CN113939236A - Ultrasonic imaging equipment and ultrasonic echo signal processing method thereof - Google Patents
Ultrasonic imaging equipment and ultrasonic echo signal processing method thereof Download PDFInfo
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Abstract
A processing method of ultrasonic echo signals obtains and analyzes quantitative values reflecting the severity of liver attribute analysis and the credibility of the quantitative values by obtaining and analyzing the ultrasonic echo signals of a liver; and displaying the quantitative value and the credibility on a display interface of a display. The severity of liver attribute analysis is provided for doctors through the quantitative values, misleading of doctors can be avoided by displaying the reliability, the quantitative values and the reliability thereof can comprehensively provide diagnosis reference for the doctors, and help is provided for the doctors to improve the diagnosis accuracy. A corresponding ultrasound imaging apparatus is also disclosed.
Description
The invention relates to the field of medical instruments, in particular to an ultrasonic imaging device and a processing method of ultrasonic echo signals thereof.
With the development of the technology, the application of the image processing technology and the artificial intelligence technology in medicine is more and more common. At present, most of the applications in clinical products are processing and analyzing medical images, and then directly providing analysis results, which is helpful for providing reference for doctors, but also affects the judgment of doctors, especially low-age doctors, to a certain extent, and doctors may completely refer to the analysis results to make final judgment or conclusion. However, the analysis result is not completely accurate, and if the image processing technology and the artificial intelligence technology do not well analyze the pathology displayed by the medical image for some reason, the accuracy of the given result is not high, and the result can mislead a doctor, which can greatly affect the subsequent treatment of the patient. Especially for the fatty liver problem, early fatty liver belongs to reversible disease, and the correct treatment mode can completely cure the fatty liver. However, if the patient is misdiagnosed due to the belief of artificial intelligence, the condition of the patient is delayed, the fatty liver severity is increased, and even the fatty liver is converted into irreversible liver fibrosis, liver cirrhosis, liver cancer and the like, and the patient is further injured, which is absolutely impossible.
Summary of The Invention
Solution to the problem
The invention mainly provides an ultrasonic imaging device and a processing method of an ultrasonic echo signal thereof.
An embodiment provides an ultrasound imaging apparatus comprising:
the ultrasonic probe is used for transmitting ultrasonic waves to a target area, receiving echoes of the ultrasonic waves and obtaining electric signals of the echoes;
the transmitting/receiving control circuit is used for controlling the ultrasonic probe to transmit ultrasonic waves to a target area and receive echoes of the ultrasonic waves;
a display for outputting visual information;
a processor to:
obtaining an ultrasonic echo signal according to the electric signal of the echo, and analyzing the ultrasonic echo signal to obtain a quantitative value of the severity of the fatty liver or the hepatic fibrosis of the liver and the reliability of the quantitative value; and
providing a liver schematic diagram, identifying the quantitative value as one index of the liver schematic diagram, identifying the reliability as another index of the liver schematic diagram, and visually displaying the quantitative value and the reliability on a display interface of a display through the identified liver schematic diagram.
An embodiment provides an ultrasound imaging apparatus comprising:
the ultrasonic probe is used for transmitting ultrasonic waves to a target area, receiving echoes of the ultrasonic waves and obtaining electric signals of the echoes;
the transmitting/receiving control circuit is used for controlling the ultrasonic probe to transmit ultrasonic waves to a target area and receive echoes of the ultrasonic waves;
a display for outputting visual information;
a processor to:
obtaining an ultrasonic echo signal according to the electric signal of the echo, and analyzing the ultrasonic echo signal to obtain a quantitative value reflecting the severity of liver attribute analysis and the reliability of the quantitative value; and
and displaying the quantitative value and the credibility on a display interface of a display.
An embodiment provides a method for processing an ultrasonic echo signal, including:
acquiring an ultrasonic echo signal of the liver;
analyzing the ultrasonic echo signals, identifying interested image signs contained in the ultrasonic echo signals, and obtaining a quantitative value reflecting the interested degree of the interested image signs and the credibility of the quantitative value; and
and taking the quantitative value as one dimension, and taking the credibility as the other dimension, and performing related display on the interest degree of the image characteristics of interest on a display interface.
According to the ultrasonic imaging device and the ultrasonic echo signal processing method thereof of the embodiment, the quantitative value and the reliability can be visually displayed on the display interface of the display.
Advantageous effects of the invention
Brief description of the drawings
Fig. 1 is a block diagram of an ultrasound imaging apparatus according to an embodiment of the present invention;
fig. 2 is a flowchart of a processing method of an ultrasonic echo signal according to an embodiment of the present invention;
FIG. 3 is a flowchart of the method of step 2 of FIG. 2;
FIG. 4 is a schematic diagram of a quantitative value and a reliability thereof graphically displayed on an ultrasound image according to an embodiment of the present invention;
FIG. 5a is a first graphical illustration of low confidence in an embodiment of the invention;
FIG. 5b is a first graphical illustration of medium confidence levels in an embodiment of the present invention;
FIG. 5c is a first graphical illustration of high confidence in an embodiment of the invention;
FIG. 6 is a diagram illustrating a first graph of coordinates and graphs combined, in accordance with an embodiment of the present invention;
FIG. 7 is a first graphical illustration of displaying confidence levels in text, in accordance with an embodiment of the present invention;
FIG. 8a is a schematic diagram of a rectangle chart showing the quantitative values and their confidence levels according to an embodiment of the present invention;
FIG. 8b is a schematic diagram of a triangle chart showing the quantitative values and their confidence levels according to an embodiment of the present invention;
FIG. 9 is a diagram of a first graph in combination with a chart showing quantitative values and their confidence levels, in accordance with an embodiment of the present invention;
FIG. 10 is a first graphical illustration of coordinates combined with a graph in accordance with an embodiment of the present invention;
FIG. 11 is a flowchart of a method according to an embodiment of step 2 of FIG. 2;
FIG. 12 is a diagram illustrating a display interface according to an embodiment of the invention;
FIG. 13 is a flowchart of a method according to an embodiment of step 2 in FIG. 2.
Examples of the invention
The present invention will be described in further detail with reference to the following detailed description and accompanying drawings. Wherein like elements in different embodiments are numbered with like associated elements. In the following description, numerous details are set forth in order to provide a better understanding of the present application. However, those skilled in the art will readily recognize that some of the features may be omitted or replaced with other elements, materials, methods in different instances. In some instances, certain operations related to the present application have not been shown or described in detail in order to avoid obscuring the core of the present application from excessive description, and it is not necessary for those skilled in the art to describe these operations in detail, so that they may be fully understood from the description in the specification and the general knowledge in the art.
Furthermore, the features, operations, or characteristics described in the specification may be combined in any suitable manner to form various embodiments. Also, the various steps or actions in the method descriptions may be transposed or transposed in order, as will be apparent to one of ordinary skill in the art. Thus, the various sequences in the specification and drawings are for the purpose of describing certain embodiments only and are not intended to imply a required sequence unless otherwise indicated where such sequence must be followed.
The numbering of the components as such, e.g., "first", "second", etc., is used herein only to distinguish the objects as described, and does not have any sequential or technical meaning. The term "connected" and "coupled" when used in this application, unless otherwise indicated, includes both direct and indirect connections (couplings).
As shown in fig. 1, the ultrasound imaging apparatus provided by the present invention includes an ultrasound probe 20, a transmitting/receiving circuit 30 (i.e., a transmitting circuit 310 and a receiving circuit 320), a processor 40, a memory 50, and a human-computer interaction device.
The ultrasonic probe 20 includes a transducer (not shown) composed of a plurality of array elements arranged in an array, the plurality of array elements are arranged in a row to form a linear array, or are arranged in a two-dimensional matrix to form an area array, and the plurality of array elements may also form a convex array. The array elements are used for emitting ultrasonic beams according to the excitation electric signals or converting the received ultrasonic beams into electric signals. Each array element can thus be used to perform a mutual transformation of the electrical impulse signal and the ultrasound beam, thus performing a transmission of the ultrasound waves to a target region of human tissue (e.g. the liver in this embodiment) and also to receive echoes of the ultrasound waves reflected back through the tissue. In the ultrasonic detection, which array elements are used for transmitting ultrasonic beams and which array elements are used for receiving ultrasonic beams can be controlled by the transmitting circuit 310 and the receiving circuit 320, or the array elements are controlled to be time-slotted for transmitting ultrasonic beams or receiving echoes of ultrasonic beams. The array elements participating in ultrasonic wave transmission can be simultaneously excited by the electric signals, so that the ultrasonic waves are transmitted simultaneously; or the array elements participating in the ultrasonic wave transmission can be excited by a plurality of electric signals with certain time intervals, so that the ultrasonic waves with certain time intervals are continuously transmitted.
In this embodiment, the user selects an appropriate position and angle by moving the ultrasonic probe 20 to transmit the ultrasonic wave to the liver 10 and receive the echo of the ultrasonic wave returned by the liver 10, and obtains and outputs an electric signal of the echo, where the electric signal of the echo is a channel analog electric signal formed by using the receiving array element as a channel, and carries amplitude information, frequency information, and time information.
The transmitting circuit 310 is configured to generate a transmitting sequence according to the control of the transmitting/receiving sequence control module 410, the transmitting sequence is configured to control some or all of the plurality of array elements to transmit ultrasonic waves to the biological tissue, and the transmitting sequence parameters include the position of the array element for transmission, the number of the array elements, and ultrasonic beam transmitting parameters (such as amplitude, frequency, number of transmissions, transmitting interval, transmitting angle, wave pattern, focusing position, etc.). In some cases, the transmit circuitry 310 is further configured to phase delay the transmitted beams to cause different transmit elements to transmit ultrasound at different times so that each transmitted ultrasound beam can be focused at a predetermined region of interest. In different operation modes, such as a B image mode, a C image mode, and a D image mode (doppler mode), the parameters of the transmit sequence may be different, and the echo signals received by the receiving circuit 320 and processed by subsequent modules and corresponding algorithms may generate a B image reflecting the tissue anatomy, a C image reflecting the tissue anatomy and blood flow information, and a D image reflecting the doppler spectrum image.
The receiving circuit 320 is used for receiving the electrical signal of the ultrasonic echo from the ultrasonic probe 20 and processing the electrical signal of the ultrasonic echo. The receive circuit 320 may include one or more amplifiers, analog-to-digital converters (ADCs), and the like. The data output by the receiving circuit 320 may be output to the beamforming module 420 for processing or to the memory 50 for storage.
The processor 40 is used for a central controller Circuit (CPU), one or more microprocessors, a graphics controller circuit (GPU) or any other electronic components configured to process input data according to specific logic instructions, and may control peripheral electronic components according to the input instructions or predetermined instructions, or perform data reading and/or saving on the memory 50, or may process input data by executing programs in the memory 50, such as performing one or more processing operations on acquired ultrasound data according to one or more working modes, the processing operations including, but not limited to, adjusting or defining the form of ultrasound waves emitted by the ultrasound probe 20, generating various image frames for display on the display 60 of a subsequent human-computer interaction device, or adjusting or defining the content and form displayed on the display 60, or adjusting one or more image display settings (e.g., ultrasound images, etc.) displayed on the display 60, Interface components, locating regions of interest).
The processor 40 includes a transmit/receive sequence control module 410, a beam synthesis module 420, an IQ demodulation module 430, and an image processing module 440.
The beam forming module 420 is connected to the receiving circuit 320 for performing beam forming processing such as corresponding delay and weighted summation on the signals output by the receiving circuit 320, and because the distances from the ultrasonic receiving points in the tested tissue to the receiving array elements are different, the channel data of the same receiving point output by different receiving array elements have delay differences, delay processing is required, the phases are aligned, and weighted summation is performed on different channel data of the same receiving point to obtain the ultrasonic image data after beam forming, and the ultrasonic image data output by the beam forming module 420 is also called as radio frequency data (RF data). The beam forming module 420 outputs the radio frequency data to the IQ demodulation module 430. In some embodiments, the beam forming module 420 may also output the rf data to the memory 50 for buffering or saving, or directly output the rf data to the image processing module 440 for image processing.
The IQ demodulation module 430 removes a signal carrier by IQ demodulation, extracts tissue structure information included in the signal, and performs filtering to remove noise, and the signal obtained at this time is referred to as a baseband signal (IQ data pair). The IQ demodulation module 430 outputs the IQ data pair to the image processing module 440 for image processing.
In some embodiments, the IQ demodulation module 430 further buffers or saves the IQ data pair output to the memory 50, so that the image processing module 440 reads the data from the memory 50 for subsequent image processing.
The image processing module 440 is configured to process the data output by the beam forming module 420 or the data output by the IQ demodulation module 430 to generate a gray-scale image with varying signal intensities within the scanning range, which reflects the anatomical structure inside the tissue, and is referred to as a B-image. The image processing module 440 may output the B image to the display 60 of the human-computer interaction device for display.
The human-computer interaction device is used for performing human-computer interaction, namely receiving input and output visual information of a user; the input of the user can be received by a keyboard, an operating button, a mouse, a track ball and the like, and a touch screen integrated with a display can also be adopted; which outputs visual information using the display 60.
The memory 50 may be a flash memory card, solid state memory, hard disk, or the like.
Based on the ultrasonic imaging device shown in fig. 1, the processing method of the ultrasonic echo signal is shown in fig. 2, and includes the following steps:
The processing of the electrical signal obtained from the echo may include signal processing elements such as analog signal gain compensation, beam synthesis, IQ demodulation, digital signal gain compensation, amplitude calculation, image enhancement, and the like. Specifically, the electrical signal is front-end filtered and amplified (i.e., gain compensated) by an analog circuit, then converted into a digital signal by an analog-to-digital converter (ADC), and the channel data after analog-to-digital conversion is further beam-formed to form scan line data. The data obtained after this stage is completed, i.e. the ultrasound echo signal output by the beamforming module 50, may be referred to as radio frequency signal data, i.e. RF data. After the RF data is acquired, the signal carrier is removed by IQ demodulation, the tissue structure information included in the signal is extracted, and filtering is performed to remove noise, and the signal acquired at this time is a baseband signal (IQ data). All processing required in the rf signal processing to the baseband signal may be collectively referred to as mid-end processing. Finally, the intensity of the baseband signal is obtained, and the intensity level of the baseband signal is subjected to logarithmic compression and gray scale conversion to obtain the ultrasonic image, wherein the completed processing can be collectively called back-end processing.
The ultrasonic echo signal of the present invention is data obtained by performing one-stage or multi-stage signal processing on an electric signal obtained based on an echo of an ultrasonic wave, that is, the ultrasonic echo signal may be data generated in any one of the signal processing links. For example, the ultrasound echo signal may be an analog or digital ultrasound echo signal before beam synthesis, or may be data after beam synthesis, such as an ultrasound echo signal output by the beam synthesis module 50, or may be data after IQ demodulation, such as an ultrasound echo signal output by the IQ demodulation module 60, or may be ultrasound image data obtained by further processing based on the data after beam synthesis or the data after IQ demodulation, or the like.
As described above, in this embodiment, the ultrasound echo signal may be a signal obtained by beamforming an echo electric signal, and specifically may be data output by the beamforming module 420, data output by the IQ demodulation module 430, or ultrasound image data processed by the image processing module 440. The processor 40 analyzes the ultrasonic echo signal to obtain a quantitative value of the severity of fatty liver or liver fibrosis and the reliability of the quantitative value, and includes: the signals of any signal processing link which processes the electric signals to obtain the ultrasonic images (gray level images) are analyzed to obtain the quantitative value of the severity of the fatty liver or the hepatic fibrosis and the reliability of the quantitative value.
As shown in fig. 3, the image processing module 440 obtains the quantitative value of the severity of fatty liver or liver fibrosis and the reliability of the quantitative value includes the following steps:
The embodiment specifically takes the example that the ultrasound echo signal is an ultrasound image, where the ultrasound image may be a three-dimensional ultrasound image, an ultrasound B image, an ultrasound C image, and the like, and the embodiment takes the ultrasound B image as an example for explanation. The image processing module 440 may, in addition to the quantitative value of the severity of fatty liver or liver fibrosis and the reliability of the quantitative value obtained by the above method, automatically analyze the ultrasound image to obtain a quantitative value reflecting the severity of fatty liver or liver fibrosis, for example, obtain a texture parameter and a sound attenuation parameter of the ultrasound image, and determine the quantitative value according to the texture parameter and the sound attenuation parameter; and obtaining the reliability of the quantitative value according to the image quality of the ultrasonic image. If the quality of the ultrasonic image is poor, the quantitative value obtained by automatic analysis is definitely low, and the reliability is low, so that the reliability can be accurately obtained.
Obtaining a quantitative value reflecting the severity of fatty liver or liver fibrosis is far from sufficient because doctors usually consider that the quantitative value is hundreds of accurate and actually the hundreds of accurate quantitative value is difficult to achieve, so the method focuses on the confidence level of the quantitative value through calculation, so that the doctors can master the confidence level of the quantitative value.
In one embodiment, as shown in fig. 5, the image processing module 440 provides a first graphic a, which may be obtained from a memory or an external device, or may be generated by the image processing module 440; displaying a first graph A on a display interface of the display 50, identifying a quantitative value with a quantitative index of the first graph A, and identifying a reliability with a qualitative index of the first graph A. The first image a may be various regular or irregular geometric figures, and in this embodiment, the first image a is a schematic diagram of a liver, so as to facilitate visual display of the degree of fatty liver and the reliability thereof. The quantization index includes a quantitative value and its range, and at least one of a pattern size, a filling area, and a number of filled pattern blocks, as shown in fig. 5, the quantization index of the first pattern a includes the filling area (gray area in the figure), the quantitative value (2.4), and its range (0-4) of the first image a. The larger the filling area, the more severe the fatty liver. From the perspective of a doctor, the severity of fatty liver or hepatic fibrosis can be known at a glance basically, and the quantitative value of 2.4 (moderate) can be known by further looking at the numerical value, so that the method is very convenient and intuitive. In addition to the filling area of fig. 5, the quantization index may also represent a quantitative value using a line segment, as shown in fig. 6 and 7.
The qualitative index comprises at least one of line color, filling pattern block size, filling pattern block number, characters, letters and numbers; fig. 5 shows the filling color (grey), the darker the grey the higher the confidence level, and fig. 5a-c show the three cases of low confidence level, medium confidence level and high confidence level, respectively, which are also clear. In fig. 6, the qualitative index is the size of the filled tile, and with the aid of the coordinates, it can be seen that the confidence level of the qualitative value in fig. 6 is medium.
In one embodiment, as shown in fig. 7, the image processing module 440 displays a first graph a on the display interface of the display 50, identifies a quantitative value with a quantitative index of the first graph a, and identifies a value of reliability on the first graph a. In fig. 7, the reliability is directly displayed in the form of characters, but it is needless to say that a specific numerical value of the reliability may be further displayed.
In addition to the above illustration in the liver diagram, the illustration may also be in the form of a graph. In one embodiment, as shown in fig. 8a, the image processing module 440 displays a chart for showing the quantitative values and the reliability on the display interface of the display 50, where a first axis of the chart is the quantitative value and a second axis is the reliability. The chart can be of various geometric shapes, and the coordinate axes are not limited to the conventional vertical coordinate axes. As shown in fig. 8a, the horizontal axis represents a quantitative value of the severity of fatty liver, which is more severe toward the right; the vertical axis represents the confidence level of the fatty liver quantitative value, and the confidence level of the quantitative value is higher as the value goes up, the quantitative value is 2.8, and the confidence level is middle. As shown in fig. 8b, the transverse axis of the pyramid represents the quantitative value of the fatty liver severity, the longitudinal axis represents the reliability of the quantitative value of the fatty liver, and the pyramid sequentially represents the severity of the fatty liver from normal to mild to moderate to severe (severe) from left to right; the pyramid sequentially represents the quantitative values of the fatty liver from the bottom to the top of the tower, the reliability is from low to high, the quantitative value in the graph is 2.6, and the reliability is high. Similarly, for the convenience of highlighting, a geometric figure may also be established in the graph according to a coordinate system, such as a rectangle in fig. 8a and a triangle in fig. 8b, a quantitative value is identified by a quantitative index of the geometric figure, and a reliability is identified by a qualitative index of the geometric figure, which are already described in the above embodiments and are not repeated herein.
Of course, the first graph and the graph may also be displayed in combination, as shown in fig. 9, in an embodiment, the image processing module 440 displays a first graph a and a first coordinate axis D on a display interface of the display 50, where the qualitative indicator of the first graph a identifies the confidence level, and the position of the first graph a corresponding to the first coordinate axis D identifies the quantitative value. The first graph A and the first coordinate axis D can be connected through straight lines, so that specific quantitative values can be conveniently positioned on the coordinate axes; an arrow pointing from the first graphic a may also be used to the first axis D in order to locate a specific quantitative value on the axis. The first graph a has the qualitative indicators described above to identify confidence. Fig. 6 is actually the expression, but the first coordinate axis is attached to the liver diagram, but as shown in fig. 6, a second coordinate axis may be provided, the second coordinate axis moves along with the quantitative value, and the reliability is indicated by the intersection point of the graph B and the second coordinate axis. As shown in fig. 10, the first coordinate axis and the second coordinate axis may also be respectively disposed at adjacent both sides of the first image a.
The above embodiment describes a scheme for simultaneously displaying a quantitative value and its reliability, based on the above embodiment, when displaying the quantitative value, the reliability is hidden (not displayed), and after receiving a preset instruction input by a user, the human-computer interaction device simultaneously displays the quantitative value and its reliability, that is, the hidden reliability is displayed, and the final effect is still as shown in fig. 5 to 10, which is not described again.
In conclusion, the method aims at the severity of the fatty liver or the hepatic fibrosis, the reliability of the quantitative value is calculated on the basis of the quantitative value of the severity of the fatty liver or the hepatic fibrosis, and the two parameters of the quantitative value and the reliability are displayed in a combined two-dimensional visualization manner, so that accurate and comprehensive reference information is provided for doctors, and the diagnosis accuracy of the doctors is improved.
In addition, the foregoing refers to a method of calculating a quantitative value and its confidence level: acquiring texture parameters and acoustic attenuation parameters of the ultrasonic image, and determining quantitative values according to the texture parameters and the acoustic attenuation parameters; then, the reliability of the quantitative value is obtained from the image quality of the ultrasound image (as shown in fig. 11). The following will specifically explain this process.
The processor 40 processes the acquired ultrasound echo data to obtain texture parameters and acoustic attenuation parameters of the liver 10, and determines quantitative values of the severity of fatty liver or liver fibrosis of the liver 10 according to the texture parameters and the acoustic attenuation parameters. Taking the ultrasound echo data as an ultrasound image, the processor 40 processes the ultrasound image of the liver 10, determines some relevant parameters of the liver 10 in the ultrasound image, such as a texture parameter and a sound attenuation parameter of the liver 10, and then determines a quantitative value of the severity of fatty liver or liver fibrosis of the liver 10 according to the texture parameter and the sound attenuation parameter of the liver 10, so as to perform a visual quantitative analysis on the severity of fatty liver or liver fibrosis. The ultrasound images obtained by the processor 40 and the relevant parameters of the liver 10 may be stored in a memory 50.
The method for calculating the quantitative value and the reliability thereof in the embodiment of fig. 11 of the present invention will be described in detail below.
At step 210', the processor 40 obtains texture parameters and acoustic attenuation parameters of the ultrasound image.
After the processor 40 obtains the ultrasound image of the liver 10, texture parameters and acoustic attenuation parameters in the ultrasound image are further obtained. Wherein, an optional implementation: and determining the texture parameters of the ultrasonic image according to the ultrasonic image and a first preset model, wherein the first preset model is a model obtained by training according to historical data.
First, a process of establishing a first preset model is described, which includes:
step 2101, historical data is obtained.
Wherein the historical data comprises analysis data of the severity of fatty liver or liver fibrosis of a plurality of livers. Optionally, the analysis data comprises physician diagnostic data for a plurality of livers and/or pathological diagnostic data for a plurality of livers. For example, the physician diagnostic data may include diagnostic results for the plurality of livers, such as a classification of the severity of fatty liver or liver fibrosis: normal, mild fatty liver, moderate fatty liver, severe fatty liver, etc. And the pathological diagnosis data may be data obtained by pathological analysis of the liver acquired by external surgery.
Step 2102, the first preset model is established based on the historical data.
And training according to the historical data and a preset algorithm to obtain the first preset model, wherein the preset algorithm can comprise deep learning or machine learning and other algorithms.
In one possible embodiment of the present application, the processor 40 may directly process the whole ultrasound image, that is, the ultrasound image is input into the first preset model as an input parameter to obtain a characteristic image; the texture characteristic analysis is then performed on the feature image to obtain texture parameters of the liver 10. Alternatively, the processor 40 inputs the ultrasound image as an input parameter into the first predetermined model to obtain the texture parameter of the liver 10.
In another possible embodiment, the processor 40 determines a region to be analyzed in the ultrasound image, i.e., a region of interest, wherein the region of interest may include the entire liver region or a part of the liver region; then, inputting the image of the area to be analyzed as an input parameter into the first preset model to obtain a characteristic image; the texture characteristic analysis is then performed on the feature image to obtain texture parameters of the liver 10. Alternatively, the processor 40 uses the image of the region to be analyzed as an input parameter to input into the first preset model, so as to obtain the texture parameter of the liver 10.
Optionally, in the embodiment of the present application, there are multiple ways to obtain the acoustic attenuation parameter of the ultrasound image, which are illustrated as follows:
1. and determining the acoustic attenuation parameters of the ultrasonic image through the signal amplitude value of the echo of the ultrasonic wave in the preset depth range of the area to be analyzed.
Firstly, determining a region to be analyzed, namely an interested region, in an ultrasonic image, and determining the acoustic attenuation parameter of the region to be analyzed according to the signal amplitude value of the echo of the ultrasonic wave corresponding to the region to be analyzed at a preset depth, wherein the depth is the distance between the tissue in the region to be analyzed and a probe. For example, the acoustic attenuation parameter may be a ratio of a signal amplitude value of an echo of the ultrasonic wave at a first depth of the region to be analyzed to a signal amplitude value of an echo of the ultrasonic wave at a second depth of the region to be analyzed, wherein the first depth may be a near-field depth and the second depth may be a far-field depth, or the first depth may be a far-field depth and the second depth may be a near-field depth, which is not particularly limited herein.
2. And determining the sound attenuation parameters of the ultrasonic image according to the gray values of the image of the region to be analyzed in the preset depth range.
Firstly, a region to be analyzed, namely a region of interest, in an ultrasound image is determined, wherein the region of interest can be automatically determined by a system or manually input by a user, and an acoustic attenuation parameter of the region to be analyzed is determined according to a gray value corresponding to the image of the region to be analyzed in a preset depth range, wherein the depth is the distance between tissue in the region to be analyzed and a probe. For example, the sound attenuation parameter may be a ratio of a gray value corresponding to the image of the region to be analyzed at the first depth to a gray value corresponding to the image of the region to be analyzed at the second depth.
In step 220', the processor 40 determines quantitative fatty liver parameters of the liver 10 based on the texture parameters and the acoustic attenuation parameters.
Optionally, the processor 40 determines a fatty liver quantification parameter of the liver 10 based on the texture parameter and the acoustic attenuation parameter.
In particular, the processor determines the quantitative value of the liver 10 based on the texture parameter, the acoustic attenuation parameter and a second preset model. The second preset model may be a model obtained by training according to an algorithm such as deep learning or machine learning, and the quantitative value of the liver 10 is obtained by inputting the texture parameter and the acoustic attenuation parameter into the second preset model. Optionally, the second preset model may also be in a functional relationship, for example, the functional relationship is a weight relationship, the weight relationship includes a weight coefficient, and the weight coefficient may be default to the system or user-defined, and is not limited herein. For example, if the texture parameter is a, the sound attenuation parameter is B, and the weighting factor is 4: 6, then the quantitative value is a × 0.4+ B × 0.6. Optionally, the processor 40 may also average the texture parameter and the acoustic attenuation parameter to obtain the quantitative value of the liver 10, for example, if the texture parameter is a, the acoustic attenuation parameter is B, that is, if the weight coefficient is 1: 1, the quantitative value is a × 0.5+ B × 0.5.
In one embodiment of the present application, the ultrasound image and the corresponding acoustic attenuation parameter and texture parameter are displayed simultaneously with the display of the quantitative values and their confidence levels.
Illustratively, as shown in fig. 12, an ultrasound image 701, areas to be analyzed 702 and 703 are displayed in a display; the region to be analyzed 702 is displayed distinctively by shading or color or frame-like. 703 are the quantitative values and their confidence levels graphically displayed as described above, and are shown in fig. 5-10.
In step 230', the processor 40 obtains the confidence level of the quantitative value according to the image quality of the ultrasound image. The image quality can be evaluated based on the overall brightness of the ultrasound image, artifacts, etc. For example, matching the ultrasound image with a preset standard image information base to obtain a matching degree with a standard image in the standard image information base; the matching degree reflects the image quality, and the higher the matching degree is, the higher the image quality is, the higher the credibility is.
Of course, in some embodiments, the quantitative value calculation may also be performed by using data other than the ultrasound image in the ultrasound echo data, for example, calculating the quantitative value from the data output by the receiving circuit 320, calculating the quantitative value from the data output by the beam combining module 420, or calculating the quantitative value from the data output by the IQ demodulation module 430, or the like, in other words, the above-mentioned embodiment of calculating the quantitative value from the ultrasound image may be extended to calculating the quantitative value from the ultrasound echo data, and the steps thereof are as shown in fig. 13. Since the specific process of calculating the quantitative value and the reliability thereof according to the ultrasound echo data is the same as the process of calculating according to the ultrasound image, it is not described herein again.
Those skilled in the art will appreciate that all or part of the functions of the various methods in the above embodiments may be implemented by hardware, or may be implemented by computer programs. When all or part of the functions of the above embodiments are implemented by a computer program, the program may be stored in a computer-readable storage medium, and the storage medium may include: a read only memory, a random access memory, a magnetic disk, an optical disk, a hard disk, etc., and the program is executed by a computer to realize the above functions. For example, the program may be stored in a memory of the device, and when the program in the memory is executed by the processor, all or part of the functions described above may be implemented. In addition, when all or part of the functions in the above embodiments are implemented by a computer program, the program may be stored in a storage medium such as a server, another computer, a magnetic disk, an optical disk, a flash disk, or a removable hard disk, and may be downloaded or copied to a memory of a local device, or may be version-updated in a system of the local device, and when the program in the memory is executed by a processor, all or part of the functions in the above embodiments may be implemented.
Reference is made herein to various exemplary embodiments. However, those skilled in the art will recognize that changes and modifications may be made to the exemplary embodiments without departing from the scope hereof. For example, the various operational steps, as well as the components used to perform the operational steps, may be implemented in differing ways depending upon the particular application or consideration of any number of cost functions associated with operation of the system (e.g., one or more steps may be deleted, modified or incorporated into other steps).
Additionally, as will be appreciated by one skilled in the art, the principles herein may be reflected in a computer program product on a computer readable storage medium, which is pre-loaded with computer readable program code. Any tangible, non-transitory computer-readable storage medium may be used, including magnetic storage devices (hard disks, floppy disks, etc.), optical storage devices (CD-ROMs, DVDs, Blu Ray disks, etc.), flash memory, and/or the like. These computer program instructions may be loaded onto a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions which execute on the computer or other programmable data processing apparatus create means for implementing the functions specified. These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including means for implementing the function specified. The computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified.
While the principles herein have been illustrated in various embodiments, many modifications of structure, arrangement, proportions, elements, materials, and components particularly adapted to specific environments and operative requirements may be employed without departing from the principles and scope of the present disclosure. The above modifications and other changes or modifications are intended to be included within the scope of this document.
The foregoing detailed description has been described with reference to various embodiments. However, one skilled in the art will recognize that various modifications and changes may be made without departing from the scope of the present disclosure. Accordingly, the disclosure is to be considered in an illustrative and not a restrictive sense, and all such modifications are intended to be included within the scope thereof. Also, advantages, other advantages, and solutions to problems have been described above with regard to various embodiments. However, the benefits, advantages, solutions to problems, and any element(s) that may cause any element(s) to occur or become more pronounced are not to be construed as a critical, required, or essential feature or element of any or all the claims. As used herein, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, system, article, or apparatus. Furthermore, the term "coupled," and any other variation thereof, as used herein, refers to a physical connection, an electrical connection, a magnetic connection, an optical connection, a communicative connection, a functional connection, and/or any other connection.
Those skilled in the art will recognize that many changes may be made to the details of the above-described embodiments without departing from the underlying principles of the invention. Accordingly, the scope of the invention should be determined from the following claims.
Claims (31)
- An ultrasound imaging apparatus, comprising:the ultrasonic probe is used for transmitting ultrasonic waves to a target area, receiving echoes of the ultrasonic waves and obtaining electric signals of the echoes;the transmitting/receiving control circuit is used for controlling the ultrasonic probe to transmit ultrasonic waves to a target area and receive echoes of the ultrasonic waves;a display for outputting visual information;a processor to:obtaining an ultrasonic echo signal according to the electric signal, and analyzing the ultrasonic echo signal to obtain a quantitative value of the severity of the fatty liver or the hepatic fibrosis of the liver and the reliability of the quantitative value; andproviding a liver schematic diagram, identifying the quantitative value as one index of the liver schematic diagram, identifying the reliability as another index of the liver schematic diagram, and visually displaying the quantitative value and the reliability on a display interface of a display through the identified liver schematic diagram.
- The ultrasound imaging device of claim 1, wherein the processor visually displays the quantitative value and the confidence level through the identified liver schematic on a display interface of a display comprises:and displaying the liver schematic diagram on a display interface of a display, identifying the quantitative value by using a quantitative index of the liver schematic diagram, and identifying the reliability by using a qualitative index of the liver schematic diagram.
- The ultrasound imaging device of claim 1, wherein the processor visually displays the quantitative value and the confidence level through the identified liver schematic on a display interface of a display comprises:and displaying the liver schematic diagram on a display interface of a display, identifying the quantitative value by using a quantitative index of the liver schematic diagram, and identifying the value of the reliability on the liver schematic diagram.
- The ultrasound imaging device of claim 2 or 3, wherein the quantification index comprises the quantification value and further comprises at least one of a size, a fill area, and a number of filled tiles.
- The ultrasound imaging device of claim 2, wherein the qualitative indicators include at least one of line color, fill pattern, fill tile size, number of fill tiles, text, letters, numbers.
- The ultrasound imaging device of claim 1, wherein the processor visually displays the quantitative value and the confidence level through the identified liver schematic on a display interface of a display comprises:displaying the liver diagram on a display interface of a display, identifying the quantitative value by a filling area of the liver diagram, and identifying the reliability by a filling color of the liver diagram.
- An ultrasound imaging apparatus, comprising:the ultrasonic probe is used for transmitting ultrasonic waves to a target area, receiving echoes of the ultrasonic waves and obtaining electric signals of the echoes;the transmitting/receiving control circuit is used for controlling the ultrasonic probe to transmit ultrasonic waves to a target area and receive echoes of the ultrasonic waves;a display for outputting visual information;a processor to:obtaining an ultrasonic echo signal according to the electric signal, and analyzing the ultrasonic echo signal to obtain a quantitative value reflecting the severity of liver attribute analysis and the reliability of the quantitative value; andand displaying the quantitative value and the credibility on a display interface of a display.
- The ultrasound imaging device of claim 7, wherein the processor displaying the quantitative value and the trustworthiness on a display interface of a display comprises:simultaneously displaying the quantitative value and the credibility on a display interface of a display; alternatively, the first and second electrodes may be,and displaying the quantitative value on a display interface of a display, and simultaneously displaying the quantitative value and the reliability after receiving a preset instruction input by a user.
- The ultrasound imaging device of claim 7, wherein the processor displaying the quantitative value and the trustworthiness on a display interface of a display comprises:displaying the quantitative value and the credibility in a graphical manner on a display interface of a display.
- The ultrasound imaging device of claim 7, wherein the processor displaying the quantitative value and the trustworthiness on a display interface of a display comprises:and taking the quantitative value as one dimension and the credibility as the other dimension, and visually displaying on a display interface of a display.
- The ultrasound imaging device of claim 10, wherein the processor takes the quantitative value as one dimension and the confidence level as another dimension, and the visually displaying on the display interface of the display comprises:displaying a first graph on a display interface of a display, identifying the quantitative value by a quantitative index of the first graph, and identifying the reliability by a qualitative index of the first graph;or displaying a first graph on a display interface of the display, identifying the quantitative value by using the quantitative index of the first graph, and identifying the value of the reliability on the first graph.
- The ultrasound imaging device of claim 11, wherein the quantitative indicators comprise the quantitative values and further comprise at least one of size, fill area, and number of filled tiles, and wherein the qualitative indicators comprise at least one of line color, fill pattern, size of filled tiles, number of filled tiles, text, letters, and numbers.
- The ultrasound imaging apparatus of claim 11, wherein the first graphic is a schematic representation of a liver.
- The ultrasound imaging device of claim 10, wherein the processor takes the quantitative value as one dimension and the confidence level as another dimension, and the visually displaying on the display interface of the display comprises:and displaying a chart for displaying the quantitative values and the reliability on a display interface of a display, wherein a first coordinate axis of the chart is the quantitative values, and a second coordinate axis of the chart is the reliability.
- The ultrasound imaging device of claim 10, wherein the processor takes the quantitative value as one dimension and the confidence level as another dimension, and the visually displaying on the display interface of the display comprises:and displaying a first graph and a first coordinate axis on a display interface of the display, wherein the qualitative index of the first graph identifies the credibility, and the position of the first graph corresponding to the first coordinate axis identifies the quantitative value.
- The ultrasound imaging device of claim 7, wherein the liver attribute analysis comprises fatty liver or liver fibrosis.
- The ultrasonic imaging apparatus of claim 1 or 16, wherein the processor analyzes the ultrasonic echo signal, and obtaining a quantitative value of the severity of hepatic steatosis or liver fibrosis and the confidence of the quantitative value comprises:automatically analyzing the ultrasonic echo signals by a machine learning method to obtain the classification result of the severity of fatty liver or hepatic fibrosis and the probability of the classification result;according to the classification result and the probability thereof, carrying out quantitative calculation on the severity of the fatty liver or the hepatic fibrosis to obtain a quantitative value reflecting the severity of the fatty liver or the hepatic fibrosis;and calculating the reliability of the quantitative value according to the probability of the classification result.
- The ultrasonic imaging apparatus of claim 1 or 16, wherein the ultrasonic echo signal is an ultrasonic image; the processor processes the ultrasonic echo signal to obtain a quantitative value of the severity of fatty liver or liver fibrosis and the reliability of the quantitative value, and the method comprises the following steps:and automatically analyzing the ultrasonic image to obtain a quantitative value reflecting the severity of fatty liver or hepatic fibrosis, and obtaining the reliability of the quantitative value according to the image quality of the ultrasonic image.
- The ultrasound imaging apparatus of claim 1 or 7, wherein the processor displays the quantitative value and the confidence level on a display interface of a display, while also displaying an ultrasound image of the liver.
- The ultrasound imaging device of claim 17, wherein the classification result comprises a plurality of classifications, one for each probability; the processor carries out quantitative calculation on the severity of the fatty liver or the hepatic fibrosis according to the classification result and the probability thereof, and the obtaining of the quantitative value reflecting the severity of the fatty liver or the hepatic fibrosis comprises the following steps:and taking the probability as weight, and performing weighted calculation on at least two classifications to obtain a quantitative value reflecting the severity of the fatty liver or the hepatic fibrosis.
- The ultrasound imaging device of claim 17, wherein the processor calculating the confidence level of the quantitative value according to the probability of the classification result comprises:according to the magnitude of each probability, at least adding the probabilities with the large values of the first two values to obtain the value of the reliability;or, according to the magnitude of each probability, at least the probabilities with the first two values being larger are subjected to statistical analysis, the relationship between the analysis result and a plurality of preset reliability intervals is judged, and the reliability corresponding to the corresponding preset reliability interval is used as the reliability of the quantitative value.
- The ultrasound imaging device of claim 17, wherein the processor is further configured to perform signal processing on the electrical signal to obtain the ultrasound echo signal, the signal processing including one or more of: gain compensation, analog-to-digital conversion, beam synthesis, quadrature demodulation, baseband signal intensity calculation and gray level logarithmic compression.
- A method for processing an ultrasonic echo signal, comprising:acquiring an ultrasonic echo signal of the liver;analyzing the ultrasonic echo signals, identifying interested image signs contained in the ultrasonic echo signals, and obtaining a quantitative value reflecting the interested degree of the interested image signs and the credibility of the quantitative value; andand taking the quantitative value as one dimension, and taking the credibility as the other dimension, and performing related display on the interest degree of the image characteristics of interest on a display interface.
- The method of claim 23, wherein using the quantitative value as one dimension and the confidence level as another dimension, the displaying on the display in association comprises:displaying a first graph on a display interface of a display, identifying the quantitative value by a quantitative index of the first graph, and identifying the reliability by a qualitative index of the first graph;or displaying a first graph on a display interface of the display, identifying the quantitative value by using the quantitative index of the first graph, and displaying the value of the reliability on the first graph.
- The method of claim 24, wherein the quantization index comprises the quantitative value, further comprising at least one of a size, a fill area, a number of filled tiles;and/or the qualitative index comprises at least one of line color, filling pattern block size, filling pattern block number, characters, letters and numbers.
- The method of claim 24, wherein the first graphic is a schematic representation of a liver.
- The method of claim 23, wherein associating the quantitative value as one dimension and the trustworthiness as another dimension for display on a display interface comprises:and displaying a chart for displaying the quantitative values and the reliability on a display interface, wherein a first coordinate axis of the chart is the quantitative values, and a second coordinate axis of the chart is the reliability.
- The method of claim 23, wherein associating the quantitative value as one dimension and the trustworthiness as another dimension for display on a display interface comprises:and displaying a first graph and a first coordinate axis on a display interface of the display, wherein the qualitative index of the first graph identifies the credibility, and the position of the first graph corresponding to the first coordinate axis identifies the quantitative value.
- The method of claim 23, wherein identifying an image feature of interest contained therein and deriving a quantitative value reflecting a degree of interest of the image feature of interest and a confidence in the quantitative value comprises:classifying the identified interested image signs through a machine learning method to obtain interested degree classification results of the interested image signs and the probability of the classification results;according to the classification result and the probability thereof, carrying out quantitative calculation on the interest degree of the interest image sign to obtain a quantitative value reflecting the interest degree of the interest image sign; and calculating the reliability of the quantitative value according to the probability of the classification result.
- The method of claim 23, wherein the ultrasound echo signal is an ultrasound image; identifying an image feature of interest contained therein, and obtaining a quantitative value reflecting a degree of interest of the image feature of interest and a confidence of the quantitative value comprises:and processing the ultrasonic image to obtain a quantitative value reflecting the interest degree of the interest image, and obtaining the reliability of the quantitative value according to the image quality of the ultrasonic image.
- The method of claim 29, wherein calculating the confidence level for the quantitative value based on the probability of the classification result comprises:according to the magnitude of each probability, at least adding the probabilities with the large values of the first two values to obtain the value of the reliability;or, according to the magnitude of each probability, at least the probabilities with the first two values being larger are subjected to statistical analysis, the relationship between the analysis result and a plurality of preset reliability intervals is judged, and the reliability corresponding to the corresponding preset reliability interval is used as the reliability of the quantitative value.
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