Method and apparatus for implementing a multi-modal holographic spectrum of a medical ultrasound device

Abstract

The application provides a kind of medical ultrasonic equipment multimode holographic spectrum implementation method and device, including: emitting short pulse waveform to the examination site of patient, obtaining the first image of the patient, then emitting long pulse waveform of N groups of preset deflection angles, obtaining N frames of plane wave images of patient, respectively dividing each plane wave image into several frame sub-images, and respectively performing weighted processing on each frame of the sub-image according to the preset deflection angle, obtaining the key information area of patient, obtaining the spectrum data of key information area, drawing the corresponding spectrum image according to the spectrum data, filling the data of the spectrum image using the first image, obtaining the second image of patient, performing foreground extraction on the second image, obtaining the blood flow signal of patient, generating the third image of the patient according to the blood flow signal and displaying, with the implementation method and device of full-class probe multimode holographic spectrum, it can be conveniently and quickly deployed in medical color doppler ultrasound equipment system.

Description

Technical Field

[0001] This invention relates to the field of Doppler imaging technology, and in particular to a method and apparatus for realizing multimodal holographic spectrum in medical ultrasound equipment. Background Technology

[0002] In medical color Doppler ultrasound systems, pulsed Doppler technology is a relatively common imaging technique. As described in patent 202010225632.3, a general method for realizing Doppler spectrum D images involves emitting ultrasound waves to a sampling window at a certain location and then detecting phase or frequency changes in the echo. This allows for real-time observation of organ blood flow distribution and hemodynamic characteristics at the sampling window, thus greatly facilitating diagnosis for doctors.

[0003] Current general-purpose Doppler imaging methods can provide one or more sampling windows from any specific one-dimensional, two-dimensional, or three-dimensional volume data in real time, making it relatively convenient to measure the velocity or direction of blood flow or tissue, or simultaneously measure the velocity or direction of tissue or blood flow at multiple points. As described in patent CN201510574474.1, by generating a wide beam through multiple transmissions and simultaneously receiving different signals at different locations, Doppler spectrograms at different locations can be obtained. Patent 202011287567.3 mainly describes a vector blood flow Doppler imaging method, which detects not only the magnitude of the velocity but also the direction of blood flow. Patent CN201910916443.8 describes the problem of accurate positioning of the backflow spectrum in the cardiac mode of a phased array probe, which uses the method of emitting ultrasound waves, receiving multiple multi-angle receiving lines, and synthesizing Doppler information at the sampling gate through multiple multi-angle lines. Patent CN202010609264.2 describes the process of using sampling gates with different deflection angles for spectrum imaging, with multiple sampling gates pre-set, emitting ultrasound waves at different angles multiple times, and receiving ultrasound waves at different angles multiple times.

[0004] The aforementioned domestic manufacturers have initially solved the problem of simultaneously measuring the velocity of blood flow at multiple points, but several drawbacks exist. First, the beamwidth cannot cover all areas covered by the probe, resulting in weaker emitted ultrasonic signals and a reduced signal-to-noise ratio. Second, it cannot simultaneously display multiple feature images, such as real-time display of conventional B, C, and multi-point D-mode images, making it difficult to locate when tissue and blood flow are moving simultaneously, leading to misjudgments. Third, multi-sampling gates are generally implemented on linear array probes, i.e., multi-sampling gate spectral images are achieved at high PRF (pulse repetition frequency), as the PRF is low, making it practically unusable on low-frequency probes.

[0005] Therefore, the present invention provides a method and apparatus for realizing multimodal holographic spectrum of medical ultrasound equipment. Summary of the Invention

[0006] This invention provides a method and apparatus for realizing multimodal holographic spectrum in medical ultrasound equipment. It has a method and apparatus for realizing multimodal holographic spectrum of all types of probes and can be conveniently and quickly deployed in medical color Doppler ultrasound equipment systems.

[0007] This invention provides a method for realizing multimodal holographic spectrum in medical ultrasound equipment, comprising:

[0008] Step 1: Emit short pulse waveforms to the examination site of the patient to obtain the first image of the patient; Emit N sets of long pulse waveforms with preset deflection angles to the examination site to obtain N frames of plane wave images of the patient.

[0009] Step 2: Divide each plane wave image into several sub-image frames, and perform weighted processing on each sub-image frame according to the preset deflection angle to obtain the key information region of the patient;

[0010] Step 3: Obtain the spectral data of the key information region, draw the corresponding spectral image based on the spectral data, and fill the spectral image with data using the first image to obtain the second image of the patient;

[0011] Step 4: Extract the foreground from the second image to obtain the patient's blood flow signal, generate the patient's third image based on the blood flow signal, and display it.

[0012] In one feasible approach

[0013] Step 1 includes:

[0014] Step 11: Emit a short pulse waveform to the examination site of the patient, acquire the first echo signal of the patient, and draw a first image based on the first echo signal;

[0015] Step 12: Analyze the integrity of the first image. When the first image meets the specified integrity standard, emit N sets of long pulse waveforms with preset deflection angles to the examination site, obtain the second echo signal of the patient for each set of the long pulse waveforms, and draw the plane wave image of the patient based on the second echo signal.

[0016] In one feasible approach

[0017] Step 2 includes:

[0018] Step 21: Divide each plane wave image into several sub-images of a specified size. Based on the distribution structure of the sub-images in the plane wave image, and based on the distribution structure and the preset deflection angle, regard sub-images with the same descriptive content as the same image class.

[0019] Step 22: Arrange each image class spatially according to the preset deflection angle to generate a first sub-image set. Identify the deflection angle corresponding to each sub-image in the first sub-image set. Weight the overlapping areas contained in each sub-image according to the deflection angle to obtain several frames of second sub-images.

[0020] Step 23: Extract the corresponding key regions in each of the second sub-images according to the region of interest selected by the user, identify the associated regions corresponding to the key regions in each of the second sub-images, determine the key information regions corresponding to the patient, and display them.

[0021] In one feasible approach

[0022] Step 3 includes:

[0023] Step 31: Summate the key information regions corresponding to the patient to obtain the first spectrum data of the patient, identify the signal of the first spectrum data, and determine the several kinds of interference signals contained in the first spectrum data;

[0024] Step 32: Eliminate the interference signals contained in the first spectrum data, and perform truncation and Fourier transform on the first spectrum data after interference elimination to generate several segments of second spectrum data, and use the second spectrum data to draw several frames of spectrum images of the patient.

[0025] Step 33: Obtain the time interval T between the transmitted short pulse waveform and N groups of long pulse waveforms, generate a data filling frequency based on the time interval T, and perform data sampling in the first image according to the data filling frequency to obtain several data to be filled;

[0026] Step 34: Fill the corresponding data to be filled into the corresponding image region of each spectrum image according to the data filling frequency to obtain several frames of the second image of the patient.

[0027] In one feasible approach

[0028] Step 4 includes:

[0029] Step 41: Perform brightness segmentation on each of the second images to obtain several image contours contained in each second image. According to the preset deflection angle, perform fusion training on the image contours at the same position corresponding to different second images to obtain the foreground information corresponding to each second image.

[0030] Step 42: Sort the foreground information based on the arrangement order of the second image to generate a foreground information stream, establish a virtual blood flow model of the patient based on the foreground information stream, and generate blood flow signals of the patient's examination site;

[0031] Step 43: Input the blood flow signal into the first image for dynamic color rendering to generate a color image of the patient's examination site, which is regarded as the patient's third image and displayed.

[0032] In one feasible approach

[0033] Also includes:

[0034] Pre-collection of the patient's examination sites is performed to obtain the patient's pre-collection data;

[0035] When the first image is incomplete, the patient's non-real-time state is established based on the pre-acquired data;

[0036] Based on the non-real-time state, a backup image of the patient is constructed and regarded as the first image.

[0037] In one feasible approach

[0038] Also includes:

[0039] Based on the parameter extraction instructions issued by the user, the corresponding relevant parameters are extracted from the third image and displayed.

[0040] In one feasible approach

[0041] Archive the third image corresponding to each of the aforementioned patients;

[0042] Acquire third images of each patient at different examination time periods, generate and display the patient's medical record report.

[0043] This invention provides a device for realizing multimodal holographic spectrum of medical ultrasound equipment, comprising:

[0044] The pulse acquisition module is used to emit short pulse waveforms to the examination site of the patient to acquire the first image of the patient, and to emit N sets of long pulse waveforms with preset deflection angles to the examination site to acquire N frames of plane wave images of the patient.

[0045] The image processing module is used to divide each plane wave image into several sub-image frames, and to perform weighted processing on each sub-image frame according to the preset deflection angle to obtain the key information region of the patient.

[0046] The depth processing module is used to acquire the spectral data of the key information region, draw the corresponding spectral image based on the spectral data, and fill the spectral image with data using the first image to obtain the second image of the patient.

[0047] An ultrasound imaging module is used to extract the foreground from the second image to obtain the patient's blood flow signal, and to generate and display a third image of the patient based on the blood flow signal.

[0048] In one feasible approach

[0049] The depth processing module includes:

[0050] The signal recognition unit is used to sum up several key information regions corresponding to the patient to obtain the patient's first spectrum data, and to identify the signal in the first spectrum data to determine several kinds of interference signals contained in the first spectrum data.

[0051] The spectrum analysis unit is used to eliminate interference signals contained in the first spectrum data, and to truncate and perform Fourier transform on the first spectrum data after interference elimination to generate several segments of second spectrum data, and to use the second spectrum data to draw several frames of spectrum images of the patient.

[0052] The sampling and analysis unit is used to obtain the time interval T between the transmitted short pulse waveform and N groups of long pulse waveforms, generate a data filling frequency based on the time interval T, and perform data sampling in the first image according to the data filling frequency to obtain several data to be filled.

[0053] A depth processing unit is used to fill the corresponding data to be filled into the corresponding image region of each of the spectrum images according to the data filling frequency, so as to obtain several frames of the second image of the patient.

[0054] The beneficial effects of the above technical solution are as follows: 1. Breakthrough in pulse line scanning method. A single scan can cover the entire area, without being limited by the pulse repetition frequency, and theoretically, an unlimited number of sampling windows can be set; 2. Multiple real-time images. Images with various features and spectral images at any location can be displayed in real time; 3. High feasibility. It can be easily and quickly deployed in medical color ultrasound equipment, without being limited by real-time performance or bandwidth.

[0055] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description and drawings.

[0056] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0057] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used together with the embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0058] Figure 1 This is a schematic diagram illustrating the workflow of a method for implementing multimodal holographic spectrum of a medical ultrasound device according to an embodiment of the present invention;

[0059] Figure 2 This is a schematic diagram of the composition of a device for realizing multimodal holographic spectrum of a medical ultrasound device according to an embodiment of the present invention;

[0060] Figure 3 This is a schematic diagram showing the detailed composition of a device for realizing multimodal holographic spectrum of a medical ultrasound device according to an embodiment of the present invention. Detailed Implementation

[0061] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0062] Example 1

[0063] This embodiment provides a method and apparatus for realizing multimodal holographic spectrum in medical ultrasound equipment, such as... Figure 1 As shown, it includes:

[0064] Step 1: Emit short pulse waveforms to the examination site of the patient to obtain the first image of the patient; Emit N sets of long pulse waveforms with preset deflection angles to the examination site to obtain N frames of plane wave images of the patient.

[0065] Step 2: Divide each plane wave image into several sub-image frames, and perform weighted processing on each sub-image frame according to the preset deflection angle to obtain the key information region of the patient;

[0066] Step 3: Obtain the spectral data of the key information region, draw the corresponding spectral image based on the spectral data, and fill the spectral image with data using the first image to obtain the second image of the patient;

[0067] Step 4: Extract the foreground from the second image to obtain the patient's blood flow signal, generate the patient's third image based on the blood flow signal, and display it.

[0068] In this example, short pulse waveforms are first transmitted, followed by N sets of long pulse waveforms with different angles transmitted simultaneously.

[0069] In this example, the key information area represents the area where the inspection site is located;

[0070] In this example, the third image is a three-dimensional color image;

[0071] In this example, the patent uses a plane wave transmission and reception method, which can set the number of sampling windows without limitation and display them in real time. In addition, due to the high frame rate full-area scanning coverage, the speed, direction and spectrum of blood flow at each point can be accurately obtained.

[0072] The working principle and beneficial effects of the above technical solution are as follows: In medical color ultrasound systems, doctors often diagnose by measuring blood flow or tissue velocity. The key to calculating blood flow or tissue velocity is the ability to accurately display the blood flow, tissue velocity, and direction information of multiple sampling windows in real time when the user can arbitrarily select different sampling windows. To facilitate diagnosis, a set of short pulse waveforms is first emitted to the patient's examination site to acquire the first image. Then, N sets of long pulse waveforms with different angles are emitted to obtain N frames of plane wave images of the patient. By performing a series of processing steps on the first image and the plane wave images, the patient's blood flow signal can be determined, thereby generating a three-dimensional, color three-dimensional image for the doctor's diagnosis. Multiple examination sites can be scanned at once, quickly locating the patient's tissues and blood flow, improving the doctor's judgment ability, enhancing the doctor's diagnostic and treatment effect, and providing better medical services for patients.

[0073] Example 2

[0074] Based on Example 1, the method for realizing multimodal holographic spectrum of a medical ultrasound device, wherein step 1 includes:

[0075] Step 11: Emit a short pulse waveform to the examination site of the patient, acquire the first echo signal of the patient, and draw a first image based on the first echo signal;

[0076] Step 12: Analyze the integrity of the first image. When the first image meets the specified integrity standard, emit N sets of long pulse waveforms with preset deflection angles to the examination site, obtain the second echo signal of the patient for each set of the long pulse waveforms, and draw the plane wave image of the patient based on the second echo signal.

[0077] In this example, the integrity standard is specified as follows: the blank rate in the image is no higher than 2%.

[0078] The working principle and beneficial effects of the above technical solution are as follows: When examining a patient, a short pulse waveform is first emitted to the examination site to obtain a first image. When the first image is qualified, a second scan is performed to obtain a plane wave image of the patient. In this way, the examination site of the patient can be examined multiple times and from multiple angles in a short period of time to obtain more effective and clearer images, which facilitates the doctor's diagnosis.

[0079] Example 3

[0080] Based on Example 1, the method for realizing multimodal holographic spectrum of a medical ultrasound device, step 2 includes:

[0081] Step 21: Divide each plane wave image into several sub-images of a specified size. Based on the distribution structure of the sub-images in the plane wave image, and based on the distribution structure and the preset deflection angle, regard sub-images with the same descriptive content as the same image class.

[0082] Step 22: Arrange each image class spatially according to the preset deflection angle to generate a first sub-image set. Identify the deflection angle corresponding to each sub-image in the first sub-image set. Weight the overlapping areas contained in each sub-image according to the deflection angle to obtain several frames of second sub-images.

[0083] Step 23: Extract the corresponding key regions in each of the second sub-images according to the region of interest selected by the user, identify the associated regions corresponding to the key regions in each of the second sub-images, determine the key information regions corresponding to the patient, and display them.

[0084] In this example, the specified size is 9*9 pixels;

[0085] In this example, the distribution structure represents the structure formed by arranging sub-images in a plane wave image;

[0086] In this example, the same descriptive content indicates that multiple sub-images derived from different plane wave images express a feature of the same examination site;

[0087] In this example, the spatial arrangement process is as follows: the images are arranged in three-dimensional space according to the angle corresponding to each sub-image. For example, if sub-image A captures the front view of an organ and sub-image B captures the right side view of an organ, then since the shooting angle between sub-image A and sub-image B is 90°, the sub-image A and sub-image B are arranged at the corresponding angles during spatial arrangement.

[0088] In this example, the user is a doctor.

[0089] The working principle and beneficial effects of the above technical solution are as follows: In order to further analyze the patient's examination, each plane wave image is first divided into several sub-images. The sub-images are classified according to the preset deflection angle and the distribution structure of the sub-images. Then, the sub-images of the same type are arranged in space to generate the first sub-image set. Furthermore, the overlapping areas in the sub-images are weighted according to the deflection angle to achieve the purpose of image enhancement and obtain the second sub-image. Finally, the region of interest is expanded and identified according to the doctor's instructions to determine the patient's key information area. In this way, the patient's examination area can be scanned in detail. With the support of multiple angles, all the detailed morphology of the identified area can be displayed, which is convenient for doctors to make diagnosis and treatment.

[0090] Example 4

[0091] Based on Example 1, the method for realizing multimodal holographic spectrum of a medical ultrasound device, step 3 includes:

[0092] Step 31: Summate the key information regions corresponding to the patient to obtain the first spectrum data of the patient, identify the signal of the first spectrum data, and determine the several kinds of interference signals contained in the first spectrum data;

[0093] Step 32: Eliminate the interference signals contained in the first spectrum data, and perform truncation and Fourier transform on the first spectrum data after interference elimination to generate several segments of second spectrum data, and use the second spectrum data to draw several frames of spectrum images of the patient.

[0094] Step 33: Obtain the time interval T between the transmitted short pulse waveform and N groups of long pulse waveforms, generate a data filling frequency based on the time interval T, and perform data sampling in the first image according to the data filling frequency to obtain several data to be filled;

[0095] Step 34: Fill the corresponding data to be filled into the corresponding image region of each spectrum image according to the data filling frequency to obtain several frames of the second image of the patient.

[0096] In this example, the interference signal refers to noise or other unwanted signals generated by the patient's tissue activity;

[0097] In this example, the data filling frequency is related to the time interval; the longer the time interval, the higher the data filling frequency.

[0098] In this example, the data to be filled represents data from the first image. The number of sampling times is determined according to the data filling frequency. The first image is divided into several regions to be sampled. Then, each region to be sampled is sampled to obtain a data to be filled.

[0099] The working principle and beneficial effects of the above technical solution are as follows: First, the key information areas of the patient are summed to determine the patient's first spectral data. Then, the first spectral data is processed for anti-interference and Fourier transform to generate the second spectral data and draw a spectral image. The first image is then used to fill the spectral image to obtain the second image. Doctors can use the second image to diagnose the overall condition of the patient's examination site, realizing the concept of examining the whole body first and then the region, thus improving the doctor's examination efficiency.

[0100] Example 5

[0101] Based on Example 1, the method for realizing multimodal holographic spectrum of a medical ultrasound device, step 4 includes:

[0102] Step 41: Perform brightness segmentation on each of the second images to obtain several image contours contained in each second image. According to the preset deflection angle, perform fusion training on the image contours at the same position corresponding to different second images to obtain the foreground information corresponding to each second image.

[0103] Step 42: Sort the foreground information based on the arrangement order of the second image to generate a foreground information stream, establish a virtual blood flow model of the patient based on the foreground information stream, and generate blood flow signals of the patient's examination site;

[0104] Step 43: Input the blood flow signal into the first image for dynamic color rendering to generate a color image of the patient's examination site, which is regarded as the patient's third image and displayed.

[0105] In this example, brightness segmentation refers to the process of treating regions with the same brightness as an image contour.

[0106] The working principle and beneficial effects of the above technical solution are as follows: By performing brightness segmentation on the second image to obtain several image contours, similar image contours are then fused and trained to determine the foreground information of the second image. A corresponding foreground information stream is generated to establish a simulated blood flow model, thereby generating a blood flow signal. Finally, the blood flow signal is used to perform dynamic color rendering on the first image to generate a three-dimensional color image for doctors to view. Doctors can use this image to diagnose the patient's condition. With the support of dynamic color rendering, the doctor's judgment ability is improved.

[0107] Example 6

[0108] Based on Example 2, the method for realizing multimodal holographic spectrum of a medical ultrasound device further includes:

[0109] Pre-collection of the patient's examination sites is performed to obtain the patient's pre-collection data;

[0110] When the first image is incomplete, the patient's non-real-time state is established based on the pre-acquired data;

[0111] Based on the non-real-time state, a backup image of the patient is constructed and regarded as the first image.

[0112] In this example, the methods for pre-collecting images of the patient's examination sites include a series of medical image acquisition methods such as CT, MRI scan, and specific waveform scan.

[0113] The working principle and beneficial effects of the above technical solution are as follows: Since some older patients may experience muscle tremors, resulting in incomplete first images, data can be collected from these patients in advance and then converted into first images to facilitate subsequent examinations.

[0114] Example 7

[0115] Based on Example 1, the method for realizing multimodal holographic spectrum of a medical ultrasound device further includes:

[0116] Based on the parameter extraction instructions issued by the user, the corresponding relevant parameters are extracted from the third image and displayed.

[0117] The working principle and beneficial effects of the above technical solution: Doctors can measure various parameters in the first, second and third images, including but not limited to conventional grayscale, area, shape, slope, velocity, acceleration, time and various parameters derived therefrom.

[0118] Example 8

[0119] Based on Example 1, the method for realizing multimodal holographic spectrum of a medical ultrasound device further includes:

[0120] Archive the third image corresponding to each of the aforementioned patients;

[0121] Acquire third images of each patient at different examination time periods, generate and display the patient's medical record report.

[0122] The working principle and beneficial effects of the above technical solution are as follows: In order to further improve the accuracy and speed of doctors' diagnosis, establishing pathology based on the patient's examination images can help doctors understand the patient's past medical history in a short time, which is conducive to making reasonable and effective treatments.

[0123] Example 9

[0124] This embodiment provides a device for realizing multimodal holographic spectrum of medical ultrasound equipment, such as... Figure 2 As shown, it includes:

[0125] The pulse acquisition module is used to emit short pulse waveforms to the examination site of the patient to acquire the first image of the patient, and to emit N sets of long pulse waveforms with preset deflection angles to the examination site to acquire N frames of plane wave images of the patient.

[0126] The image processing module is used to divide each plane wave image into several sub-image frames, and to perform weighted processing on each sub-image frame according to the preset deflection angle to obtain the key information region of the patient.

[0127] The depth processing module is used to acquire the spectral data of the key information region, draw the corresponding spectral image based on the spectral data, and fill the spectral image with data using the first image to obtain the second image of the patient.

[0128] An ultrasound imaging module is used to extract the foreground from the second image to obtain the patient's blood flow signal, and to generate and display a third image of the patient based on the blood flow signal.

[0129] In this example, short pulse waveforms are first transmitted, followed by N sets of long pulse waveforms with different angles transmitted simultaneously.

[0130] In this example, the key information area represents the area where the inspection site is located;

[0131] In this example, the third image is a three-dimensional color image;

[0132] In this example, the patent uses a plane wave transmission and reception method, which can set the number of sampling windows without limitation and display them in real time. In addition, due to the high frame rate full-area scanning coverage, the speed, direction and spectrum of blood flow at each point can be accurately obtained.

[0133] In this example, the detailed components of the device are as follows: Figure 3 As shown.

[0134] The working principle and beneficial effects of the above technical solution are as follows: In medical color ultrasound systems, doctors often diagnose by measuring blood flow or tissue velocity. The key to calculating blood flow or tissue velocity is the ability to accurately display the blood flow, tissue velocity, and direction information of multiple sampling windows in real time when the user can arbitrarily select different sampling windows. To facilitate diagnosis, a set of short pulse waveforms is first emitted to the patient's examination site to acquire the first image. Then, N sets of long pulse waveforms with different angles are emitted to obtain N frames of plane wave images of the patient. By performing a series of processing steps on the first image and the plane wave images, the patient's blood flow signal can be determined, thereby generating a three-dimensional, color three-dimensional image for the doctor's diagnosis. Multiple examination sites can be scanned at once, quickly locating the patient's tissues and blood flow, improving the doctor's judgment ability, enhancing the doctor's diagnostic and treatment effect, and providing better medical services for patients.

[0135] Example 10

[0136] Based on Example 9, the device for realizing multimodal holographic spectrum of a medical ultrasound device, wherein the depth processing module includes:

[0137] The signal recognition unit is used to sum up several key information regions corresponding to the patient to obtain the patient's first spectrum data, and to identify the signal in the first spectrum data to determine several kinds of interference signals contained in the first spectrum data.

[0138] The spectrum analysis unit is used to eliminate interference signals contained in the first spectrum data, and to truncate and perform Fourier transform on the first spectrum data after interference elimination to generate several segments of second spectrum data, and to use the second spectrum data to draw several frames of spectrum images of the patient.

[0139] The sampling and analysis unit is used to obtain the time interval T between the transmitted short pulse waveform and N groups of long pulse waveforms, generate a data filling frequency based on the time interval T, and perform data sampling in the first image according to the data filling frequency to obtain several data to be filled.

[0140] A depth processing unit is used to fill the corresponding data to be filled into the corresponding image region of each of the spectrum images according to the data filling frequency, so as to obtain several frames of the second image of the patient.

[0141] In this example, the interference signal refers to noise or other unwanted signals generated by the patient's tissue activity;

[0142] In this example, the data filling frequency is related to the time interval; the longer the time interval, the higher the data filling frequency.

[0143] In this example, the data to be filled represents data from the first image. The number of sampling times is determined according to the data filling frequency. The first image is divided into several regions to be sampled. Then, each region to be sampled is sampled to obtain a data to be filled.

[0144] The working principle and beneficial effects of the above technical solution are as follows: First, the key information areas of the patient are summed to determine the patient's first spectral data. Then, the first spectral data is processed for anti-interference and Fourier transform to generate the second spectral data and draw a spectral image. The first image is then used to fill the spectral image to obtain the second image. Doctors can use the second image to diagnose the overall condition of the patient's examination site, realizing the concept of examining the whole body first and then the region, thus improving the doctor's examination efficiency.

[0145] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims and their equivalents, this invention is also intended to include these modifications and variations.

Claims

1. A method for realizing multimodal holographic spectrum in a medical ultrasound device, characterized in that, include: Step 1: Emit short pulse waveforms to the examination site of the patient to obtain the first image of the patient; Emit N sets of long pulse waveforms with preset deflection angles to the examination site to obtain N frames of plane wave images of the patient. Step 2: Divide each plane wave image into several sub-image frames, and perform weighted processing on each sub-image frame according to the preset deflection angle to obtain the key information region of the patient; Step 3: Obtain the spectral data of the key information region, draw the corresponding spectral image based on the spectral data, and fill the spectral image with data using the first image to obtain the second image of the patient; Step 4: Extract the foreground from the second image to obtain the patient's blood flow signal, generate the patient's third image based on the blood flow signal, and display it.

2. The method for realizing multimodal holographic spectrum of a medical ultrasound device as described in claim 1, characterized in that, Step 1 includes: Step 11: Emit a short pulse waveform to the examination site of the patient, acquire the first echo signal of the patient, and draw a first image based on the first echo signal; Step 12: Analyze the integrity of the first image. When the first image meets the specified integrity standard, emit N sets of long pulse waveforms with preset deflection angles to the examination site, obtain the second echo signal of the patient for each set of the long pulse waveforms, and draw the plane wave image of the patient based on the second echo signal.

3. The method for realizing multimodal holographic spectrum of a medical ultrasound device as described in claim 1, characterized in that, Step 2 includes: Step 21: Divide each plane wave image into several sub-images of a specified size. Based on the distribution structure of the sub-images in the plane wave image, and based on the distribution structure and the preset deflection angle, regard sub-images with the same descriptive content as the same image class. Step 22: Arrange each image class spatially according to the preset deflection angle to generate a first sub-image set. Identify the deflection angle corresponding to each sub-image in the first sub-image set. Weight the overlapping areas contained in each sub-image according to the deflection angle to obtain several frames of second sub-images. Step 23: Extract the corresponding key regions in each of the second sub-images according to the region of interest selected by the user, identify the associated regions corresponding to the key regions in each of the second sub-images, determine the key information regions corresponding to the patient, and display them.

4. The method for realizing multimodal holographic spectrum of a medical ultrasound device as described in claim 1, characterized in that, Step 3 includes: Step 31: Summate the key information regions corresponding to the patient to obtain the first spectrum data of the patient, identify the signal of the first spectrum data, and determine the several kinds of interference signals contained in the first spectrum data; Step 32: Eliminate the interference signals contained in the first spectrum data, and perform truncation and Fourier transform on the first spectrum data after interference elimination to generate several segments of second spectrum data, and use the second spectrum data to draw several frames of spectrum images of the patient. Step 33: Obtain the time interval T between the transmitted short pulse waveform and N groups of long pulse waveforms, generate a data filling frequency based on the time interval T, and perform data sampling in the first image according to the data filling frequency to obtain several data to be filled; Step 34: Fill the corresponding data to be filled into the corresponding image region of each spectrum image according to the data filling frequency to obtain several frames of the second image of the patient.

5. The method for realizing multimodal holographic spectrum of a medical ultrasound device as described in claim 1, characterized in that, Step 4 includes: Step 41: Perform brightness segmentation on each of the second images to obtain several image contours contained in each second image. According to the preset deflection angle, perform fusion training on the image contours at the same position corresponding to different second images to obtain the foreground information corresponding to each second image. Step 42: Sort the foreground information based on the arrangement order of the second image to generate a foreground information stream, establish a virtual blood flow model of the patient based on the foreground information stream, and generate blood flow signals of the patient's examination site; Step 43: Input the blood flow signal into the first image for dynamic color rendering to generate a color image of the patient's examination site, which is regarded as the patient's third image and displayed.

6. The method for realizing multimodal holographic spectrum of a medical ultrasound device as described in claim 2, characterized in that, Also includes: Pre-collection of the patient's examination sites is performed to obtain the patient's pre-collection data; When the first image is incomplete, the patient's non-real-time state is established based on the pre-acquired data; Based on the non-real-time state, a backup image of the patient is constructed and regarded as the first image.

7. The method for realizing multimodal holographic spectrum of a medical ultrasound device as described in claim 1, characterized in that, Also includes: Based on the parameter extraction instructions issued by the user, the corresponding relevant parameters are extracted from the third image and displayed.

8. The method for realizing multimodal holographic spectrum of a medical ultrasound device as described in claim 1, characterized in that, Also includes: Archive the third image corresponding to each of the aforementioned patients; Acquire third images of each patient at different examination time periods, generate and display the patient's medical record report.

9. A device for realizing multimodal holographic spectrum of medical ultrasound equipment, characterized in that, include: The pulse acquisition module is used to emit short pulse waveforms to the examination site of the patient to acquire the first image of the patient, and to emit N sets of long pulse waveforms with preset deflection angles to the examination site to acquire N frames of plane wave images of the patient. The image processing module is used to divide each plane wave image into several sub-image frames, and to perform weighted processing on each sub-image frame according to the preset deflection angle to obtain the key information region of the patient. The depth processing module is used to acquire the spectral data of the key information region, draw the corresponding spectral image based on the spectral data, and fill the spectral image with data using the first image to obtain the second image of the patient. An ultrasound imaging module is used to extract the foreground from the second image to obtain the patient's blood flow signal, and to generate and display a third image of the patient based on the blood flow signal.

10. The apparatus for realizing multimodal holographic spectrum of medical ultrasound equipment as described in claim 9, characterized in that, The depth processing module includes: The signal recognition unit is used to sum up several key information regions corresponding to the patient to obtain the patient's first spectrum data, and to identify the signal in the first spectrum data to determine several kinds of interference signals contained in the first spectrum data. The spectrum analysis unit is used to eliminate interference signals contained in the first spectrum data, and to truncate and perform Fourier transform on the first spectrum data after interference elimination to generate several segments of second spectrum data, and to use the second spectrum data to draw several frames of spectrum images of the patient. The sampling and analysis unit is used to obtain the time interval T between the transmitted short pulse waveform and N groups of long pulse waveforms, generate a data filling frequency based on the time interval T, and perform data sampling in the first image according to the data filling frequency to obtain several data to be filled. A depth processing unit is used to fill the corresponding data to be filled into the corresponding image region of each of the spectrum images according to the data filling frequency, so as to obtain several frames of the second image of the patient.

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