to the image data before compression and the image data after compression; extracting fitting parameters of a displacement curve along the depth direction from the displacement data matrix; and judging whether the image data before compression and the image data after compression are suitable for elastic imaging processing or not according to the fitting parameters. The invention analyzes the fitting parameters to judge whether the signal quality and the stress magnitude meet the imaging requirements or not and whether the stress at different positions in the horizontal direction is balanced or not, thereby realizing the prejudgment of the elastography quality before the elastography calculation with a small amount of calculation, realizing the screening and the elimination of unsatisfactory data according to the prejudgment result, reducing the dependence on an operation method, ensuring the high-quality elastography output and improving the elastography image rate.)

1. A method for screening image data in ultrasonic elastography is characterized by comprising the following steps:

acquiring image data before compression and image data after compression;

obtaining a displacement data matrix according to the image data before compression and the image data after compression;

extracting fitting parameters of a displacement curve along the depth direction from the displacement data matrix;

and judging whether the image data before compression and the image data after compression are suitable for elastic imaging processing or not according to the fitting parameters.

2. The screening method according to claim 1, wherein: the acquiring of the pre-compression image data and the post-compression image data includes:

reading two frames of image data as image data before compression and image data after compression respectively;

and extracting the image data before compression and the image data after compression at equal intervals to obtain a data matrix.

3. The screening method of claim 1, wherein obtaining a displacement data matrix from the pre-compression image data and the post-compression image data comprises:

carrying out conjugate multiplication on two frames of image data to obtain a complex matrix containing position information;

and extracting the phase information of the complex matrix to obtain the displacement data matrix.

4. The screening method of claim 1, wherein the fitting parameters comprise: fitting slope and fitting degree;

the extracting of the fitting parameters of the displacement curve along the depth direction from the displacement data matrix includes:

and performing linear fitting on each column of displacement curve in the displacement data matrix to obtain the fitting slope and the fitting degree.

5. The screening method of claim 1, wherein the fitting parameters comprise: fitting slope and fitting degree;

the judging whether the image data before compression and the image data after compression are suitable for elastic imaging processing according to the fitting parameters comprises the following steps:

obtaining the deviation degree of the average value of the fitting slope and the ideal slope, and screening a first fitting slope average value of which the deviation degree is in a preset value range;

obtaining the variance of the fitting slope, and screening a first fitting slope of which the variance is smaller than a preset variance threshold;

obtaining a fitting degree mean value;

under the condition that the fitting degree mean value is larger than a first set value, calculating a final pre-judgment score according to the first fitting slope mean value and the first fitting slope;

and judging that the image data before compression and the image data after compression corresponding to the imaging quality with the final pre-judgment score reaching the expected score are suitable for elastic imaging processing.

6. A method of ultrasound elastography, comprising:

acquiring multi-frame image data;

judging whether the multi-frame image data meets the imaging requirement according to the screening method of any one of claims 1 to 5;

and performing elastic calculation on the image data meeting the imaging requirement and outputting the image data.

7. A multi-frame image data screening method is characterized by comprising the following steps:

acquiring multi-frame image data and pairing the multi-frame image data;

calculating a prejudgment score of paired two frames of image data according to the screening method of any one of claims 1 to 5;

selecting two frames of image data with the maximum pre-judgment score;

and processing the selected two frames of image data and outputting an elastic graph.

8. An apparatus for screening image data in ultrasound elastography, comprising:

the first acquisition module is used for acquiring image data before compression and image data after compression;

the second acquisition module is used for acquiring a displacement data matrix according to the image data before compression and the image data after compression;

the third acquisition module is used for extracting fitting parameters of the displacement curve along the depth direction from the displacement data matrix;

and the first judging module is used for judging whether the image data before compression and the image data after compression are suitable for elastic imaging processing according to the fitting parameters.

9. An ultrasound device, comprising:

a memory and a processor, the memory and the processor are communicatively connected with each other, the memory stores computer instructions, the processor executes the computer instructions to execute the method for screening image data in ultrasound elastography according to any one of claims 1-5 and/or the method for ultrasound elastography according to claim 6 and/or the method for screening multi-frame image data according to claim 7.

10. A computer-readable storage medium storing computer instructions for causing a computer to execute the method for screening image data in ultrasound elastography according to any one of claims 1-5 and/or the method for ultrasound elastography according to claim 6 and/or the method for multi-frame image data screening according to claim 7.

Technical Field

The invention relates to the technical field of ultrasonic imaging, in particular to an ultrasonic elastography method, and a method and a device for screening image data.

Background

Push Elastography, also known as quasistatic Elastography (Quasi-static Elastography), can qualitatively distinguish tissues of different stiffness. The method mainly applies pressure to target tissues through the handheld ultrasonic ring energy device, and tissues with different hardness can deform differently under the same pressure condition. By analyzing the extracted data of the two frames before and after pressing, the difference information of the different deformations can be extracted, and the difference is generally characterized by different strain values. And performing pseudo-color mapping on different strain values and imaging to obtain the elastic imaging.

The elastic image can intuitively distinguish tissues with different hardness, under the same applied pressure, the smaller the strain value is, the harder the tissue is, and the larger the strain value is, the softer the tissue is. The method is simple and easy to implement, but has certain limitations: the pressing force and frequency are required to be certain, and the pressing force cannot be too large or too small.

In view of this, the ultrasound elastography method adopted in the prior art calculates the strain information of consecutive multiple frames, and also calculates quality parameters reflecting the quality of each frame of image, and determines whether to output the current frame of elastic image according to the quality parameters, but the quality parameters are set to ensure that the quality of the displayed image meets the preset requirement, so as to avoid the situation that the color change between the obtained consecutive elastic images is large due to the large difference of stress. But it is still based on the consideration of the magnitude of the pressing force, and the horizontal pressing force balance in the actual operation process also has an influence on the elastic result. The quality parameter does not reflect the balance of the pressure in the horizontal direction. Therefore, it still has a certain limitation on the screening of frame frequency data. In addition, the calculation of the quality parameters is complex and the calculation amount is large.

Disclosure of Invention

In view of this, embodiments of the present invention provide an ultrasound elastography method, a method and an apparatus for screening image data, so as to solve the problems that the screening of frame rate data in the prior art still has certain limitations and a large amount of computation.

The invention provides a method for screening image data in ultrasonic elastography, which comprises the following steps:

acquiring image data before compression and image data after compression;

obtaining a displacement data matrix according to the image data before compression and the image data after compression;

extracting fitting parameters of a displacement curve along the depth direction from the displacement data matrix;

and judging whether the image data before compression and the image data after compression are suitable for elastic imaging processing or not according to the fitting parameters.

Optionally, the acquiring the pre-compression image data and the post-compression image data includes:

reading two frames of image data in the cache as image data before compression and image data after compression respectively;

and extracting the image data before compression and the image data after compression at equal intervals to obtain a data matrix.

Optionally, obtaining a displacement data matrix according to the pre-compression image data and the post-compression image data includes:

carrying out conjugate multiplication on two frames of image data to obtain a complex matrix containing position information;

and extracting the phase information of the complex matrix to obtain the displacement data matrix.

Optionally, the fitting parameters include: fitting slope and fitting degree;

the extracting of the fitting parameters of the displacement curve along the depth direction from the displacement data matrix includes:

and performing linear fitting on each column of displacement curve in the displacement data matrix to obtain fitting parameters.

Optionally, the fitting parameters include: fitting slope and fitting degree;

the judging whether the image data before compression and the image data after compression are suitable for elastic imaging processing according to the fitting slope and the fitting degree comprises the following steps:

obtaining the deviation degree of the average value of the fitting slope and the ideal slope, and screening a first fitting slope average value of which the deviation degree is in a preset value range;

obtaining the variance of the fitting slope, and screening a first fitting slope of which the variance is smaller than a preset variance threshold;

obtaining a fitting degree mean value;

under the condition that the fitting degree mean value is larger than a first set value, calculating a final pre-judgment score according to the first fitting slope mean value and the first fitting slope;

and judging that the image data before compression and the image data after compression corresponding to the imaging quality with the final pre-judgment score reaching the expected score are suitable for elastic imaging processing.

The invention also provides an ultrasonic elastography method, which comprises the following steps:

acquiring multi-frame image data;

judging whether the multi-frame image data meet the imaging requirements or not;

and performing elasticity calculation on the image data conforming to the elasticity imaging and outputting the image data.

The invention also provides a multi-frame image data screening method, which is characterized by comprising the following steps:

acquiring multi-frame image data and pairing the multi-frame image data;

calculating the prejudgment score of the paired two frames of image data according to the screening method;

selecting two frames of image data with the maximum pre-judgment score;

and processing the selected two frames of image data and outputting an elastic graph.

The invention also provides a screening device of image data in ultrasonic elastography, which comprises:

the first acquisition module is used for acquiring image data before compression and image data after compression;

the second acquisition module is used for acquiring a displacement data matrix according to the image data before compression and the image data after compression;

the third acquisition module is used for extracting fitting parameters of the displacement curve along the depth direction from the displacement data matrix;

and the first judging module is used for judging whether the image data before compression and the image data after compression are suitable for elastic imaging processing according to the fitting parameters.

The invention also provides an ultrasonic elastography device, comprising:

the fourth acquisition module is used for acquiring multi-frame image data;

the second judgment module is used for judging whether the multi-frame image data meets the imaging requirement or not;

and the calculation output module is used for performing elastic calculation on the image data conforming to the elastic imaging and outputting the image data.

The present invention also provides an ultrasound device comprising:

the device comprises a memory and a processor, wherein the memory and the processor are mutually connected in a communication mode, computer instructions are stored in the memory, and the processor executes the computer instructions so as to execute the screening method and/or the ultrasonic elastography method and/or the multi-frame image data screening method.

The invention also provides a computer-readable storage medium storing computer instructions for causing the computer to perform the screening method and/or the ultrasound elastography method and/or the multi-frame image data screening method as described above.

The technical scheme of the invention has the following advantages:

according to the method for screening the image data in the ultrasonic elastography, a group of fitting parameters are obtained by respectively performing linear fitting on displacement curves of different horizontal positions along the depth direction. The degree of fitting reflects the quality of the extracted vibration displacement signal, and the higher the degree of fitting is, the better the extracted displacement signal is; the fitting slope obtained by fitting reflects the condition of applying pressure to the tissue, and information that can reflect both the degree of compression and the compression balance can be extracted from the fitting slope. Therefore, through the analysis of the fitting parameters, the judgment of the signal quality and the pressing stress can be realized, the pre-judgment of the elastography quality can be realized before the elastography calculation with a small amount of calculation, the screening and the elimination of unsatisfactory data are realized according to the pre-judgment result, the dependence on an operation method is reduced, the high-quality elastography output is ensured, and the elastography image rate is improved.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.

Fig. 1 is a flowchart illustrating a method for screening image data in ultrasound elastography according to embodiment 1 of the present invention;

FIG. 2 shows a block diagram of a typical ultrasound imaging system;

FIG. 3 is a diagram illustrating a linear fit along the depth direction for a certain column of displacement data in the present invention;

FIG. 4 is a schematic diagram illustrating data extraction in the present invention;

FIG. 5 is a flow chart of a method for ultrasound elastography provided in embodiment 2 of the present invention;

fig. 6 is a flowchart illustrating a multi-frame image data screening method according to embodiment 3 of the present invention;

FIG. 7 shows a schematic diagram of a specific embodiment provided in example 3 of the present invention;

fig. 8 shows a hardware configuration diagram of an ultrasound apparatus according to an embodiment of the present invention.

Detailed Description

The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

Ultrasound elastography can qualitatively distinguish tissues with different hardness. The method mainly applies pressure to target tissues through the handheld ultrasonic transducer, tissues with different hardness can deform differently under the same pressure condition, and by analyzing the extracted two frames of data before and after pressing, difference information of the different deformations can be extracted, and the difference is generally represented by different strain values. And performing pseudo-color mapping on different strain values and imaging to obtain the elastic imaging.

The ultrasonic elastography is excessively dependent on an operation method, generally, certain requirements are required on the pressing force and frequency, and the pressing force cannot be too large or too small. In addition, the effective elastic qualitative analysis can be realized only under the condition of equal stress of the push type elastic imaging. The horizontal pressure imbalance during actual operation also affects the elasticity result.

In view of this, the embodiment of the invention provides an ultrasonic elastography method, a screening method of image data and a device thereof.

It should be noted that A, B, M, N, P and Q are positive integers.

Example 1

The embodiment of the invention provides a screening method of image data in ultrasonic elastography, as shown in figure 1, the screening method mainly comprises the following steps:

step S1: acquiring image data before compression and image data after compression;

fig. 2 is a block diagram of a typical ultrasound imaging system. The system shown in fig. 2 is composed of a main controller, an ultrasonic transducer, a beam synthesizer, an image processor, image post-processing and a display. The working principle of ultrasonic transducers (ultrasonic probes) is generally the same, i.e. piezoelectric ceramics resonating at ultrasonic frequencies, where the piezoelectric effect of the material converts an electrical signal into mechanical vibrations. The sound wave can be radiated into the medium according to the requirement, and the external sound wave can be received and converted into an electric signal, namely a transmitter and a receiver.

In this embodiment, under the control of the main controller, the ultrasonic probe emits an ultrasonic wave of a certain frequency, receives a sound wave signal reflected by a tissue after a certain time delay, forms a scanning line through focusing delay and weighting summation, and obtains an envelope signal of a scanning echo through a series of digital signal processing such as filtering and detection to form image data. The ultrasonic echo is processed by a beam forming link to obtain a radio frequency signal, and then processed by quadrature demodulation to obtain a quadrature-demodulated baseband signal, wherein the baseband signal comprises an IQ signal containing phase information. It is also possible to up-sample the RF signal after beamforming, increase the sampling rate of the RF signal, and then down-sample after quadrature demodulation. The displacement detection accuracy can be increased by up-sampling.

A plurality of frames of image data may be acquired in the above process. And storing the multi-frame image data in a cache, and acquiring the two frames of image data, namely reading the two frames of image data in the cache to respectively serve as image data before pressing and image data after pressing.

The manner in which image data is generated is described above with only a typical ultrasound imaging system, but is clearly not limited to the above.

Step S2: obtaining a displacement data matrix according to the image data before compression and the image data after compression;

the image data processing process is represented by an image matrix. The image matrix comprises displacement signals and a displacement data matrix Disp_MxNIt is a data matrix that can be used to represent the displacement signal of the image data and can be obtained by a number of different algorithms.

Step S3: extracting fitting parameters of a displacement curve along the depth direction from the displacement data matrix;

applying a pressing force to the tissue causes the tissue to deform, i.e., a relative displacement change amount is generated between the pre-compression image data and the post-compression image data, and the displacement change amount forms a curve that monotonically increases in the depth direction, i.e., a displacement curve. By disp_nShowing displacement curves for n different positions in the horizontal direction.

In the depth direction to disp_nA linear fit is performed.

[k_n,R_n ²]＝linear_fit(disp_n)

The fitting parameters described in the embodiments of the present invention mainly include: the fit slope and the degree of fit, denoted by k: k ═ k₁,k₂,k₃...,k_n]. With R²The degree of fitting: r²＝[R₁ ²,R₁ ²,R₁ ²...,R_n ²]. Linear _ fit is a linear fitting operation by which the slope k can be obtained_nDegree of sum fitting R_n ². As shown in fig. 3, it shows a schematic diagram of linear fitting along the depth direction to a certain column of displacement data in the present embodiment.

Step S4: and judging whether the image data before compression and the image data after compression are suitable for elastic imaging processing or not according to the fitting parameters.

Degree of fitting R²The magnitude reflects the quality of the extracted vibration displacement signal, and a higher fitness indicates a better extracted displacement signal.

The fitting slope k obtained by fitting reflects the state of applying pressure to the tissue, and information that can reflect both the degree of pressure and the balance of pressure can be extracted from the fitting slope. Specifically, the slope of the fit resulting from the fitting may reflect the magnitude of the pressure applied to the tissue. The larger the pressure, the larger the displacement change, and the relatively larger the resulting fitting slope. In order to obtain the pressing stress conditions at different positions in the horizontal direction, the displacement data matrix Disp needs to be aligned_MxNEach column of (a) is fitted linearly. By analysing the displacement data matrix Disp_MxNThe fitting slope of each column in (1) can reflect whether the horizontal pressure degrees are balanced or not.

In this embodiment, the fitting parameters are analyzed, for example, whether the signal quality meets the imaging requirement, whether the force magnitude meets the imaging requirement, whether the forces at different positions in the horizontal direction are balanced, and whether the requirements of elastic imaging are met are determined comprehensively by determining whether the fitting parameters fall within an expected range, whether the fitting parameters are greater than or less than a preset value, and the like. Therefore, the method can realize the prejudgment of the elastography quality before the elastography calculation with a small amount of calculation, realize the screening and the elimination of unsatisfactory data according to the prejudgment result, reduce the dependence on an operation method, ensure the high-quality elastography output and improve the elastography image rate.

Optionally, in some embodiments of the invention, in order to reduce the amount of computation, a fast evaluation is implemented. Data extraction may be performed separately from the two frames of image data, the extracted data being capable of reflecting the overall information.

Specifically, as shown in fig. 4, the image data before pressing and the image data after pressing are both data of P rows and Q columns, and the data is extracted by extracting N columns from the Q columns, where N < Q, and N columns are extracted from the Q columns at equal intervals. The extraction of M rows of data from P rows of data at equal intervals may be continued in the depth direction for the extracted N columns of data, where M < ═ P.

The method has the advantages that the data can be extracted at equal intervals, the calculated amount of the data can be reduced, information capable of reflecting the pressure degree of the whole frame of image data can be reserved, the elastic quality can be pre-judged before the elastic imaging calculation through a small amount of calculated amount, screening and removing of unsatisfactory data are achieved according to the pre-judgment result, dependence on an operation method is reduced, high-quality elastic imaging output is guaranteed, and the elastic imaging rate is improved.

After the data extraction is completed, 2 data matrixes with M rows and N columns can be obtained.

Performing fast displacement estimation on the extracted two-frame data matrix to obtain 1 displacement data matrix with M rows and N columns, and using Disp_MxNAnd (4) showing.

Optionally, in some embodiments of the invention, the displacement data matrix Disp_MxNObtained in the following manner.

One of the two frames of image data is used as image data before pressing, and Z is used₁＝I₁+iQ₁Indicating that another frame is used as the pre-compression image data, using Z₂＝I₂+iQ₂And (4) showing. Firstly, the conjugate multiplication operation is carried out on the two frames of image data:

Z_MxN＝Z₁*conj(Z₂)

wherein conj is a conjugation-taking operation, Z_MxNThe complex matrix is M rows and N columns and comprises phase information related to the displacement information. By extracting the phase information, the displacement information can be quickly calculated, and the process can be expressed as:

wherein, Phase (Z)_MxN) Is to the complex matrix Z_MxNExtracting phase information, wherein c is sound velocity 1540 m/s; f. of₀Is the transmit ultrasound center frequency.

Optionally, in some embodiments of the present invention, in order to reflect the average degree of pressing of the whole image, the fitting slope obtained by fitting the displacement curve is averaged in the present invention, so as to obtain an overall average slope, and the average slope may reflect the average degree of pressing. In order to reflect whether the stress is balanced according to the pressure degree in the horizontal direction, the variance can be calculated by adopting a fitting slope obtained by fitting displacement at different horizontal positions. The larger the variance of the fit slope, the more unbalanced the horizontal stress. And judging whether the horizontal pressing force is balanced or not through the gradient variance.

Optionally, in some embodiments of the present invention, to facilitate analysis of the calculated fitting parameters, the parameters are typically combined to obtain a pre-determination score that can be used to evaluate the quality of the pre-determination elastography.

Score of the slope, i.e. the first Score value, is represented by Score _ k. In elastography, the pressing force can not be too large or too small, and the average value k of the slope is required_meanShould also be within a reasonable interval. If the maximum slope preset by the system is k _ max and the minimum slope is k _ min, k should satisfy: k _ max>＝k_mean>K _ min; score _ k is 0 when k is outside the range; when within this range, willThe normalization processing comprises the following steps:

wherein, k _ best is a preset optimal slope and is a value between the maximum slope and the minimum slope; abs is an absolute value operation; max is the operation of taking the maximum value, and the processing of the denominator part is used for realizing normalization processing; the closer the resulting average slope is to the ideal slope k _ best, the better the compression effect, and the higher the Score _ k. The slope Score Score _ k is a value between 0 and 1, and can be converted to a percentile representation according to calculation requirements.

Score _ std _ k is used to characterize the Score of the variance of the fitting slope, i.e. the second Score value, and the larger the variance of the fitting slope, the more unbalanced the stress degree in the horizontal direction is, to a certain extent. And judging whether the horizontal pressing force is balanced or not through the fitting slope variance. Obviously, the variance of the fitted slope should also be within a suitable interval. When the variance std (k) of the fitting slope is greater than std _ k _ min, let Score _ std _ k be 0, and when the condition is satisfied, perform normalization processing, that is:

wherein std _ k _ min is a threshold value preset by the system; std is a variance operation on a set of slopes. The range of values is [ 01 ]. The higher the Score _ std _ k value, the more uniform the horizontal direction by pressure.

Three parameters were combined: the mean of the fit slopes, the variance of the fit slopes, and the degree of fit may give a comprehensive look-ahead score. Under the condition that the fitting degree mean value is larger than the first set value, namely under the condition that the displacement signal quality meets the requirement, a comprehensive prejudgment Score can be given by comprehensively considering the Score _ k and the Score _ std _ k, and if the final prejudgment Score is represented by Score _ final, the method comprises the following steps:

Score_final＝Score_k*p+Score_std_k*(1-p)

wherein p is a weighting coefficient preset by the system.

The size of the final prejudgment Score _ final can judge whether to utilize the two frames of data to calculate the subsequent elastography strain value. If the final prejudged Score _ final reaches the expected Score, the two frames of data are subjected to elastography. And if the preset fraction is not reached, eliminating the two frames of data, not performing elastic calculation processing and keeping the elastic image output of the previous frame. And accumulating the times of continuous unsatisfied conditions, when the times continuously reach a certain set value, outputting the elastic imaging, giving a warning or a prompt to remind an operator of improper operation.

Example 2

The embodiment of the invention also provides an ultrasonic elastography method based on the screening method, and as can be seen from fig. 5, the method mainly comprises the following steps:

step S10: acquiring multi-frame image data;

the image data can be obtained as described in step S1 in embodiment 1, and details are not repeated here.

Step S20: judging whether the multi-frame image data meet the imaging requirements or not;

this determination is achieved by the contents described in embodiment 1, and is not described in detail.

Step S30: and performing elasticity calculation on the image data conforming to the elasticity imaging and outputting the image data.

Optionally, in some embodiments of the invention. Two or more frames of elastic maps are generally adopted for composite output, so as to ensure the output stability of the elastic maps. In the process of obtaining the multi-frame elastic image, if the current two frames of image data do not meet the imaging requirement; and eliminating the two frames of image data, and performing continuous accumulative counting. The above steps are then repeated to obtain an elasticity map.

When the set times are continuously reached, a warning or a prompt is given to remind an operator of improper operation. The acquired elastic map is not output.

The invention can realize the prejudgment of the elastography quality before the elastography calculation with a small amount of calculation, and realize the screening and the elimination of unsatisfactory data according to the prejudgment result, thereby reducing the dependence on an operation method, ensuring the high-quality elastography output and improving the elastography image rate.

Example 3

The embodiment of the invention also provides a multi-frame image data screening method based on the screening method, namely, pairwise pairing is carried out on multi-frame image data, prejudgment evaluation is respectively carried out on each pair of frame frequency data, and then a pair of optimal frame frequency data is selected from the multiple pairs of frame frequency data according to the prejudgment scores to carry out elastic imaging. Referring to fig. 6, the method mainly includes:

step S100: acquiring multi-frame image data and pairing the multi-frame image data;

the pairing may be any type of pairing, and this embodiment provides an implementation of pairing 7 frames of image data. As shown in fig. 7, the 7-frame image data are frame rates (r) - (c), respectively. Selecting a frame frequency I as image data which is read at present, taking the image data as image data before pressing, and respectively selecting frame frequencies II, III and IV as image data after pressing corresponding to the frame frequency I, so as to form 3 pairs of frame frequency data;

then selecting the fourth frame image data as the image data before pressing, selecting the frame frequency of the fifth frame image data, the frame frequency of the sixth frame image data and the frame frequency of the seventh frame image data as the image data after pressing corresponding to the frame frequency of the fourth frame image data, and forming 3 pairs of frame frequency data. A total of 6 pairs of frame rate data are formed.

Therefore, the continuous frames II, III and IV are selected to be matched with the frame frequency I, so that the proper frame frequency interval is ensured to be screened. The number of consecutive frames is related to the frame rate, and the higher the frame rate, the larger the number of consecutive frames to be selected.

Obviously, multiple groups of multi-frame frequency data can be divided for pairing. For example,

dividing A frame image data into B groups in sequence;

selecting the first image data in the group as first frame image data;

the first frame image data is paired with the other image data, respectively.

Step S200: calculating the pre-judging score of the paired two frames of image data;

6 pre-judgment scores were calculated for 6 pairs of frame frequency data according to the method of example 1.

Step S300: selecting two frames of image data with the maximum pre-judgment score;

step S400: and processing the two frames of image data and outputting an elastic graph.

If the expected result is not found within the proper frame rate interval, it is highly probable that the data of the frame rate (r) itself is erroneous. In this case, it is necessary to select one frame from the multi-frame rate data as the pre-compression data, thereby reducing the risk of erroneous data. The same idea is to pair the frame frequency data with consecutive multi-frame frequency data, respectively. The frame frequency screening scheme improves the screening success rate, realizes the real-time plotting of dynamic screening and improves the plotting rate of elastography. The specific parameter setting for screening out two frames of data from the multi-frame rate data is not limited to the above setting.

Example 4

The embodiment of the invention also provides a device for screening image data in ultrasonic elastography, which comprises:

the first acquisition module is used for acquiring image data before compression and image data after compression;

the second acquisition module is used for acquiring a displacement data matrix according to the image data before compression and the image data after compression;

the third acquisition module is used for extracting fitting parameters of the displacement curve along the depth direction from the displacement data matrix;

and the first judging module is used for judging whether the image data before compression and the image data after compression are suitable for elastic imaging processing according to the fitting parameters.

Example 5

The embodiment of the invention also provides an ultrasonic elastography device, which comprises:

the fourth acquisition module is used for acquiring multi-frame image data;

the second judging module is used for judging whether the multi-frame image data meet the imaging requirements or not according to the screening method in the embodiment;

and the calculation output module is used for performing elastic calculation on the image data conforming to the elastic imaging and outputting the image data.

Example 6

An ultrasound apparatus according to an embodiment of the present invention is further provided, and as shown in fig. 8, the ultrasound apparatus may include a processor 31 and a memory 32, where the processor 31 and the memory 32 may be connected by a bus or in another manner, and fig. 8 illustrates an example of connection by a bus.

The processor 31 may be a Central Processing Unit (CPU). The Processor 31 may also be other general purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, or combinations thereof.

The memory 32, which is a non-transitory computer readable storage medium, may be used to store non-transitory software programs, non-transitory computer executable programs, and modules, such as program instructions/modules corresponding to the method for constructing scene information based on execution objects in the embodiment of the present invention. The processor 31 executes various functional applications and data processing of the processor by running the non-transitory software programs, instructions and modules stored in the memory 32, that is, implements the method for constructing scene information based on the execution object in the above method embodiments.

The memory 32 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created by the processor 31, and the like. Further, the memory 32 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory 32 may optionally include memory located remotely from the processor 31, and these remote memories may be connected to the processor 31 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.

The one or more modules are stored in the memory 32 and, when executed by the processor 31, perform the methods of the embodiments described above.

The specific details of the ultrasonic device may be understood according to the corresponding related descriptions and effects in the above embodiments, and are not described herein again.

It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic Disk, an optical Disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a Flash Memory (Flash Memory), a Hard Disk (Hard Disk Drive, abbreviated as HDD), a Solid State Drive (SSD), or the like; the storage medium may also comprise a combination of memories of the kind described above.

It should be understood that the above examples are only for clarity of illustration and are not intended to limit the embodiments. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. And obvious variations or modifications therefrom are within the scope of the invention.