WO2020037673A1 - 一种超声弹性成像装置及对弹性图像进行处理的方法 - Google Patents

一种超声弹性成像装置及对弹性图像进行处理的方法 Download PDF

Info

Publication number
WO2020037673A1
WO2020037673A1 PCT/CN2018/102318 CN2018102318W WO2020037673A1 WO 2020037673 A1 WO2020037673 A1 WO 2020037673A1 CN 2018102318 W CN2018102318 W CN 2018102318W WO 2020037673 A1 WO2020037673 A1 WO 2020037673A1
Authority
WO
WIPO (PCT)
Prior art keywords
elastic image
elastic
frame
credibility
evaluation
Prior art date
Application number
PCT/CN2018/102318
Other languages
English (en)
French (fr)
Inventor
李双双
Original Assignee
深圳迈瑞生物医疗电子股份有限公司
深圳迈瑞科技有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 深圳迈瑞生物医疗电子股份有限公司, 深圳迈瑞科技有限公司 filed Critical 深圳迈瑞生物医疗电子股份有限公司
Priority to PCT/CN2018/102318 priority Critical patent/WO2020037673A1/zh
Priority to CN201880095882.0A priority patent/CN112534468A/zh
Publication of WO2020037673A1 publication Critical patent/WO2020037673A1/zh

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis

Definitions

  • the invention relates to an ultrasonic device, in particular to an ultrasonic elastography device and a method for processing an elastic image.
  • Ultrasound elastography is one of the hotspots of clinical research in recent years. It mainly reflects the degree of elasticity or softness of tissues. It has been increasingly used in the auxiliary detection of cancerous lesions in tissues, discrimination of benign and malignant tumors, and evaluation of prognostic recovery.
  • Ultrasound elastography typically includes strain elastography and shear wave elastography.
  • Strain elastic imaging method mainly produces a certain deformation by pressing the probe on the tissue, and then calculates and images the strain parameters related to tissue elasticity, such as strain variables and strain rates, and indirectly reflects the distribution of different strains or strain rates on the elastic images. Difference in flexibility. Since the strain parameter is sensitive to pressure, the pressure applied by the probe in this method needs to be as uniform and stable as possible, which places higher requirements on the operator's technique. However, it is difficult to ensure that the pressure meets the requirements for each operation, so whether the generated elastic image can be used as a basis for diagnosis also causes great confusion to the doctor.
  • the shear wave imaging method mainly uses a probe to emit a pulse wave to generate a shear wave that propagates inside the tissue, and detects the propagation parameters of the shear wave (such as the propagation speed), and then performs the propagation according to the propagation parameters of each part of the shear wave propagation path.
  • Imaging according to the distribution of shear wave propagation parameters (such as propagation speed) on the image, indirectly reflects the hardness difference between different tissues. Because it no longer depends on the specific pressure of the operator on the tissue, this elastography method has improved stability and repeatability, and the quantitative measurement results make the diagnosis of the doctor more convenient and objective, which has been widely concerned and welcomed by doctors. .
  • the current shear wave elastography technology because the shear wave in the tissue is very weak, is easily affected by the patient's breathing, heartbeat, blood vessel pulsation, probe movement, etc., so can the generated elastic image be used as a basis for diagnosis? It also brings some trouble to doctors.
  • the technical problem mainly solved by the present invention is to provide an ultrasonic elastography device and a method for processing elastic images to optimize the processing of elastic images.
  • an embodiment provides a method for processing an ultrasound elastic image, including:
  • a preferred elastic image is determined or a preferred elastic image is determined from multiple frames of elastic images.
  • an embodiment provides a method for processing an ultrasound elastic image, including:
  • an embodiment provides a method for processing an ultrasound elastic image, including:
  • an ultrasonic elastography device including:
  • An ultrasonic probe for transmitting an ultrasonic wave to a region of interest in a biological tissue and receiving an echo signal of the ultrasonic wave
  • a transmission sequence controller for generating a transmission sequence and outputting the transmission sequence to an ultrasound probe, and controlling the ultrasound probe to transmit ultrasonic waves to a region of interest and receive echo signals of the ultrasonic waves;
  • a data processor for acquiring multiple frames of ultrasonic echo data of the same region of interest, and evaluating the credibility of the frame elastic image based on the ultrasonic echo data of the generated elastic image to obtain the credibility evaluation of the multi-frame elastic image
  • a preferred elastic image is determined or a preferred elastic image is determined from multiple frames of elastic images
  • a human-computer interaction device which includes a display, and the display is signal-connected to the data processor, and is configured to display an elastic image and / or an evaluation result output by the data processor.
  • an ultrasonic elastography apparatus including:
  • An ultrasonic probe for transmitting an ultrasonic wave to a region of interest in a biological tissue and receiving an echo signal of the ultrasonic wave
  • a transmission sequence controller for generating a transmission sequence and outputting the transmission sequence to an ultrasound probe, and controlling the ultrasound probe to transmit ultrasonic waves to a region of interest and receive echo signals of the ultrasonic waves;
  • a data processor configured to obtain ultrasonic echo data for performing ultrasonic detection on a region of interest, generate an elastic image according to the ultrasonic echo data, and output the elastic image to a display for display; the data processor is further configured to: Evaluate the credibility of the elastic image of the frame according to the ultrasound echo data that generates the elastic image, obtain the credibility evaluation result of the elastic image of the frame, and display the evaluation result in association with the elastic image to display the elasticity.
  • the credibility of the image
  • a human-computer interaction device which includes a display, and the display is signal-connected to the data processor, and is configured to display an elastic image and / or an evaluation result output by the data processor.
  • an ultrasonic elastography device including:
  • An ultrasonic probe for transmitting an ultrasonic wave to a region of interest in a biological tissue and receiving an echo signal of the ultrasonic wave
  • a transmission sequence controller for generating a transmission sequence and outputting the transmission sequence to an ultrasound probe, and controlling the ultrasound probe to transmit ultrasonic waves to a region of interest and receive echo signals of the ultrasonic waves;
  • a data processor configured to obtain ultrasonic echo data for performing ultrasonic detection on a region of interest, and generate an elastic image according to the ultrasonic echo data; the data processor is further configured to elasticize the frame according to the ultrasonic echo data that generates the elastic image
  • the credibility of the image is evaluated to obtain the credibility evaluation result of the elastic image of the frame, and whether the evaluation result is qualified. If the evaluation is qualified, the elastic image is output to a display for display, otherwise, the output is related to the elasticity. Relevant information about image failure;
  • a human-computer interaction device which includes a display, and the display is signal-connected to a data processor, and is configured to display an elastic image output by the data processor and / or related prompt information that is inconsistent with the elastic image.
  • an ultrasonic elastography apparatus including:
  • An ultrasound probe configured to transmit an ultrasound wave to a region of interest in a biological tissue, and receive an echo of the ultrasound wave
  • Memory for storing programs and data
  • a data processor is configured to implement the foregoing method by executing a program stored in the memory.
  • an embodiment provides a computer-readable storage medium, where the medium includes a program, and the program can be executed by a data processor to implement the foregoing method.
  • the credibility of the elastic image frame can be evaluated, and the user can be prompted with information about the credibility of the elastic image, so that the user can make a selection based on the credibility, or it can be directly considered after screening or judgment.
  • Elastic images with high credibility are directly output, thereby avoiding manual judgment of credibility of elastic images, which can reduce the work difficulty of users and obtain elastic images with high credibility.
  • FIG. 1 is a schematic structural diagram of an ultrasonic elasticity measuring device in an embodiment
  • FIG. 2 is a schematic structural diagram of an ultrasonic elasticity measuring device in an embodiment
  • FIG. 3 is a schematic flowchart of performing an ultrasonic elasticity image optimization in an embodiment
  • FIG. 4a and FIG. 4b are schematic diagrams of a preferred elastic image in an embodiment
  • 5a and 5b are schematic diagrams showing a line chart and a histogram of an evaluation result in an embodiment
  • FIG. 6 is a schematic structural diagram of an ultrasonic elasticity measuring device in an embodiment
  • FIG. 7 is a schematic flowchart of performing an ultrasonic elasticity image optimization in an embodiment
  • FIG. 8 is a schematic structural diagram of an ultrasonic elasticity measuring device in an embodiment
  • FIG. 9 is a schematic flowchart of performing an ultrasonic elasticity image in an embodiment.
  • connection and “connection” in this application include direct and indirect connections (connections) unless otherwise specified.
  • the evaluation result can be directly output for the user
  • one or more trusted frames are preferably selected from the multiple elastic image frames, or one or more trusted frames are directly determined from the multiple elastic image frames according to the evaluation results and output to the user, or the user is shown the composition An elastic image with credibility prompt information, so that the user can determine whether to adopt the frame elastic image based on the credibility.
  • the preferred elastic image is output to the display, so that the user can diagnose based on the selected trusted frame, or perform further analysis and processing, such as measuring the hardness value of the lesion area, analyzing the color distribution of the lesion area, etc. It may exclude the subjectivity of users when taking pictures or measuring hardness, making the diagnosis more objective and easy.
  • an ultrasonic elasticity measuring device 100 includes an ultrasonic probe 101, a transmission sequence controller 102, a transmitting and receiving circuit 103, an echo signal processor 104, a data processor 105, a display device 106, and a memory 107.
  • the transmission sequence controller 102 is signal-connected to the ultrasonic probe 101 through the transmitting and receiving circuit 103
  • the ultrasonic probe 101 is signal-connected to the echo signal processor 104 through the transmitting and receiving circuit 103
  • the output end of the echo signal processor 104 is connected to the data processor.
  • 105 is connected, and the output end of the data processor 105 is connected to the display device 106.
  • the memory 107 is connected to the data processor 105.
  • the ultrasound probe 101 is used to implement the mutual conversion of electrical pulse signals and ultrasound waves, thereby transmitting ultrasound waves to a detected biological tissue (such as biological tissue in a human body or an animal body) 108 and receiving ultrasonic echoes reflected by the tissue.
  • the ultrasound probe 101 includes multiple array elements, which are also referred to as ultrasonic transducers.
  • the multiple array elements are arranged in a row to form a linear array, or are arranged in a two-dimensional matrix to form a surface array.
  • a convex array can also be constructed.
  • the array element is used for transmitting ultrasonic waves according to the excitation electric signal, or transforming the received ultrasonic waves into electric signals.
  • each array element can be used to transmit ultrasonic waves to biological tissues in the region of interest, and can also be used to receive ultrasonic echoes returned by the tissue.
  • ultrasonic detection it is possible to control which array elements are used to transmit ultrasonic waves, which array elements are used to receive ultrasonic waves, or to control the array elements to be used to transmit ultrasonic waves or receive ultrasonic echoes by transmitting and receiving sequences. All array elements participating in ultrasonic emission can be simultaneously excited by electrical signals, thereby transmitting ultrasonic waves simultaneously; or the array elements participating in ultrasonic emission can also be excited by several electrical signals with a certain time interval, thereby continuously transmitting ultrasonic waves with a certain time interval.
  • the transmission sequence controller 102 generates a transmission sequence and outputs the transmission sequence to an ultrasound probe.
  • the transmission sequence is used to control part or all of multiple array elements to transmit ultrasonic waves to biological tissues in the region of interest.
  • the transmission sequence also provides parameters for transmitting ultrasonic waves. (Such as amplitude, frequency, number of waves, wave angle, wave pattern, etc.).
  • the transmitting and receiving circuit 103 is connected between the ultrasonic probe and the transmitting sequence controller 102 and the echo signal processor 104, and is used for transmitting the transmitting sequence of the transmitting sequence controller 102 to the ultrasonic probe 101 and transmitting the received signal by the ultrasonic probe 101.
  • the ultrasonic echo signal is transmitted to the echo signal processor 104.
  • the echo signal processor 104 is configured to process an ultrasonic echo signal, for example, perform processing such as filtering, amplification, and beam combining on the ultrasonic echo signal to obtain ultrasonic echo data.
  • the echo signal processor 104 may output the ultrasonic echo data to the data processor 105, or may store the ultrasonic echo data in the memory 107 first.
  • the data processor 105 reads the ultrasonic echo data from the memory 107.
  • the memory 107 is used to store data and programs, and the programs may include a system program of an ultrasound device, various application programs, or algorithms that implement various specific functions.
  • the data processor 105 is configured to acquire ultrasonic echo data and obtain relevant parameters or images by using a related algorithm. For example, the data processor 105 may generate an ultrasound image according to the ultrasound echo data, or generate an elastic image according to the ultrasound echo data, and the ultrasound echo data at different times may generate different elastic image frames. In this embodiment, the data processor 105 may also evaluate the credibility of the elastic image according to the ultrasound echo data, obtain the credibility evaluation result of the elastic image of the frame, and determine a preferred elastic image frame based on the evaluation result. Either intelligently prompting which frame is the preferred elastic image frame, or directly outputting the evaluation result of the elastic image of the frame, so that the user can intuitively view the credibility of the elastic image of the frame, or intelligently output the credible elastic image. In a specific embodiment, the data processor 105 may be a processor chip, and various functions are implemented by executing programs stored in the memory 107. The data processor 105 may also be an FPGA, or its functions may be implemented by discrete components.
  • the display 106 is used to display an elastic image, an evaluation result, and / or various prompt information output by the data processor.
  • the content displayed on the display 106 can be expressed in the form of images, text, numbers, graphics, or charts.
  • the display 106 is a part of the human-computer interaction device.
  • the human-machine interaction device may further include an input device, such as a keyboard, a mouse, a trackball, or a touch screen.
  • an intelligent frame selection mode may be designed. When this mode is performed, the user may be allowed to detect and generate multi-frame elastic images, evaluate the credibility of the multi-frame elastic images, and from the multi-frame elastic images based on the evaluation results. It is determined that an elastic image is preferred.
  • an ultrasonic elasticity measuring device 200 may include an ultrasonic probe 201, a transmission sequence controller 202, a transmitting and receiving circuit 203, an echo signal processor 204, a data processor 205, a display device 206, and a memory. 207.
  • the data processor 205 may include an acquisition unit 2051, an elastic image generation unit 2052, an evaluation unit 2053, and a frame selection unit 2054.
  • the obtaining unit 2051 is configured to obtain ultrasound echo data of the same region of interest for generating multiple frames of elastic images
  • the elastic image generating unit 2052 is configured to generate elastic images based on the ultrasonic echo data
  • the evaluation unit 2053 is configured to generate the elastic images according to the generated elastic images.
  • the ultrasonic echo data evaluates the credibility of the frame elastic image to obtain the credibility evaluation result of the multi-frame elastic image; the frame selection unit 2054 is used to prompt the preferred elastic image based on the evaluation result or determine the preference from the multi-frame elastic image.
  • Elastic image
  • FIG. 3 A preferred method for performing an ultrasonic elasticity image based on the ultrasonic elasticity measuring device according to this embodiment is shown in FIG. 3 and may include the following processes:
  • Step 10 Enter the intelligent frame selection mode.
  • the user can enter the smart frame selection mode by pressing a button on the ultrasound device or an icon on the display screen.
  • this mode multiple ultrasonic echo data will be received, and according to the multiple ultrasonic echoes,
  • the wave data generates multiple frames of elastic images, and multiple ultrasonic echo data and frame data of multiple frames of elastic images are temporarily stored.
  • Step 11 Transmit ultrasonic waves to the region of interest of the biological tissue to be detected according to the transmission sequence, and receive echoes of the ultrasonic waves.
  • Different types of elastic image generation methods are different. For example, when the type of elastic image is a strain elastic image, the user needs to press the detected biological tissue with a probe to cause a certain deformation of the tissue. The area of interest transmits ultrasonic waves and receives echoes of the ultrasonic waves to obtain ultrasonic echo signals before and after tissue deformation.
  • the user When the type of the elastic image is a shear wave elastic image, the user generates a shear wave in the tissue by vibrating the probe or transmitting a pulsed ultrasonic wave that promotes tissue displacement, and then transmits the ultrasonic wave to the path that the shear wave travels, and continues to emit for a period of time. At the same time, the echo of the ultrasonic wave is received.
  • step 12 the echo signals of the ultrasonic waves are processed.
  • the ultrasonic echo signal is filtered, amplified, and beam-synthesized to obtain ultrasonic echo data.
  • Step 13 Generate an elastic image according to the ultrasound echo data.
  • Step 14 Save the ultrasonic echo data and the frame data of the elastic image.
  • Step 15 Calculate the credibility evaluation result of the elastic image.
  • the credibility of the elastic image in the frame is evaluated based on the ultrasonic echo data of the generated elastic image, and the credibility evaluation result of the multi-frame elastic image is obtained.
  • the deformation intensity of the frame elastic image is calculated according to the ultrasonic echo data, and the credibility of the frame elastic image is evaluated according to the deformation intensity.
  • the deformation intensity includes the overall strain of one frame of the elastic image; when the type of the elastic image is a shear wave elastic image, the deformation intensity includes a shear wave amplitude.
  • the deformation uniformity of the frame elastic image is calculated according to the ultrasonic echo data, and the credibility of the frame elastic image is evaluated based on the deformation uniformity.
  • the deformation uniformity refers to the difference in the strain amount of different regions in an elastic image;
  • the deformation uniformity refers to a shear wave form.
  • the signal quality of the ultrasonic echo data that generates the elastic image is detected, and the credibility of the frame elastic image is evaluated according to the signal quality.
  • the signal quality includes the signal-to-noise ratio and / or correlation of the ultrasonic echo signal. Sex.
  • the type of the elastic image may be automatically determined, and then the credibility evaluation result of the elastic image may be calculated according to the type of the elastic image, which may specifically include the following steps: determining the type of the elastic image; determining the applicable according to the type of the elastic image At least one evaluation standard, the evaluation standard is a preset evaluation standard applicable to the elastic image type, or an evaluation standard determined according to a user's selection; according to the evaluation standard and based on the ultrasonic echo data of each frame of the elastic image generated Calculate the evaluation parameters of the elastic image; compare the evaluation parameters of the elastic image with the evaluation standard to obtain the credibility evaluation result of the elastic image.
  • the applicable evaluation criteria include:
  • the calculation process of the overall strain variable is as follows: the length change of each local area in the region of interest is calculated based on the ultrasonic echo data that generates the elastic image, and the strain amount of the local area is calculated according to the length change.
  • ⁇ is a strain variable
  • L0 is the length of a local region in the region of interest before tissue deformation
  • L1 is the length of the same local region in the region of interest after tissue deformation.
  • each frame of the elastic image corresponds to a global strain.
  • the total strain of each frame of the elastic image is compared with a preset range, and different ratings are given when the strain falls into different ranges. For example, when the normal strain is in the range of 0.5% -1%, the score is 100 points. When the strain variable is in the range of 0.1% -0.5%, the score is 50 points, and when the strain variable is less than 0.1%, the score is 0 points. When the dependent variable is higher than 1%, the score is 0 points.
  • the above scoring method is only an example. In fact, corresponding scores in different ranges can be set according to different corresponding curves.
  • the maximum score is not limited to the setting of 100 points. For example, it is changed to 1, or the evaluation result is not a score, but a grade, such as A, B, C, D, and so on.
  • the calculation of the deformation uniformity includes: calculating the local strain of a frame of elastic image according to the ultrasonic echo data, dividing the frame of the elastic image into left and right parts, and averaging the strain variables of the local areas of the left and right parts to obtain the left and right two. Part of the overall strain, the difference or score of the overall strain of the left and right parts is calculated to obtain the difference of the global strain of the left and right parts, and the deformation uniformity is obtained.
  • the left and right strain variables are compared as a whole.
  • the global strain variables in the other two specified local regions may also be used for comparison to obtain the deformation uniformity.
  • the evaluation parameter is the signal quality
  • the signal quality includes the signal-to-noise ratio and / or correlation of the ultrasonic echo signal.
  • the signal-to-noise ratio refers to the signal-to-noise ratio of the ultrasonic echo signal that generates the elastic image.
  • the larger the signal-to-noise ratio the higher the evaluation score, and the better the quality of the generated elastic image. Conversely, the smaller the signal-to-noise ratio and the lower the evaluation score, the worse the quality of the generated elastic image.
  • Correlation refers to the cross-correlation or auto-correlation of ultrasonic echo signals that generate elastic images, and reflects the degree of correlation between the two signals. Correlation can be calculated using the number of correlations, SAD and other algorithms. The greater the correlation, the more accurate the strain calculation, so the higher the evaluation score, the lower the evaluation score.
  • the applicable evaluation criteria include:
  • the evaluation parameter is the amplitude of the shear wave.
  • the calculation of the evaluation parameters of the elastic image frame includes: calculating the displacement of each particle in the region of interest according to the ultrasonic echo data of the elastic image frame data, and finding the point with the largest displacement As the shear wave amplitude. The larger the amplitude of the shear wave, the less likely the generated shear wave will be disturbed and the more accurate the detection result. Therefore, different scores are set according to the magnitude of the generated shear wave. For example, if the overall amplitude is large, the score is higher, and if the overall amplitude is less than a preset, the score is 0.
  • the shape of the shear wave includes the displacement curve, velocity curve, and / or acceleration curve of each particle in the region of interest when the shear wave passes.
  • the calculation of the shear wave morphological parameters includes: calculating the displacement of each particle in the region of interest at different times according to the ultrasonic echo data generating the elastic image frame data, obtaining the displacement curve of each particle, and deriving the displacement curve with time to obtain the velocity Curve, the speed curve is derived from time to get the acceleration curve. If the curve is smooth and there is less noise and jump, a higher score will be given.
  • the signal quality includes the signal-to-noise ratio and / or correlation of the ultrasound echo signals. Different scores are set according to the signal-to-noise ratio of the ultrasonic echo signal carrying shear wave propagation information. If the signal-to-noise ratio of the echo signal is too low, the score is low, and the signal-to-noise ratio is high, the score is high.
  • the credibility score of the elastic image is a weighted sum of multiple scores obtained according to the multiple evaluation criteria.
  • step 16 it is judged whether to end the detection.
  • the judgment condition may be a preset number of detections in this mode, that is, the detection is automatically ended when the predetermined number of detections is reached, and step 17 is executed. If the conditions for ending the detection have not been met, continue to step 11.
  • the judgment condition may also be an instruction input by the user, for example, the user inputs an instruction to end the detection through a button on the ultrasound device or an icon or selection on the display screen.
  • the prompting method includes: combining multiple frames of elastic image data with respective evaluation results, and outputting the combined multiple images to a display for display.
  • a display for display As shown in FIG. 4a, multiple thumbnails corresponding to multiple frames of elastic images are displayed on the display interface.
  • the thumbnails can be reduced images of elastic images, or they can be just a box on each thumbnail (such as the upper right corner).
  • Display the credibility evaluation result of the elastic image so that the user can intuitively view the credibility evaluation result of each frame of the elastic image. As shown in FIG.
  • the synthesized multiple images may be displayed in a tile, or the synthesized multiple images may be displayed in an overlapping manner, or the synthesized multiple images may be displayed according to a user's switching instruction. The images are displayed in order.
  • the prompting method includes: generating a visual evaluation statistical chart based on the evaluation results of the multi-frame elastic images, and marking a frame or a group of elastic images with the best evaluation results on the evaluation statistical charts. If there are multiple scoring standards, different weighting factors can be set according to the importance of each scoring standard to obtain a final score. According to the difference of the final score of each frame, find the frame with the highest score as the best frame and prompt it to the user. Or you can find out multiple frames whose score exceeds a certain threshold (such as more than 80 points) and prompt the user. For example, the scores of the evaluation results are generated into a line chart or a histogram according to the generation sequence of the multi-frame elastic images. As shown in FIG. 5a and FIG.
  • the evaluation result may not be converted into a score.
  • a coordinate corresponding to the elastic image of each frame is established, and the evaluation result of each frame is marked on the coordinate.
  • it is represented by different colors.
  • the corresponding color of the coming frame is green, and other colors are gray, etc. In this way, the user can also intuitively see which frame of the elasticity image has the best credibility evaluation result.
  • Step 18 Determine a preferred elastic image based on the user's selection.
  • Step 19 Output the preferred elasticity image to the display for display, so that subsequent users can perform elasticity analysis of the region of interest according to the preferred elasticity image, for example, perform strain ratio analysis and statistical analysis of the hardness value of the lesion area (such as maximum value, Minimum, mean, median, etc.), histogram analysis of the elasticity parameters of the lesion area, and so on.
  • elasticity analysis for example, perform strain ratio analysis and statistical analysis of the hardness value of the lesion area (such as maximum value, Minimum, mean, median, etc.), histogram analysis of the elasticity parameters of the lesion area, and so on.
  • the above-mentioned preferred frame may be one frame or multiple frames.
  • the user can select one or more frames in the preferred frame for diagnosis according to the prompt result.
  • the system can also give a warning prompt.
  • the best elastic frame or group of elastic images can be directly found from the multiple frames of elastic images based on the evaluation result, and then the optimal elastic image is output to the display for display. .
  • the credibility of the obtained elastic image can be automatically judged, and the elastic image with good credibility can be presented to the user or directly output to the user, without manually judging whether the elastic image is credible, which avoids user judgment Subjective factors, which can not only reduce the user's work difficulty, but also obtain a highly reliable elastic image.
  • step 16 may also be omitted, and the number of detections of the user is not limited. Instead, each time an elastic image is generated, the reliability of the elastic image is evaluated, and the evaluation result and the elastic image are simultaneously At the same time, it is displayed that the user can immediately determine whether to use the frame elastic image as a subsequent diagnosis basis according to the credibility evaluation result of the frame elastic image.
  • an ultrasonic elasticity measuring device 300 may include an ultrasonic probe 301, a transmission sequence controller 302, a transmitting and receiving circuit 303, an echo signal processor 304, a data processor 305, a display device 306, and Memory 307.
  • the data processor 305 includes an acquisition unit 3051, an elastic image generation unit 3052, an evaluation unit 3053, and a display unit 3054.
  • the obtaining unit 3051 is configured to obtain ultrasonic echo data for performing ultrasonic detection on a region of interest;
  • the elastic image generating unit 3052 is configured to generate an elastic image according to the ultrasonic echo data;
  • the evaluation unit 3053 is configured to pair the ultrasonic echo data with the generated elastic image.
  • the credibility of the frame elastic image is evaluated to obtain the credibility evaluation result of the frame elastic image;
  • the display unit 3054 is configured to output the elastic image to a display for display, and associate the evaluation result with the elastic image Displaying to indicate the credibility of the elastic image.
  • the method for prompting an ultrasonic elasticity image based on the ultrasonic elasticity measuring device may be shown in FIG. 7 and includes the following processes:
  • Step 20 Transmit an ultrasonic wave to a region of interest of the biological tissue to be detected according to the transmission sequence, and receive an echo of the ultrasonic wave.
  • step 21 the echo signals of the ultrasonic waves are processed.
  • Step 22 Generate an elastic image according to the ultrasonic echo data.
  • Step 23 Output the elastic image to a display for display.
  • Step 24 Evaluate the credibility of the frame elastic image according to the ultrasound echo data of the generated elastic image, and obtain the credibility evaluation result of the frame elastic image.
  • Step 25 Display the evaluation result in association with the elastic image to prompt the credibility of the elastic image.
  • the associated display includes any of the following:
  • the evaluation result is displayed. For example, after the user moves the cursor to the currently displayed elastic image, the evaluation result of the elastic image of the frame pops up near the cursor.
  • the displayed evaluation result may be a credibility score of the elastic image, a credibility level, or prompt information indicating that the credibility is qualified or unqualified.
  • each time a user generates a frame of elastic images he can intuitively see the credibility evaluation result of the frame of elastic images, thereby determining whether to use the frame of elastic images as a basis for subsequent diagnosis.
  • an ultrasonic elasticity measuring device 400 may include an ultrasonic probe 401, a transmission sequence controller 402, a transmitting and receiving circuit 403, an echo signal processor 404, a data processor 405, a display device 406, and Memory 407.
  • the data processor 405 includes an acquisition unit 4051, an elastic image generation unit 4052, an evaluation unit 4053, and a determination unit 4054.
  • the obtaining unit 4051 is configured to obtain ultrasonic echo data for performing ultrasonic detection on a region of interest; the elastic image generating unit 4052 is configured to generate elastic images based on the ultrasonic echo data; and the evaluation unit 4053 is configured to compare the ultrasonic echo data with the generated elastic images.
  • the credibility of the frame elastic image is evaluated to obtain the credibility evaluation result of the frame elastic image; the judging unit 4054 is used to determine whether the evaluation result is qualified, and if it is qualified, the elastic image generating unit 4052 is notified to send the elastic image Output to the display for display; otherwise, the judging unit 4054 outputs relevant prompt information related to the failure of the elastic image.
  • the method for displaying an ultrasonic elasticity image based on the ultrasonic elasticity measuring device may be shown in FIG. 9 and includes the following processes:
  • Step 30 Transmit an ultrasonic wave to a region of interest of the biological tissue to be detected according to the transmission sequence, and receive an echo of the ultrasonic wave.
  • step 31 the echo signals of the ultrasonic waves are processed.
  • Step 32 Generate an elastic image according to the ultrasonic echo data.
  • Step 33 Evaluate the credibility of the frame elastic image according to the ultrasound echo data that generates the elastic image, and obtain the credibility evaluation result of the frame elastic image.
  • step 34 it is determined whether the evaluation result is qualified. If the evaluation result is qualified, step 35 is performed; otherwise, step 36 is performed.
  • Step 35 Output the elastic image to a display for display.
  • step 36 a prompt message related to the failure of the elastic image is output. For example, the user is prompted to fail the elastic image of the frame, and the user is required to test again.
  • the system automatically determines the credibility of the generated elastic image, and directly presents the elastic image with qualified credibility to the user, without requiring the user to perform manual judgment.
  • the storage medium may include a read-only memory, RAM, disk or CD, etc.
  • any tangible, non-transitory computer-readable storage medium can be used, including magnetic storage devices (hard disks, floppy disks, etc.), optical storage devices (CD-ROM, DVD, Blu Ray, etc.), flash memory, and / or the like .
  • These computer program instructions can be loaded on a general-purpose computer, special-purpose computer, or other programmable data processing device to form a machine, so that these instructions executed on the computer or other programmable data processing device can generate a device that implements a specified function.
  • Computer program instructions can also be stored in a computer-readable memory, which can instruct a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory can form one piece Articles of manufacture, including implements that implement specified functions.
  • Computer program instructions can also be loaded onto a computer or other programmable data processing device, thereby performing a series of operating steps on the computer or other programmable device to produce a computer-implemented process, such that Instructions can provide steps for implementing specified functions.
  • the term “including” and any other variations thereof are non-exclusive inclusions, such that a process, method, article, or device that includes a list of elements includes not only those elements but also those that are not explicitly listed or are not part of the process , Method, system, article, or other element of equipment.
  • the term “coupled” and any other variations thereof as used herein refers to a physical connection, an electrical connection, a magnetic connection, an optical connection, a communication connection, a functional connection, and / or any other connection.

Abstract

一种超声弹性成像装置及对弹性图像进行处理的方法，该方法包括：根据生成弹性图像的超声回波数据对每帧弹性图像的可信度进行评价，基于评价结果向用户展示关于弹性图像的可信度的提示信息，以便用户基于可信度进行选择，或直接将筛选或判断后认为可信度高的弹性图像直接输出，从而避免了采用人工对弹性图像的可信度进行判断，既能降低用户的工作难度，又能得到可信度高的弹性图像。

Description

一种超声弹性成像装置及对弹性图像进行处理的方法 技术领域
本发明涉及超声设备，具体涉及一种超声弹性成像装置及对弹性图像进行处理的方法。
背景技术
超声弹性成像是近年来临床研究关心的热点之一，主要反映组织的弹性或软硬程度，在组织癌症病变的辅助检测、良恶性判别、预后恢复评价等方面得到越来越多的应用。
超声弹性成像通常包括应变弹性成像和剪切波弹性成像。
应变弹性成像方法主要通过探头按压组织产生一定的形变，再将应变量、应变率等与组织弹性相关的应变参数计算出来并成像，根据弹性图像上应变量或应变率的分布间接反映不同组织间的弹性差异。由于应变参数对压力敏感，因此这种方法中通过探头施加的压力需要尽量均匀稳定，从而对操作者的手法提出了较高的要求。但每次操作很难保证压力符合要求，因此所生成的弹性图像是否能作为诊断的依据也给医生带来很大困扰。
剪切波成像方法主要通过探头发射脉冲波，产生在组织内部传播的剪切波，并检测剪切波的传播参数(比如传播速度)，然后根据剪切波传播路径上各部分的传播参数进行成像，根据图像上剪切波的传播参数(比如传播速度)的分布间接反映不同组织间的硬度差异。由于不再依赖操作者对组织的特定施压，这种弹性成像方式在稳定性和重复性方面均有所改善，而且定量的测量结果使得医生的诊断更加方便客观，受到医生的广泛关注和欢迎。但是，目前的剪切波弹性成像技术，由于组织中的剪切波非常微弱，容易受到病人呼吸、心跳、血管搏动、探头移动等干扰的影响，因此所生成的弹性图像是否能作为诊断的依据，同样给医生带来一定的困扰。
发明内容
本发明主要解决的技术问题是提供一种超声弹性成像装置及对弹性 图像进行处理的方法，优化弹性图像的处理。
根据第一方面，一种实施例中提供一种对超声弹性图像的处理方法,包括：
获取同一感兴趣区域的用于生成多帧弹性图像的超声回波数据；
根据生成弹性图像的超声回波数据对每帧弹性图像的可信度进行评价，得到多帧弹性图像的可信度评价结果；
基于评价结果提示优选弹性图像或从多帧弹性图像中确定优选弹性图像。
根据第二方面，一种实施例中提供一种对超声弹性图像的处理方法,包括：
获取对感兴趣区域进行超声检测的超声回波数据；
根据超声回波数据生成弹性图像；
将所述弹性图像输出到显示器以进行显示；
根据生成弹性图像的超声回波数据对该帧弹性图像的可信度进行评价，得到该帧弹性图像的可信度评价结果；
将评价结果与所述弹性图像进行关联显示，以对所述弹性图像的可信度进行提示。
根据第三方面，一种实施例中提供一种对超声弹性图像的处理方法,包括：
获取对感兴趣区域进行超声检测的超声回波数据；
根据超声回波数据生成弹性图像；
根据生成弹性图像的超声回波数据对该帧弹性图像的可信度进行评价，得到该帧弹性图像的可信度评价结果；
判断所述评价结果是否合格，如果合格则将所述弹性图像输出到显示器以进行显示，否则，输出与弹性图像不合格的相关提示信息。
根据第四方面，一种实施例中提供一种超声弹性成像装置，包括：
超声探头，用于向生物组织内的感兴趣区域发射用于超声波，并接收超声波的回波信号；
发射序列控制器，用于产生发射序列，并将发射序列输出至超声探头，控制超声探头向感兴趣区域发射超声波并接收超声波的回波信号；
数据处理器，用于获取同一感兴趣区域的多帧超声回波数据，根据 生成弹性图像的超声回波数据对该帧弹性图像的可信度进行评价，得到多帧弹性图像的可信度评价结果，基于评价结果提示优选弹性图像或从多帧弹性图像中确定优选弹性图像；
人机交互设备，所述人机交互设备包括显示器，所述显示器和数据处理器信号相连，用于显示数据处理器输出的弹性图像和/或评价结果。
根据第五方面，一种实施例中提供一种超声弹性成像装置，包括：
超声探头，用于向生物组织内的感兴趣区域发射用于超声波，并接收超声波的回波信号；
发射序列控制器，用于产生发射序列，并将发射序列输出至超声探头，控制超声探头向感兴趣区域发射超声波并接收超声波的回波信号；
数据处理器，用于获取对感兴趣区域进行超声检测的超声回波数据，根据超声回波数据生成弹性图像，并将所述弹性图像输出到显示器以进行显示；所述数据处理器还用于根据生成弹性图像的超声回波数据对该帧弹性图像的可信度进行评价，得到该帧弹性图像的可信度评价结果，将评价结果与所述弹性图像进行关联显示，以对所述弹性图像的可信度进行提示；
人机交互设备，所述人机交互设备包括显示器，所述显示器和数据处理器信号相连，用于显示数据处理器输出的弹性图像和/或评价结果。
根据第六方面，一种实施例中提供一种超声弹性成像装置，包括：
超声探头，用于向生物组织内的感兴趣区域发射用于超声波，并接收超声波的回波信号；
发射序列控制器，用于产生发射序列，并将发射序列输出至超声探头，控制超声探头向感兴趣区域发射超声波并接收超声波的回波信号；
数据处理器，用于获取对感兴趣区域进行超声检测的超声回波数据，根据超声回波数据生成弹性图像；所述数据处理器还用于根据生成弹性图像的超声回波数据对该帧弹性图像的可信度进行评价，得到该帧弹性图像的可信度评价结果，判断所述评价结果是否合格，如果合格则将所述弹性图像输出到显示器以进行显示，否则，输出与所述弹性图像不合格的相关提示信息；
人机交互设备，所述人机交互设备包括显示器，所述显示器和数据处理器信号相连，用于显示数据处理器输出的弹性图像和/或与所述弹性图像不合格的相关提示信息。
根据第七方面，一种实施例中提供一种超声弹性成像装置，包括：
超声探头，用于向生物组织内的感兴趣区域发射超声波，并接收所述超声波的回波；
存储器，用于存储程序和数据；
数据处理器，用于通过执行所述存储器存储的程序以实现上述的方法。
根据第八方面，一种实施例中提供一种计算机可读存储介质，所述介质中包括程序，所述程序能够被数据处理器执行以实现上述的方法。
依据上述实施例，可对弹性图像帧的可信度进行评价，可以向用户展示关于弹性图像的可信度的提示信息，以便用户基于可信度进行选择，也可以直接将筛选或判断后认为可信度高的弹性图像直接输出，从而避免了采用人工对弹性图像的可信度进行判断，既能降低用户的工作难度，又能得到可信度高的弹性图像。
附图说明
图1为一种实施例中超声弹性测量装置的结构示意图；
图2为一个实施例中的超声弹性测量装置的结构示意图；
图3为一个实施例中的对超声弹性图像进行优选的流程示意图；
[根据细则91更正 26.09.2018]　
图4a、图4b为一个实施例中的提示优选弹性图像的示意图；
[根据细则91更正 26.09.2018]　
图5a、图5b为一个实施例中的显示评价结果的折线图和直方图的示意图；
图6为一个实施例中的超声弹性测量装置的结构示意图；
图7为一个实施例中的对超声弹性图像进行优选的流程示意图；
图8为一个实施例中的超声弹性测量装置的结构示意图；
图9为一个实施例中的对超声弹性图像进行优选的流程示意图。
具体实施方式
下面通过具体实施方式结合附图对本发明作进一步详细说明。其中不同实施方式中类似元件采用了相关联的类似的元件标号。在以下的实施方式中，很多细节描述是为了使得本申请能被更好的理解。然而，本领域技术人员可以毫不费力的认识到，其中部分特征在不同情况下是可以省略的，或者可以由其他元件、材料、方法所替代。在某些情况下， 本申请相关的一些操作并没有在说明书中显示或者描述，这是为了避免本申请的核心部分被过多的描述所淹没，而对于本领域技术人员而言，详细描述这些相关操作并不是必要的，他们根据说明书中的描述以及本领域的一般技术知识即可完整了解相关操作。
另外，说明书中所描述的特点、操作或者特征可以以任意适当的方式结合形成各种实施方式。同时，方法描述中的各步骤或者动作也可以按照本领域技术人员所能显而易见的方式进行顺序调换或调整。因此，说明书和附图中的各种顺序只是为了清楚描述某一个实施例，并不意味着是必须的顺序，除非另有说明其中某个顺序是必须遵循的。
本文中为部件所编序号本身，例如“第一”、“第二”等，仅用于区分所描述的对象，不具有任何顺序或技术含义。而本申请所说“连接”、“联接”，如无特别说明，均包括直接和间接连接(联接)。
在本发明实施例中，在生成感兴趣区域的弹性图像时，对于同一感兴趣区域采集多帧超声回波数据，对每个弹性图像帧进行可信度评价，可以直接输出评价结果，以便用户根据评价结果从多个弹性图像帧中优选出一个或多个可信帧，或直接根据评价结果从多个弹性图像帧中确定出一个或多个可信帧输出给用户，或向用户展示合成有可信度提示信息的弹性图像，以便用户基于可信度确定是否采用该帧弹性图像。确定优选弹性图像后，将优选的弹性图像输出到显示器，使得用户可以基于选出的可信帧进行诊断，或者进行进一步分析处理，比如测量病灶区硬度值、分析病灶区域颜色分布等，从而尽可能的排除用户取图或者测量硬度时的主观性，使得诊断更为客观、易行。
请参考图1，本发明实施例的超声弹性测量装置100包括超声探头101、发射序列控制器102、发射和接收电路103、回波信号处理器104、数据处理器105、显示装置106和存储器107。发射序列控制器102通过发射和接收电路103与超声探头101信号连接，超声探头101通过发射和接收电路103与回波信号处理器104信号连接，回波信号处理器104的输出端与数据处理器105连接，数据处理器105的输出端与显示装置106连接。存储器107与数据处理器105连接。
超声探头101用于实现电脉冲信号和超声波的相互转换，从而实现向被检测生物组织(例如人体或动物体中的生物组织)108发射超声波并接收组织反射回的超声回波。本实施例中，超声探头101包括多个阵 元，阵元也称为超声换能器，多个阵元排列成一排构成线阵，或排布成二维矩阵构成面阵，多个阵元也可以构成凸阵列。阵元用于根据激励电信号发射超声波，或将接收的超声波变换为电信号。因此每个阵元可用于向感兴趣区域的生物组织发射超声波，也可用于接收经组织返回的超声波回波。在进行超声检测时，可通过发射序列和接收序列控制哪些阵元用于发射超声波，哪些阵元用于接收超声波，或者控制阵元分时隙用于发射超声波或接收超声回波。参与超声波发射的所有阵元可以被电信号同时激励，从而同时发射超声波；或者参与超声波发射的阵元也可以被具有一定时间间隔的若干电信号激励，从而持续发射具有一定时间间隔的超声波。
发射序列控制器102用产生发射序列，并将发射序列输出至超声探头，发射序列用于控制多个阵元的部分或者全部向感兴趣区域的生物组织发射超声波，发射序列还提供发射超声波的参数(例如幅度、频率、发波次数、发波角度、波型等)。
发射和接收电路103连接在超声探头和发射序列控制器102、回波信号处理器104之间，用于根据将发射序列控制器102的发射序列传输给超声探头101，并将超声探头101接收的超声回波信号传输给回波信号处理器104。
回波信号处理器104用于对超声回波信号进行处理，例如对超声回波信号进行滤波、放大、波束合成等处理，得到超声回波数据。在具体实施例中，回波信号处理器104可以将超声回波数据输出给数据处理器105，也可以将超声回波数据先存储在存储器107中，在需要基于超声回波数据进行运算时，数据处理器105从存储器107中读取超声回波数据。
存储器107用于存储数据和程序，程序可包括超声设备的系统程序、各种应用程序或实现各种具体功能的算法。
数据处理器105用于获取超声回波数据，并采用相关算法得到所需要的参数或图像。例如，数据处理器105可根据超声回波数据生成超声图像，或根据超声回波数据生成弹性图像，不同时刻的超声回波数据生成不同的弹性图像帧。本实施例中，数据处理器105还可根据超声回波数据对弹性图像的可信度进行评价，得到该帧弹性图像的可信度评价结果，并基于评价结果确定出优选的弹性图像帧，或智能提示哪一帧为优 选的弹性图像帧，或直接输出该帧弹性图像的评价结果，以使用户直观地查看到该帧弹性图像的可信度，或智能输出可信的弹性图像。具体实施例中，数据处理器105可以是处理器芯片，通过执行存储器107中存储的程序以实现各种功能，数据处理器105也可以是FPGA，或者也可以通过分立元件实现其功能。
显示器106用于显示数据处理器输出的弹性图像、评价结果和/或各种提示信息，显示器106显示的内容可通过图像、文字、数字、图形或图表的方式表达。显示器106属于人机交互设备中的一部分，人机交互设备还可以包括输入设备，例如键盘、鼠标、轨迹球或触摸屏等设备。
下面通过具体实施例对本发明进行阐述。
一个实施例中，可设计一智能选帧模式，当进行该模式时，可允许用户检测并生成多帧弹性图像，对多帧弹性图像的可信度进行评价，基于评价结果从多帧弹性图像中确定优选弹性图像。
请参考图2，本发明实施例的超声弹性测量装置200可以包括超声探头201、发射序列控制器202、发射和接收电路203、回波信号处理器204、数据处理器205、显示装置206和存储器207。数据处理器205可以包括获取单元2051、弹性图像生成单元2052、评价单元2053和选帧单元2054。获取单元2051用于获取同一感兴趣区域的用于生成多帧弹性图像的超声回波数据，弹性图像生成单元2052用于根据超声回波数据生成弹性图像，评价单元2053用于根据生成弹性图像的超声回波数据对该帧弹性图像的可信度进行评价，得到多帧弹性图像的可信度评价结果；选帧单元2054用于基于评价结果提示优选弹性图像或从多帧弹性图像中确定优选弹性图像。
基于本实施例的超声弹性测量装置对超声弹性图像进行优选的方法如图3所示，可以包括以下流程：
步骤10，进入智能选帧模式。用户可通过超声设备上的按键或显示屏上的图标进入智能选帧模式，本实施例中，在该模式下，将会接收到多次的超声回波数据，并根据该多次的超声回波数据生成多帧弹性图像，将多次的超声回波数据和多帧弹性图像的帧数据进行暂存。
步骤11，根据发射序列向被检测生物组织的感兴趣区域发射超声波，并接收超声波的回波。不同类型的弹性图像生成方法不同，例如，当弹性图像的类型是应变弹性图像时，用户需要通过探头按压被检测生 物组织，使组织产生一定的形变，在按压的同时向被检测生物组织的感兴趣区域发射超声波，并接收超声波的回波，得到组织形变前后的超声波的回波信号。当弹性图像的类型是剪切波弹性图像时，用户通过探头振动或发射推动组织位移的脉冲超声波在组织内产生剪切波，随即向剪切波行经的路径上发射超声波，并持续发射一段时间，同时接收超声波的回波。
步骤12，对超声波的回波信号进行处理。例如对超声回波信号进行滤波、放大、波束合成等处理，得到超声回波数据。
步骤13，根据超声回波数据生成弹性图像。
步骤14，保存超声回波数据和弹性图像的帧数据。
步骤15，计算弹性图像的可信度评价结果。根据生成弹性图像的超声回波数据对该帧弹性图像的可信度进行评价，得到多帧弹性图像的可信度评价结果。
在一种具体实施例中，根据超声回波数据计算该帧弹性图像的形变强度，根据形变强度评价该帧弹性图像的可信度。当弹性图像的类型是应变弹性图像时，形变强度包括一帧弹性图像的整体应变量；当弹性图像的类型是剪切波弹性图像时，形变强度包括剪切波幅度。
在另一种具体实施例中，根据超声回波数据计算该帧弹性图像的形变均匀性，根据形变均匀性评价该帧弹性图像的可信度。当弹性图像的类型是应变弹性图像时，形变均匀性是指一帧弹性图像中不同区域的应变量的差异；当弹性图像的类型是剪切波弹性图像时，形变均匀性是指剪切波形态。
在另一种具体实施例中，检测生成弹性图像的超声回波数据的信号质量，根据信号质量评价该帧弹性图像的可信度，信号质量包括超声回波信号的信噪比和/或相关性。
在优选的实施例中，可以自动判断弹性图像的类型，然后根据弹性图像的类型计算弹性图像的可信度评价结果，具体可包括以下步骤：判断弹性图像的类型；根据弹性图像的类型确定适用的至少一个评价标准，所述评价标准为预设的适用于该弹性图像类型的评价标准，或者是根据用户的选择确定的评价标准；根据评价标准和基于生成每帧弹性图像的超声回波数据计算该弹性图像的评价参数；将弹性图像的评价参数与评价标准比较，得出该弹性图像的可信度评价结果。
当判断弹性图像的类型是应变弹性图像时，适用的评价标准包括：
1)根据弹性图像的整体应变量大小进行评价。对于应变弹性图像，要求操作者按压时达到一定的压力，压力太大或太小都会导致测试结果不准确，因此，将感兴趣区域的整体应变量作为评价参数，评价所生成的弹性图像是否可靠。
整体应变量的计算过程如下：根据生成弹性图像的超声回波数据计算感兴趣区域中各局部区域的长度变化，根据长度变化计算出该局部区域的应变量，应变量的计算公式如下：
ε＝(L1-L0)/L0
其中，ε为应变量，L0为组织形变前感兴趣区域中某局部区域的长度，L1为组织形变后感兴趣区域中同一局部区域的长度。
然后将感兴趣区域中各局部区域的应变量进行平均，即可得到感兴趣区域的整体应变量，每帧弹性图像都对应有一个整体应变量。将每帧弹性图像整体应变量和预设范围进行比较，应变量落入不同的范围时给予不同的评分。比如正常应变量在0.5％-1％的范围内时，评分为100分。应变量在0.1％-0.5％范围内时，评分为50分，应变量低于0.1％时，评分为0分。应变量高于1％时，评分为0分。当然，上述评分法只是一个举例，实际上可以在根据不同的对应曲线来设定不同范围内对应的分值。最高分也不限定为100分的设定。比如改为1，或者评价结果不是分数，而是等级，比如A、B、C、D等。
2)根据弹性图像的应变量的均匀性进行评价。由于按压的手法影响，探头施加于组织的力度可能是不均匀的，因此，本实施例中将形变均匀性作为可信度的评价参数。最常见的是左右不均匀，一边压力大，一边压力小。
形变均匀性的计算包括：根据超声回波数据计算一帧弹性图像的各局部应变量，将一帧弹性图像分为左右两部分，将左右两部分的各局部区域的应变量进行平均得到左右两部分的整体应变量，计算左右两部分的整体应变量的差值或分值得到左右两部分的整体应变量的差异，得到形变均匀性。
本实施例将左右的应变量做一个整体的对比，在其它的实施例中，也可以采用其它两个指定局部区域中的整体应变量进行比较，得到形变均匀性。当差异超过设定阈值时，给予比较低的评分；当差异低于设定 阈值时，给予比较高的评分。
3)根据生成弹性图像的超声回波数据的信号质量进行评价。这种情况下，评价参数为信号质量，信号质量包括超声回波信号的信噪比和/或相关性。
信噪比是指生成弹性图像的超声回波信号的信号噪声比。信噪比越大，评价分数越高，生成的弹性图像的质量越好，反之，信噪比越小，评价分数越低，生成的弹性图像的质量越差。
相关性是指生成弹性图像的超声回波信号的互相关或者自相关，反映了两个信号之间的相关程度。可采用互相关系数、SAD等算法计算相关性。相关性越大，应变的计算越准确，因此评价分数越高，反之，评价分数越低。
当判断弹性图像的类型是剪切波弹性图像时，适用的评价标准包括：
1)根据产生的剪切波幅度大小进行评价。这种情况下，评价参数为剪切波幅度，弹性图像帧的评价参数的计算包括：根据生成弹性图像帧数据的超声回波数据计算感兴趣区域中各质点的位移，查找出位移最大的点作为剪切波幅度。剪切波幅度越大，所产生的剪切波越不容易受到干扰，检测结果越准确，因此，根据所产生的剪切波的幅度大小设定不同的评分。比如整体幅度大则评分较高，整体幅度小于某预置，则评分为0。
2)根据剪切波的形态进行评价。剪切波形态包括感兴趣区域内各质点在剪切波行经时的位移曲线、速度曲线和/或加速度曲线。剪切波形态参数的计算包括：根据生成弹性图像帧数据的超声回波数据计算感兴趣区域中各质点在不同时刻的位移，得到各质点的位移曲线，将位移曲线对时间求导，得到速度曲线，将速度曲线对时间求导，得到加速度曲线。曲线光滑，噪声和跳变少，则给予较高的评分。
3)根据携带剪切波传播信息的超声回波信号的信号质量进行评价。信号质量包括超声回波信号的信噪比和/或相关性。根据携带剪切波传播信息的超声回波信号的信噪比来设定不同的评分，回波信号的信噪比太低，则评分低，信噪比高，则评分高。
当评价标准为多个时，弹性图像的可信度评分为根据多个评价标准得出的多个评分的加权和。
步骤16，判断是否结束检测，判断的条件可以是该模式下预先设定 的检测次数，即当达到预定的检测次数后即自动结束检测，执行步骤17。如果还没达到结束检测的条件，则继续执行步骤11。判断的条件还可以是用户输入的一个指令，例如用户通过超声设备上的按键或显示屏上的图标或选择项输入结束检测的指令。
步骤17，基于评价结果提示优选弹性图像。在一种具体实施例中，提示方式包括：将多帧弹性图像数据分别与各自的评价结果进行合成，将合成后的多个图像输出到显示器进行显示。如图4a所示，在显示界面上显示与多帧弹性图像对应的多个缩略图，缩略图可以是弹性图像缩小后的图，也可以只是一个方框，每个缩略图上(例如右上角)显示该弹性图像的可信度评价结果，使得用户可以直观的查看到每帧弹性图像的可信度评价结果。如图4b所示，在另一种实施例中，合成后，可以只将评价结果最好的弹性图像标记出来，例如在评价结果最好的弹性图像上做标记，例如做一个星形标记。将合成后的多个图像进行显示时，可以是将合成后的多个图像平铺显示，也可以是将合成后的多个图像重叠显示，还可以是按照用户的切换指令将合成后的多个图像进行依次显示。
在另一种实施例中，提示方式包括：基于多帧弹性图像的评价结果生成可视化的评价统计图，在评价统计图上标记出评价结果最佳的一帧或一组弹性图像。如果有多个评分标准，则可以再根据各个评分标准的重要性，设定不同的加权系数，从而得到一个最终的分数。根据各帧最终分数的区别，找出分数最高的一帧作为最佳帧，提示给用户。或者可以找出分数超过一定阈值(比如超过80分)的多帧，提示给用户。例如，按照多帧弹性图像的生成顺序将其评价结果的分数生成折线图或直方图，如图5a、图5b所示，数值最大的代表评价结果最佳的一帧弹性图像。
在有的实施例中，也可以不将评价结果转换为分数，例如建立一个与各帧弹性图像相对应的坐标，在坐标上标示出各帧的评价结果，比如用不同的颜色来表示，优选出来的帧对应的颜色为绿色，其他颜色为灰色等。通过这种方式用户也可直观的查看到哪一帧弹性图像的可信度评价结果最好。
步骤18，基于用户的选择确定优选弹性图像。
步骤19，将优选弹性图像输出到显示器进行显示，以便后续用户根据优选弹性图像进行感兴趣区域的弹性分析，例如，根据优选弹性图像 进行应变比分析、病灶区硬度值统计分析(如最大值、最小值、均值、中值等)、病灶区弹性参数的直方图分析等等。
上述优选帧可以为一帧，也可以为多帧。用户可根据提示结果，选取优选帧中的一帧或多帧结果，进行诊断。此外，如果当前弹性测量结果均不可信，系统还可给出警告提示。
在另外的实施例中，在步骤16之后，可以基于评价结果从多帧弹性图像中直接找出最好的一帧或一组弹性图像作为优选弹性图像，然后将优选弹性图像输出到显示器进行显示。
通过本实施例，可以自动对得到的弹性图像判断其可信度，将可信度良好的弹性图像提示给用户或直接输出给用户，不需要人工判断弹性图像是否可信，避免了用户判断时的主观因素，既能降低用户的工作难度，又能得到可信度高的弹性图像。
在有的实施例中，也可以省略步骤16，不对用户的检测次数进行限定，而是每生成一帧弹性图像，即对该帧弹性图像的可信度进行评价，同时将评价结果与弹性图像同时显示，用户可根据该帧弹性图像的可信度评价结果即时确定是否采用该帧弹性图像作为后续的诊断依据。
请参考图6，本发明一个实施例的超声弹性测量装置300可以包括超声探头301、发射序列控制器302、发射和接收电路303、回波信号处理器304、数据处理器305、显示装置306和存储器307。数据处理器305包括获取单元3051、弹性图像生成单元3052、评价单元3053和显示单元3054。获取单元3051用于获取对感兴趣区域进行超声检测的超声回波数据；弹性图像生成单元3052用于根据超声回波数据生成弹性图像；评价单元3053用于根据生成弹性图像的超声回波数据对该帧弹性图像的可信度进行评价，得到该帧弹性图像的可信度评价结果；显示单元3054用于将所述弹性图像输出到显示器进行显示，并将评价结果与所述弹性图像进行关联显示，以对所述弹性图像的可信度进行提示。
基于本实施例的超声弹性测量装置对超声弹性图像进行提示的方法可以如图7所示，包括以下流程：
步骤20，根据发射序列向被检测生物组织的感兴趣区域发射超声波，并接收超声波的回波。
步骤21，对超声波的回波信号进行处理。
步骤22，根据超声回波数据生成弹性图像。
步骤23，将弹性图像输出到显示器以进行显示。
步骤24，根据生成弹性图像的超声回波数据对该帧弹性图像的可信度进行评价，得到该帧弹性图像的可信度评价结果。
步骤25，将评价结果与所述弹性图像进行关联显示，以对所述弹性图像的可信度进行提示。
关联显示包括以下方式中的任一种：
1)将评价结果与弹性图像同屏显示。例如，将评价结果显示在弹性图像的右上角。
2)点击显示界面上的预定区域后弹出评价结果。例如用户可点击显示界面上的弹性图像，点击后弹出该帧弹性图像的评价结果。在另一实施例中，也可以在显示界面上设计一“可信度”的图标，用户点击“可信度”的图标后，弹出当前显示的弹性图像的评价结果。
3)光标移到预定区域后显示评价结果。例如用户将光标移到当前显示的弹性图像上后，在光标附近弹出该帧弹性图像的评价结果。
本实施例中，显示的评价结果可以是弹性图像的可信度分数，也可以是可信度等级，或者表示可信度合格或不合格的提示信息。
本实施例中，步骤23和24的时序可以调换。
本实施例中，用户每生成一帧弹性图像，都可直观地看到该帧弹性图像的可信度评价结果，从而确定是否采用该帧弹性图像作为后续诊断的依据。
请参考图8，本发明一个实施例的超声弹性测量装置400可以包括超声探头401、发射序列控制器402、发射和接收电路403、回波信号处理器404、数据处理器405、显示装置406和存储器407。数据处理器405包括获取单元4051、弹性图像生成单元4052、评价单元4053和判断单元4054。获取单元4051用于获取对感兴趣区域进行超声检测的超声回波数据；弹性图像生成单元4052用于根据超声回波数据生成弹性图像；评价单元4053用于根据生成弹性图像的超声回波数据对该帧弹性图像的可信度进行评价，得到该帧弹性图像的可信度评价结果；判断单元4054用于判断所述评价结果是否合格，如果合格则通知弹性图像生成单元4052将所述弹性图像输出到显示器以进行显示，否则，判断单元4054输出与所述弹性图像不合格的相关提示信息。
基于本实施例的超声弹性测量装置对超声弹性图像进行显示的方法 可以如图9所示，包括以下流程：
步骤30，根据发射序列向被检测生物组织的感兴趣区域发射超声波，并接收超声波的回波。
步骤31，对超声波的回波信号进行处理。
步骤32，根据超声回波数据生成弹性图像。
步骤33，根据生成弹性图像的超声回波数据对该帧弹性图像的可信度进行评价，得到该帧弹性图像的可信度评价结果。
步骤34，判断所述评价结果是否合格，如果合格则执行步骤35，否则执行步骤36。
步骤35，将弹性图像输出到显示器以进行显示。
步骤36，输出与弹性图像不合格的相关提示信息。例如提示用户该帧弹性图像不合格，请用户再测一次。
本实施例中，系统自动对生成的弹性图像进行可信度判断，直接将可信度合格的弹性图像呈现给用户，不需要用户进行人工判断。
本领域技术人员可以理解，上述实施方式中各种方法的全部或部分步骤可以通过程序来指令相关硬件完成，该程序可以存储于一计算机可读存储介质中，存储介质可以包括：只读存储器、随机存储器、磁盘或光盘等。
本文参照了各种示范实施例进行说明。然而，本领域的技术人员将认识到，在不脱离本文范围的情况下，可以对示范性实施例做出改变和修正。例如，各种操作步骤以及用于执行操作步骤的组件，可以根据特定的应用或考虑与系统的操作相关联的任何数量的成本函数以不同的方式实现(例如一个或多个步骤可以被删除、修改或结合到其他步骤中)。
另外，如本领域技术人员所理解的，本文的原理可以反映在计算机可读存储介质上的计算机程序产品中，该可读存储介质预装有计算机可读程序代码。任何有形的、非暂时性的计算机可读存储介质皆可被使用，包括磁存储设备(硬盘、软盘等)、光学存储设备(CD-ROM、DVD、Blu Ray盘等)、闪存和/或诸如此类。这些计算机程序指令可被加载到通用计算机、专用计算机或其他可编程数据处理设备上以形成机器，使得这些在计算机上或其他可编程数据处理装置上执行的指令可以生成实现指定的功能的装置。这些计算机程序指令也可以存储在计算机可读存储器中，该计算机可读存储器可以指示计算机或其他可编程数据处理设备以特定的方式运行，这样存储在计算机可读存储器中的指令就可以形成一件制造品，包括实现指定功能的实现装置。计算机程序指令也可以加 载到计算机或其他可编程数据处理设备上，从而在计算机或其他可编程设备上执行一系列操作步骤以产生一个计算机实现的进程，使得在计算机或其他可编程设备上执行的指令可以提供用于实现指定功能的步骤。
虽然在各种实施例中已经示出了本文的原理，但是许多特别适用于特定环境和操作要求的结构、布置、比例、元件、材料和部件的修改可以在不脱离本披露的原则和范围内使用。以上修改和其他改变或修正将被包含在本文的范围之内。
前述具体说明已参照各种实施例进行了描述。然而，本领域技术人员将认识到，可以在不脱离本披露的范围的情况下进行各种修正和改变。因此，对于本披露的考虑将是说明性的而非限制性的意义上的，并且所有这些修改都将被包含在其范围内。同样，有关于各种实施例的优点、其他优点和问题的解决方案已如上所述。然而，益处、优点、问题的解决方案以及任何能产生这些的要素，或使其变得更明确的解决方案都不应被解释为关键的、必需的或必要的。本文中所用的术语“包括”和其任何其他变体，皆属于非排他性包含，这样包括要素列表的过程、方法、文章或设备不仅包括这些要素，还包括未明确列出的或不属于该过程、方法、系统、文章或设备的其他要素。此外，本文中所使用的术语“耦合”和其任何其他变体都是指物理连接、电连接、磁连接、光连接、通信连接、功能连接和/或任何其他连接。
具有本领域技术的人将认识到，在不脱离本发明的基本原理的情况下，可以对上述实施例的细节进行许多改变。因此，本发明的范围应仅由以下权利要求确定。

Claims (34)

  1. 对超声弹性图像的处理方法,其特征在于包括：
    获取同一感兴趣区域的用于生成多帧弹性图像的超声回波数据；
    根据生成弹性图像的超声回波数据对每帧弹性图像的可信度进行评价，得到多帧弹性图像的可信度评价结果；
    基于评价结果提示优选弹性图像或从多帧弹性图像中确定优选弹性图像。
  2. 对超声弹性图像的处理方法,其特征在于包括：
    获取对感兴趣区域进行超声检测的超声回波数据；
    根据超声回波数据生成弹性图像；
    将所述弹性图像输出到显示器以进行显示；
    根据生成弹性图像的超声回波数据对该帧弹性图像的可信度进行评价，得到该帧弹性图像的可信度评价结果；
    将评价结果与所述弹性图像进行关联显示，以对所述弹性图像的可信度进行提示。
  3. 如权利要求2所述的方法，其特征在于，将评价结果与所述弹性图像进行关联显示包括以下方式中的任一种：
    将评价结果与所述弹性图像同屏显示；
    点击显示界面上的预定区域后弹出评价结果；
    光标移到预定区域后显示评价结果。
  4. 对超声弹性图像的处理方法,其特征在于包括：
    获取对感兴趣区域进行超声检测的超声回波数据；
    根据超声回波数据生成弹性图像；
    根据生成弹性图像的超声回波数据对该帧弹性图像的可信度进行评价，得到该帧弹性图像的可信度评价结果；
    判断所述评价结果是否合格，如果合格则将所述弹性图像输出到显示器以进行显示，否则，输出与弹性图像不合格的相关提示信息。
  5. 如权利要求1-4中任一项所述的方法，其特征在于，采用以下方式中的至少一种对弹性图像的可信度进行评价：
    根据超声回波数据计算该帧弹性图像的形变强度，根据形变强度评价该帧弹性图像的可信度；
    根据超声回波数据计算该帧弹性图像的形变均匀性，根据形变均匀 性评价该帧弹性图像的可信度；
    检测生成弹性图像的超声回波数据的信号质量，根据信号质量评价该帧弹性图像的可信度。
  6. 如权利要求5所述的方法，其特征在于，当弹性图像的类型是应变弹性图像时，形变强度包括一帧弹性图像的整体应变量，形变均匀性是指一帧弹性图像中不同区域的应变量的差异。
  7. 如权利要求5所述的方法，其特征在于，当弹性图像的类型是剪切波弹性图像时，形变强度包括剪切波幅度，形变均匀性包括剪切波形态。
  8. 如权利要求5所述的方法，其特征在于，所述信号质量包括超声回波信号的信噪比和/或相关性。
  9. 如权利要求1-4中任一项所述的方法，其特征在于，根据生成弹性图像的超声回波数据对该帧弹性图像的可信度进行评价包括：
    获取弹性图像的类型；
    根据弹性图像的类型确定适用的至少一个评价标准，所述评价标准为预设的适用于该弹性图像类型的评价标准，或者所述评价标准为根据用户的选择确定的评价标准；
    根据评价标准和基于生成每帧弹性图像的超声回波数据计算该弹性图像的评价参数；
    将弹性图像的评价参数与评价标准比较，得出该弹性图像的可信度评价结果。
  10. 如权利要求9所述的方法，其特征在于，当评价标准为多个时，弹性图像的可信度评分为根据多个评价标准得出的多个评分的加权和。
  11. 如权利要求1所述的方法，其特征在于，基于评价结果从多个弹性图像中确定优选弹性图像包括：在多个弹性图像的评价结果中找出评价结果最好的一帧或一组作为优选弹性图像，将优选弹性图像输出到显示器进行显示。
  12. 如权利要求1所述的方法，其特征在于，基于评价结果提示优选弹性图像包括：
    将多帧弹性图像数据分别与各自的评价结果进行合成，将合成后的多个图像输出到显示器进行显示；或
    基于多帧弹性图像的评价结果生成可视化的评价统计图，在评价统 计图上标记出评价结果最佳的一帧或一组弹性图像。
  13. 如权利要求11或12所述的方法，其特征在于在提示优选弹性图像后还包括，基于用户的选择确定优选弹性图像，将优选弹性图像输出到显示器进行显示。
  14. 如权利要求13所述的方法，其特征在于还包括，根据所述优选弹性图像进行感兴趣区域的弹性分析。
  15. 如权利要求1所述的方法，其特征在于还包括，当所有弹性图像的可信度评价结果都不符合要求时，输出报警信息。
  16. 一种超声弹性成像装置，其特征在于包括：
    超声探头，用于向生物组织内的感兴趣区域发射超声波，并接收所述超声波的回波；
    存储器，用于存储程序和数据；
    数据处理器，用于通过执行所述存储器存储的程序以实现如权利要求1-15中任一项所述的方法。
  17. 一种计算机可读存储介质，其特征在于，包括程序，所述程序能够被数据处理器执行以实现如权利要求1-15中任一项所述的方法。
  18. 一种超声弹性成像装置，其特征在于包括：
    超声探头，用于向生物组织内的感兴趣区域发射用于超声波，并接收超声波的回波信号；
    发射序列控制器，用于产生发射序列，并将发射序列输出至超声探头，控制超声探头向感兴趣区域发射超声波并接收超声波的回波信号；
    数据处理器，用于获取同一感兴趣区域的多帧超声回波数据，根据生成弹性图像的超声回波数据对该帧弹性图像的可信度进行评价，得到多帧弹性图像的可信度评价结果，基于评价结果提示优选弹性图像或从多帧弹性图像中确定优选弹性图像；
    人机交互设备，所述人机交互设备包括显示器，所述显示器和数据处理器信号相连，用于显示数据处理器输出的弹性图像和/或评价结果。
  19. 一种超声弹性成像装置，其特征在于包括：
    超声探头，用于向生物组织内的感兴趣区域发射用于超声波，并接收超声波的回波信号；
    发射序列控制器，用于产生发射序列，并将发射序列输出至超声探头，控制超声探头向感兴趣区域发射超声波并接收超声波的回波信号；
    数据处理器，用于获取对感兴趣区域进行超声检测的超声回波数据，根据超声回波数据生成弹性图像，并将所述弹性图像输出到显示器以进行显示；所述数据处理器还用于根据生成弹性图像的超声回波数据对该帧弹性图像的可信度进行评价，得到该帧弹性图像的可信度评价结果，将评价结果与所述弹性图像进行关联显示，以对所述弹性图像的可信度进行提示；
    人机交互设备，所述人机交互设备包括显示器，所述显示器和数据处理器信号相连，用于显示数据处理器输出的弹性图像和/或评价结果。
  20. 如权利要求19所述的装置，其特征在于，将评价结果与所述弹性图像进行关联显示包括以下方式中的任一种：
    将评价结果与所述弹性图像同屏显示；
    点击显示界面上的预定区域后弹出评价结果；
    光标移到预定区域后显示评价结果。
  21. 一种超声弹性成像装置，其特征在于包括：
    超声探头，用于向生物组织内的感兴趣区域发射用于超声波，并接收超声波的回波信号；
    发射序列控制器，用于产生发射序列，并将发射序列输出至超声探头，控制超声探头向感兴趣区域发射超声波并接收超声波的回波信号；
    数据处理器，用于获取对感兴趣区域进行超声检测的超声回波数据，根据超声回波数据生成弹性图像；所述数据处理器还用于根据生成弹性图像的超声回波数据对该帧弹性图像的可信度进行评价，得到该帧弹性图像的可信度评价结果，判断所述评价结果是否合格，如果合格则将所述弹性图像输出到显示器以进行显示，否则，输出与所述弹性图像不合格的相关提示信息；
    人机交互设备，所述人机交互设备包括显示器，所述显示器和数据处理器信号相连，用于显示数据处理器输出的弹性图像和/或与所述弹性图像不合格的相关提示信息。
  22. 如权利要求18-21中任一项所述的装置，其特征在于，所述数据处理器采用以下方式中的至少一种对弹性图像的可信度进行评价：
    根据超声回波数据计算该帧弹性图像的形变强度，根据形变强度评价该帧弹性图像的可信度；
    根据超声回波数据计算该帧弹性图像的形变均匀性，根据形变均匀 性评价该帧弹性图像的可信度；
    检测生成弹性图像的超声回波数据的信号质量，根据信号质量评价该帧弹性图像的可信度。
  23. 如权利要求22所述的装置，其特征在于，当弹性图像的类型是应变弹性图像时，形变强度包括一帧弹性图像的整体应变量，形变均匀性是指一帧弹性图像中不同区域的应变量的差异。
  24. 如权利要求22所述的装置，其特征在于，当弹性图像的类型是剪切波弹性图像时，形变强度包括剪切波幅度，形变均匀性包括剪切波形态。
  25. 如权利要求22所述的装置，其特征在于，所述信号质量包括超声回波信号的信噪比和/或相关性。
  26. 如权利要求18-21中任一项所述的装置，其特征在于，所述数据处理器根据生成弹性图像的超声回波数据对该帧弹性图像的可信度进行评价包括：
    获取弹性图像的类型；
    根据弹性图像的类型确定适用的至少一个评价标准，所述评价标准为预设的适用于该弹性图像类型的评价标准，或者所述评价标准为根据用户的选择确定的评价标准；
    根据评价标准和基于生成每帧弹性图像的超声回波数据计算该弹性图像的评价参数；
    将弹性图像的评价参数与评价标准比较，得出该弹性图像的可信度评价结果。
  27. 如权利要求26所述的装置，其特征在于，当评价标准为多个时，弹性图像的可信度评分为根据多个评价标准得出的多个评分的加权和。
  28. 如权利要求18所述的装置，其特征在于，所述数据处理器基于评价结果从多个弹性图像中确定优选弹性图像包括：在多个弹性图像的评价结果中找出评价结果最好的一帧或一组作为优选弹性图像，将优选弹性图像输出到显示器进行显示。
  29. 如权利要求18所述的装置，其特征在于，所述数据处理器基于评价结果提示优选弹性图像包括：
    将多帧弹性图像数据分别与各自的评价结果进行合成，将合成后的 多个图像输出到显示器进行显示；或
    基于多帧弹性图像的评价结果生成可视化的评价统计图，在评价统计图上标记出评价结果最佳的一帧或一组弹性图像。
  30. 如权利要求28或29所述的装置，其特征在于还包括，所述数据处理器在提示优选弹性图像后还基于用户的选择确定优选弹性图像，将优选弹性图像输出到显示器进行显示。
  31. 如权利要求18所述的装置，其特征在于，所述数据处理器在所有弹性图像的可信度评价结果都不符合要求时，输出报警信息。
  32. 对超声弹性图像的处理系统,其特征在于包括：
    获取单元，用于获取同一感兴趣区域的用于生成多帧弹性图像的超声回波数据；
    评价单元，用于根据生成弹性图像的超声回波数据对该帧弹性图像的可信度进行评价，得到多帧弹性图像的可信度评价结果；
    选帧单元，用于基于评价结果提示优选弹性图像或从多帧弹性图像中确定优选弹性图像。
  33. 对超声弹性图像的处理系统,其特征在于包括：
    获取单元，用于获取对感兴趣区域进行超声检测的超声回波数据；
    弹性图像生成单元，用于根据超声回波数据生成弹性图像；
    评价单元，用于根据生成弹性图像的超声回波数据对该帧弹性图像的可信度进行评价，得到该帧弹性图像的可信度评价结果；
    显示单元，用于将所述弹性图像输出到显示器进行显示，并将评价结果与所述弹性图像进行关联显示，以对所述弹性图像的可信度进行提示。
  34. 对超声弹性图像的处理系统,其特征在于包括：
    获取单元，用于获取对感兴趣区域进行超声检测的超声回波数据；
    弹性图像生成单元，用于根据超声回波数据生成弹性图像；
    评价单元，用于根据生成弹性图像的超声回波数据对该帧弹性图像的可信度进行评价，得到该帧弹性图像的可信度评价结果；
    判断单元，用于判断所述评价结果是否合格，如果合格则将所述弹性图像输出到显示器以进行显示，否则，输出与弹性图像不合格的相关提示信息。
PCT/CN2018/102318 2018-08-24 2018-08-24 一种超声弹性成像装置及对弹性图像进行处理的方法 WO2020037673A1 (zh)

Priority Applications (2)

Application Number Priority Date Filing Date Title
PCT/CN2018/102318 WO2020037673A1 (zh) 2018-08-24 2018-08-24 一种超声弹性成像装置及对弹性图像进行处理的方法
CN201880095882.0A CN112534468A (zh) 2018-08-24 2018-08-24 一种超声弹性成像装置及对弹性图像进行处理的方法

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2018/102318 WO2020037673A1 (zh) 2018-08-24 2018-08-24 一种超声弹性成像装置及对弹性图像进行处理的方法

Publications (1)

Publication Number Publication Date
WO2020037673A1 true WO2020037673A1 (zh) 2020-02-27

Family

ID=69592133

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2018/102318 WO2020037673A1 (zh) 2018-08-24 2018-08-24 一种超声弹性成像装置及对弹性图像进行处理的方法

Country Status (2)

Country Link
CN (1) CN112534468A (zh)
WO (1) WO2020037673A1 (zh)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113040816A (zh) * 2021-04-06 2021-06-29 无锡海斯凯尔医学技术有限公司 超声弹性成像方法、装置、电子设备及存储介质

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2014082482A1 (zh) * 2012-11-28 2014-06-05 深圳迈瑞生物医疗电子股份有限公司 一种超声弹性成像系统和方法
CN103845081A (zh) * 2012-11-28 2014-06-11 深圳迈瑞生物医疗电子股份有限公司 超声弹性成像系统和方法、实时动态帧间处理方法
CN107833218A (zh) * 2017-11-22 2018-03-23 深圳中科乐普医疗技术有限公司 一种生物组织剪切波弹性图像质量评估显示方法

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20150141821A1 (en) * 2013-04-03 2015-05-21 Hitachi Aloka Medical, Ltd. Ultrasonic diagnostic apparatus and elastic evaluation method
CN106456108A (zh) * 2015-08-10 2017-02-22 深圳迈瑞生物医疗电子股份有限公司 超声弹性成像系统和方法

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2014082482A1 (zh) * 2012-11-28 2014-06-05 深圳迈瑞生物医疗电子股份有限公司 一种超声弹性成像系统和方法
CN103845081A (zh) * 2012-11-28 2014-06-11 深圳迈瑞生物医疗电子股份有限公司 超声弹性成像系统和方法、实时动态帧间处理方法
CN107833218A (zh) * 2017-11-22 2018-03-23 深圳中科乐普医疗技术有限公司 一种生物组织剪切波弹性图像质量评估显示方法

Also Published As

Publication number Publication date
CN112534468A (zh) 2021-03-19

Similar Documents

Publication Publication Date Title
JP4831465B2 (ja) 超音波検出指標に基づいた超音波収集の最適化
US20230157671A1 (en) Ultrasound elastography imaging system and method
EP2790588B1 (en) Automated doppler pulse cycle selection
JP5254010B2 (ja) 超音波診断装置
CN108733857B (zh) 超声弹性成像装置及弹性成像结果评价方法
CN103260526B (zh) 具有峰值强度检测功能的超声成像系统和方法
WO2020077598A1 (zh) 一种超声弹性检测方法及其系统
CN107157515B (zh) 超声检测血管系统及方法
JP2010534501A (ja) ドップラー超音波撮像システムにおける自動画像選択のためのシステム及び方法
WO2021042298A1 (zh) 一种vti测量装置及方法
US11766245B2 (en) Ultrasonic diagnostic apparatus and control method
US11259780B2 (en) Ultrasound medical detection devices and imaging method, imaging system and display terminal
CN113040823B (zh) 一种超声成像设备及超声图像的分析方法
JP4918369B2 (ja) 超音波診断装置
JP2016112285A (ja) 超音波診断装置
JP6382633B2 (ja) 超音波診断装置
WO2020037673A1 (zh) 一种超声弹性成像装置及对弹性图像进行处理的方法
US20120016240A1 (en) Ultrasonic diagnostic apparatus and method thereof
WO2021003711A1 (zh) 超声成像设备及检测b线的方法、装置、存储介质
WO2021114106A1 (zh) 一种超声成像设备和脉搏波成像方法
JP2021007512A (ja) 超音波診断装置及び解析装置
US20220361840A1 (en) Displaying blood vessels in ultrasound images
WO2021087765A1 (zh) 一种超声成像设备和子宫内膜蠕动的检测方法
JP5443781B2 (ja) 超音波診断装置
WO2020082236A1 (zh) 一种心脏运动定量分析方法和超声系统

Legal Events

Date Code Title Description
NENP Non-entry into the national phase

Ref country code: DE

32PN Ep: public notification in the ep bulletin as address of the adressee cannot be established

Free format text: NOTING OF LOSS OF RIGHTS PURSUANT TO RULE 112(1) EPC (EPO FORM 1205A DATED 30/06/2021)

122 Ep: pct application non-entry in european phase

Ref document number: 18930942

Country of ref document: EP

Kind code of ref document: A1