CN113056034A - Ultrasonic image processing method and ultrasonic system based on cloud computing - Google Patents
Ultrasonic image processing method and ultrasonic system based on cloud computing Download PDFInfo
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- CN113056034A CN113056034A CN202110266199.2A CN202110266199A CN113056034A CN 113056034 A CN113056034 A CN 113056034A CN 202110266199 A CN202110266199 A CN 202110266199A CN 113056034 A CN113056034 A CN 113056034A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
- A61B8/52—Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/14—Session management
- H04L67/141—Setup of application sessions
Abstract
The invention discloses an ultrasonic image processing method and an ultrasonic system based on cloud computing, wherein the ultrasonic image processing method based on the cloud computing comprises the following steps: when the ultrasonic transceiving terminal and the first network with high availability are both available, establishing direct connection between the ultrasonic transceiving terminal and the display interaction terminal through the first network; when the cloud processing system and the second network are available, the ultrasonic image data are uploaded to the cloud processing system through the cloud connection path for image processing, and the processed ultrasonic image data are sent to the display interaction terminal through the second network for display; the cloud connection path is the only communication connection path between the ultrasonic receiving and transmitting terminal and the cloud processing system; and when at least one of the cloud processing system and the second network is unavailable, sending the ultrasonic image data to the display interactive terminal through the first network for image processing and display. The ultrasonic system has low cost and power consumption and strong portability, and ensures good image performance and usability.
Description
Technical Field
The invention relates to the field of ultrasonic image data processing, in particular to an ultrasonic image processing method and an ultrasonic system based on cloud computing.
Background
The ultrasonic imaging diagnosis is a check which does not generate side effect to human body, and has the advantages of low ultrasonic diagnosis cost, convenience, universality, real-time performance and the like, so that the ultrasonic diagnosis through an ultrasonic system becomes a necessary apparatus for diagnosing focus of a hospital.
At present, the process of generating an ultrasonic image in real time by an ultrasonic system consists of an analog part and a digital part, and the imaging function and performance of the ultrasonic system are jointly determined by the analog part and the digital part; the analog part is responsible for transmitting and receiving ultrasonic waves and determines the signal quality, and the higher the signal quality is, the larger the information quantity is, and the higher the requirement on the processing capacity of the digital part is; the digital part comprises signal processing and image processing, and the higher the processing capacity of the digital part is, the more functions can be supported. In the ultrasonic system, only the analog transmitting and receiving part is a special system, and the Digital part is a general computing system, such as an FPGA (Field Programmable Gate Array), a DSP (Digital Signal processor), a CPU (Central Processing Unit) and a GPU (graphic Processing Unit); and most of the signal processing in the digital part is realized by FPGA, and most of the image processing is realized by software (CPU + GPU).
In the prior art, the ultrasound system is usually designed as an independent system, and after the deep learning based on big data is popular, the digital part processing of the ultrasound system in the independent system becomes a bottleneck obviously. Most of the ultrasound systems currently in use are generally complex and bulky and therefore can only be set up in a fixed location for use; however, with the development of ultrasound visualization technology, ultrasound systems are no longer used in fixed environments such as ultrasound department, and are used in outdoor emergency, critical care, anesthesia, operating room, and other environments. Therefore, the ultrasound system in a clinical scene is taken as a clinician's visual inspection instrument, and the requirements on portability and reliability of the ultrasound equipment are greatly improved.
A portable ultrasonic system appears based on the above requirements, but the portable ultrasonic system is constrained by design such as a battery, power, heat dissipation and the like, and cannot support the realization of advanced ultrasonic imaging modes such as 4D, plane wave, ultrasonic standard surface intelligent identification and the like; and the cost of the existing portable ultrasonic system is high, and the image performance can not meet the wide clinical requirements under the conditions of limited cost, power consumption and volume. That is, the occupation ratio of the CPU and the GPU for image processing in the ultrasonic digital processing is higher and higher, the performance requirement is higher and higher, and the power consumption occupation ratio is higher and higher; although the processing capability of the mobile device chip is gradually enhanced, the digital processing capability of the portable ultrasound system is still limited (due to the difference of hardware resources, the amount of data processed on different devices, such as 32 channels, 44 channels, full channels, etc., by the different ultrasound systems under the substantially same processing flow is definitely very different from the algorithm complexity), therefore, the portable ultrasound system (including the wireless probe) is mostly limited by hardware conditions, a compromise is made on the algorithm complexity, and a low-channel design is adopted more, which greatly limits the usable range of the portable ultrasound system.
Moreover, with the progress of algorithms represented by deep learning, the demand for computing power is higher and higher, the architecture of the digital part at the back end of the ultrasound system is more and more changed, and even the back end of the ultrasound system may appear an NPU (network-Processing Unit) computing carrier in the future.
At present, after the cloud computing technology is started, a scheme that an ultrasonic image is detected through a wireless probe and then the ultrasonic image processing part is processed by completely using a cloud computing mode exists, and the scheme has the defects that in an actual medical environment, for a computing-intensive ultrasonic real-time imaging application scene, the cloud service can be frequently unavailable due to the limitation of network conditions and server factors (in the environments such as outdoor emergency treatment, severe cases, anesthesia and operating rooms, the problems of electromagnetic shielding, electromagnetic interference, insufficient coverage of mobile network signals and the like generally exist), and the unavailable cloud service means that the basic functions of an ultrasonic system cannot be used, namely, the ultrasonic system cannot be ensured to be available anytime and anywhere. This means that the clinician either needs to replace the device or return to a "blind" state for diagnosis and treatment (e.g., during regional nerve block anesthesia, guided by ultrasound, becoming a "blind puncture"), which is clearly unacceptable.
Disclosure of Invention
In view of the foregoing, it is necessary to provide an ultrasound image processing method and an ultrasound system based on cloud computing to solve the problems of limited processing capability and low availability of the ultrasound system in the prior art.
A cloud computing-based ultrasound image processing method includes:
the method comprises the steps that a display interaction terminal sends a direct connection instruction to an ultrasonic transceiving terminal to be directly connected, and when the ultrasonic transceiving terminal and a first network with high availability are detected to be available, the direct connection between the ultrasonic transceiving terminal and the display interaction terminal is established through the first network;
when detecting that both a cloud processing system and a second network are available, enabling the ultrasonic receiving and transmitting terminal to upload ultrasonic image data received by scanning to the cloud processing system through a cloud connection path for image processing, and enabling the cloud processing system to send the ultrasonic image data subjected to image processing to the display interaction terminal through the second network for displaying; the cloud connection path is the only communication connection path between the ultrasonic receiving and transmitting terminal and a cloud processing system; the cloud connection path comprises an ultrasonic receiving and transmitting terminal, a first network, a display interaction terminal, a second network and a cloud processing system which are connected in sequence;
when detecting that at least one of the cloud processing system and the second network is unavailable, the ultrasonic receiving and transmitting terminal sends ultrasonic image data received by scanning to the display interactive terminal through the first network, and the display interactive terminal performs image processing and display on the received ultrasonic image data.
A system for executing the cloud computing-based ultrasonic image processing method comprises an ultrasonic receiving and transmitting terminal, a display interaction terminal and a cloud processing system; the ultrasonic transceiving terminal is directly connected with the display interaction terminal through a first network with high availability; and the display interaction terminal is in communication connection with the cloud processing system through a second network.
In the cloud-computing-based ultrasonic image processing method and the cloud-computing-based ultrasonic image processing system, the display interaction terminal sends a direct connection instruction to the ultrasonic transceiving terminal to be directly connected, and when the ultrasonic transceiving terminal and the first network are both detected to be available, the direct connection between the ultrasonic transceiving terminal and the display interaction terminal is established through the first network; when detecting that both a cloud processing system and a second network are available, enabling the ultrasonic receiving and transmitting terminal to upload ultrasonic image data received by scanning to the cloud processing system through a cloud connection path for image processing, and enabling the cloud processing system to send the ultrasonic image data subjected to image processing to the display interaction terminal through the second network for displaying; the cloud connection path is the only communication connection path between the ultrasonic receiving and transmitting terminal and a cloud processing system; the cloud connection path comprises an ultrasonic receiving and transmitting terminal, a display interaction terminal and a cloud processing system which are connected in sequence; the ultrasonic receiving and transmitting terminal is directly connected with the display interaction terminal through a first network; the display interaction terminal is in communication connection with the cloud processing system through a second network; when detecting that at least one of the cloud processing system and the second network is unavailable, the ultrasonic receiving and transmitting terminal sends ultrasonic image data received by scanning to the display interactive terminal through the first network, and the display interactive terminal performs image processing and display on the received ultrasonic image data.
The ultrasonic system is different from an independent ultrasonic system and a common wireless probe ultrasonic system, and comprises an ultrasonic receiving and transmitting terminal, a cloud processing system and a display interaction terminal, wherein the ultrasonic receiving and transmitting terminal, the cloud processing system and the display interaction terminal can form two image processing paths through a first network and a second network; the first image processing path is a cloud connection path: the method comprises the following steps that an ultrasonic transceiving terminal, a first network, a display interaction terminal, a second network and a cloud processing system are arranged; the second image processing path is a previous part in the cloud connection path: an ultrasonic transceiving terminal-a first network-a display interaction terminal; and then the image processing is carried out on the ultrasonic image data through the different image processing paths under the condition of different usability, so that the overall reliability (usability) of the ultrasonic system is improved.
In the above process, since the cloud processing system is adopted in the first image processing path (i.e., the cloud connection path) to perform image processing (i.e., the ultrasound system operates in the cloud computing state), the image processing is not limited by the computing capability of the image processing system, and more advanced imaging processing modes can be used to obtain a high-quality ultrasound image. When the ultrasonic system works in a cloud computing state, the performance of the finally obtained ultrasonic image is ensured, and meanwhile, the portable performance of the ultrasonic system is not limited any more by utilizing cloud computing resources, so that the contradiction between the enhancement of the computing capacity of the ultrasonic system and the power consumption and heat dissipation of the portable device does not exist any more. When any link in the cloud connection path except the second image processing path is unavailable (i.e., at least one of the second network and the cloud processing system behind the second image processing path in the cloud connection path is unavailable), the image processing is performed through the second image processing path (i.e., the ultrasound system operates in a local computing state), and the availability of the ultrasound system at any time is ensured by using local computing resources.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments of the present invention will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without inventive labor.
FIG. 1 is a schematic diagram of an ultrasound system in one embodiment of the present invention;
FIG. 2 is a flow chart illustrating a cloud computing-based ultrasound image processing method according to an embodiment of the present invention;
fig. 3 is a flowchart illustrating step S20 of the cloud-computing-based ultrasound image processing method according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the cloud computing-based ultrasound image processing method and the ultrasound system provided by the embodiment, the cloud computing-based ultrasound image processing method can be applied to the ultrasound system. That is, the ultrasound system corresponds to the cloud-computing-based ultrasound image processing method one to one.
In one embodiment, as shown in fig. 1, the ultrasound system includes an ultrasound transceiver terminal 1, a display interaction terminal 2 and a cloud processing system 3; the ultrasonic transceiver terminal 1 is directly connected with the display interaction terminal 2 through a first network 4 with high availability; the display interactive terminal 2 is in communication connection with the cloud processing system 3 through a second network 5. In addition, in the invention, a cloud connection path (the ultrasonic transceiver terminal 1-the first network 4-the display interactive terminal 2-the second network 5-the cloud processing system 3) is the only communication connection path between the ultrasonic transceiver terminal and the cloud processing system; that is, in the present invention, since the human-computer interaction means generally provided by the ultrasound transceiver terminal 1 (i.e. the wireless probe) is limited (often, only a few simple buttons are provided, and therefore, the interaction function is limited), in the present invention, the ultrasound transceiver terminal 1 is not directly connected to the cloud processing system 3 through any network, but the two terminals can be connected through the cloud connection path in a communication manner. Therefore, the ultrasonic transceiver terminal 1 can be focused on the ultrasonic scanning function, the power consumption is reduced, the heat dissipation function is improved, and the scanning efficiency is improved.
The display interactive terminal 2 is used for providing a user interactive interface, so that a user can set and adjust parameters of the ultrasonic system to realize specific transmitting, receiving, imaging conditions and the like. Under the determined transmitting or receiving condition, the ultrasonic transceiver terminal 1 transmits ultrasonic signals to human tissues, receives echo signals reflected by the human tissues, obtains ultrasonic image data after beam synthesis, digital signal processing and the like, and performs image processing through two different image processing paths under different usability conditions (determined by dynamic configuration of an ultrasonic system), thereby improving the overall reliability (usability) of the ultrasonic system; the first image processing path is a cloud connection path: the method comprises the steps that an ultrasonic transceiving terminal 1, a first network 4, a display interaction terminal 2, a second network 5 and a cloud processing system 3 are arranged; the second image processing path is a previous part in the cloud connection path: ultrasound transceiver terminal 1-first network 4-display interactive terminal 2.
In the above process, since the cloud processing system 3 is adopted in the first image processing path (i.e., the cloud connection path) to perform image processing (i.e., the ultrasound system operates in the cloud computing state), the image processing may not be limited by the computing capability of the ultrasound system, and more advanced imaging processing modes may be used to obtain a high-quality ultrasound image, therefore, preferably, the image processing is performed through the cloud connection path under the condition that the cloud connection path is entirely available, and based on the cloud computing and the wireless communication network (the first network 4 and the second network 5) in the preferred scheme, the ultrasound system can maintain good image performance in the states of lower cost power consumption and more portable volume, and has rich image functions. When the ultrasonic system works in a cloud computing state, the performance of the finally obtained ultrasonic image is ensured, and meanwhile, the portable performance of the ultrasonic system is not limited any more by utilizing cloud computing resources, so that the contradiction between the enhancement of the computing capacity of the ultrasonic system and the power consumption and heat dissipation of the portable device does not exist any more.
When any link except the second image processing path in the cloud connection path is unavailable (that is, at least one of a second network and a cloud processing system behind the second image processing path in the cloud connection path is unavailable), image processing is performed through the second image processing path (that is, the ultrasonic system works in a local computing state), the problem of reduced availability of cloud computing resources is solved by using local computing resources, and the ultrasonic system is ensured to have availability at all times. In the invention, the display interactive terminal 2 can adopt a general-purpose computing device (since the cloud computing state is preferably selected for working, the display interactive terminal 2 does not need to have super-strong computing performance), the cost of the ultrasonic system is reduced, the latest hardware resource can be used only by upgrading software in the display interactive terminal 2, and the computing capability of the display interactive terminal 2 is improved.
Understandably, when the ultrasound system is initialized or a user sets imaging parameters in the display interactive terminal 2, the display interactive terminal 2 issues transmitting and receiving parameter conditions to the ultrasound transceiving terminal 1 through the second image processing path. And because the ultrasound transceiver terminal 1 is directly connected with the display interaction terminal 2 through the first network 4 with high availability, the ultrasound transceiver terminal 1 also reports the working state of the ultrasound transceiver terminal 1 to the display interaction terminal 2 through the first network 4 with high availability at regular time, so as to find out the availability problem of the first network 4 or the display interaction terminal 2 in time.
In an embodiment, the display interaction terminal 2 is a mobile terminal, and the mobile terminal includes but is not limited to a smart phone, a tablet computer, a notebook computer, a wearable device, and the like; the ultrasonic receiving and transmitting terminal 1 is a wireless ultrasonic probe (wireless probe); the second network 5 includes but is not limited to a 4G network or a 5G network; the first network 4 includes but is not limited to a WIFI-direct network. The mobile terminal of the present invention may operate in the first network 4 or the second network 5 simultaneously. The wireless probe of the present invention may operate on a first network 4.
The cloud processing system 3 is a general-purpose computing device, and in the present invention, the second network 5 is preferably a 4G network or a 5G network with better portability, so that the mobile terminal can directly connect to the cloud processing system 3 through the second network 5 without considering whether the local area network in the hospital is connected to an external network. However, in the present invention, the second network 5 may be not limited to a 4G network or a 5G network, and may be a WIFI network, a wired connection network, or the like.
Because the WIFI direct connection signal strength only depends on the distance and the shielding between the ultrasonic transceiving terminal 1 and the display interaction terminal 2, does not depend on a third party, is minimally influenced by the environment, and has higher reliability than a 4G network or a 5G network, the first network 4 preferably is a WIFI direct connection network with higher availability (when the WIFI direct connection network is adopted, a wireless probe serves as an access point to provide WIFI service) in order to better solve the problem that the system cannot be used when the indoor 4G network or the indoor 5G network are weak in signal. It should be understood that the first network 4 in the present invention is not limited to a WIFI direct connection network, and may also be other networks with high availability, for example, a WIFI network formed by a WIFI router formed by a wireless probe itself, a high-quality local WIFI network, a USB transmission network, or an ethernet wired transmission network.
Further, the cloud processing system 3 includes a plurality of image processing units, so as to construct a plurality of sets of ultrasound systems capable of working simultaneously with the plurality of ultrasound transceiver terminals 1 and the plurality of display interaction terminals 2 (the image processing units in each set of ultrasound systems and the ultrasound transceiver terminals 1 are not directly connected through the network, but are only connected through the cloud connection path in a communication manner). At the moment, an image processing unit is matched with an ultrasonic receiving and transmitting terminal 1 and a display interactive terminal 2 for use to form a plurality of complete ultrasonic systems, and image data streams and parameter data streams in each ultrasonic system are strictly matched, so that the effect of supporting a plurality of users to simultaneously scan ultrasonic images of a plurality of tested human tissues is achieved.
Understandably, in each complete set of ultrasound system, each image processing unit comprises a first parameter management subunit and a first image processing subunit, and each display interaction terminal 2 comprises a second parameter management subunit and a second image processing subunit, that is, one first parameter management subunit is correspondingly connected with one second parameter management subunit through a second network, and one first image processing subunit is correspondingly connected with one second image processing subunit through the second network; similarly, each ultrasound transceiver terminal 1 includes a scanning control unit (which controls the wireless probe to perform ultrasound scanning according to the received parameter data stream) and a signal processing unit (which generates ultrasound image data according to the image data stream obtained by scanning the wireless probe), that is, a second parameter management subunit is correspondingly connected to one scanning control unit through the first network, and a second image processing subunit is correspondingly connected to one signal processing unit through the first network. Therefore, the first image processing path and the second image processing path in the ultrasonic system can independently form a system through the first network and the second network, the image data stream and the parameter data stream in each set of ultrasonic system are strictly matched, the overall usability of the system is improved, and the effect of supporting a plurality of users to simultaneously carry out ultrasonic image scanning on a plurality of tested human tissues is achieved.
In an embodiment, as shown in fig. 2, there is provided a cloud computing-based ultrasound image processing method, including the steps of:
s10, the display interaction terminal 2 sends a direct connection instruction to the ultrasonic transceiver terminal 1 to be directly connected, and when the ultrasonic transceiver terminal 1 and the first network 4 with high availability are detected to be available, the direct connection between the ultrasonic transceiver terminal 1 and the display interaction terminal 2 is established through the first network 4; understandably, the cloud processing system 3 and the ultrasonic transceiver terminal 1 work under the control of the display interactive terminal 2, and the usability of the cloud processing system 3 and the ultrasonic transceiver terminal 1 can be judged through the display interactive terminal 2; for example, when the cloud processing system 3 and the ultrasound transceiver terminal 1 are unavailable, the time delay for displaying the image received by the interactive terminal 2 will exceed a preset standard (the preset standard can be set according to requirements; for example, the preset standard is a preset time delay standard corresponding to a condition that the cloud service capability can follow the concurrency requirement to perform image processing, and at this time, if the cloud service capability of the cloud processing system 3 cannot follow the concurrency requirement, the time delay for displaying the image received by the interactive terminal 2 will inevitably exceed the preset standard); for another example, the display interaction terminal 2 and the cloud processing system 3 are not in the same state, for example, the display interaction terminal 2 is in a real-time image display state, but cannot receive the ultrasound image for display uploaded by the cloud processing system 3 for a long time, which indicates that the cloud processing system cannot reach the preset standard for enabling the display interaction terminal 2 to enter the real-time image display state, and the display interaction terminal 2 and the cloud processing system are not in the same state; or, the connection between the terminals or modules is completely interrupted.
Understandably, the direct connection instruction is sent to the ultrasonic transceiver terminal 1 to be directly connected through the display interactive terminal 2, and the generation mode of the direct connection instruction can be set according to requirements, for example, after the ultrasonic transceiver terminal 1 to be directly connected is directly selected in the display interactive terminal 2, the preset button is triggered to generate the direct connection instruction and send the direct connection instruction to the selected ultrasonic transceiver terminal 1. For another example, each ultrasound transceiver terminal 1 is provided with an identification code (two-dimensional code or one-dimensional code, etc.), and the display interactive terminal 2 identifies the identification code (the display interactive terminal 2 identifies the identification code and can perform code scanning identification through the existing social application program, and then the identification result and direct connection are displayed in a browser, and no special application program needs to be additionally installed to perform code scanning, etc., so that the requirement on hardware configuration of the display interactive terminal 2 is low), and then a direct connection instruction is automatically sent to the ultrasound transceiver terminal 1 corresponding to the identification code. Or, the display interaction terminal 2 may be used as an NFC (Near Field Communication) initiating device to approach a certain ultrasound transceiver terminal 1 (the ultrasound transceiver terminal 1 is used as an NFC target device) so as to send a direct connection instruction to the ultrasound transceiver terminal 1 and establish an NFC connection with the ultrasound transceiver terminal 1. That is, the sending of the direct connection command may or may not be related to the high availability network, and the purpose thereof is only to quickly and conveniently establish the direct connection between the display interaction terminal 2 and the ultrasound transceiving terminal 1. Understandably, in the present invention, the display interaction terminal 2 further needs to send a connection instruction to the cloud processing system 3 through the second network 5, and the sending time point of the connection instruction may be before, after, or both of the sending time points of the direct connection instruction. Specifically, after the cloud processing system 3 to be connected is directly selected in the display interactive terminal 2, a preset key (which may be an entity key or a virtual key) is triggered to generate a connection instruction and send the connection instruction to the selected cloud processing system 3.
The user can send a direct connection instruction to the ultrasound transceiving terminal 1 to be directly connected through the display interactive terminal 2, which indicates that the display interactive terminal 2 is available (in the working process of the ultrasound system, the display interactive terminal 2 is always available, and whether the whole ultrasound system cannot operate or not), but the display interactive terminal does not necessarily meet the basic imaging requirement, so that when the availability of the ultrasound transceiving terminal 1 and the first network 4 is detected, the calculation performance of the display interactive terminal 2 can be simultaneously detected, and further the display interactive terminal is used for determining whether the display interactive terminal meets the basic imaging requirement or not. Understandably, when the display interactive terminal 2 sends a direct connection instruction to the ultrasonic transceiver terminal 1 to be directly connected, the process of selecting the ultrasonic transceiver terminal 1 directly connected with the display interactive terminal 2 is performed, and the fact that the ultrasonic transceiver terminal 1 is really available is not necessarily meant; therefore, usability detection of the ultrasound transceiver terminal 1 is also required. In addition, during the working process of the ultrasound system, the ultrasound transceiver terminal 1 also reports the working state of the ultrasound transceiver terminal 1 to the display interactive terminal 2 through the first network 4 at regular time, so as to find out the usability problem of the ultrasound transceiver terminal 1, the first network 4 or the display interactive terminal 2 in time.
Further, in step S10, after the displaying interactive terminal 2 sends the direct connection instruction to the ultrasound transceiver terminal 1 to be directly connected, the method further includes: and when the ultrasonic transceiver terminal 1 or/and the first network 4 are/is detected to be unavailable, prompting that the direct connection between the ultrasonic transceiver terminal 1 and the display interaction terminal 2 fails. That is, when detecting that the ultrasound transceiving terminal 1 or/and the first network 4 are not available, it is described that the direct connection between the ultrasound transceiving terminals 1 to be directly connected selected for the display interactive terminal 2 fails, and at this time, the direct connection failure corresponding to the direct connection instruction is prompted so as to perform the direct connection operation of the next step, that is, the next ultrasound transceiving terminal 1 directly connected with the display interactive terminal 2 is selected. In an embodiment, after the step S10, that is, after the direct connection between the ultrasound transceiver terminal 1 and the display interaction terminal 2 is established through the first network 4, the method further includes:
and receiving a local processing limiting instruction, enabling the ultrasound transceiver terminal 1 to send the ultrasound image data received by scanning to the display interactive terminal 2 through the first network 4, and enabling the display interactive terminal 2 to perform image processing and display on the received ultrasound image data. That is, after it is determined that the ultrasound transceiver terminal 1 selected for the display interactive terminal 2 is directly connected successfully, at this time, if the user selects a local processing limiting instruction corresponding to the local computing state on the display interactive terminal 2, at this time, the user does not consider entering the cloud computing state to perform work (i.e., does not consider performing image processing through the first image processing path), but performs image processing through the second image processing path, and in this embodiment, only performs image processing in the display interactive terminal 2. However, in the present invention, the image processing process may be performed in the display interaction terminal 2 and/or the ultrasound transceiver terminal 1, as long as the display interaction terminal 2 and/or the ultrasound transceiver terminal 1 corresponding thereto have availability, and the first network 4 and the display interaction terminal 2 and/or the ultrasound transceiver terminal 1 meet the basic imaging requirement.
S20, when detecting that both the cloud processing system 3 and the second network 5 are available, enabling the ultrasound transceiver terminal 1 to upload ultrasound image data received by scanning to the cloud processing system 3 through a cloud connection path for image processing, and then enabling the cloud processing system 3 to send the ultrasound image data after image processing to the display interaction terminal 2 through the second network 5 for display; the cloud connection path is the only communication connection path between the ultrasonic transceiver terminal 1 and the cloud processing system 3; the cloud connection path comprises an ultrasonic receiving and transmitting terminal 1, a first network 4, a display interaction terminal 2, a second network 5 and a cloud processing system 3 which are connected in sequence; after detecting that both the cloud processing system 3 and the second network 5 are available, the ultrasound transceiver terminal 1 is enabled to upload ultrasound image data received by scanning to the cloud processing system 3 through a cloud connection path for image processing. In this step, the image processing may determine an image processing mode according to an actual network communication condition, etc. to obtain different image qualities, and then display the ultrasound image data with different image qualities in a preset display interface of the display interactive terminal 2.
In this step, since the image processing performed by the cloud processing system 3 in the first image processing path (i.e., the entire cloud connection path) may not be limited by the computing capability thereof, and more advanced imaging processing modes may be used when network communication adjustment allows, so as to obtain a high-quality ultrasound image, it is preferable that the image processing is performed by the first image processing path when the first image processing path is available, and in this preferable scheme, based on the cloud computing and the wireless communication network (the first network 4 and the second network 5), the ultrasound system can maintain good image performance and have rich image functions in a state of lower cost power consumption and more portable volume.
S30, when detecting that at least one of the cloud processing system 3 and the second network 5 terminal is unavailable, the ultrasound transceiver terminal 1 sends the ultrasound image data received by scanning to the display interaction terminal 2 through the first network 4, and the display interaction terminal 2 performs image processing and displaying on the received ultrasound image data.
In this embodiment, the display interaction terminal 2 detects the working states of the cloud processing system 3 and the ultrasound transceiver terminal 1 at any time, and when any one of the links except the second image processing path in the cloud connection path is unavailable (that is, at least one of the second network and the cloud processing system behind the second image processing path in the cloud connection path is unavailable), it indicates that the whole ultrasound system deviates from the cloud computing working state that can be performed in the above preferred scheme, and image processing cannot be performed by the cloud processing system 3, and at this time, image processing is performed by the second image processing path (that is, the ultrasound system works in the local computing state) to ensure that the ultrasound imaging process is performed, so that local computing resources are used to ensure that the ultrasound system has availability at any time.
The ultrasonic system is different from an independent system and comprises an ultrasonic transceiving terminal 1, a cloud processing system 3 and a display interaction terminal 2, and the three can form two image processing paths through different networks (a first network 4 and a second network); the first image processing path is a cloud connection path: the method comprises the steps that an ultrasonic transceiving terminal 1, a first network 4, a display interaction terminal 2, a second network 5 and a cloud processing system 3 are arranged; the second image processing path is a previous part in the cloud connection path: an ultrasonic transceiving terminal 1-a first network 4-a display interaction terminal 2; and then the ultrasonic image data is processed through the different image processing paths under different usability conditions, so that the overall reliability (usability) of the ultrasonic system is improved.
In an embodiment, as shown in fig. 3, in step S20, the enabling the ultrasound transceiver terminal to upload ultrasound image data received by scanning to the cloud processing system through a cloud connection path for image processing, and then enabling the cloud processing system to send the ultrasound image data after image processing to the display interaction terminal through a second network for displaying includes:
s201, detecting whether the first network 4 and the second network 5 in a cloud connection path meet preset network communication conditions; the preset network communication condition refers to a preset bandwidth condition and a preset time delay condition for smooth communication; specifically, the bandwidth refers to the amount of data transmitted per second, and the amount of data per second is frame rate frame number point number line number byte number, so the number of bytes is usually 4, 2, 1, and usually the number of frames is 1, according to the difference of each link in the ultrasonic imaging, and when the spatial compounding is started, the number of frames is 3, and by the above formula, the specific required bandwidth meeting the smooth communication can be tested in advance when the connection is established, and set as the preset bandwidth condition corresponding to each link. Since end-to-end delay is the inherent delay in a non-congested condition of a computer network, it is generally relatively fixed, but if bandwidth decreases, resulting in network congestion, the measured delay increases. Therefore, in some embodiments of the present invention, it may also be determined whether the preset bandwidth condition and the preset delay condition are met simultaneously according to the delay only. That is, the ultrasound system may synchronize the system clock (implemented based on the NTP protocol) in advance, and then determine whether the time delay satisfies the inherent time delay. Preferably, when the ultrasound system performs cardiac ultrasound detection, the preset delay condition is deemed not to be satisfied when the time delay exceeds 100ms, and when the ultrasound system performs abdominal ultrasound detection, the preset delay condition is deemed not to be satisfied when the time delay exceeds 200 ms.
S202, when both the first network 4 and the second network 5 meet a preset network communication condition, after the ultrasound transceiver terminal sends the ultrasound image data received by scanning to the display interaction terminal 2 through the first network 4, the display interaction terminal 2 forwards the ultrasound image data to the cloud processing system 3 through the second network 5;
s203, after performing advanced imaging processing on the ultrasound image data through the cloud processing system 3 and generating a high-quality image, sending the high-quality image to the display interactive terminal 2 through the second network 5 for displaying.
That is, in this embodiment, when the first network 4 and the second network 5 both satisfy the preset network communication condition and the communication is smooth, and the cloud processing system 3 is available, the ultrasound transceiver terminal 1 communicates with the cloud processing system 3 through the cloud connection path, the image processing is performed in the cloud processing system 3, and the cloud processing system 3 can support the advanced imaging algorithm to perform the advanced imaging processing, including but not limited to complex image modes such as 3D/4D reconstruction, curve anatomy M, wide view imaging, and image parameters such as image enhancement, edge detection, frame correlation, and speckle elimination. The final generated high-quality image is not only high in image quality (such as definition, size, color, etc.), but also may refer to a high-quality image with different advanced image functions, wherein the advanced image functions include, but are not limited to, advanced imaging mode (e.g., 4D image mode, etc.), real-time AI recognition (e.g., real-time blood vessel recognition, real-time neural recognition, etc.).
In an embodiment, after the step S201, that is, after detecting whether the first network 4 and the second network 5 in the cloud connection path satisfy a preset network communication condition, the method further includes:
when the first network 4 or/and the second network 5 do not meet preset network communication conditions, if the first network 4, the second network 5 and the cloud processing system 3 all meet basic imaging requirements, the ultrasound transceiver terminal sends ultrasound image data received by scanning to the display interaction terminal through the first network, and then the display interaction terminal forwards the ultrasound image data to the cloud processing system through the second network;
after image parameter constraint imaging processing is performed on the ultrasonic image data through the cloud processing system 3 to generate a low-quality image, the low-quality image is sent to the display interaction terminal 2 through the second network 5 to be displayed, and image quality reduction information is prompted in the display interaction terminal 2.
In this embodiment, when the ultrasound imaging is initially performed, it is determined that the first network 4 or/and the second network 5 do not satisfy the preset network communication condition; or after the first network 4 and the second network 5 both satisfy the preset network communication condition, when the first network 4 or/and the second network 5 does not satisfy the preset network communication condition due to the decrease of the network condition (bandwidth, delay) of the first network 4 or/and the second network 5, although the cloud processing system 3 is available, since data transmission is limited, the advanced imaging processing of the cloud processing system 3 cannot be supported, at this time, certain constraints can be performed on parameters in the ultrasound image data (such as user-adjustable image parameters of image enhancement, edge detection, frame correlation, speckle elimination, and the like, or user parameters related to parameters of line density, line point number, frame rate, and the like), that is, the ultrasound image data is subjected to image parameter constraint imaging processing by the cloud processing system 3, so as to reduce the image quality (generate low-quality images) to ensure the image correctness, the problem of cloud computing resource usability decline is solved. However, when obtaining and displaying a low-quality image in this way, it is also necessary to prompt the user with image quality degradation information in a preset display interface of the display interactive terminal 2.
Further, after the step S201, that is, after detecting whether the first network 4 and the second network 5 in the cloud connection path satisfy a preset network communication condition, the method further includes:
when the first network 4 or/and the second network 5 do not meet preset network communication conditions and at least one of the second network 5 and the cloud processing system 3 does not meet basic imaging requirements, detecting whether the first network 4 and the display interaction terminal 2 meet the basic imaging requirements or not.
That is, when at least one of the second network 5 and the cloud processing system 3 has a situation that the usability does not satisfy the basic imaging requirement, it needs to detect whether the first network 4 and the display interaction terminal 2 can satisfy the basic imaging requirement of the user, and then determine whether the image processing mode can be changed. Wherein, the detecting whether the cloud processing system 3 or the display interactive terminal 2 can meet the basic imaging requirement of the user means that after the parameters in the ultrasound image data are subjected to certain constraints, whether the image parameter constraint imaging processing (such as B, Color, M, PW, CW and their combination forms, the data volume and the calculation amount of which are relatively small) on the ultrasonic image data can meet the basic requirements of low-quality images is performed through the cloud processing system 3 or the display interactive terminal 2, the bandwidth requirement for the basic imaging requirement is a bandwidth value within a predetermined bandwidth range (considering the compressed transmission, the required bandwidth may vary within a certain range), and therefore, it can be determined that the bandwidth of the first network 4 and the second network 5 does not satisfy the basic imaging requirements by confirming that it is smaller than the above bandwidth value. And the basic imaging requirements of the cloud processing system 3 and the display interactive terminal 2 can be judged through time delay according to the above contents.
When the first network 4 and the display interactive terminal 2 both meet the basic imaging requirement, determining an image processing subject; the image processing main body is the display interactive terminal 2 or a first processing assembly; the first processing assembly is the display interactive terminal 2 and the cloud processing system 3. Further, the determining the image processing subject further includes: if the ultrasonic transceiver terminal 1 meets the basic imaging requirement, determining that the image processing main body further comprises a second processing combination body, a third processing combination body and a fourth processing combination body; the second processing assembly is the ultrasonic transceiver terminal 1, the display interaction terminal 2 and the cloud processing system 3; the third processing assembly is the ultrasonic transceiver terminal 1 and the display interactive terminal 2; the fourth processing assembly is the ultrasound transceiver terminal 1 and the cloud processing system 3.
And the ultrasonic transceiving terminal 1 sends the ultrasonic image data received by scanning to the image processing main body for image parameter constraint imaging processing, and displays all the low-quality images and prompts image quality reduction information in the display interactive terminal 2 after the low-quality images are generated.
That is, when at least one of the second network and the cloud processing system in the first image processing path does not satisfy the basic imaging requirement, it is indicated that image processing cannot be performed by the cloud processing system 3 alone, at this time, if the ultrasound transceiver terminal 1, the cloud processing system 3, and the display interaction terminal 2 are all available, at this time, image processing may be allocated to one or more of the ultrasound transceiver terminal 1, the cloud processing system 3, and the display interaction terminal 2 for processing (at this time, it is not allocated to the cloud processing system 3 alone, that is, the image processing main body inevitably includes the ultrasound transceiver terminal 1 or the display interaction terminal 2 in the second image processing path), and then image processing is performed by the image processing main body according to the allocation result. At this time, all data transmission (image data uploading, parameter data issuing) must be performed through the first network 4, and the ultrasound imaging calculation work is shared by the image processing subject. However, when obtaining and displaying a low-quality image in this way, it is also necessary to prompt the user with image quality degradation information in a preset display interface of the display interactive terminal 2.
In an embodiment, after detecting whether the first network 4 and the display interaction terminal 2 satisfy the basic imaging requirement, the method further includes:
and when the first network 4 or/and the display interactive terminal 2 do not meet the basic imaging requirement, warning that imaging cannot be performed in the display interactive terminal 2, and enabling the ultrasonic transceiver terminal 1 to stop detecting ultrasonic image data. That is, if the network speed of at least one of the first network 4 and the second network 5 is too low, the availability of the cloud processing system 3 is reduced (when the cloud processing system 3 fails or the concurrent flow suddenly increases, the capacity expansion speed may be exceeded, and the availability is reduced), the performance of the display interaction terminal 2 is too low, and the like, even if the image parameter constraint imaging processing is performed through the combination of the modules in the ultrasound system, and the basic imaging requirement corresponding to the low-quality image cannot be met, a warning that imaging cannot be performed should be sent out in the display interaction terminal 2 (or the warning may be sent through the ultrasound transceiving terminal 1), and then the ultrasound transceiving terminal 1 is stopped from operating to detect ultrasound image data, so as to avoid misdiagnosis. In the above-mentioned determination process of the condition that cannot be imaged, the lowest imaging condition (for example, 140 lines × 500 points) corresponding to the ultrasound image data obtained in the detection process of the ultrasound transceiver terminal 1 may be first set, and then it is determined whether the time delay corresponding to the lowest imaging condition meets the preset user requirement, that is, the time delay is higher than the preset user requirement, that is, it is determined that imaging cannot be performed.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
The specific definition of the ultrasound system in the present invention may refer to the above definition of the cloud computing based ultrasound image processing method, so as to perform the operations corresponding to the above cloud computing based ultrasound image processing method.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the system is divided into different functional units or modules to perform all or part of the above-mentioned functions.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
Claims (10)
1. A cloud computing-based ultrasound image processing method is characterized by comprising the following steps:
the method comprises the steps that a display interaction terminal sends a direct connection instruction to an ultrasonic transceiving terminal to be directly connected, and when the ultrasonic transceiving terminal and a first network with high availability are detected to be available, the direct connection between the ultrasonic transceiving terminal and the display interaction terminal is established through the first network;
when detecting that both a cloud processing system and a second network are available, enabling the ultrasonic receiving and transmitting terminal to upload ultrasonic image data received by scanning to the cloud processing system through a cloud connection path for image processing, and enabling the cloud processing system to send the ultrasonic image data subjected to image processing to the display interaction terminal through the second network for displaying; the cloud connection path is the only communication connection path between the ultrasonic receiving and transmitting terminal and a cloud processing system; the cloud connection path comprises an ultrasonic receiving and transmitting terminal, a first network, a display interaction terminal, a second network and a cloud processing system which are connected in sequence;
when detecting that at least one of the cloud processing system and the second network is unavailable, the ultrasonic receiving and transmitting terminal sends ultrasonic image data received by scanning to the display interactive terminal through the first network, and the display interactive terminal performs image processing and display on the received ultrasonic image data.
2. The cloud-computing-based ultrasound image processing method of claim 1, wherein the enabling of the ultrasound transceiver terminal to upload ultrasound image data received by scanning to the cloud processing system through a cloud connection path for image processing, and then enabling the cloud processing system to send the ultrasound image data after image processing to the display interaction terminal through a second network for display comprises:
detecting whether the first network and the second network in a cloud connection path meet preset network communication conditions or not;
when the first network and the second network both meet preset network communication conditions, after the ultrasonic receiving and transmitting terminal sends ultrasonic image data received by scanning to the display interaction terminal through the first network, the display interaction terminal forwards the ultrasonic image data to the cloud processing system through the second network;
and after the advanced imaging processing is carried out on the ultrasonic image data through the cloud processing system and a high-quality image is generated, the high-quality image is sent to the display interactive terminal through a second network for displaying.
3. The cloud-computing-based ultrasound image processing method according to claim 2, wherein after detecting whether the first network and the second network in the cloud connection path satisfy a preset network communication condition, the method further comprises:
when the first network or/and the second network do not meet preset network communication conditions, if the first network, the second network, the display interaction terminal and the cloud processing system all meet basic imaging requirements, the ultrasound transceiver terminal sends scanned and received ultrasound image data to the display interaction terminal through the first network, and then the display interaction terminal forwards the ultrasound image data to the cloud processing system through the second network;
after image parameter constraint imaging processing is carried out on the ultrasonic image data through the cloud processing system to generate a low-quality image, the low-quality image is sent to the display interaction terminal through a second network to be displayed, and image quality reduction information is prompted in the display interaction terminal.
4. The cloud-computing-based ultrasound image processing method of claim 2, wherein after detecting whether the first network and the second network satisfy a preset network communication condition in the cloud connection path, the method further comprises:
when the first network or/and the second network do not meet preset network communication conditions and at least one of the second network and the cloud processing system does not meet basic imaging requirements, detecting whether the first network and the display interaction terminal meet the basic imaging requirements or not;
when the first network and the display interactive terminal both meet the basic imaging requirement, determining an image processing main body; the image processing main body is the display interaction terminal or a first processing assembly; the first processing assembly is the display interaction terminal and the cloud processing system;
and the ultrasonic receiving and transmitting terminal sends the ultrasonic image data received by scanning to the image processing main body for image parameter constraint imaging processing, and after a low-quality image is generated, all the low-quality images are displayed in the display interactive terminal and image quality reduction information is prompted.
5. The cloud-computing-based ultrasound image processing method of claim 4, wherein the determining an image processing subject further comprises:
if the ultrasonic transceiver terminal meets the basic imaging requirement, determining that the image processing main body further comprises a second processing combination body, a third processing combination body and a fourth processing combination body; the second processing assembly is the ultrasonic receiving and sending terminal, the display interaction terminal and the cloud processing system; the third processing assembly is the ultrasonic receiving and transmitting terminal and the display interaction terminal; the fourth processing assembly is the ultrasonic receiving and sending terminal and the cloud processing system.
6. The cloud-computing-based ultrasound image processing method of claim 4, wherein after detecting whether the first network and the display interaction terminal satisfy basic imaging requirements, further comprising:
and when the first network or/and the display interactive terminal do not meet the basic imaging requirement, warning that imaging cannot be performed in the display interactive terminal, and enabling the ultrasonic transceiver terminal to stop detecting ultrasonic image data.
7. The cloud-computing-based ultrasound image processing method of claim 1, wherein after the display interaction terminal sends a direct connection instruction to the ultrasound transceiver terminal to be directly connected, the method further comprises:
and when the ultrasonic transceiver terminal or/and the first network is/are detected to be unavailable, prompting that direct connection between the ultrasonic transceiver terminal and the display interaction terminal fails.
8. The cloud-computing-based ultrasound image processing method of claim 1, wherein after establishing the direct connection between the ultrasound transceiver terminal and the display interaction terminal via the first network, further comprising:
and receiving a local processing limiting instruction, enabling the ultrasonic receiving and transmitting terminal to send the ultrasonic image data received by scanning to the display interactive terminal through a first network, and enabling the display interactive terminal to perform image processing and display on the received ultrasonic image data.
9. An ultrasound system for executing the cloud computing-based ultrasound image processing method according to any one of claims 1 to 8, comprising an ultrasound transceiving terminal, a display interaction terminal and a cloud processing system; the ultrasonic transceiving terminal is directly connected with the display interaction terminal through a first network with high availability; and the display interaction terminal is in communication connection with the cloud processing system through a second network.
10. The ultrasound system, as set forth in claim 9, wherein the display interaction terminal is a mobile terminal; the ultrasonic receiving and transmitting terminal is a wireless ultrasonic probe; the first network is a WIFI direct connection network; the second network is a 4G network or a 5G network.
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