Ultrasonic equipment and fatty liver evaluation device

Abstract

The invention relates to ultrasonic equipment, which is applied to the technical field of ultrasound. A transmitting and receiving control circuit; a man-machine interaction device; the processor is used for controlling the first operation interface to display a multi-parameter joint control; responding to a first operation on the multi-parameter joint control and configuring a multi-parameter joint model; wherein the configuration of the multi-parameter joint model comprises the configuration of a plurality of parameters, the configuration of an input mode, the configuration of the model and the configuration of an output mode, and the plurality of parameters comprise a human body quality index, a waistline and at least one fatty liver ultrasonic quantitative parameter; calling a multi-parameter joint model, respectively acquiring a human body quality index, a waistline and at least one fatty liver ultrasonic quantitative parameter according to an input mode, and inputting into the model to obtain a fatty liver evaluation result; and outputting according to the output mode. Based on the multi-parameter combined model, multi-parameter combined diagnosis can be carried out on ultrasonic equipment according to needs, and the multi-parameter combined diagnosis requirement of fatty liver is met.

Description

Technical Field

[0001] The present application relates to the field of ultrasonic imaging technology, and in particular to an ultrasonic device and a fatty liver assessment apparatus. Background Art

[0002] Fatty liver disease is a condition characterized by excessive fat accumulation within liver cells, caused by obesity, alcoholism, diabetes, and other factors. Persistent fatty liver disease can lead to steatohepatitis, liver fibrosis, cirrhosis, and liver cancer. Due to its high global prevalence and significant threat to human health, it has garnered widespread clinical attention and has become a standard component of routine liver examinations. Among these, non-alcoholic fatty liver disease (NAFLD) is a common chronic liver disease and the leading cause of abnormal liver biochemical markers in current health checkups.

[0003] Currently, a wide variety of clinical diagnostic methods exist for fatty liver disease, but the most common method is qualitative diagnosis based on ultrasound image features. However, this method is limited by operator experience and is non-quantitative, making it less specific for fatty liver disease. Alternatively, there are methods that use a combination of multiple parameters to diagnose fatty liver disease, but current ultrasound equipment does not support this combination. Therefore, this method is typically performed offline, thus failing to meet diagnostic requirements. Therefore, new technical solutions are needed. Summary of the Invention

[0004] The main technical problem solved by this application is that the diagnosis of fatty liver cannot meet the diagnostic needs.

[0005] According to a first aspect, an embodiment provides an ultrasound device, comprising:

[0006] An ultrasonic probe, configured to transmit ultrasonic waves to a region of interest within biological tissue, and receive echoes of the ultrasonic waves to obtain ultrasonic echo signals;

[0007] a transmitting and receiving control circuit, configured to control the ultrasonic probe to transmit ultrasonic waves to the region of interest and receive the ultrasonic echo signals;

[0008] A human-computer interaction device for receiving user input and outputting visual information;

[0009] Processor for:

[0010] Controlling the human-computer interaction device to display a first operation interface, and displaying a multi-parameter joint control on the first operation interface;

[0011] Acquiring a first operation on the multi-parameter joint control based on the human-computer interaction device, and configuring a multi-parameter joint model in response to the first operation; wherein configuring the multi-parameter joint model includes configuring multiple parameters, configuring input methods corresponding to the multiple parameters, configuring a model for combining the multiple parameters, and configuring an output method for an output result of the model, wherein the multiple parameters include at least a body mass index, a waist circumference, and at least one ultrasonic quantitative parameter of fatty liver;

[0012] The multi-parameter joint model is called when a preset condition is met, and the body mass index, waist circumference, and at least one ultrasonic quantitative parameter of fatty liver of the subject are respectively obtained according to the input method corresponding to each parameter, and the parameters are input into the model, so that the model obtains a fatty liver assessment result of the subject based on the body mass index, waist circumference, and at least one ultrasonic quantitative parameter of fatty liver of the subject;

[0013] The fatty liver assessment result is obtained, and the fatty liver assessment result is output according to the output method.

[0014] In some embodiments, the processor is further configured to:

[0015] Acquiring a second operation on the multi-parameter joint control based on the human-computer interaction device, where the first operation and the second operation are the same operation or different operations;

[0016] In response to the second operation, the human-computer interaction device is controlled to display a second operation interface, and a multi-parameter joint setting sub-interface is displayed on the second operation interface, wherein the multi-parameter joint setting sub-interface includes at least one of the following:

[0017] a first setting area for configuring a multi-parameter joint model; in response to an operation on the first setting area, configuring parameter types of the multiple parameters, the parameter types including at least body mass index, waist circumference, and at least one ultrasonic quantitative parameter of fatty liver; and / or configuring a model type of the model;

[0018] A second setting area for configuring a multi-parameter joint model; in response to an operation on the second setting area, configuring the input mode corresponding to the multiple parameters;

[0019] A third setting area is used to configure a multi-parameter joint model; in response to an operation on the third setting area, the output mode of the fatty liver assessment result is configured.

[0020] In some embodiments, the first setting area includes a plurality of parameter type selection controls and / or model type selection controls; wherein each of the parameter type selection controls corresponds to one of the parameters, and each of the model type selection controls corresponds to the model;

[0021] In response to the operation of the parameter type selection control, the parameter type of the parameter corresponding to the parameter type selection control is determined; in response to the operation of the model type selection control, the model type of the model corresponding to the model type selection control is determined.

[0022] In some embodiments, the first setting area further includes a parameter quantity selection control. In response to an operation on the parameter quantity selection control, the parameter quantity of the multiple parameters is configured, and the parameter type selection control corresponding to the parameter quantity is displayed in the first setting area.

[0023] In some embodiments, the second setting area includes a plurality of input selection controls, each of the input selection controls corresponding to one of the parameters;

[0024] In response to the operation of the input selection control, the input method of the parameter corresponding to the input selection control is determined; the input method includes at least one of PACS system input, workstation input, ultrasound scanning input, ultrasound equipment storage data input, and manual input.

[0025] In some embodiments, the processor is further configured to:

[0026] The second setting area also includes an ultrasound scanning control;

[0027] In response to the operation of the ultrasound scanning control, the ultrasound scanning mode is entered and the ultrasound probe is controlled to transmit ultrasound to the liver of the examinee and receive the echo signal of the ultrasound, and the parameters of the ultrasound scanning input are obtained based on the echo signal of the ultrasound.

[0028] In some embodiments, the third setting area includes a plurality of output selection controls, the output mode includes an output statistical mode and / or an output display position, and each of the output selection controls corresponds to one of the output statistical modes or one of the output display positions; wherein the output display position includes an ultrasound scanning interface and a report display page, and the output statistical mode includes a single result display and a multiple result statistical display;

[0029] The output selection control has a selected state and a non-selected state, and in response to an operation on the output selection control, the output selection control switches between the selected state and the non-selected state;

[0030] When the output selection control is in the selected state, the fatty liver assessment result is output in the output statistical mode or output display position corresponding to the output selection control;

[0031] When the output selection control is in the non-selected state, the fatty liver assessment result is not output in the output statistical mode or output display position corresponding to the output selection control.

[0032] In some embodiments, the output mode further includes at least one of an output display mode and a result statistics mode;

[0033] The third setting area also includes multiple mode selection controls, each of which corresponds to one of the output display positions or the multiple result statistical displays; in response to the operation of the mode selection control, the output display mode of the fatty liver assessment result at the corresponding output display position is determined, or the multiple result statistical mode when the fatty liver assessment result is output in the multiple result statistical display is determined.

[0034] In some embodiments, the at least one ultrasonic quantitative parameter of fatty liver includes at least one of acoustic attenuation, liver-kidney ratio, speed of sound, liver texture, and backscatter coefficient.

[0035] In some embodiments, the model type of the model includes at least one of a functional relationship between the multiple parameters, a nomogram, a spider diagram, and a polar diagram.

[0036] In some embodiments, the model obtains a fatty liver assessment result of the subject based on the subject's body mass index, waist circumference, and at least one ultrasonic quantitative parameter of fatty liver, including:

[0037] The model corrects the at least one fatty liver ultrasonic quantitative parameter according to the body mass index and waist circumference of the examinee, and obtains the fatty liver assessment result of the examinee based on the corrected at least one fatty liver ultrasonic quantitative parameter.

[0038] According to a second aspect, an embodiment provides an ultrasound device, comprising:

[0039] An ultrasonic probe, configured to transmit ultrasonic waves to a region of interest within biological tissue, and receive echoes of the ultrasonic waves to obtain ultrasonic echo signals;

[0040] a transmitting and receiving control circuit, configured to control the ultrasonic probe to transmit ultrasonic waves to the region of interest and receive the ultrasonic echo signals;

[0041] A human-computer interaction device for receiving user input and outputting visual information;

[0042] Processor for:

[0043] Controlling the human-computer interaction device to display a first operation interface, and displaying a multi-parameter joint control on the first operation interface;

[0044] Acquiring a first operation on the multi-parameter joint control based on the human-computer interaction device, and configuring a multi-parameter joint model in response to the first operation; wherein configuring the multi-parameter joint model includes configuring a plurality of parameters and configuring a model for combining the plurality of parameters; the plurality of parameters include at least one human physiological parameter related to fatty liver and at least one ultrasonic quantitative parameter of fatty liver;

[0045] The multi-parameter joint model is called when a preset condition is met, the at least one human physiological parameter and the at least one ultrasonic quantitative parameter of fatty liver of the subject are obtained, and the at least one parameter is input into the model, so that the model obtains a fatty liver assessment result of the subject based on the at least one human physiological parameter and the at least one ultrasonic quantitative parameter of fatty liver of the subject;

[0046] Obtain the fatty liver assessment result and output the fatty liver assessment result.

[0047] In some embodiments, the processor is further configured to:

[0048] Acquiring a second operation on the multi-parameter joint control based on the human-computer interaction device, where the first operation and the second operation are the same operation or different operations;

[0049] In response to the second operation, the human-computer interaction device is controlled to display a second operation interface, and a multi-parameter joint setting sub-interface is displayed on the second operation interface, wherein the multi-parameter joint setting sub-interface includes at least:

[0050] Configure a first setting area of a multi-parameter joint model; in response to an operation on the first setting area, configure the parameter types of the multiple parameters, and configure the types of the multiple parameters to be at least one human physiological parameter and at least one fatty liver ultrasound quantitative parameter respectively; and / or configure the model type of the model.

[0051] According to a third aspect, an embodiment provides an ultrasound device, comprising:

[0052] An ultrasonic probe, configured to transmit ultrasonic waves to a region of interest within biological tissue, and receive echoes of the ultrasonic waves to obtain ultrasonic echo signals;

[0053] a transmitting and receiving control circuit, configured to control the ultrasonic probe to transmit ultrasonic waves to the region of interest and receive the ultrasonic echo signals;

[0054] A human-computer interaction device for receiving user input and outputting visual information;

[0055] Processor for:

[0056] Controlling the human-computer interaction device to display a first operation interface, and displaying a multi-parameter joint control on the first operation interface;

[0057] Acquiring a first operation on the multi-parameter joint control based on the human-computer interaction device, and configuring a multi-parameter joint model in response to the first operation; wherein configuring the multi-parameter joint model includes configuring a plurality of parameters and configuring a model for combining the plurality of parameters; the plurality of parameters includes at least one ultrasound quantitative parameter;

[0058] Calling the multi-parameter joint model when a preset condition is met, obtaining the multiple parameters of the examinee, and inputting them into the model, so that the model obtains an evaluation result of the examinee based on the multiple parameters of the examinee;

[0059] Obtain the evaluation result and output the evaluation result.

[0060] According to a fourth aspect, an embodiment provides an ultrasound device, comprising:

[0061] An ultrasonic probe, configured to transmit ultrasonic waves to a region of interest within biological tissue, and receive echoes of the ultrasonic waves to obtain ultrasonic echo signals;

[0062] a transmitting and receiving control circuit, configured to control the ultrasonic probe to transmit ultrasonic waves to the region of interest and receive the ultrasonic echo signals;

[0063] A human-computer interaction device for receiving user input and outputting visual information;

[0064] Processor for:

[0065] controlling the ultrasound probe to transmit ultrasound waves to the liver of the subject, and receiving echo signals of the ultrasound waves, and obtaining at least one ultrasonic quantitative parameter of fatty liver based on the echo signals of the ultrasound waves;

[0066] Obtaining the body mass index and waist circumference of the examinee;

[0067] An assessment result of fatty liver of the examinee is obtained based at least on the body mass index, waist circumference and at least one ultrasonic quantitative parameter of fatty liver of the examinee.

[0068] According to a fifth aspect, an embodiment provides a fatty liver assessment device, comprising:

[0069] A human-computer interaction device for receiving user input and outputting visual information;

[0070] Processor for:

[0071] Controlling the human-computer interaction device to display a first operation interface, and displaying a multi-parameter joint control on the first operation interface;

[0072] Acquiring a first operation on the multi-parameter joint control based on the human-computer interaction device, and configuring a multi-parameter joint model in response to the first operation; wherein configuring the multi-parameter joint model includes configuring multiple parameters, configuring input methods corresponding to the multiple parameters, configuring a model for combining the multiple parameters, and configuring an output method for an output result of the model, wherein the multiple parameters include at least a body mass index, a waist circumference, and at least one ultrasonic quantitative parameter of fatty liver;

[0073] The multi-parameter joint model is called when a preset condition is met, and the body mass index, waist circumference, and at least one ultrasonic quantitative parameter of fatty liver of the subject are respectively obtained according to the input method corresponding to each parameter, and the parameters are input into the model, so that the model obtains a fatty liver assessment result of the subject based on the body mass index, waist circumference, and at least one ultrasonic quantitative parameter of fatty liver of the subject;

[0074] The fatty liver assessment result is obtained, and the fatty liver assessment result is output according to the output method.

[0075] According to a sixth aspect, an embodiment provides a fatty liver assessment device, comprising:

[0076] A human-computer interaction device for receiving user input and outputting visual information;

[0077] Processor for:

[0078] Controlling the human-computer interaction device to display a first operation interface, and displaying a multi-parameter joint control on the first operation interface;

[0079] Acquiring a first operation on the multi-parameter joint control based on the human-computer interaction device, and configuring a multi-parameter joint model in response to the first operation; wherein configuring the multi-parameter joint model includes configuring a plurality of parameters and configuring a model for combining the plurality of parameters; the plurality of parameters include at least one human physiological parameter related to fatty liver and at least one ultrasonic quantitative parameter of fatty liver;

[0080] The multi-parameter joint model is called when a preset condition is met, the at least one human physiological parameter and the at least one ultrasonic quantitative parameter of fatty liver of the subject are obtained, and the at least one parameter is input into the model, so that the model obtains a fatty liver assessment result of the subject based on the at least one human physiological parameter and the at least one ultrasonic quantitative parameter of fatty liver of the subject;

[0081] Obtain the fatty liver assessment result and output the fatty liver assessment result.

[0082] According to a seventh aspect, an embodiment provides a fatty liver assessment device, comprising:

[0083] A human-computer interaction device for receiving user input and outputting visual information;

[0084] Processor for:

[0085] Controlling the human-computer interaction device to display a first operation interface, and displaying a multi-parameter joint control on the first operation interface;

[0086] Acquiring a first operation on the multi-parameter joint control based on the human-computer interaction device, and configuring a multi-parameter joint model in response to the first operation; wherein configuring the multi-parameter joint model includes configuring a plurality of parameters and configuring a model for combining the plurality of parameters; the plurality of parameters includes at least one ultrasound quantitative parameter;

[0087] Calling the multi-parameter joint model when a preset condition is met, obtaining the multiple parameters of the examinee, and inputting them into the model, so that the model obtains an evaluation result of the examinee based on the multiple parameters of the examinee;

[0088] Obtain the evaluation result and output the evaluation result.

[0089] According to the eighth aspect, an embodiment provides a fatty liver assessment device, comprising:

[0090] A human-computer interaction device for receiving user input and outputting visual information;

[0091] Processor for:

[0092] Obtaining at least one ultrasonic quantitative parameter of fatty liver;

[0093] Obtain the examinee's body mass index and waist circumference;

[0094] Obtaining a fatty liver assessment result of the examinee based at least on the body mass index, waist circumference, and at least one ultrasonic quantitative parameter of fatty liver of the examinee;

[0095] The fatty liver assessment result is output.

[0096] According to the ultrasound equipment and fatty liver assessment device of the above embodiment, a multi-parameter joint control is displayed on the first operation interface, and a multi-parameter joint model is configured based on the first operation of the multi-parameter joint control. Configuring the multi-parameter joint model includes configuring multiple parameters, configuring the input methods corresponding to the multiple parameters, configuring the model for combining the multiple parameters, and configuring the output method of the output results of the model. The multiple parameters include at least body mass index, waist circumference, and at least one ultrasonic quantitative parameter for fatty liver. When the multi-parameter joint model is called, the body mass index, waist circumference, and at least one ultrasonic quantitative parameter for fatty liver of the subject are obtained according to the input methods corresponding to the respective parameters, and are input into the model to obtain the fatty liver assessment result of the subject. Since multiple parameters, the input methods corresponding to the multiple parameters, the model, and the output method of the output results of the model can be configured based on the multi-parameter joint model, multi-parameter joint diagnosis can be performed on the ultrasound equipment as needed, and the multi-parameter joint diagnosis requirements of fatty liver can be met. At the same time, multiple parameters include body mass index, waist circumference and at least one ultrasonic quantitative parameter of fatty liver. Since body mass index and waist circumference can reflect the fat level of the human body, they are highly correlated with non-alcoholic fatty liver disease. Therefore, based on body mass index and waist circumference combined with ultrasonic quantitative parameters of fatty liver, fatty liver can be better evaluated to meet the diagnostic needs of fatty liver. BRIEF DESCRIPTION OF THE DRAWINGS

[0097] Figure 1 1 is a schematic structural diagram of an ultrasonic device according to an embodiment;

[0098] Figure 2 is a schematic diagram of a first setting area according to an embodiment;

[0099] Figure 3 is a schematic diagram of a second setting area according to an embodiment;

[0100] Figure 4 is a schematic diagram of a third setting area according to an embodiment;

[0101] Figure 5 This is a schematic diagram of a third setting area in another embodiment. DETAILED DESCRIPTION

[0102] The present application is further described in detail below by means of specific embodiments in conjunction with the accompanying drawings. Similar elements in different embodiments are numbered with associated similar elements. In the following embodiments, many detailed descriptions are provided to enable the present application to be better understood. However, those skilled in the art will readily appreciate that some of the features may be omitted in different circumstances, or may be replaced by other elements, materials, or methods. In some cases, some operations related to the present application are not shown or described in the specification. This is to avoid the core portion of the present application being overwhelmed by excessive descriptions. For those skilled in the art, it is not necessary to describe these related operations in detail, and the related operations can be fully understood based on the description in the specification and the general technical knowledge in the art.

[0103] In addition, the features, operations, or characteristics described in the specification may be combined in any appropriate manner to form various embodiments. Furthermore, the steps or actions in the method description may be reordered or adjusted in a manner readily apparent to those skilled in the art. Therefore, the various sequences in the specification and drawings are provided solely for the purpose of clearly describing a particular embodiment and are not intended to be mandatory, unless otherwise specified.

[0104] The serial numbers assigned to components herein, such as "first," "second," etc., are used solely to distinguish the objects being described and do not convey any sequential or technical meaning. References to "connection" and "coupling" herein, unless otherwise specified, include both direct and indirect connections (couplings).

[0105] Current technologies typically rely on the continuous changes in physical properties of the liver, such as the acoustic energy attenuation rate and ultrasound propagation velocity, caused by increased fatty degeneration. This has led to the development of quantitative ultrasound imaging for fatty liver diagnosis. This technology measures changes in the liver's physical properties, enabling more accurate monitoring of fatty liver disease. Among these, quantitative ultrasound imaging techniques for fatty liver, such as acoustic attenuation imaging, have gained widespread clinical acceptance and application.

[0106] However, the reliability of ultrasound images is limited by the choice of liver scanning and measurement sections. Even with multiple quality control measures, the accuracy of ultrasound quantitative parameters for fatty liver disease is limited. Furthermore, using a single ultrasound quantitative parameter for fatty liver disease inevitably leads to unmeasured results or biased results, a technical limitation inherent in single ultrasound parameter diagnosis.

[0107] In some embodiments of the present application, multiple parameters, input methods corresponding to the multiple parameters, models, and output methods of the output results of the models can be configured based on a multi-parameter joint model, so that multi-parameter joint diagnosis can be performed on the ultrasound equipment as needed to meet the multi-parameter joint diagnosis needs of fatty liver. In addition, non-alcoholic fatty liver disease is related to the body's fat level, among which the body mass index (BMI, usually refers to weight divided by the square of height) and waist circumference (WC, refers to the horizontal circumference through the center of the umbilicus, or the circumference of the midpoint between the two horizontal lines of the lowest point of the rib and the upper edge of the iliac crest) can better reflect the body's fat level. Changes such as increased waist circumference and increased body mass index are highly correlated with non-alcoholic fatty liver disease. Therefore, this combined ultrasonic quantitative parameter of fatty liver based on body mass index and waist circumference can better evaluate fatty liver to meet the diagnostic needs of fatty liver.

[0108] Some embodiments provide an ultrasound device, see Figure 1 The ultrasound device includes an ultrasound probe 10, a transmitting and receiving control circuit, a processor 20, a human-computer interaction device 70 and a memory 80, which will be described in detail below.

[0109] The ultrasonic probe 10 is used to transmit ultrasonic waves toward a region of interest within biological tissue and receive echoes of the ultrasonic waves to obtain ultrasonic echo signals. The ultrasonic probe 10 includes a transducer (not shown) composed of multiple array elements arranged in an array. The array elements are used to transmit ultrasonic waves based on excitation electrical signals or to convert received ultrasonic waves into electrical signals. Therefore, each array element can be used to convert electrical pulse signals into and from ultrasonic waves, thereby transmitting ultrasonic waves to the biological tissue being scanned. It can also be used to receive echoes of ultrasonic waves reflected back from the tissue.

[0110] The transmit and receive control circuit is used to control the ultrasound probe 10 to transmit ultrasonic waves and receive ultrasonic echoes, thereby obtaining ultrasonic echo signals. The transmit and receive control circuit may include a transmit circuit 30 and a receive circuit 40. The transmit circuit 30 is used to activate the ultrasound probe 10 to transmit ultrasonic waves toward the scanned object under the control of the processor 20. The receive circuit 40 is used to receive ultrasonic echoes returned from the scanned object via the ultrasound probe 10 to obtain ultrasonic echo signals and may also process the ultrasonic echo signals.

[0111] The human-computer interaction device 70 is used for human-computer interaction, such as outputting visual information and receiving user input. The user input may be received using a keyboard, operating buttons, mouse, trackball, touchpad, or a touch screen integrated with a display. The visual information may be output using a display, touch display, display screen, or touch screen display.

[0112] The memory 80 is used to store various types of data.

[0113] Please refer to Figure 1 The ultrasound device may further include a beamforming module 50 and an IQ demodulation module 60 .

[0114] The beamforming module 50 is signal-connected to the receiving circuit 40 and is used to perform beamforming processing, such as delay and weighted summation, on the echo signals. Because the distances between the ultrasound receiving points in the measured tissue and the receiving array elements vary, the channel data of the same receiving point output by different receiving array elements have different delays. This requires delay processing, phase alignment, and weighted summation of the different channel data from the same receiving point to obtain beamformed ultrasound image data. The ultrasound image data output by the beamforming module 50 is also called radio frequency data (RF data). The beamforming module 50 outputs the RF data to the IQ demodulation module 60. In some embodiments, the beamforming module 50 may also output the RF data to the memory 80 for caching or storage, or directly output the RF data to the processor 20 for image processing.

[0115] The beamforming module 50 can perform the above functions in the form of hardware, firmware or software. The beamforming module 50 can be integrated into the processor 20 or set separately, which is not limited in the present invention.

[0116] The IQ demodulation module 60 removes the signal carrier through IQ demodulation, extracts the tissue structure information contained in the signal, and performs filtering to remove noise. The resulting signal is called a baseband signal (IQ data pair). The IQ demodulation module 60 outputs the IQ data pair to the processor 20 for image processing. In some embodiments, the IQ demodulation module 60 also outputs the IQ data pair to the memory 80 for caching or storage, so that the processor 20 can read the data from the memory 80 for subsequent image processing.

[0117] The IQ demodulation module 60 may also perform the above functions in the form of hardware, firmware or software. Similarly, the IQ demodulation module 60 may be integrated into the processor 20 or may be provided separately, which is not limited in the present invention.

[0118] The processor 20 is configured to be a central controller circuit (CPU), one or more microprocessors 20, a graphics controller circuit (GPU) or any other electronic component that can process input data according to specific logical instructions. It can control peripheral electronic components according to input instructions or predetermined instructions, or read and / or save data from the memory 80. It can also process the input data by executing the program in the memory 80, such as performing one or more processing operations on the collected ultrasound data according to one or more working modes. The processing operations include but are not limited to adjusting or limiting the form of ultrasound waves emitted by the ultrasound probe 10, generating various image frames for subsequent display on the display of the human-computer interaction device 70, or adjusting or limiting the content and form displayed on the display, or adjusting one or more image display settings displayed on the display (such as ultrasound images, interface components, and positioning areas of interest).

[0119] As echo signals are received, the acquired ultrasound data may be processed by the processor 20 in real time during scanning, or may be temporarily stored on the memory 80 and processed in quasi-real time in either on-line or off-line operation.

[0120] In this embodiment, the processor 20 controls the operation of the transmitting circuit 30 and the receiving circuit 40, for example, controlling the transmitting circuit 30 and the receiving circuit 40 to operate alternately or simultaneously. The processor 20 may also determine an appropriate operating mode based on a user selection or program setting, form a transmission sequence corresponding to the current operating mode, and send the transmission sequence to the transmitting circuit 30 so that the transmitting circuit 30 uses the appropriate transmission sequence to control the ultrasound probe 10 to transmit ultrasonic waves.

[0121] In some embodiments, the processor 20 controls the ultrasonic probe to transmit ultrasonic waves to biological tissue and receive ultrasonic echoes through the transmitting and receiving control circuit according to the transmitting and receiving parameters, obtains ultrasonic echo signals, and processes the ultrasonic echo signals according to the imaging parameters to obtain ultrasonic cross-sectional images of the biological tissue.

[0122] The above is some description of the ultrasound equipment. The following is a detailed description of the process of multi-parameter joint diagnosis of the ultrasound equipment.

[0123] The processor controls the human-computer interaction device to display a first operation interface and displays a multi-parameter joint control on the first operation interface. For example, the first operation interface can be a high-level menu interface displayed by default by the human-computer interaction device, or a next-level menu interface entered based on the high-level menu interface.

[0124] The processor can obtain a first operation of the user on the multi-parameter joint control based on the human-computer interaction device, and respond to the first operation to configure the multi-parameter joint model. For example, based on a click operation on the multi-parameter joint control, the processor is used to configure the multi-parameter joint model under default conditions. In some embodiments, configuring the multi-parameter joint model includes configuring multiple parameters, configuring the input methods corresponding to the multiple parameters, configuring the model for combining the multiple parameters, and configuring the output method of the output result of the model. For example, when the multi-parameter joint model is running, the configured multiple parameters can be obtained respectively based on the configured input method, and the multiple parameters can be input into the configured model so that an output result is obtained based on the model, and the output result is output based on the configured output method, thereby realizing multi-parameter joint diagnosis based on the output result of the multi-parameter joint model. Wherein, under default conditions, the multiple parameters are parameters of default number and default type, the input method is the default input method, the model is the default model, and the output method is the default output method.

[0125] The processor may also obtain, based on the human-computer interaction device, a second user operation on the multi-parameter joint control. The first operation and the second operation may be the same operation or different operations. For example, the second operation may be a click operation on the multi-parameter joint control. For example, the first operation may be a single click operation, while the second operation may be a multiple click operation. In response to the second operation, the processor controls the human-computer interaction device to display a second operation interface, and displays a multi-parameter joint setting sub-interface on the second operation interface.

[0126] In some embodiments, the multi-parameter joint setting sub-interface includes at least one of a first setting area, a second setting area, and a third setting area. The first setting area is used to configure the parameter types of the multiple parameters and / or the model type of the configuration model, the second setting area is used to configure the input methods corresponding to the multiple parameters, and the third setting area is used to configure the output method of the model output results, so that the user can configure the multi-parameter joint model they need based on the first setting area, the second setting area, and the third setting area.

[0127] Please refer to Figure 2In some embodiments, the first setting area includes multiple parameter type selection controls A1, each corresponding to a parameter, wherein the parameter type selection control A1 is used to select the parameter type of the corresponding parameter. In some embodiments, the processor can control the parameter type selection control A1 to display a parameter type menu in response to a user's operation on the parameter type selection control A1, wherein the parameter type menu includes multiple different parameter types. In response to the selection of a parameter type in the parameter type menu, the processor determines the parameter type of the parameter corresponding to the parameter type selection control A1. In some embodiments, one parameter can be directly selected from the parameter type menu as the default parameter type for the parameter corresponding to the parameter type selection control A1. Each time the processor responds to a user's operation on the parameter type selection control A1, it selects another parameter from the parameter type menu to determine the parameter type of the parameter corresponding to the parameter type selection control A1 until the user selects the desired parameter type. In this embodiment, the user can determine the parameter types of multiple parameters based on the operation of the multiple parameter type selection controls A1 in the first setting area.

[0128] Please refer to Figure 2 In some embodiments, the first setting area may further include a model type selection control A2, which corresponds to the model, wherein the model type selection control A2 is used to select the model type of the model. In some embodiments, the processor may control the model type selection control A2 to display a model type menu in response to a user's operation on the model type selection control A2, wherein the model type menu includes a plurality of different model types. In response to the selection of a model type in the model type menu, the processor determines the model type of the model corresponding to the model type selection control A2. In some embodiments, one model type may be directly selected from the model type menu as the default model type for the model corresponding to the model type selection control A2. Each time the processor responds to a user's operation on the model type selection control A2, another model type is selected from the model type menu to determine the model type of the model corresponding to the model type selection control A2 until the user selects the desired model type. In this embodiment, the user can determine the model type of the model based on the operation of the model type selection control A2 in the first setting area.

[0129] In some embodiments, the multiple parameters include at least two parameters, at least one of which is an ultrasound quantitative parameter, so that multiple parameters can be acquired on an ultrasound device based on a multi-parameter joint model and a multi-parameter joint diagnosis can be performed.

[0130] In some embodiments, the multiple parameters include at least one human physiological parameter associated with fatty liver and at least one ultrasonic quantitative parameter of fatty liver. In this embodiment, since non-alcoholic fatty liver disease and the human physiological parameters associated with fatty liver disease are correlated, the combination of ultrasonic quantitative parameters of fatty liver disease and the human physiological parameters associated with fatty liver disease can better assess non-alcoholic fatty liver disease, thereby improving the diagnostic accuracy of non-alcoholic fatty liver disease.

[0131] In some embodiments, human physiological parameters related to fatty liver include human physiological index parameters related to fatty liver and human physiological serological parameters related to fatty liver, wherein the human physiological index parameters related to fatty liver include parameters such as body mass index, waist circumference, body fat percentage, grip strength, etc., which can be used to reflect the fat condition or muscle condition of the human body, thereby being related to fatty liver, and can be used to evaluate non-alcoholic fatty liver disease. Human physiological serological parameters related to fatty liver include liver-related serological parameters such as transaminase, alkaline phosphatase and bilirubin, which can be used to indicate the presence of fatty liver when abnormal, thereby being related to fatty liver. In some embodiments, at least one human physiological parameter includes at least body mass index and waist circumference, which can holistically evaluate the fat of the human body, or fat related to non-alcoholic fatty liver disease, and body mass index and waist circumference are highly correlated with non-alcoholic fatty liver disease.

[0132] In some embodiments, the at least one ultrasonic quantitative parameter of fatty liver includes at least one of acoustic attenuation, liver-kidney ratio, speed of sound, liver texture, and backscatter coefficient, all of which can be used to quantitatively evaluate fatty liver to a certain extent.

[0133] In some embodiments, the model type of the model is one of a functional relationship between multiple parameters, a nomogram, a spider diagram, and a polar diagram, which can be calculated based on the multiple input parameters to obtain corresponding output results. In some embodiments, the model can calculate a combined result of multiple parameters based on multiple input parameters. For example, when the multiple parameters are body mass index, waist circumference and at least one ultrasonic quantitative parameter of fatty liver, the fatty liver assessment result of the examinee can be obtained based on the model. For example, the functional relationship can be a linear functional relationship or a nonlinear functional relationship, which can include the calculation of the input values of each parameter and the weight coefficients between each parameter, and then the fatty liver assessment result is obtained based on the input value calculation of each parameter and the weight coefficient calculation. For example, the nomogram can include the input values of each parameter and the score values corresponding to the input values of each parameter, and then the fatty liver assessment result is obtained based on the total score of each parameter. For example, the spider diagram includes points corresponding to the input values of each parameter, and the fatty liver assessment result is the ratio of the area of the figure enclosed by the lines connecting each point to the total area of the spider diagram. For example, the polar area diagram (radar diagram) includes the area corresponding to the input values of each parameter, and the fatty liver assessment result is the ratio of the sum of the areas of each polar area to the total area of the figure.

[0134] In some embodiments, the fatty liver assessment result can be a continuous numerical value within a range, for example, a value range of [0,1], [0,100], [-1,1], [0,600], etc. The numerical value is related to the patient's risk of having fatty liver. For example, when there is a positive correlation, that is, the lower the numerical value, the lower the risk of the patient having fatty liver; the higher the numerical value, the higher the risk of the patient having fatty liver. For example, when there is a negative correlation, the higher the numerical value, the lower the risk of the patient having fatty liver; the lower the numerical value, the higher the risk of the patient having fatty liver. In some embodiments, the fatty liver assessment result can also be a discrete level result, including but not limited to: level results described by text, numbers, and letters, such as low, medium, and high levels, 1, 2, 3, and 4 levels, A, B, C, D, and E levels, or other results that can describe different degrees.

[0135] In some embodiments, the fatty liver assessment result may also be a correction of one of the parameters based on the model. For example, when the multiple parameters are body mass index, waist circumference and at least one fatty liver ultrasound quantitative parameter, the model corrects at least one fatty liver ultrasound quantitative parameter according to the body mass index and waist circumference of the examinee, and obtains the fatty liver assessment result of the examinee based on the corrected at least one fatty liver ultrasound quantitative parameter.

[0136] Please refer to Figure 2 In some embodiments, the first setting area may further include a parameter quantity selection control A3, which is used to select the number of parameters to be obtained. In some embodiments, the processor may control the parameter quantity selection control A3 to display a parameter quantity menu in response to the user's operation on the parameter quantity selection control A3, and the parameter quantity menu includes multiple different numerical values. The processor determines the number of parameters to be obtained in response to the selection of the numerical value in the parameter quantity menu. In some embodiments, the processor may add one parameter each time in response to the user's operation on the parameter quantity selection control A3 until the number of parameters required by the user is reached. After determining the number of parameters to be obtained, the processor displays a parameter type selection control A1 corresponding to the parameter number in the first setting area. In this embodiment, the user can determine the parameter number of multiple parameters based on the parameter quantity selection control A3 in the first setting area.

[0137] Please refer to Figure 2In some embodiments, the second setting area includes multiple input selection controls B1, each of which corresponds to a parameter; wherein the input selection control B1 is used to select the input method of the corresponding parameter. In some embodiments, the processor can control the input selection control B1 to display an input method menu in response to the user's operation on the input selection control B1, and the input method menu includes multiple different input methods. The processor determines the input method of the parameter corresponding to the input selection control B1 in response to the selection of the input method in the input method menu. In some embodiments, it is also possible to directly select one from the input method menu as the default input method for the parameter corresponding to the input selection control B1. Each time the processor responds to the user's operation on the input selection control B1, it selects another from the input method menu to determine the input method of the parameter corresponding to the input selection control B1 until the user selects the required input method. In this embodiment, the user can determine the input method of multiple parameters based on the operation of multiple input selection controls B1 in the first setting area.

[0138] In some embodiments, the input method menu includes at least one of PACS (picture archiving and communication system) system input, workstation input, ultrasound scan input, ultrasound device stored data input, and manual input. The PACS system is used to store medical images generated by various medical devices for easy retrieval, while the workstation can be used to manage various patient information. Ultrasound scan input is based on real-time scanning by the ultrasound device, while ultrasound device stored data input is based on data stored by the ultrasound device after completion of the ultrasound scan. Manual input allows users to input via a human-computer interface.

[0139] Please refer to Figure 2 In some embodiments, the second setting area further includes an ultrasound scanning control B2. In response to a user's operation on ultrasound scanning control B2, the processor enters ultrasound scanning mode and controls the ultrasound probe to transmit ultrasound waves toward the subject's liver and receive ultrasound echo signals. Based on the ultrasound echo signals, the processor obtains parameters inputted via ultrasound scanning, such as ultrasonic quantitative parameters of fatty liver disease. In some embodiments, ultrasound scanning control B2 may be permanently located in the second setting area or displayed in the second setting area when parameters inputted via ultrasound scanning are present. This allows the user to quickly enter ultrasound scanning mode and obtain desired ultrasound quantitative parameters, such as those of fatty liver disease, using ultrasound scanning control B2.

[0140] Please refer to Figure 3In some embodiments, the third setting area includes multiple output selection controls C1. The output mode includes an output statistical mode and / or an output display location. Each output selection control C1 corresponds to an output statistical mode or an output display location. The output selection control C1 is used to select the output statistical mode and / or output display location of the output result. In some embodiments, the output display location includes an ultrasound scan interface and a report display page. The ultrasound scan interface is the interface that displays the ultrasound image when the ultrasound device performs an ultrasound scan, and the report display page is the page that outputs the ultrasound scan results after the ultrasound device completes the ultrasound scan. In some embodiments, the output statistical mode includes a single result display and a multiple result statistical display. The single result display is the output result based on a single fatty liver ultrasound quantitative parameter calculation model, and the multiple result statistics are the output results based on a single fatty liver ultrasound quantitative parameter calculation model. For example, a set of fatty liver ultrasound quantitative parameters is obtained, and then a set of output results of the fatty liver ultrasound quantitative parameter calculation model is obtained based on the set of fatty liver ultrasound quantitative parameter calculation model. Then, the final output result is obtained based on the set of output results. Alternatively, a fatty liver ultrasound quantitative parameter is calculated based on a set of fatty liver ultrasound quantitative parameters, and then the output result of the fatty liver ultrasound quantitative parameter calculation model is obtained based on the output result of the fatty liver ultrasound quantitative parameter calculation model.

[0141] In some embodiments, the output selection control C1 has a selected state and an unselected state. In response to a user's operation on the output selection control C1, the processor switches the output selection control C1 between the selected state and the unselected state. When the output selection control C1 is in the selected state, the output result is output using the output statistical method or output display location corresponding to the output selection control C1. For example, if the output selection control C1 corresponds to an ultrasound scanning interface, the output result is displayed on the ultrasound scanning interface. Conversely, when the output selection control C1 is in the unselected state, the output result is not output using the output statistical method or output display location corresponding to the output selection control C1.

[0142] Please refer to Figure 4 and Figure 5In some embodiments, the output mode further includes at least one of an output display mode and a result statistical mode. The third setting area further includes a plurality of mode selection controls C2, each mode selection control C2 corresponding to an output display position or multiple result statistical displays. In response to operation of the mode selection control C2, the processor determines the output display mode of the output result at the corresponding output display position, or determines the multiple result statistical mode when the output result is output in multiple result statistical displays. The output display mode includes outputting and displaying the output result in a gear ring mode and a gear value mode. For example, the gear value mode may include three gears: a first gear value, a second gear value, and a third gear value. The result statistical mode includes one of the median (Median), interquartile range (IQR), interquartile range divided by median (IQR / Med), mean (Mean), standard deviation (Std), coefficient of variation (CV), and mode (Mode). For example, the mode of a set of fatty liver ultrasound quantitative parameters is obtained as the multiple result statistical mode, for example, the median of a set of output results is obtained as the multiple result statistical mode.

[0143] The above are some instructions for configuring the multi-parameter joint model. The following describes the process of using the multi-parameter joint model.

[0144] The processor calls the multi-parameter joint model when the preset conditions are met. For example, the processor can respond to a call instruction input by the user based on the human-computer interaction device to call the multi-parameter joint model, or the processor can also automatically call the multi-parameter joint model when the ultrasound device performs an ultrasound scan and obtains the corresponding ultrasound quantitative parameters, such as obtaining the ultrasonic quantitative parameters of fatty liver. Then, the processor obtains the configured multiple parameters according to the input method corresponding to each parameter, and inputs them into the configured model to obtain the output result of the model, and outputs the output result according to the configured output method. For example, the body mass index, waist circumference and at least one ultrasonic quantitative parameter of fatty liver of the subject are obtained and input into the model, so that the model obtains the fatty liver assessment result of the subject based on the body mass index, waist circumference and at least one ultrasonic quantitative parameter of fatty liver of the subject. The processor obtains the fatty liver assessment result and outputs the fatty liver assessment result according to the output method.

[0145] The following is an example of the multi-parameter joint process.

[0146] In some embodiments, when there is no tool such as a workstation or PACS system that can automatically obtain parameters, the multi-parameter combination process is as follows:

[0147] First, the second operation of the multi-parameter joint control enters the multi-parameter joint setting sub-interface. In this sub-interface, multiple parameters are configured, including the input method corresponding to the multiple parameters, the model, and the output method of the model's output results. For example, the ultrasonic quantitative parameters for fatty liver are configured as ultrasound scan input, while other parameters are manually input. New patient information is created to associate the model's output results with the patient. Other parameters are then manually entered, such as at least one human physiological parameter related to fatty liver, including but not limited to BMI and WC, in preparation for the ultrasound examination.

[0148] Then, an ultrasound scan of the target tissue is performed, for example, an ultrasound scan of the liver is performed to obtain at least one ultrasonic quantitative parameter of fatty liver, wherein the ultrasonic quantitative parameter of fatty liver can be measured once or multiple times;

[0149] Finally, manually or automatically call the multi-parameter joint model, input the configured multiple parameters and calculate the output results of the model, and output the output results according to the configured output method.

[0150] In some embodiments, when a tool such as a workstation or PACS system is available that can automatically acquire parameters, the multi-parameter combination process is as follows:

[0151] First, the second operation of the multi-parameter joint control enters the multi-parameter joint setting sub-interface. Through the multi-parameter joint setting sub-interface, multiple parameters are configured, including the input methods corresponding to the multiple parameters, the model, and the output method of the model output results. For example, the ultrasonic quantitative parameters of fatty liver are configured as ultrasound scan input, and other parameters are configured as workstation input or PACS system input. New patient information is created to associate the model output results with the patient. Then, based on the workstation input or PACS system input, other parameters are input, such as at least one human physiological parameter related to fatty liver, including but not limited to BMI and WC, to prepare for the ultrasound examination.

[0152] Then, an ultrasound scan of the target tissue is performed, for example, an ultrasound scan of the liver is performed to obtain at least one ultrasonic quantitative parameter of fatty liver, wherein the ultrasonic quantitative parameter of fatty liver can be measured once or multiple times;

[0153] Finally, manually or automatically call the multi-parameter joint model, input the configured multiple parameters and calculate the output results of the model, and output the output results according to the configured output method.

[0154] In some embodiments, an ultrasound examination may be performed first to obtain ultrasound quantitative parameters, and then patient information may be obtained to establish a multi-parameter joint model. In this case, the multi-parameter joint process is as follows.

[0155] First, an ultrasound scan of the target tissue is performed, for example, an ultrasound scan of the liver is performed, and at least one ultrasonic quantitative parameter of fatty liver is obtained. The ultrasonic quantitative parameter of fatty liver can be measured once or multiple times.

[0156] Next, perform the second operation on the multi-parameter joint control to enter the multi-parameter joint setting sub-interface, configure multiple parameters through the multi-parameter joint setting sub-interface, configure the input method corresponding to the multiple parameters, configure the model, and configure the output method of the model's output results. Create new patient information so that the model's output results are associated with the patient, and then obtain multiple parameters according to the acquisition method;

[0157] Finally, manually or automatically call the multi-parameter joint model, input the configured multiple parameters and calculate the output results of the model, and output the output results according to the configured output method.

[0158] In some embodiments, the ultrasound quantitative parameters required for the model can also be obtained from historical data stored in the ultrasound device. In this case, a multi-parameter joint process with a workstation or PACS system is as follows:

[0159] First, the second operation of the multi-parameter joint control is performed to enter the multi-parameter joint setting sub-interface. Through the multi-parameter joint setting sub-interface, multiple parameters are configured, the input methods corresponding to the multiple parameters are configured, the model is configured, and the output method of the model output results is configured. For example, the ultrasonic quantitative parameter of fatty liver is configured as the input of the ultrasound device storage data, and other parameters are input from the workstation or PACS system. New patient information is created to associate the output results of the model with the patient. Then, other parameters are input based on the workstation input or PACS system, such as obtaining at least one human physiological parameter related to fatty liver, including but not limited to BMI and WC, and inputting the ultrasonic quantitative parameter based on the ultrasound device storage data, such as obtaining the ultrasonic quantitative parameter of fatty liver.

[0160] Finally, manually or automatically call the multi-parameter joint model, input the configured multiple parameters and calculate the output results of the model, and output the output results according to the configured output method.

[0161] In the above-mentioned embodiment, the multi-parameter joint model can be embedded in the ultrasound device. A custom combination of multiple parameters can then be performed based on the multi-parameter joint model embedded in the ultrasound device. After configuring the multi-parameter joint model, the multiple parameters required for calculation are first obtained, and then the model output is manually or automatically calculated and displayed. This meets the clinical need for multi-parameter joint diagnosis of fatty liver disease, further improving the accuracy and reliability of ultrasonic diagnosis of fatty liver disease. It also facilitates the conversion or verification of relevant scientific research results on multi-parameter diagnosis of fatty liver disease, further facilitating clinical and scientific research.

[0162] In some embodiments of the present invention, the aforementioned method may be implemented not in an ultrasound device comprising an ultrasound probe, transmitting and receiving control circuits, and other components, but in a workstation, server, smartphone, intelligent electronic terminal, or other electronic device, collectively referred to herein as a fatty liver assessment device. The fatty liver assessment device may include a human-computer interaction device and a processor. The human-computer interaction device is configured to receive user input and output visual information. The processor may be used to implement the method steps described in the aforementioned embodiments, which will not be further described here.

[0163] Those skilled in the art will appreciate that all or part of the functions of the various methods in the above embodiments can be implemented by hardware or by computer program. When all or part of the functions in the above embodiments are implemented by computer program, the program can be stored in a computer-readable storage medium, and the storage medium can include: read-only memory, random access memory, disk, optical disk, hard disk, etc., and the program is executed by a computer to implement the above functions. For example, the program is stored in the memory of the device, and when the program in the memory is executed by the processor, all or part of the above functions can be implemented. In addition, when all or part of the functions in the above embodiments are implemented by computer program, the program can also be stored in a storage medium such as a server, another computer, disk, optical disk, flash disk or mobile hard disk, and saved in the memory of the local device by downloading or copying, or the system of the local device is updated. When the program in the memory is executed by the processor, all or part of the functions in the above embodiments can be implemented.

[0164] The above specific examples are used to illustrate the present application, which is only used to help understand the present application and is not intended to limit the present application. For those skilled in the art of the present application, based on the concept of the present application, they can also make some simple deductions, modifications or substitutions.

Claims

1. An ultrasonic device, characterized in that include: An ultrasonic probe, configured to transmit ultrasonic waves to a region of interest within biological tissue, and receive echoes of the ultrasonic waves to obtain ultrasonic echo signals; a transmitting and receiving control circuit, configured to control the ultrasonic probe to transmit ultrasonic waves to the region of interest and receive the ultrasonic echo signals; A human-computer interaction device for receiving user input and outputting visual information; Processor for: Controlling the human-computer interaction device to display a first operation interface, and displaying a multi-parameter joint control on the first operation interface; Acquiring a first operation on the multi-parameter joint control based on the human-computer interaction device, and configuring a multi-parameter joint model in response to the first operation; wherein configuring the multi-parameter joint model includes configuring multiple parameters, configuring input methods corresponding to the multiple parameters, configuring a model for combining the multiple parameters, and configuring an output method for an output result of the model, wherein the multiple parameters include at least a body mass index, a waist circumference, and at least one ultrasonic quantitative parameter of fatty liver; The multi-parameter joint model is called when a preset condition is met, and the body mass index, waist circumference, and at least one ultrasonic quantitative parameter of fatty liver of the subject are respectively obtained according to the input method corresponding to each parameter, and the parameters are input into the model, so that the model obtains a fatty liver assessment result of the subject based on the body mass index, waist circumference, and at least one ultrasonic quantitative parameter of fatty liver of the subject; The fatty liver assessment result is obtained, and the fatty liver assessment result is output according to the output method.

2. The ultrasonic device according to claim 1, wherein The processor is further configured to: Acquiring a second operation on the multi-parameter joint control based on the human-computer interaction device, where the first operation and the second operation are the same operation or different operations; In response to the second operation, the human-computer interaction device is controlled to display a second operation interface, and a multi-parameter joint setting sub-interface is displayed on the second operation interface, wherein the multi-parameter joint setting sub-interface includes at least one of the following: a first setting area for configuring a multi-parameter joint model; in response to an operation on the first setting area, configuring parameter types of the multiple parameters, the parameter types including at least body mass index, waist circumference, and at least one ultrasonic quantitative parameter of fatty liver; and / or configuring a model type of the model; A second setting area for configuring a multi-parameter joint model; in response to an operation on the second setting area, configuring the input mode corresponding to the multiple parameters; a third settings area for configuring a multi-parameter joint model; In response to an operation on the third setting area, the output manner of the fatty liver evaluation result is configured.

3. The ultrasonic device according to claim 2, wherein The first setting area includes a plurality of parameter type selection controls and / or model type selection controls; wherein each parameter type selection control corresponds to one of the parameters, and each model type selection control corresponds to the model; In response to the operation of the parameter type selection control, the parameter type of the parameter corresponding to the parameter type selection control is determined; in response to the operation of the model type selection control, the model type of the model corresponding to the model type selection control is determined.

4. The ultrasonic device according to claim 3, wherein The first setting area further includes a parameter quantity selection control. In response to an operation on the parameter quantity selection control, the parameter quantity of the plurality of parameters is configured, and the parameter type selection control corresponding to the parameter quantity is displayed in the first setting area.

5. The ultrasonic device according to claim 2, wherein The second setting area includes a plurality of input selection controls, each of which corresponds to one of the parameters; In response to the operation of the input selection control, the input method of the parameter corresponding to the input selection control is determined; the input method includes at least one of PACS system input, workstation input, ultrasound scanning input, ultrasound equipment storage data input, and manual input.

6. The ultrasonic device according to claim 5, wherein The processor is further configured to: The second setting area also includes an ultrasound scanning control; In response to the operation of the ultrasound scanning control, the ultrasound scanning mode is entered and the ultrasound probe is controlled to transmit ultrasound to the liver of the examinee and receive the echo signal of the ultrasound, and the parameters of the ultrasound scanning input are obtained based on the echo signal of the ultrasound.

7. The ultrasonic device according to claim 2, wherein The third setting area includes a plurality of output selection controls, the output mode includes an output statistical mode and / or an output display location, and each output selection control corresponds to one of the output statistical modes or one of the output display locations; wherein the output display locations include an ultrasound scan interface and a report display page, and the output statistical mode includes a single result display and a multiple result statistical display; The output selection control has a selected state and a non-selected state, and in response to an operation on the output selection control, the output selection control switches between the selected state and the non-selected state; When the output selection control is in the selected state, the fatty liver assessment result is output in the output statistical mode or output display position corresponding to the output selection control; When the output selection control is in the non-selected state, the fatty liver assessment result is not output in the output statistical mode or output display position corresponding to the output selection control.

8. The ultrasonic device according to claim 7, wherein The output mode also includes at least one of an output display mode and a result statistics mode; The third setting area also includes multiple mode selection controls, each of which corresponds to one of the output display positions or the multiple result statistical displays; in response to the operation of the mode selection control, the output display mode of the fatty liver assessment result at the corresponding output display position is determined, or the multiple result statistical mode when the fatty liver assessment result is output in the multiple result statistical display is determined.

9. The ultrasonic device according to claim 1, wherein The at least one ultrasonic quantitative parameter of fatty liver includes at least one of acoustic attenuation, liver-kidney ratio, sound velocity, liver texture, and backscatter coefficient.

10. The ultrasonic device according to claim 1, wherein The model type of the model includes at least one of a functional relationship between the multiple parameters, a nomogram, a spider diagram, and a polar diagram.

11. The ultrasonic device according to claim 1, wherein The model obtains a fatty liver assessment result of the subject based on the subject's body mass index, waist circumference, and at least one ultrasonic quantitative parameter of fatty liver, including: The model corrects the at least one fatty liver ultrasonic quantitative parameter according to the body mass index and waist circumference of the examinee, and obtains the fatty liver assessment result of the examinee based on the corrected at least one fatty liver ultrasonic quantitative parameter.

12. An ultrasonic device, characterized in that: include: An ultrasonic probe, configured to transmit ultrasonic waves to a region of interest within biological tissue, and receive echoes of the ultrasonic waves to obtain ultrasonic echo signals; a transmitting and receiving control circuit, configured to control the ultrasonic probe to transmit ultrasonic waves to the region of interest and receive the ultrasonic echo signals; A human-computer interaction device for receiving user input and outputting visual information; Processor for: Controlling the human-computer interaction device to display a first operation interface, and displaying a multi-parameter joint control on the first operation interface; Acquiring a first operation on the multi-parameter joint control based on the human-computer interaction device, and configuring a multi-parameter joint model in response to the first operation; wherein configuring the multi-parameter joint model includes configuring a plurality of parameters and configuring a model for combining the plurality of parameters; the plurality of parameters include at least one human physiological parameter related to fatty liver and at least one ultrasonic quantitative parameter of fatty liver; The multi-parameter joint model is called when a preset condition is met, the at least one human physiological parameter and the at least one ultrasonic quantitative parameter of fatty liver of the subject are obtained, and the at least one parameter is input into the model, so that the model obtains a fatty liver assessment result of the subject based on the at least one human physiological parameter and the at least one ultrasonic quantitative parameter of fatty liver of the subject; Obtain the fatty liver assessment result and output the fatty liver assessment result.

13. The ultrasonic device according to claim 12, wherein The processor is further configured to: Acquiring a second operation on the multi-parameter joint control based on the human-computer interaction device, where the first operation and the second operation are the same operation or different operations; In response to the second operation, the human-computer interaction device is controlled to display a second operation interface, and a multi-parameter joint setting sub-interface is displayed on the second operation interface, wherein the multi-parameter joint setting sub-interface includes at least: A first setting area for configuring a multi-parameter joint model; In response to the operation on the first setting area, the parameter types of the multiple parameters are configured, and the types of the multiple parameters are configured to be the at least one human physiological parameter and the at least one fatty liver ultrasound quantitative parameter respectively; and / or, the model type of the model is configured.

14. An ultrasonic device, characterized in that include: An ultrasonic probe, configured to transmit ultrasonic waves to a region of interest within biological tissue, and receive echoes of the ultrasonic waves to obtain ultrasonic echo signals; a transmitting and receiving control circuit, configured to control the ultrasonic probe to transmit ultrasonic waves to the region of interest and receive the ultrasonic echo signals; A human-computer interaction device for receiving user input and outputting visual information; Processor for: Controlling the human-computer interaction device to display a first operation interface, and displaying a multi-parameter joint control on the first operation interface; Acquiring a first operation on the multi-parameter joint control based on the human-computer interaction device, and configuring a multi-parameter joint model in response to the first operation; wherein configuring the multi-parameter joint model includes configuring a plurality of parameters and configuring a model for combining the plurality of parameters; the plurality of parameters includes at least one ultrasonic quantitative parameter; Calling the multi-parameter joint model when a preset condition is met, obtaining the multiple parameters of the subject, and inputting them into the model, so that the model obtains an evaluation result of the subject based on the multiple parameters of the subject; Obtain the evaluation result and output the evaluation result.

15. An ultrasonic device, characterized in that: include: An ultrasonic probe, configured to transmit ultrasonic waves to a region of interest within biological tissue, and receive echoes of the ultrasonic waves to obtain ultrasonic echo signals; a transmitting and receiving control circuit, configured to control the ultrasonic probe to transmit ultrasonic waves to the region of interest and receive the ultrasonic echo signals; A human-computer interaction device for receiving user input and outputting visual information; Processor for: controlling the ultrasound probe to transmit ultrasound waves to the liver of the subject, and receiving echo signals of the ultrasound waves, and obtaining at least one ultrasonic quantitative parameter of fatty liver based on the echo signals of the ultrasound waves; Obtaining the body mass index and waist circumference of the examinee; An assessment result of fatty liver of the examinee is obtained based at least on the body mass index, waist circumference and at least one ultrasonic quantitative parameter of fatty liver of the examinee.

16. A fatty liver assessment device, characterized in that: include: A human-computer interaction device for receiving user input and outputting visual information; Processor for: Controlling the human-computer interaction device to display a first operation interface, and displaying a multi-parameter joint control on the first operation interface; Acquiring a first operation on the multi-parameter joint control based on the human-computer interaction device, and configuring a multi-parameter joint model in response to the first operation; wherein configuring the multi-parameter joint model includes configuring multiple parameters, configuring input methods corresponding to the multiple parameters, configuring a model for combining the multiple parameters, and configuring an output method for an output result of the model, wherein the multiple parameters include at least a body mass index, a waist circumference, and at least one ultrasonic quantitative parameter of fatty liver; The multi-parameter joint model is called when a preset condition is met, and the body mass index, waist circumference, and at least one ultrasonic quantitative parameter of fatty liver of the subject are respectively obtained according to the input method corresponding to each parameter, and the parameters are input into the model, so that the model obtains a fatty liver assessment result of the subject based on the body mass index, waist circumference, and at least one ultrasonic quantitative parameter of fatty liver of the subject; The fatty liver assessment result is obtained, and the fatty liver assessment result is output according to the output method.

17. A fatty liver assessment device, characterized in that: include: A human-computer interaction device for receiving user input and outputting visual information; Processor for: Controlling the human-computer interaction device to display a first operation interface, and displaying a multi-parameter joint control on the first operation interface; Acquiring a first operation on the multi-parameter joint control based on the human-computer interaction device, and configuring a multi-parameter joint model in response to the first operation; wherein configuring the multi-parameter joint model includes configuring a plurality of parameters and configuring a model for combining the plurality of parameters; the plurality of parameters include at least one human physiological parameter related to fatty liver and at least one ultrasonic quantitative parameter of fatty liver; The multi-parameter joint model is called when a preset condition is met, the at least one human physiological parameter and the at least one ultrasonic quantitative parameter of fatty liver of the subject are obtained, and the at least one parameter is input into the model, so that the model obtains a fatty liver assessment result of the subject based on the at least one human physiological parameter and the at least one ultrasonic quantitative parameter of fatty liver of the subject; Obtain the fatty liver assessment result and output the fatty liver assessment result.

18. A fatty liver assessment device, characterized in that: include: A human-computer interaction device for receiving user input and outputting visual information; Processor for: Controlling the human-computer interaction device to display a first operation interface, and displaying a multi-parameter joint control on the first operation interface; Acquiring a first operation on the multi-parameter joint control based on the human-computer interaction device, and configuring a multi-parameter joint model in response to the first operation; wherein configuring the multi-parameter joint model includes configuring a plurality of parameters and configuring a model for combining the plurality of parameters; the plurality of parameters includes at least one ultrasonic quantitative parameter; Calling the multi-parameter joint model when a preset condition is met, obtaining the multiple parameters of the subject, and inputting them into the model, so that the model obtains an evaluation result of the subject based on the multiple parameters of the subject; Obtain the evaluation result and output the evaluation result.

19. A fatty liver assessment device, characterized in that: include: A human-computer interaction device for receiving user input and outputting visual information; Processor for: Obtaining at least one ultrasonic quantitative parameter of fatty liver; Obtain the examinee's body mass index and waist circumference; Obtaining a fatty liver assessment result of the examinee based at least on the body mass index, waist circumference, and at least one fatty liver ultrasound quantitative parameter of the examinee; The fatty liver assessment result is output.

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