Ultrasonic wide-scene imaging method and ultrasonic imaging equipment
By performing motion cycle analysis and stitching on ultrasound images of periodically moving tissues, the problem of motion tissue imaging artifacts in existing technologies has been solved, achieving clear ultrasound wide-view imaging effects.
Patent Information
- Application Number
- CN202410605792.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-05-15
- Publication Date
- 2025-11-18
AI Technical Summary
Existing wide-view ultrasound imaging technology is not suitable for moving tissues, such as arteries and lungs, resulting in periodic pulsation artifacts in the images, which cannot meet the needs of clinical diagnosis.
By acquiring multiple consecutive ultrasound images of periodically moving tissues, calculating their motion cycles, and grouping the images into the same phase of different motion cycles, the images are stitched together to generate a wide-view ultrasound image, including pixel autocorrelation calculation and image registration stitching.
It enables wide-view ultrasound imaging of periodically moving tissues, eliminates motion artifacts, provides clear tissue structure display, and meets clinical diagnostic needs.
Smart Images
Figure CN120959784A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of ultrasound imaging technology, and more specifically to an ultrasound wide-view imaging method and an ultrasound imaging device. Background Technology
[0002] Ultrasound wide-view imaging technology uses a series of two-dimensional ultrasound images acquired by moving an ultrasound probe within the same plane to create a single ultrasound wide-view image with a larger field of view. This allows for the display of complete tissues and structures on the same image, facilitating diagnosis for doctors.
[0003] Based on the principle of wide-view ultrasound imaging, it assumes that the probe is moving while the target tissue is stationary. Therefore, existing wide-view ultrasound imaging techniques are not suitable for moving tissues (such as arteries, lungs, etc.). Figure 1 As shown, when performing wide-view ultrasound imaging of arteries, the boundaries of the arteries are stitched together into periodic pulsation artifacts due to motion, which cannot meet clinical needs. Summary of the Invention
[0004] This invention proposes an ultrasound wide-view imaging method and ultrasound imaging device, which can perform ultrasound wide-view imaging of periodically moving target tissues.
[0005] According to a first aspect, one embodiment provides an ultrasound wide-view imaging method, comprising:
[0006] In response to a wide-view imaging command, ultrasound waves are emitted toward the target tissue and the ultrasound echoes returned by the target tissue are received to obtain multiple consecutive ultrasound images within a preset time period; the target tissue is a periodically moving target tissue.
[0007] The motion cycle of the target tissue is determined based on the continuous multi-frame ultrasound images;
[0008] According to the motion cycle of the target tissue, the continuous multi-frame ultrasound images are divided into multiple ultrasound image groups; the multiple ultrasound images in each ultrasound image group are in the same phase of different motion cycles of the target tissue;
[0009] Multiple ultrasound images in each ultrasound image group are stitched together to obtain multiple wide-view ultrasound images, each wide-view ultrasound image corresponding to an ultrasound image group.
[0010] In one embodiment, determining the motion cycle of the target tissue based on the consecutive multi-frame ultrasound images includes:
[0011] Pixel autocorrelation is calculated on some or all of the continuous multi-frame ultrasound images to obtain autocorrelation results; the autocorrelation results include multiple autocorrelation values, which change periodically.
[0012] Based on the autocorrelation results, the motion cycle of the target tissue is determined.
[0013] In one embodiment, determining the motion period of the target tissue based on the autocorrelation result includes:
[0014] Detect the peak values of multiple autocorrelation values in the autocorrelation results;
[0015] The movement cycle of the target tissue is determined based on the detected peak value.
[0016] In one embodiment, stitching together multiple ultrasound images from each ultrasound image group to obtain multiple wide-view ultrasound images includes:
[0017] Register multiple ultrasound images in each ultrasound image group;
[0018] Multiple registered ultrasound images in each ultrasound image group are stitched together to obtain multiple wide-view ultrasound images.
[0019] In one embodiment, it further includes:
[0020] Multiple ultrasound wide-view images are played sequentially to form an ultrasound wide-view video.
[0021] According to a second aspect, one embodiment provides an ultrasound wide-view imaging method, comprising:
[0022] Acquire multiple consecutive first ultrasound images of the target tissue within a pre-acquired time period; the target tissue is a periodically moving target tissue;
[0023] The motion cycle of the target tissue is determined based on the consecutive multiple frames of the first ultrasound image;
[0024] In response to the command for wide-view imaging, ultrasound waves are emitted toward the target tissue and the ultrasound echoes returned by the target tissue are received to acquire a real-time second ultrasound image of the target tissue; the following operations are performed on the acquired second ultrasound image of the current frame:
[0025] Multiple wide-view ultrasound images are acquired; each of the wide-view ultrasound images corresponds one-to-one with a preset phase in the motion cycle.
[0026] Based on the motion cycle of the target tissue, determine the phase of the second ultrasound image in the current frame within the motion cycle;
[0027] The second ultrasound image of the current frame is stitched together with the ultrasound wide-view image corresponding to its phase, and the corresponding ultrasound wide-view image is updated and displayed.
[0028] In one embodiment, acquiring multiple wide-view ultrasound images includes:
[0029] Based on the pre-acquired continuous multiple frames of the first ultrasound image, multiple wide-view ultrasound images are obtained;
[0030] Alternatively, the second ultrasound image of the first frame corresponding to each preset phase in the acquired motion cycle can be used as the corresponding ultrasound wide-view image to obtain multiple ultrasound wide-view images.
[0031] In one embodiment, acquiring multiple wide-view ultrasound images based on the pre-acquired consecutive frames of the first ultrasound images includes:
[0032] According to the motion cycle of the target tissue, the consecutive multiple frames of first ultrasound images are divided into multiple ultrasound image groups; the multiple first ultrasound images in each ultrasound image group are in the same phase in different motion cycles of the target tissue;
[0033] Multiple first ultrasound images in each ultrasound image group are stitched together to obtain multiple wide-view ultrasound images, each wide-view ultrasound image corresponding to an ultrasound image group.
[0034] In one embodiment, determining the motion cycle of the target tissue based on the consecutive multiple frames of the first ultrasound images includes:
[0035] Pixel autocorrelation calculation is performed on some or all of the continuous multiple frames of the first ultrasound images to obtain autocorrelation results; the autocorrelation results include multiple autocorrelation values, and the multiple autocorrelation values change periodically;
[0036] Based on the autocorrelation results, the motion cycle of the target tissue is determined.
[0037] In one embodiment, determining the motion period of the target tissue based on the autocorrelation result includes:
[0038] Detect the peak values of multiple autocorrelation values in the autocorrelation results;
[0039] The movement cycle of the target tissue is determined based on the detected peak value.
[0040] In one embodiment, it further includes:
[0041] Multiple ultrasound wide-view images are played sequentially to form an ultrasound wide-view video.
[0042] According to a fourth aspect, one embodiment provides an ultrasound imaging device, characterized in that it includes: an ultrasound probe, a transmitting and receiving control circuit, a processor, and a display component; the ultrasound probe is used to transmit ultrasound waves to a region of interest in a blood vessel being tested, and to receive corresponding ultrasound echo signals; the transmitting and receiving control circuit is used to control the probe to transmit ultrasound waves and receive ultrasound echo signals; the processor is used to perform the method as described in any of the above embodiments.
[0043] According to a fifth aspect, one embodiment provides a computer-readable storage medium storing a program that can be executed by a processor to implement the method described in any of the above embodiments.
[0044] According to the ultrasound wide-view imaging method and ultrasound imaging device of the above embodiments, the motion period of the periodically moving target tissue is first calculated based on the continuous multiple frames of ultrasound images of the periodically moving target tissue. Then, based on the calculated motion period, ultrasound images in the same phase in different motion periods are stitched together to obtain multiple ultrasound wide-view images, thereby realizing ultrasound wide-view imaging of the periodically moving target tissue. Attached Figure Description
[0045] Figure 1 This is a schematic diagram of wide-view ultrasound imaging of arterial vessels.
[0046] Figure 2 This is a schematic diagram of the structure of an ultrasound imaging device according to one embodiment;
[0047] Figure 3 A flowchart of an embodiment of an ultrasound wide-view imaging method;
[0048] Figure 4 A flowchart illustrating a method for determining the motion cycle of a target tissue according to one embodiment;
[0049] Figure 5 A schematic diagram illustrating the principle of autocorrelation calculation for multiple consecutive ultrasound images;
[0050] Figure 6 This is a schematic diagram of stitching together multiple consecutive ultrasound images;
[0051] Figure 7 This is a schematic diagram of ultrasound image stitching according to one embodiment;
[0052] Figure 8 A flowchart of an embodiment of an ultrasound wide-view imaging method;
[0053] Figure 9 A flowchart of another embodiment of the ultrasound wide-view imaging method;
[0054] Figure 10 This is a flowchart of the stitching operation performed on the second ultrasound image of the current frame.
[0055] Figure 11 This is a schematic diagram of real-time stitching of ultrasound images. Detailed Implementation
[0056] The present invention will now be described in further detail with reference to specific embodiments and accompanying drawings. Similar elements in different embodiments are referred to by associated similar element reference numerals. In the following embodiments, many details are described to facilitate a better understanding of this application. However, those skilled in the art will readily recognize that some features may be omitted in different situations, or may be replaced by other elements, materials, or methods. In some cases, certain operations related to this application are not shown or described in the specification. This is to avoid obscuring the core parts of this application with excessive description. For those skilled in the art, detailed description of these related operations is not necessary; they can fully understand the related operations based on the description in the specification and general technical knowledge in the art.
[0057] Furthermore, the features, operations, or characteristics described in the specification can be combined in any suitable manner to form various embodiments. At the same time, the steps or actions in the method description can be rearranged or adjusted in a manner obvious to those skilled in the art. Therefore, the various orders in the specification and drawings are only for the clear description of a particular embodiment and do not imply a necessary order, unless otherwise stated that a particular order must be followed.
[0058] The serial numbers assigned to components in this document, such as "first" and "second," are used only to distinguish the described objects and have no sequential or technical meaning. Unless otherwise specified, the terms "connection" and "linkage" used in this application include both direct and indirect connections (linkages).
[0059] Please refer to Figure 2 The ultrasonic imaging device provided by the present invention includes an ultrasonic probe 10, a transmission and reception control circuit 20, and a processor 40; in some embodiments, it may also include an echo processing module 30 and / or a display component 50. The components are described below.
[0060] An ultrasound probe 10 is used to emit ultrasound waves toward a region of interest and to receive corresponding ultrasound echo signals to obtain ultrasound data, such as two-dimensional or three-dimensional ultrasound data. In some specific embodiments, the ultrasound probe 10 includes multiple array elements for mutual conversion between electrical pulse signals and ultrasound waves, thereby enabling the emission of ultrasound waves toward the region of interest and the reception of corresponding ultrasound echo signals. Array elements can emit ultrasound waves according to excitation electrical signals, or convert received ultrasound waves into electrical signals. Therefore, each array element can be used to emit ultrasound waves toward biological tissue in the region of interest, and can also be used to receive ultrasound echoes returned by the tissue. During ultrasound detection, the emission and reception sequences can be used to control which array elements are used to emit ultrasound waves and which array elements are used to receive ultrasound waves, or the array elements can be controlled to be used in time slots for emitting ultrasound waves or receiving ultrasound echoes. All array elements involved in ultrasound emission can be simultaneously excited by electrical signals to emit ultrasound waves simultaneously; or the array elements involved in ultrasound emission can be excited by several electrical signals with a certain time interval to continuously emit ultrasound waves with a certain time interval.
[0061] The transmit and receive control circuit 20 controls the ultrasound probe 10 to transmit ultrasound waves and receive ultrasound echo signals. For example, the transmit and receive control circuit 20 controls the ultrasound probe 10 to transmit ultrasound waves toward the region of interest, and also controls the ultrasound probe 10 to receive ultrasound echo signals reflected from the region of interest. In some specific embodiments, the transmit and receive control circuit 20 generates transmit and receive sequences and outputs them to the ultrasound probe 10. The transmit sequence controls some or all of the multiple array elements in the ultrasound probe 10 to transmit ultrasound waves toward the biological tissue 60. The parameters of the transmit sequence include the number of array elements for transmission and ultrasound transmission parameters (e.g., amplitude, frequency, number of transmissions, transmission interval, transmission angle, waveform, and / or focusing position). The receive sequence controls some or all of the multiple array elements to receive the echoes of ultrasound waves after they have passed through the tissue. The parameters of the receive sequence include the number of array elements for reception and the reception parameters of the echoes (e.g., reception angle, depth, etc.). The ultrasound parameters in the transmit sequence and the echo parameters in the receive sequence may vary depending on the purpose of the ultrasound echo or the image generated by the ultrasound echo.
[0062] The echo processing module 30 is used to process the ultrasonic echo signal received by the ultrasonic probe 10, such as filtering, amplifying, and beamforming the ultrasonic echo signal to obtain ultrasonic echo data. In a specific embodiment, the echo processing module 30 can output the ultrasonic echo data to the processor 40, or it can store the ultrasonic echo data in a memory first, and the processor 40 reads the ultrasonic echo data from the memory when it needs to perform calculations based on the ultrasonic echo data. Those skilled in the art should understand that in some embodiments, when it is not necessary to filter, amplify, or beamform the ultrasonic echo signal, the echo processing module 30 can be omitted.
[0063] The processor 40 is used to acquire ultrasonic echo data or signals and employ relevant algorithms to obtain the required parameters or images. In some embodiments of the present invention, the processor 40 includes, but is not limited to, devices for interpreting computer instructions and processing data in computer software, such as a central processing unit (CPU), microcontroller unit (MCU), field-programmable gate array (FPGA), and digital signal processing (DSP). In some embodiments, the processor 40 is used to execute various computer applications in the non-transitory computer-readable storage medium, thereby enabling the sample analysis device to perform corresponding detection procedures.
[0064] Display component 50 can be used to display information, such as parameters and images calculated by processor 40. Those skilled in the art will understand that in some embodiments, the ultrasound imaging system itself may not integrate a display module, but instead be connected to a computer device (e.g., a computer) to display information through the computer device's display module (e.g., a display screen).
[0065] Some embodiments also disclose an ultrasound wide-view imaging method, and in some embodiments, the processor 40 is used to perform one, several, or all of the steps of the method for vascular wall elastography.
[0066] Please refer to Figure 3 Some embodiments of the ultrasound wide-view imaging method include the following steps:
[0067] Step 11: In response to the wide-view imaging command, emit ultrasound waves towards the target tissue and receive the ultrasound echoes returned by the target tissue to acquire multiple consecutive ultrasound images within a preset time period. The target tissue is a periodically moving tissue, such as arterial blood vessels. It should be noted that these multiple consecutive ultrasound images are two-dimensional cross-sectional ultrasound images. It should also be noted that the preset time period should be at least longer than one motion cycle of the target tissue.
[0068] In some embodiments, the instructions for wide-view imaging can be operation instructions input by the user through a touch screen or an external input device, or control instructions input by the user through voice.
[0069] In some embodiments, an ultrasound technician can operate an ultrasound probe 10 to move continuously and smoothly across the skin surface of a periodically moving target tissue. The ultrasound probe 10 emits ultrasound waves towards the target tissue and receives the ultrasound echoes reflected back from the target tissue, obtaining an ultrasound echo signal. The echo processing module 30 performs processing on the ultrasound echo signal, including focusing delay, weighted summation, channel calculation, and DSC (Digital Scan Conversion), ultimately forming an ultrasound image in the processor 40. In one embodiment, continuous scanning of the target tissue can obtain continuous frame ultrasound images.
[0070] Step 12: Determine the motion cycle of the target tissue based on multiple consecutive ultrasound images.
[0071] In some embodiments, please refer to Figure 4 Determining the motion cycle of a target tissue based on multiple consecutive ultrasound images includes:
[0072] Step 121: Perform pixel autocorrelation calculation on some or all of the consecutive multi-frame ultrasound images to obtain autocorrelation results; the autocorrelation results include multiple autocorrelation values, which vary periodically. In one embodiment, the autocorrelation results can be an autocorrelation curve, which is obtained by fitting multiple autocorrelation values.
[0073] Step 122: Determine the motion cycle of the target tissue based on the autocorrelation results.
[0074] The principle of autocorrelation calculation for consecutive multiple ultrasound images is explained below.
[0075] Please refer to Figure 5 After acquiring multiple consecutive ultrasound images, assuming the motion period is known to be T, P1, P2, ..., P... T For each phase corresponding to the first motion cycle, P T+1 P T+2 ... P 2T For each phase corresponding to the second motion cycle, P 2T+1 P 2T+2 ... P 3T The ultrasound images for each phase corresponding to the third motion cycle are shown below. For the ultrasound images of the above three motion cycles, P1 and P2, ..., P... T P T+1 P T+2 ... P 2T P 2T+1 P2T+2 ... P 3T A series of autocorrelation values are obtained by sequentially calculating pixel autocorrelation. Among these values, P1 and P2 have the smallest phase difference, so their calculated autocorrelation values are relatively large. Subsequently, P1 and P3, ..., P... are calculated as follows: T The autocorrelation value first decreases and then increases until P1 and P T+1 Having the same phase, the calculated autocorrelation value has the maximum peak value. Then, P1 and P T+2 ... P 2T The autocorrelation values of P1 and P2, P3, ..., P T The autocorrelation values show the same trend (first decreasing and then increasing) until P1 and P... 2T+1 The maximum peak value of the autocorrelation value, finally, P1 and P 2T+2 ... P 3T The autocorrelation values of P1 and P2, P3, ..., P T The trend of the autocorrelation values is also the same. As can be seen from the above, the series of autocorrelation values (autocorrelation results) obtained by autocorrelation calculation of multiple consecutive ultrasound images also exhibit periodic changes, and the period of their periodic changes is the same as the motion period of the target tissue in the ultrasound image. Therefore, the motion period of the target tissue can be determined by calculating the autocorrelation results of multiple consecutive ultrasound images.
[0076] In one embodiment, for multiple consecutive ultrasound images, the ultrasound images in the same phase of different motion cycles have the largest autocorrelation value. That is, the peak value between two autocorrelation values is one motion cycle. Therefore, the motion cycle of the target tissue can be determined by detecting the peak value of multiple autocorrelation values in the autocorrelation results (a series of autocorrelation values).
[0077] Step 13: Divide multiple consecutive ultrasound images into multiple ultrasound image groups according to the motion cycle of the target tissue; multiple ultrasound images in each ultrasound image group are in the same phase of different motion cycles of the target tissue.
[0078] In a series of consecutive multi-frame ultrasound images, ultrasound images of the same phase in different motion cycles are grouped into a single ultrasound image group, for example, such as... Figure 5 As shown, P1 and P T+1 and P 2T+1 Divided into one ultrasound image group, P2, P T+2 and P 2T+2 Divided into one ultrasound image group, P3, P T+3 and P 2T+3 Divide into one ultrasound image group, ..., and so on, to obtain T ultrasound image groups.
[0079] Step 14: Stitch together multiple ultrasound images from each ultrasound image group to obtain multiple wide-view ultrasound images, with each wide-view ultrasound image corresponding to one ultrasound image group.
[0080] Please refer to Figure 6 The ultrasound images P1 and P T+1 and P 2T+1 After stitching, a wide-view ultrasound image S1 is formed, and ultrasound images P2 and P3 are stitched together. T+2 and P 2T+2 After stitching, a wide-view ultrasound image S2 is formed, which includes P3 and P4. T+3 and P 2T+3 After stitching, a wide-view ultrasound image S3, ..., is formed, resulting in T wide-view ultrasound images.
[0081] In some embodiments, multiple ultrasound images from each ultrasound image group are stitched together to obtain multiple wide-view ultrasound images, including:
[0082] Step 141: Register multiple ultrasound images in each ultrasound image group.
[0083] Step 142: Stitch together the registered ultrasound images in each ultrasound image group to obtain multiple wide-view ultrasound images.
[0084] In one embodiment, registration is performed by calculating the motion vectors of two adjacent ultrasound images based on the correlation between adjacent frames in each ultrasound image group. Stitching multiple registered ultrasound images in each ultrasound image group is performed by stitching the current ultrasound image to be stitched together with the already stitched ultrasound images based on the calculated motion vectors.
[0085] Please refer to Figure 7 In general, during wide-view ultrasound imaging, the ultrasound probe 10 moves at a certain speed, and the distance between two adjacent stitches is not large. To avoid image blurring caused by repeated stitching of the same area, the current ultrasound image to be stitched can be divided into three regions (I, II, and III). During stitching, region I still uses the data from the already stitched ultrasound image, region II uses a weighted average of the current ultrasound image to be stitched and the already stitched ultrasound image, and region III uses the data from the current ultrasound image to be stitched. Since the above registration and stitching are existing ultrasound image registration and stitching methods, they will not be described in detail here.
[0086] Following the above method, each ultrasound image group can be stitched together to form a wide-view ultrasound image, ultimately resulting in T wide-view ultrasound images. It is important to note that the adjacent groups of the T ultrasound image groups are temporally continuous. Therefore, during registration, each ultrasound image group can be registered individually to obtain the motion vector for each group. Alternatively, only the motion vector of one ultrasound image group (such as the first one) can be calculated, and the other ultrasound image groups can share this motion vector. Another option is to perform a weighted average of the calculated motion vectors from all ultrasound image groups, with all ultrasound image groups sharing the weighted average motion vector.
[0087] In some embodiments, please refer to Figure 8 After step 14 stitches together multiple ultrasound images from each ultrasound image group to obtain multiple wide-view ultrasound images, it also includes:
[0088] Step 15: Play multiple wide-view ultrasound images sequentially to form a wide-view ultrasound video. That is, by playing the T wide-view ultrasound images obtained in step 14 in sequence, the overall picture of the target tissue with periodic movement of large structures can be presented.
[0089] The ultrasound wide-view imaging method provided in the above embodiments first acquires a series of consecutive multi-frame ultrasound images, and then stitches these ultrasound images together to form an ultrasound wide-view image. It is a non-real-time wide-view imaging method.
[0090] Please refer to Figure 9 This invention also provides a real-time ultrasound wide-view imaging method, in which each acquired ultrasound image is stitched together to update and display the ultrasound wide-view image in real time. The ultrasound wide-view imaging method includes the following steps:
[0091] Step 21: Acquire a series of first ultrasound images of the target tissue within a preset time period; the target tissue is a periodically moving target tissue. In one embodiment, these series of first ultrasound images may be series of ultrasound images acquired in a conventional ultrasound imaging mode. In another embodiment, these series of first ultrasound images may also be series of first ultrasound images acquired in advance after entering wide-view imaging mode.
[0092] It should be noted that the calculation of the motion cycle requires the accumulation of first ultrasound images from several motion cycles. Therefore, after acquiring the first ultrasound images at a preset time, the calculation of the motion cycle can then be performed. In one embodiment, the preset time should be at least greater than one motion cycle.
[0093] Step 22: Determine the motion cycle of the target tissue based on multiple consecutive frames of the first ultrasound image.
[0094] In some embodiments, determining the motion cycle of the target tissue based on multiple consecutive frames of the first ultrasound image includes:
[0095] Step 221: Perform pixel autocorrelation calculation on some or all of the consecutive multiple frames of the first ultrasound images to obtain autocorrelation results; the autocorrelation results include multiple autocorrelation values, which vary periodically. In one embodiment, the autocorrelation results can be an autocorrelation curve, which is obtained by fitting multiple autocorrelation values.
[0096] Step 222: Determine the motion cycle of the target tissue based on the autocorrelation results.
[0097] The principle of performing autocorrelation calculation on multiple frames of the first ultrasound image described above can be found in the description of the above embodiments.
[0098] After calculating the motion cycle of the target tissue according to the above steps, the motion cycle can be displayed in real time, for example, by showing it on the display interface. Once the motion cycle calculation is complete, the user can be prompted to start the wide-view imaging scan.
[0099] Step 23: In response to the wide-view imaging command, emit ultrasound waves towards the target tissue and receive the ultrasound echoes returned by the target tissue to acquire a real-time second ultrasound image of the target tissue; stitch the acquired second ultrasound image of the current frame to update and display a wide-view ultrasound image corresponding to the phase of the second ultrasound image of the current frame. The command in response to the wide-view imaging can be an operation command input by the user via a touch screen or external input device, or a control command input by the user via voice.
[0100] Please refer to Figure 10 The stitching operation performed on the acquired second ultrasound image of the current frame includes:
[0101] Step 231: Acquire multiple wide-view ultrasound images; each wide-view ultrasound image corresponds one-to-one with a preset phase in the motion cycle. It should be noted that the preset phase is the same as the phase of the multiple frames of the second ultrasound images acquired in real time in the motion cycle.
[0102] In some embodiments, acquiring multiple ultrasound wide-view images may include: acquiring multiple ultrasound wide-view images based on a series of pre-acquired first ultrasound images; that is, multiple ultrasound wide-view images may be acquired based on a series of first ultrasound images according to the method provided in the above embodiments of the non-real-time ultrasound wide-view imaging method. For specific implementation details, please refer to the above description, which will not be repeated here.
[0103] In other embodiments, acquiring multiple wide-view ultrasound images may include: using the second ultrasound image of the first frame corresponding to each preset phase in the acquired motion cycle as the corresponding wide-view ultrasound image to acquire multiple wide-view ultrasound images. That is, the initial first frame of the second ultrasound image is used as the wide-view ultrasound image.
[0104] Step 232: Determine the phase of the second ultrasound image in the current frame within the motion cycle based on the motion cycle of the target tissue.
[0105] Step 233: Stitch the second ultrasound image of the current frame with the ultrasound wide-view image corresponding to its phase, update and display the corresponding ultrasound wide-view image.
[0106] Please refer to Figure 11 During real-time stitching, when ultrasound image P1 is acquired, it is stitched with ultrasound wide-view image S1, which is in phase with P1. When ultrasound image P2 is acquired, it is stitched with ultrasound wide-view image S2, which is in phase with P2. When ultrasound image P3 is acquired, it is stitched with ultrasound wide-view image S3, which is in phase with P3, and so on. Each time ultrasound image P1 is acquired... T P 2T …then, it is stitched with the wide-view image S1, whenever P is acquired. T+1 P 2T+1 …then, it is stitched with the wide-view ultrasound image S2…, when P is obtained T P 2T P 3T …then, it was compared with the wide-view ultrasound image S T Then, the parts are assembled.
[0107] In some embodiments, after each pair of second ultrasound images of the current frame is stitched together, the corresponding wide-view ultrasound image of the current frame can be displayed in real time. For example, for ultrasound image P... T+i After the stitching is completed, the corresponding wide-view ultrasound image S is displayed. i .
[0108] In some embodiments, multiple ultrasound wide-view images obtained are played sequentially after a period of time to form an ultrasound wide-view video.
[0109] Those skilled in the art will understand that all or part of the functions of the various methods in the above embodiments can be implemented by hardware or by computer programs. When all or part of the functions in the above embodiments are implemented by computer programs, the program can be stored in a computer-readable storage medium, which may include: read-only memory, random access memory, disk, optical disk, hard disk, etc., and the program is executed by a computer to achieve the above functions. For example, the program can be stored in the memory of a device, and when the program in the memory is executed by the processor, all or part of the above functions can be achieved. In addition, when all or part of the functions in the above embodiments are implemented by computer programs, the program can also be stored in a server, another computer, disk, optical disk, flash drive, or external hard drive, etc., and can be downloaded or copied to the memory of a local device, or the system of the local device can be updated. When the program in the memory is executed by the processor, all or part of the functions in the above embodiments can be achieved.
[0110] The above examples illustrate the present invention only to aid in understanding it and are not intended to limit the scope of the invention. Those skilled in the art can make various simple deductions, modifications, or substitutions based on the principles of this invention.
Claims
1. An ultrasonic wide-view imaging method, characterized in that, include: In response to a wide-view imaging command, ultrasound waves are emitted toward the target tissue and the ultrasound echoes returned by the target tissue are received to obtain multiple consecutive ultrasound images within a preset time period; the target tissue is a periodically moving target tissue. The motion cycle of the target tissue is determined based on the continuous multi-frame ultrasound images; According to the motion cycle of the target tissue, the continuous multi-frame ultrasound images are divided into multiple ultrasound image groups; the multiple ultrasound images in each ultrasound image group are in the same phase of different motion cycles of the target tissue; Multiple ultrasound images in each ultrasound image group are stitched together to obtain multiple wide-view ultrasound images, each wide-view ultrasound image corresponding to an ultrasound image group.
2. The method as described in claim 1, characterized in that, Determining the motion cycle of the target tissue based on the consecutive multiple frames of ultrasound images includes: Pixel autocorrelation is calculated on some or all of the continuous multi-frame ultrasound images to obtain autocorrelation results; the autocorrelation results include multiple autocorrelation values, which change periodically. Based on the autocorrelation results, the motion cycle of the target tissue is determined.
3. The method as described in claim 2, characterized in that, Determining the movement cycle of the target tissue based on the autocorrelation results includes: Detect the peak values of multiple autocorrelation values in the autocorrelation results; The movement cycle of the target tissue is determined based on the detected peak value.
4. The method as described in claim 1, characterized in that, The step of stitching together multiple ultrasound images from each ultrasound image group to obtain multiple wide-view ultrasound images includes: Register multiple ultrasound images in each ultrasound image group; Multiple registered ultrasound images in each ultrasound image group are stitched together to obtain multiple wide-view ultrasound images.
5. The method according to any one of claims 1 to 4, characterized in that, Also includes: Multiple ultrasound wide-view images are played sequentially to form an ultrasound wide-view video.
6. An ultrasonic wide-view imaging method, characterized in that, include: Acquire multiple consecutive first ultrasound images of the target tissue within a pre-acquired time frame; The target tissue is a target tissue undergoing periodic motion; The motion cycle of the target tissue is determined based on the consecutive multiple frames of the first ultrasound image; In response to the command for wide-view imaging, ultrasound waves are emitted toward the target tissue and the ultrasound echoes returned by the target tissue are received to acquire a real-time second ultrasound image of the target tissue; the following operations are performed on the acquired second ultrasound image of the current frame: Multiple wide-view ultrasound images are acquired; each of the wide-view ultrasound images corresponds one-to-one with a preset phase in the motion cycle. Based on the motion cycle of the target tissue, determine the phase of the second ultrasound image in the current frame within the motion cycle; The second ultrasound image of the current frame is stitched together with the ultrasound wide-view image corresponding to its phase, and the corresponding ultrasound wide-view image is updated and displayed.
7. The method as described in claim 6, characterized in that, The acquisition of multiple wide-view ultrasound images includes: Based on the pre-acquired continuous multiple frames of the first ultrasound image, multiple wide-view ultrasound images are obtained; Alternatively, the second ultrasound image of the first frame corresponding to each preset phase in the acquired motion cycle can be used as the corresponding ultrasound wide-view image to obtain multiple ultrasound wide-view images.
8. The method as described in claim 7, characterized in that, The step of acquiring multiple wide-view ultrasound images based on the pre-acquired consecutive frames of the first ultrasound images includes: According to the motion cycle of the target tissue, the consecutive multiple frames of first ultrasound images are divided into multiple ultrasound image groups; the multiple first ultrasound images in each ultrasound image group are in the same phase in different motion cycles of the target tissue; Multiple first ultrasound images in each ultrasound image group are stitched together to obtain multiple wide-view ultrasound images, each wide-view ultrasound image corresponding to an ultrasound image group.
9. The method as described in claim 6, characterized in that, Determining the motion cycle of the target tissue based on the consecutive multiple frames of the first ultrasound image includes: Pixel autocorrelation calculation is performed on some or all of the continuous multiple frames of the first ultrasound images to obtain autocorrelation results; the autocorrelation results include multiple autocorrelation values, and the multiple autocorrelation values change periodically; Based on the autocorrelation results, the motion cycle of the target tissue is determined.
10. The method as described in claim 9, characterized in that, Determining the movement cycle of the target tissue based on the autocorrelation results includes: Detect the peak values of multiple autocorrelation values in the autocorrelation results; The movement cycle of the target tissue is determined based on the detected peak value.
11. The method according to any one of claims 6 to 10, characterized in that, Also includes: Multiple ultrasound wide-view images are played sequentially to form an ultrasound wide-view video.
12. An ultrasonic imaging device, characterized in that, include: An ultrasound probe, a transmitting and receiving control circuit, a processor, and a display component; the ultrasound probe is used to transmit ultrasound waves to a region of interest in a blood vessel being tested, and to receive corresponding ultrasound echo signals; the transmitting and receiving control circuit is used to control the probe to transmit ultrasound waves and receive ultrasound echo signals; the processor is used to perform the method as described in any one of claims 1 to 11.
13. A computer-readable storage medium, characterized in that, The medium stores a program that can be executed by a processor to implement the method as described in any one of claims 1-11.