CN113397588A - Elastography method and device and medical equipment - Google Patents
Elastography method and device and medical equipment Download PDFInfo
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Abstract
The invention relates to the technical field of image processing, in particular to an elastography method, a device and medical equipment, wherein the method comprises the steps of obtaining multi-frame image data; sequentially forming a plurality of groups of frame pair image data with adjacent preset number of image data from the first frame image data of the plurality of frames of image data; each group of frame pair image data comprises a preset number of frame pair image data; screening the image data of the plurality of groups of frames to obtain target frame pair image data; performing elastic calculation on the image data of the target frame to obtain an elastic calculation result, and storing the elastic calculation result; an elasticity image is formed based on the stored elasticity calculation results. By carrying out frame pair construction on the acquired multi-frame image data, rich selectivity is provided for screening the image data by subsequent frames, and the dependence on an operation method is reduced; and screening the image data of a plurality of groups of formed frames before the elastic calculation so as to avoid the calculation of redundant image data and improve the plotting efficiency of the elastic image.
Description
Technical Field
The invention relates to the technical field of image processing, in particular to an elastography method, an elastography device and medical equipment.
Background
Push-type elastography, also known as quasi-static elastography, can qualitatively distinguish tissues with different hardness. The method mainly applies pressure to target tissues through the handheld ultrasonic transducer, and tissues with different hardness can deform differently under the same pressure. By analyzing the extracted data of the two frames before and after pressing, the difference information of different deformations can be extracted, and the difference can be represented by different strain values; and then pseudo-color mapping is carried out on different strain values, the strain values are imaged and fused with the tissue B image to obtain a final displayed elastic image, and the elastic imaging is realized.
The elastography 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. The two frames of data are uncorrelated due to the excessive pressing force, and correct strain information cannot be calculated; too low a degree of pressing results in too low signal-to-noise ratio of strain information data, and also causes failure of elastic calculation. Therefore, this method depends on the manipulation technique, and if the pressing force and frequency are not properly selected, the image rate of the elastography is low.
Disclosure of Invention
In view of this, embodiments of the present invention provide an elastography method, an apparatus and a medical device, so as to solve the problem of low image rate of the existing elastography.
According to a first aspect, an embodiment of the present invention provides an elastography method, including:
acquiring multi-frame image data;
sequentially forming a plurality of groups of frame pair image data with adjacent preset number of image data from the first frame image data of the plurality of frames of image data; wherein each set of frame pair image data comprises the preset number of frame pair image data;
screening the image data of the plurality of groups of frames to obtain image data of a target frame pair;
performing elastic calculation on the image data of the target frame to obtain an elastic calculation result, and storing the elastic calculation result;
an elasticity image is formed based on the stored elasticity calculation results.
According to the elastography method provided by the embodiment of the invention, the acquired multi-frame image data is subjected to frame pair construction, so that rich selectivity is provided for screening of the image data by subsequent frames, and the dependence on an operation method is reduced to a certain extent; and screening the image data of a plurality of groups of formed frames before the elastic calculation so as to avoid the calculation of redundant image data and improve the plotting efficiency of the elastic image.
With reference to the first aspect, in a first implementation manner of the first aspect, the forming, starting from a first frame image data of the multiple frames of image data, multiple sets of frame pair image data sequentially with a preset number of adjacent image data includes:
storing the multi-frame image data in a preset space according to a time sequence;
sequentially forming a group of frame pair image data with the adjacent preset number of image data from the first frame image data in the preset space;
acquiring a new image data frame;
and storing the new image data frame into the preset space, deleting the first frame of image data, and updating the preset space to form the plurality of groups of frame pair image data.
According to the elastography method provided by the embodiment of the invention, the acquired multi-frame image data are sequentially stored in the preset space and subjected to frame pair construction, the newly acquired image data are sequentially stored in the preset space, and the first frame image data in the preset space is replaced, so that the image data in the preset space is utilized to construct the multi-group frame image data, and abundant frame pair image data are provided for subsequent screening.
With reference to the first aspect, in a second implementation manner of the first aspect, the screening the image data of the plurality of sets of frames to obtain image data of a target frame pair includes:
calculating a displacement data matrix corresponding to each frame pair image data by using first image data and second image data in the plurality of sets of frame pair image data;
and screening the image data of the plurality of groups of frames according to the displacement data matrix corresponding to the image data of each frame pair to obtain the image data of the target frame pair.
According to the elastography method provided by the embodiment of the invention, the displacement data matrix is respectively calculated for the image data of each frame in the image data of a plurality of groups of frames, the image data of the plurality of groups of frames is screened by using the calculated displacement data matrix, namely, a part of the image data of the frames is screened out by using the displacement data matrix before the elastography, so that the subsequent elastography amount is reduced, and the image rate of the elastography is improved.
With reference to the second implementation manner of the first aspect, in the third implementation manner of the first aspect, the screening the sets of frame pair image data according to the displacement data matrix corresponding to each frame pair image data to obtain the target frame pair image data includes:
extracting a first fitting parameter of a displacement curve along a depth direction from the displacement data matrix, and/or extracting a second fitting parameter of a displacement curve along a horizontal direction from the displacement data matrix;
and screening the image data of the plurality of groups of frames based on the first fitting parameter and/or the second fitting parameter to obtain the image data of the target frame pair.
With reference to the third embodiment of the first aspect, in the fourth embodiment of the first aspect, the first fitting parameters include a first fitting slope and a first fitting degree, and the second fitting parameters include a second fitting degree; wherein the screening the plurality of sets of frame pair image data based on the first fitting parameter and the second fitting parameter to obtain the target frame pair image data comprises:
judging whether frame pair image data meeting preset conditions exist in the plurality of groups of frame pair image data; the preset condition is that the first fitting slope is located between preset slope ranges, the first fitting degree is greater than or equal to a first fitting threshold value, and the second fitting degree is greater than or equal to a second fitting threshold value;
and when frame pair image data meeting the preset condition exist, screening frame pair image data corresponding to the first fitting slope closest to a target threshold value from the frame pair image data meeting the preset condition to obtain the target frame pair image data.
According to the elastography method provided by the embodiment of the invention, as the tissue deforms when the pressing force is applied to the tissue, a relative displacement variation quantity is generated, namely, a displacement data matrix corresponding to the image in each frame, a displacement curve of the displacement data matrix along the depth direction is a monotone increasing curve, a first fitting slope obtained by fitting the displacement data matrix reflects the magnitude degree of the pressing force applied to the tissue to a certain extent, and the slope is relatively increased when the pressure is larger and the displacement variation is larger, or vice versa. The degree of fitting reflects the quality of the extracted vibration displacement signal along the depth direction to a certain extent, and the higher the degree of fitting is, the better the extracted displacement signal is, and vice versa; the displacement curve of the displacement data matrix along the horizontal direction should be a slowly-changing curve, the second fitting degree obtained by fitting the curve reflects the quality of the extracted vibration displacement signal along the horizontal direction to a certain extent, the higher the fitting degree is, the better the continuity of the data is, and meanwhile, the higher the probability indicates that the displacement information calculation result is more accurate.
With reference to the fourth implementation manner of the first aspect, in the fifth implementation manner of the first aspect, the screening the sets of frame-to-image data based on the first fitting parameter and the second fitting parameter to obtain the target frame-to-image data further includes:
when no frame pair image data meeting the preset condition exists, judging whether the number of the image data not meeting the preset condition exceeds a preset value or not;
and when the number which does not meet the preset condition does not exceed the preset value, extracting the last target frame pair image data to be used as the current target frame pair image data.
According to the elastography method provided by the embodiment of the invention, the quality of the obtained image data can be obtained by counting the times of unsatisfied with the preset condition.
With reference to the fourth implementation manner of the first aspect, in a sixth implementation manner of the first aspect, the extracting, from the displacement data matrix, a first fitting parameter of a displacement curve along a depth direction includes:
summing and averaging each row of data of the displacement data matrix to obtain the displacement curve along the depth direction;
fitting the displacement curve along the depth direction to obtain a first fitting slope and a first fitting degree;
and/or the presence of a gas in the gas,
the extracting of the second fitting parameter of the displacement curve along the horizontal direction from the displacement data matrix includes:
summing and averaging each column of data of the displacement data matrix to obtain the displacement curve along the horizontal direction;
and fitting the displacement curve along the horizontal direction to obtain the second fitting degree.
According to the elastography method provided by the embodiment of the invention, as the row data and the column data respectively correspond to the depth direction and the horizontal direction, the corresponding fitting parameters can be quickly obtained by respectively processing the row data and the column data of the displacement data matrix.
With reference to the first aspect or any one of the first to sixth embodiments of the first aspect, in a seventh embodiment of the first aspect, the forming an elasticity image based on the stored elasticity calculation results includes:
and carrying out weighted summation on the stored elasticity calculation results to obtain the elasticity image.
The elasticity imaging method provided by the embodiment of the invention carries out composite processing on the stored elasticity calculation result to obtain the final elasticity image, thereby not only avoiding the problem that the elasticity images of each continuous frame are obviously jumped due to the large difference of pressing, but also ensuring the stable output of the elasticity image.
According to a second aspect, embodiments of the present invention also provide an elastography device, comprising:
the acquisition module is used for acquiring multi-frame image data;
the frame pair construction module is used for sequentially forming a plurality of groups of frame pair image data with the adjacent preset number of image data from the first frame of image data of the plurality of frames of image data; wherein each set of frame pair image data comprises the preset number of frame pair image data;
the screening module is used for screening the image data of the plurality of groups of frames to obtain the image data of the target frame pair;
the elasticity calculation module is used for performing elasticity calculation on the image data of the target frame to obtain a plurality of elasticity calculation results and storing the elasticity calculation results;
and the elastic image forming module is used for forming an elastic image based on the stored elastic calculation result.
According to the elastography device provided by the embodiment of the invention, the acquired multi-frame image data is subjected to frame pair construction, so that rich selectivity is provided for screening of the image data by subsequent frames, and the dependence on an operation method is reduced to a certain extent; and screening the image data of a plurality of groups of formed frames before the elastic calculation so as to avoid the calculation of redundant image data and improve the plotting efficiency of the elastic image.
According to a third aspect, embodiments of the present invention provide a medical apparatus comprising: a memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing therein computer instructions, and the processor executing the computer instructions to perform the elastography method of the first aspect or any one of the embodiments of the first aspect.
According to a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium storing computer instructions for causing a computer to execute the elastography method described in the first aspect or any one of the implementation manners of the first aspect.
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 shows a schematic structural diagram of an ultrasound elastography system in an embodiment of the invention;
FIG. 2 is a flow chart of an elastography method according to an embodiment of the invention;
FIG. 3 is a flow chart of an elastography method according to an embodiment of the invention;
FIG. 4 is a schematic diagram of a frame pair construction according to an embodiment of the invention;
FIG. 5 is a flow chart of an elastography method according to an embodiment of the invention;
FIG. 6a is a schematic diagram of a fit of a displacement curve along the depth direction according to an embodiment of the invention;
FIG. 6b is a schematic diagram of a fit of a displacement curve along the horizontal direction according to an embodiment of the invention;
FIG. 7 is a flow diagram of frame pair screening according to an embodiment of the present invention;
FIG. 8 is a schematic illustration of a multiple elasticity result composite according to an embodiment of the present invention;
FIG. 9 is a block diagram of an elastography device, according to an embodiment of the present invention;
fig. 10 is a schematic hardware structure diagram of a medical apparatus according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious 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.
Fig. 1 shows a schematic structural diagram of an alternative ultrasound elastography system of the present invention, which includes an ultrasound transducer 101 and a medical device, as shown in fig. 1. The medical equipment comprises a processor and a display from the perspective of hardware; the software program executed by the processor is divided from the perspective of software functions, and can be divided into a signal acquisition unit 102, a signal processing unit 103, a B-diagram signal processing unit 104, an elastic processing unit 105, and a fusion unit 106.
Specifically, the ultrasonic transducer 101 emits ultrasonic waves with a certain frequency, and after a certain time delay, the acoustic wave signals reflected by the tissue are received by the signal acquisition unit 102; the received echo signal is signal-preprocessed by the signal preprocessing unit 103. The signal preprocessing includes beam forming processing, signal amplification, analog-to-digital conversion, signal detection, quadrature demodulation, etc., to obtain a quadrature signal containing phase information, and the quadrature signal is sent to two parallel processing units, i.e., a B-map processing unit 104 and an elastic processing unit 105. The orthogonal signals are processed by the B-map processing unit 104 to form a gray ultrasonic image, the orthogonal signals are processed by the elastic processing unit 105 to form an elastic image, then the elastic image is obtained by the fusion unit 106, and finally the elastic image is sent to the display unit 107 to be displayed.
Of course, the scope of the invention is not limited thereto. For example, the processor of the medical device may be used only to implement the function of the elastic processing unit 104, other processing units (i.e., the signal acquisition unit 102, the signal processing unit 103, the B-map signal processing unit 104, and the fusion unit 106) may be implemented using at least one other electronic device, and so on. The corresponding setting can be specifically carried out according to the actual situation.
In accordance with an embodiment of the present invention, there is provided an embodiment of an elastography method, it is noted that the steps illustrated in the flowchart of the figure may be performed in a computer system such as a set of computer executable instructions, and that while a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different than here.
In the present embodiment, an elastography method is provided, which can be used in the medical apparatus, and fig. 2 is a flowchart of an elastography method according to an embodiment of the present invention, as shown in fig. 2, the flowchart includes the following steps:
s11, acquiring multi-frame image data.
The multi-frame image data can be obtained by directly acquiring the multi-frame image data from the ultrasonic transducer by the medical equipment and performing signal preprocessing; or the acquired ultrasound image data acquired by the medical device from other electronic devices may be obtained after signal preprocessing, and the like. The source of the multi-frame image data is not limited in any way.
As shown in fig. 1, the signal acquisition unit 102 acquires ultrasound echo signals at a certain sampling frequency, so that the image data acquired by the medical apparatus is continuous image data. After the image data are acquired, the medical equipment stores the image data in a preset space, and after multi-frame image data are stored in the preset space, subsequent frame pair construction is carried out; the image data in the preset space is stored in time sequence. The number of the frames of image data stored in the preset space may be set according to actual situations, and is not limited herein.
S12, a plurality of sets of frame pair image data are formed sequentially from the first frame image data of the plurality of frames of image data and a predetermined number of adjacent image data.
Wherein each set of frame pair image data includes a preset number of frame pair image data.
Multiframe image data are stored in a preset space of the medical equipment, and the medical equipment stores new image data into the preset space after acquiring the new image data so as to ensure that the multiframe image data stored in the preset space are all image data acquired in real time.
For example, the medical device may extract the first frame of image data and a preset number of adjacent image data from a preset space, and then form a set of frame-pair image data by using the first frame of image data and the adjacent image data respectively. As the medical device continuously acquires new image data, the image data in the preset space is updated, and then the medical device can form a plurality of groups of frame pair image data by using the continuously updated preset space.
The frame pair image data is composed of first image data and second image data, wherein the first image data is first frame image data in a plurality of frames of image data, the first image data can be regarded as image data before compression, and the second image data can be regarded as image data after compression.
The preset number k is related to the compression period, that is, the preset number may be set as the maximum interval between the data before compression and the data after compression. The size of k is related to the frequency of pressing by the user and the frame rate of the medical device, and when the user presses too fast or the frame rate of the medical device is too high, the preset number k also needs to be set to be larger, and vice versa. For example, before performing the elastography, the pressing frequency of the user is detected, and a preset number of queries is performed from a preset data table by using the detected pressing frequency and the frame rate of the medical device, so as to obtain a preset number corresponding to the pressing frequency of the user and the frame rate of the medical device. The data table is a corresponding relation between preset quantity and user pressing frequency which are established in advance and the frame rate of the medical equipment.
This step will be described in detail below.
And S13, screening the image data of the plurality of groups of frames to obtain the image data of the target frame pair.
After the medical equipment obtains the image data of the plurality of groups of frames, the image data of the plurality of groups of frames is screened to obtain the image data of the target frame pair. The target frame pair image data may be frame pair image data in the current multi-frame pair image data, or target frame pair image data obtained by screening multi-frame pair image data last time, and the like.
The image data of each frame pair is composed of two image data, one represents the image data before compression, the other represents the image data after compression, and because the frequency of pressing and the degree of pressing of a user are unstable, the relative displacement between the image data before compression and the image data after compression can be considered to be within a certain threshold range, so that the distance between the two image data in the image data can be calculated for each frame in the image data of a plurality of groups of frames, and the relative displacement can be obtained; and judging whether the calculated relative displacement is within a threshold range, and determining that the frame pair image data is the target frame pair image data when the calculated relative displacement is within the threshold range. Of course, screening may be performed in other ways, as will be described in detail below.
And S14, performing elasticity calculation on the image data of the target frame to obtain an elasticity calculation result, and storing the elasticity calculation result.
After the medical equipment obtains the image data of the target frame pair, the elasticity calculation is carried out on the image data, the elasticity calculation result is correspondingly obtained, and the elasticity calculation result is stored. The elasticity calculation method herein can be selected accordingly according to actual situations, and is not limited herein.
S15, forming an elasticity image based on the stored elasticity calculation result.
After obtaining the elasticity calculation results, the medical device may calculate an average of the stored elasticity calculation results to form an elasticity image; or the stored elasticity calculation results can be subjected to weighted summation to form the elasticity image; however, the scope of the present invention is not limited to the above two methods, and may be other methods, and is not limited thereto.
It should be noted that the medical device performs the above-mentioned S12-S15 in a loop, wherein each time S14 is performed, an elasticity calculation result is added to the storage section, and an elasticity image is formed by using the stored elasticity calculation result. For example, after the first execution of S14, if there is an elasticity calculation result in the storage section, the medical device forms an elasticity image using the elasticity calculation result; after performing S14 for the second time, there are two elasticity calculations in the storage interval, the medical device forms an elasticity image using the two elasticity calculations, and so on. When the obtained elasticity calculation result is filled in the storage interval, the elasticity calculation result obtained next time replaces the elasticity calculation result obtained earliest so as to update the storage interval. The size of the storage section can be set according to actual conditions (specifically, will be described in detail below) to increase stability of image output.
According to the elastography method provided by the embodiment, the acquired multi-frame image data is subjected to frame pair construction, so that rich selectivity is provided for screening of the image data by subsequent frames, and the dependence on an operation method is reduced to a certain extent; and screening the image data of a plurality of groups of formed frames before the elastic calculation so as to avoid the calculation of redundant image data and improve the plotting efficiency of the elastic image.
In the present embodiment, an elastography method is provided, which can be used in the medical apparatus, and fig. 3 is a flowchart of an elastography method according to an embodiment of the present invention, as shown in fig. 3, the flowchart includes the following steps:
s21, acquiring multi-frame image data.
Please refer to S11 in fig. 2 for details, which are not described herein.
S22, a plurality of sets of frame pair image data are formed sequentially from the first frame image data of the plurality of frames of image data and a predetermined number of adjacent image data.
Wherein each set of frame pair image data includes a preset number of frame pair image data.
After acquiring the image data, the medical equipment sequentially stores the image data in a preset space; and after a new image data frame is acquired, updating the preset space to construct a plurality of groups of frame-to-image data. Specifically, the step S22 includes the following steps:
and S221, storing the multi-frame image data in a preset space according to a time sequence.
For example, M frames of image data may be stored in the preset space, and the medical device sequentially stores the acquired image data in the preset space in chronological order. The length of the preset space may be specifically set according to actual conditions, and is not limited herein.
S222, sequentially forming a group of frame-to-frame image data with a preset number of adjacent image data from the first frame of image data in the preset space.
And storing M frames of image data in a preset space, wherein the preset number is k. Referring to fig. 4, fig. 4 illustrates the principle of frame pair construction. Assuming that the multi-frame image data is M frames, f (i) is ith frame image data, and k is a preset number, f (i) is set as the image data before compression, and the following continuous k frames are set as the image data after compression, that is, a set of frame pair image data is constructed, wherein the set of frame pair image data has k frame pair image data.
As shown in fig. 4, F (i) is the first frame image data in the preset space, F (i) and F (i +1) form the 1 st pair of frame pair image data, … …, F (i) and F (i + k-1) form the (k-1) th pair of frame pair image data, and F (i) and F (i + k) form the kth pair of frame pair image data; the 1 st to k th pair of frame pair image data are referred to as a set of frame pair image data.
S223, a new image data frame is acquired.
S224, storing the new image data frame into the preset space, deleting the first frame of image data and updating the preset space to form a plurality of groups of frame-to-image data.
And analogizing in sequence, when updating one frame of image data, storing a newly obtained image data frame into a preset space, and deleting the first frame of image data in the preset space to obtain an updated preset space. At this time, the medical device may also construct a set of frame-to-frame image data by setting the next frame image data of the first frame image data described in S222 as data before compression and setting the subsequent k frame image data as image data after compression. The size of k is related to the frequency of pressing by the user and the frame rate of the system, and when the user presses too fast or the frame rate of the system is too high, the continuous frame number k also needs to be set to be larger, and vice versa.
Since the maximum interval between the image data before compression and the image data after compression is k, the image data of the first M-k frames in the preset space can be considered as the image data before compression, and then:
forming 1 st group of frame pair image data having k pairs of frame pair image data when the 1 st frame image data is image data before compression;
forming a 2 nd set of frame pair image data having k pairs of frame pair image data when the 2 nd frame image data is the image data before compression;
……
when the (M-k-1) th frame image data is the image data before compression, the (M-k) th group of frame pair image data having k pairs of frame pair image data is formed.
Therefore, when the data amount of the data storage space reaches M frames, a total of (M-k) × k frame pairs can be constructed, i.e., there are (M-k) frames as the data before the compression.
It should be noted that, the medical device may start the frame pair configuration processing after the preset space is full of M frames of image data; since the maximum interval between the image data before compression and the image data after compression is K, the medical device may start the frame pair configuration process after storing K +1 frames of image data in the preset space. In the following description, the frame-by-frame configuration process is described in detail, taking as an example that the preset space is filled with M frames of image data.
Specifically, see table 1 for an example where M is 7 and k is 3.
TABLE 1 frame-to-image data construction
As described in table 1, the first row in table 1 is used to indicate the frame number of the image data stored in chronological order in the preset space. The image data represented by the 1 st line are F (1) -F (7) in sequence, after the medical equipment acquires the F (8), the F (1) is deleted, the F (8) is stored in the 7 th frame of the preset space, and at the moment, the F (2) is the first frame of image data in the preset space, and so on. As described above, if the image data of the first M-k frames in the preset space is the image data before compression, the image data corresponding to F (1) -F (4) can be regarded as the image data before compression, and the frame pair construction processing is performed.
With reference to table 1, the constructed frame-to-image data is shown in table 2:
TABLE 2 frame-to-image data construction
| Number of groups | Image data before compression | Frame-to-image data |
| 1 | F(1) | F (1) and F (2), F (1) and F (3), F (1) and F (4) |
| 2 | F(2) | F (2) and F (3), F (2) and F (4), F (2) and F (5) |
| 3 | F(3) | F (3) and F (4), F (3) and F (5), F (3) and F (6) |
| 4 | F(4) | F (4) and F (5), F (4) and F (6), F (4) andF(7) |
therefore, as can be seen from table 2, M frames of image data in the preset space may form M-K sets of frame-pair image data, each set of frame-pair image data has K pairs of frame-pair image data, and thus, the M frames of image data may form (M-K) × K pairs of frame-pair image data in total. Taking the above-mentioned case where M is 7 and k is 3 as an example, the total of 7 frames of image data can form 12 pairs of frame-by-frame image data.
Referring to table 1 again, after the medical device acquires F (11), the next multi-frame image data may be constructed by using F (2) -F (5) as the image data before compression, and since the frame-pair image data is already formed in the construction of the current frame-pair image data by using F (2) -F (4) as the image data before compression, only F (5) is required to be processed in the construction of the next frame-pair image data, so that the next frame-pair image data only needs to be processed, and (M-k) × k frame-pair image data may also be formed.
In the embodiment, the medical device sets multi-frame image data as image data before compression in a limited preset space (M frames), so that the risk of error of first frame data is reduced, and in addition, only the evaluation index of k pairs of data needs to be calculated each time, but (M-k) × k pairs of frames can be provided for screening, so that the validity of the pairs of frames is considered, the real-time processing of an algorithm is ensured, and the image rate of elastography is improved to a great extent.
And S23, screening the image data of the plurality of groups of frames to obtain the image data of the target frame pair.
Please refer to S13 in fig. 2 for details, which are not described herein.
And S24, performing elasticity calculation on the image data of the target frame to obtain an elasticity calculation result, and storing the elasticity calculation result.
Please refer to S14 in fig. 2 for details, which are not described herein.
S25, forming an elasticity image based on the stored elasticity calculation result.
Please refer to S15 in fig. 2 for details, which are not described herein.
In the elastography method provided by this embodiment, the acquired multiple frames of image data are sequentially stored in the preset space and subjected to frame pair construction, then the newly acquired image data are sequentially stored in the preset space, and the first frame of image data in the preset space is replaced, so that the image data in the preset space is utilized to construct multiple sets of frame pair image data, and rich frame pair image data are provided for subsequent screening.
In the present embodiment, an elastography method is provided, which can be used in the medical apparatus described above, and fig. 5 is a flowchart of the elastography method according to the embodiment of the present invention, as shown in fig. 5, the flowchart includes the following steps:
s31, acquiring multi-frame image data.
Please refer to S21 in fig. 3 for details, which are not described herein.
S32, a plurality of sets of frame pair image data are formed sequentially from the first frame image data of the plurality of frames of image data and a predetermined number of adjacent image data.
Wherein each set of frame pair image data includes a preset number of frame pair image data.
Please refer to S22 in fig. 3 for details, which are not described herein.
And S33, screening the image data of the plurality of groups of frames to obtain the image data of the target frame pair.
After the medical device forms a plurality of sets of frame pair image data in S32, it is screened.
Specifically, the step S33 includes the following steps:
s331, calculates a displacement data matrix corresponding to each frame of image data using the first image data and the second image data of each frame of image data of the plurality of sets of frame-to-image data.
The medical equipment screens image data of a plurality of groups of frames, wherein each image data of the frame pair is composed of first image data and second image data, the first image data is the image data before compression, and the second image data is the image data after compression. The medical device calculates M N displacement data matrix corresponding to the frame to the image data by using the first image data and the second image data. Where M × N is the size of the acquired image data.
For example, the first image data is expressed as: z1＝I1+iQ1The second image data is expressed as: z2＝I2+iQ2；
Conjugate multiplication of the first image data and the second image data:
ZMxN＝Z1*conj(Z2)；
wherein conj is a conjugation operation, ZMxNThe 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:
in the formula (Z)MxN) Is to the complex matrix ZMxNExtracting phase information; c is the speed of sound 1540 m/s; f. of0Is the center frequency of the transmitted ultrasonic wave; dispMxNIs a matrix of displacement data.
S332, screening the image data of the plurality of groups of frames according to the displacement data matrix corresponding to the image data of each frame pair to obtain the image data of the target frame pair.
As described above, the corresponding displacement data matrix Disp has been obtained in S331 for each pair of frame pair image dataMxN. Therefore, for a plurality of sets of frame pair image data, the medical device can filter the frame pair image data by using a k shift data matrix corresponding to the k pair frame pair image data one by one.
Specifically, the step S332 may include the following steps:
(1) first fitting parameters of a displacement curve in the depth direction are extracted from the displacement data matrix and/or second fitting parameters of a displacement curve in the horizontal direction are extracted from the displacement data matrix.
Wherein the first fitting parameters comprise a first fitting slope and a first fitting degree, and the second fitting parameters comprise a second fitting degree.
The medical device may screen the image data for each group of frames only by using the first fitting parameter of the displacement curve in the depth direction, may screen the image data for each group of frames only by using the second fitting parameter of the displacement curve in the horizontal direction, or may screen the image data for each group of frames by combining the displacement curve in the depth direction with the displacement curve in the horizontal direction.
Specifically, when the medical device needs to screen image data for each group of frames by using the first fitting parameter of the displacement curve in the depth direction, the medical device sums and averages each row of data of the displacement data matrix corresponding to each pair of frame-to-image data to obtain the displacement curve of the pair of image data of the frame along the depth direction, as shown in fig. 6 a; fitting the displacement curve along the depth direction to obtain a first fitting slope kaxialAnd a first degree of fitting Raxial. Wherein, the medical equipment can carry out linear fitting on the displacement curve along the depth direction to obtain a first fitting slope kaxialAnd a first degree of fitting Raxial。
When the medical device needs to screen the frame-to-image data by using the second fitting parameter of the horizontal displacement curve, the medical device sums and averages each line of data of the displacement data matrix corresponding to each frame-to-image data to obtain a displacement curve of the frame-to-image data along the horizontal direction, as shown in fig. 6 b; fitting the displacement curve along the horizontal direction to obtain a second fitting degree Rlateral. Wherein, the medical equipment can carry out secondary fitting or multiple fitting on the displacement curve along the horizontal direction to obtain a second fitting degree Rlateral。
Ideally, applying a pressing force to the tissue causes the tissue to deform, that is, a relative displacement change amount is generated, the displacement information should be a monotonically increasing curve in the depth direction, the curve is linearly fitted, the slope obtained by fitting reflects the magnitude of the pressing force applied to the tissue to some extent, and the slope obtained becomes relatively large as the pressure is larger and the displacement change is larger, and vice versa. The degree of fitting reflects the quality of the extracted vibration displacement signal along the depth direction to a certain extent, and the higher the degree of fitting is, the better the extracted displacement signal is, and vice versa; in addition, the displacement information should be a slowly-changing curve along the horizontal direction, quadratic curve fitting is carried out on the curve, the corresponding fitting degree reflects the quality of the extracted vibration displacement signal along the horizontal direction to a certain extent, the higher the fitting degree is, the better the continuity of the data is, and meanwhile, the higher the probability shows that the displacement information calculation result is more accurate.
(2) And screening the image data of the plurality of groups of frames based on the first fitting parameter and/or the second fitting parameter to obtain the image data of the target frame pair.
After the first fitting parameter and/or the second fitting parameter corresponding to the image data of each frame in the plurality of groups of frame pair image data are obtained, the medical equipment utilizes the first fitting parameter and/or the second fitting parameter corresponding to the image data of each frame to carry out frame pair image data screening, and the target frame pair image data are obtained.
Specifically, as shown in fig. 7, the method includes the following steps:
and (2.1) judging whether frame pair image data meeting preset conditions exist in the plurality of groups of frame pair image data. The preset condition is that the first fitting slope is located between preset slope ranges, the first fitting degree is larger than or equal to a first fitting threshold value, and the second fitting degree is larger than or equal to a second fitting threshold value.
When the frame pair image data meeting the preset condition exists, S2.2 is executed; otherwise, S2.3 is performed.
The elastography depends on the operation of a user, the pressing force can not be too large or too small, and a first fitting slope k is requiredaxialShould be within a reasonable interval. If the system presets the maximum slope to be kmaxMinimum slope of kminThen k isaxialIt should satisfy: k is a radical ofmin≤kaxial≤kmax. First degree of fitting RaxialThe quality of the extracted displacement signal along the depth direction is represented, and if the system presets a first fitting threshold value in the depth direction as Raxial_minThen R isaxialIt should satisfy: raxial≥Raxial_min. Second degree of fitting RlateralRepresenting the quality of the extracted displacement signal along the horizontal direction, and if a second fitting threshold value in the horizontal direction is preset by the system to be Rlateral_minThen R islateralIt should satisfy: rlateral≥Rlateral_min。
Therefore, the fitting parameters corresponding to the image data of the frames satisfying the preset condition can be expressed as:
and (2.2) screening frame pair image data corresponding to the first fitting slope closest to a target threshold value from the frame pair image data meeting the preset condition to obtain target frame pair image data.
When at least one pair of frame pair image data meeting preset conditions exists in a certain group of frame pair image data, selecting a pair of first fitting slopes from the frame pair image data to be closest to a target threshold kbestThe frame-to-image data of (1) is set as target frame-to-image data.
And (2.3) judging whether the number which does not meet the preset condition exceeds a preset value.
And counting by a counter if the image data of all the groups of frames do not have the frame pair image data meeting the preset condition in the image data, wherein the counter is used for counting the number of the frames which do not meet the preset condition in the whole process of forming the elastic image. Wherein, a preset value is set in the medical equipment, namely Q.
When the number of the unsatisfied preset conditions does not exceed the preset value, namely the count is less than or equal to Q, executing (2.4); otherwise, execute (2.5).
And (2.4) extracting the last target frame pair image data as the current target frame pair image data.
If there is no frame pair image data satisfying the preset condition in the current multiple sets of frame pair image data, the medical device extracts the last target frame pair image data and uses the last target frame pair image data as the current target frame pair image data.
(2.5) outputting the elastic result of no load, or not displaying.
If the value of the counter exceeds the preset value in the whole elastography process, the elastography fails, and a no-load elastography result can be output or not displayed.
And S34, performing elasticity calculation on the image data of the target frame to obtain an elasticity calculation result, and storing the elasticity calculation result.
Please refer to S24 in fig. 3 for details, which are not described herein.
S35, forming an elasticity image based on the stored elasticity calculation result.
The medical equipment performs composite processing by using the stored elasticity result to obtain an elasticity map which is finally output and displayed. Specifically, if there are a plurality of stored elasticity results, the medical device performs weighted summation on the plurality of elasticity calculation results to obtain an elasticity image. As shown in fig. 8, it is assumed that the selected elastic calculation results are respectively expressed as: e (i-n +1), E (i-n +2), …, E (n), corresponding to coefficients a (1), a (2) … a (n), then the composite result out (i) of frame i is:
out(i)＝a(1)*E(i-k+1)+a(2)*E(i-k+2)+...+a(k)*E(i)
where i represents the number of the current frame, out is the result of elastic composition, n can be specified by system adjustment to determine the range of composition, and the distribution of the weighting coefficient a can be average weighting, a function with distance as a variable, or a function based on the evaluation score, etc. The setting of the weighting system is not limited to the above-described setting.
In the embodiment, the medical equipment forms the elastic image by using the existing elastic calculation result in the storage section, instead of forming the elastic image after the storage section is full, the real-time performance of the elastic imaging can be ensured, and the stability of image output is improved. In addition, when the size of the storage section is set, the update rate of the elastic image needs to be considered, because the elastic image is formed by using all the elastic calculation results after the storage section is full, and if the size of the storage section is too small, the elastic image is frequently updated, and a flickering appearance is reflected; if the size of the storage interval is too large, the elasticity image formed by using more elasticity calculation results has larger time delay due to more elasticity calculation results.
In the elastography method provided by this embodiment, a displacement data matrix is respectively calculated for image data of each frame in image data of a plurality of groups of frames, and the image data of the plurality of groups of frames is screened by using the calculated displacement data matrix, that is, before performing elastography, a part of image data of the frames is screened by using the displacement data matrix, so as to reduce subsequent elastography amount and improve the rendering rate of the elastography; and the elastic calculation result obtained after calculation is subjected to composite processing, so that the obvious jump of continuous elastic images caused by large difference in pressing is avoided, and the stable output of the elastic images is ensured.
According to the elastography method, firstly, the acquired multi-frame image data are subjected to frame pair construction, a combination of various frames and the image data can be constructed in a limited storage space, rich selectivity is provided for screening of the subsequent frames and the image data, and the dependence on an operation method is reduced to a certain extent. In addition, the implementation of the invention also provides an effective screening criterion, which can screen out proper pair of frame-to-frame image data from the multi-frame image data with less calculation amount, and the process improves the real-time performance of clinical operation; high-precision elasticity calculation is carried out on the image data of the screened frames, so that the accuracy of elasticity imaging is improved; and finally, performing composite processing on the multi-frame high-precision elastic calculation results to further ensure the stability of the output of the elastic image. The elastography method in the embodiment of the invention not only reduces the dependence on an operation technique, but also ensures that a high-quality elastography result is obtained in real time, and improves the image rate of the elastography.
In this embodiment, an elastography device is further provided, and the device is used for implementing the above embodiments and preferred embodiments, which have already been described and are not described again. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.
The present embodiment provides an elastography device, as shown in fig. 9, comprising:
an obtaining module 41, configured to obtain multi-frame image data;
a frame pair construction module 42, configured to form, starting from the first frame image data of the multiple frames of image data, multiple sets of frame pair image data sequentially with a preset number of adjacent image data; wherein each set of frame pair image data comprises the preset number of frame pair image data;
a screening module 43, configured to screen the image data of the multiple groups of frames to obtain image data of a target frame pair;
an elasticity calculation module 44, configured to perform elasticity calculation on the image data of the target frame to obtain an elasticity calculation result, and store the elasticity calculation result;
and an elasticity image forming module 45 for forming an elasticity image based on the stored elasticity calculation result.
The elastography device provided by the embodiment provides rich selectivity for screening of image data by subsequent frames by performing frame pair construction on acquired multi-frame image data, and reduces the dependence on an operation method to a certain extent; and screening the image data of a plurality of groups of formed frames before the elastic calculation so as to avoid the calculation of redundant image data and improve the plotting efficiency of the elastic image.
The elastography device in this embodiment is presented in the form of functional units, where a unit refers to an ASIC circuit, a processor and memory executing one or more software or fixed programs, and/or other devices that may provide the above-described functionality.
Further functional descriptions of the modules are the same as those of the corresponding embodiments, and are not repeated herein.
An embodiment of the present invention further provides a medical apparatus having the elastography device shown in fig. 9.
Referring to fig. 10, fig. 10 is a schematic structural diagram of a medical apparatus according to an alternative embodiment of the present invention, as shown in fig. 10, the medical apparatus may include: at least one processor 51, such as a CPU (Central Processing Unit), at least one communication interface 53, memory 54, at least one communication bus 52. Wherein a communication bus 52 is used to enable the connection communication between these components. The communication interface 53 may include a Display (Display) and a Keyboard (Keyboard), and the optional communication interface 53 may also include a standard wired interface and a standard wireless interface. The Memory 54 may be a high-speed RAM Memory (volatile Random Access Memory) or a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. The memory 54 may alternatively be at least one memory device located remotely from the processor 51. Wherein the processor 51 may be in connection with the apparatus described in fig. 9, the memory 54 stores an application program, and the processor 51 calls the program code stored in the memory 54 for performing any of the above-mentioned method steps.
The communication bus 52 may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The communication bus 52 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in FIG. 10, but this is not intended to represent only one bus or type of bus.
The memory 54 may include a volatile memory (RAM), such as a random-access memory (RAM); the memory may also include a non-volatile memory (english: non-volatile memory), such as a flash memory (english: flash memory), a hard disk (english: hard disk drive, abbreviated: HDD) or a solid-state drive (english: SSD); the memory 54 may also comprise a combination of the above types of memories.
The processor 51 may be a Central Processing Unit (CPU), a Network Processor (NP), or a combination of a CPU and an NP.
The processor 51 may further include a hardware chip. The hardware chip may be an application-specific integrated circuit (ASIC), a Programmable Logic Device (PLD), or a combination thereof. The PLD may be a Complex Programmable Logic Device (CPLD), a field-programmable gate array (FPGA), a General Array Logic (GAL), or any combination thereof.
Optionally, the memory 54 is also used to store program instructions. The processor 51 may call program instructions to implement the elastography method as shown in the embodiments of fig. 2, 3 and 5 of the present application.
Embodiments of the present invention further provide a non-transitory computer storage medium, where computer-executable instructions are stored, and the computer-executable instructions may execute the elastography method in any of the above method embodiments. 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.
Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations fall within the scope defined by the appended claims.
Claims (11)
1. An elastography method, comprising:
acquiring multi-frame image data;
sequentially forming a plurality of groups of frame pair image data with adjacent preset number of image data from the first frame image data of the plurality of frames of image data; wherein each set of frame pair image data comprises the preset number of frame pair image data;
screening the image data of the plurality of groups of frames to obtain image data of a target frame pair;
performing elastic calculation on the image data of the target frame to obtain an elastic calculation result, and storing the elastic calculation result;
an elasticity image is formed based on the stored elasticity calculation results.
2. The method according to claim 1, wherein forming a plurality of sets of frame pair image data sequentially from a first frame image data of the plurality of frames of image data to a preset number of adjacent image data comprises:
storing the multi-frame image data in a preset space according to a time sequence;
sequentially forming a group of frame pair image data with the adjacent preset number of image data from the first frame image data in the preset space;
acquiring a new image data frame;
and storing the new image data frame into the preset space, deleting the first frame of image data, and updating the preset space to form the plurality of groups of frame pair image data.
3. The method of claim 1, wherein the filtering the plurality of sets of frame-pair image data to obtain target frame-pair image data comprises:
calculating a displacement data matrix corresponding to each frame pair image data by using the first image data and the second image data of each frame pair image data in the plurality of sets of frame pair image data;
and screening the image data of the plurality of groups of frames according to the displacement data matrix corresponding to the image data of each frame pair to obtain the image data of the target frame pair.
4. The method of claim 3, wherein the screening the sets of frame-pair image data according to the displacement data matrix corresponding to each frame-pair image data to obtain the target frame-pair image data comprises:
extracting a first fitting parameter of a displacement curve along a depth direction from the displacement data matrix, and/or extracting a second fitting parameter of a displacement curve along a horizontal direction from the displacement data matrix;
and screening the image data of the plurality of groups of frames based on the first fitting parameter and/or the second fitting parameter to obtain the image data of the target frame pair.
5. The method of claim 4, wherein the first fitting parameters comprise a first fitting slope and a first degree of fit, and the second fitting parameters comprise a second degree of fit; wherein the screening the plurality of sets of frame pair image data based on the first fitting parameter and the second fitting parameter to obtain the target frame pair image data comprises:
judging whether frame pair image data meeting preset conditions exist in the plurality of groups of frame pair image data; the preset condition is that the first fitting slope is located between preset slope ranges, the first fitting degree is greater than or equal to a first fitting threshold value, and the second fitting degree is greater than or equal to a second fitting threshold value;
and when frame pair image data meeting the preset condition exist, screening frame pair image data corresponding to the first fitting slope closest to a target threshold value from the frame pair image data meeting the preset condition to obtain the target frame pair image data.
6. The method of claim 5, wherein the screening the plurality of sets of frame-to-image data based on the first and second fitting parameters to obtain the target frame-to-image data, further comprises:
when no frame pair image data meeting the preset condition exists, judging whether the number of the image data not meeting the preset condition exceeds a preset value or not;
and when the number which does not meet the preset condition does not exceed the preset value, extracting the last target frame pair image data to be used as the current target frame pair image data.
7. The method of claim 5, wherein the extracting the first fitting parameter of the displacement curve along the depth direction from the displacement data matrix comprises:
summing and averaging each row of data of the displacement data matrix to obtain the displacement curve along the depth direction;
fitting the displacement curve along the depth direction to obtain a first fitting slope and a first fitting degree;
and/or the presence of a gas in the gas,
the extracting of the second fitting parameter of the displacement curve along the horizontal direction from the displacement data matrix includes:
summing and averaging each column of data of the displacement data matrix to obtain the displacement curve along the horizontal direction;
and fitting the displacement curve along the horizontal direction to obtain the second fitting degree.
8. The method according to any one of claims 1-7, wherein forming an elasticity image based on the stored elasticity calculation results comprises:
and carrying out weighted summation on the stored elasticity calculation results to obtain the elasticity image.
9. An elastography device, comprising:
the acquisition module is used for acquiring multi-frame image data;
the frame pair construction module is used for sequentially forming a plurality of groups of frame pair image data with the adjacent preset number of image data from the first frame of image data of the plurality of frames of image data; wherein each set of frame pair image data comprises the preset number of frame pair image data;
the screening module is used for screening the image data of the plurality of groups of frames to obtain the image data of the target frame pair;
the elasticity calculation module is used for performing elasticity calculation on the image data of the target frame to obtain an elasticity calculation result and storing the elasticity calculation result;
and the elastic image forming module is used for forming an elastic image based on the stored elastic calculation result.
10. A medical device, comprising:
a memory and a processor communicatively coupled to each other, the memory having stored therein computer instructions, the processor executing the computer instructions to perform the elastography method of any of claims 1-8.
11. A computer-readable storage medium having stored thereon computer instructions for causing a computer to perform the elastography method of any of claims 1-8.
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