WO2023036118A1 - 信息处理系统和方法 - Google Patents

信息处理系统和方法 Download PDF

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Publication number
WO2023036118A1
WO2023036118A1 PCT/CN2022/117219 CN2022117219W WO2023036118A1 WO 2023036118 A1 WO2023036118 A1 WO 2023036118A1 CN 2022117219 W CN2022117219 W CN 2022117219W WO 2023036118 A1 WO2023036118 A1 WO 2023036118A1
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data
display
terminal
instruction
image
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PCT/CN2022/117219
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English (en)
French (fr)
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孙剑
彭张
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武汉联影医疗科技有限公司
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Priority claimed from CN202111045107.4A external-priority patent/CN114067990A/zh
Priority claimed from CN202111102027.8A external-priority patent/CN114038568A/zh
Application filed by 武汉联影医疗科技有限公司 filed Critical 武汉联影医疗科技有限公司
Publication of WO2023036118A1 publication Critical patent/WO2023036118A1/zh

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    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • G16H40/67—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation

Definitions

  • This specification relates to the technical field of medical equipment, in particular to an information processing system and method.
  • remote consultation through online has shown great advantages, and its application is becoming more and more common.
  • Remote consultation can help grass-roots hospitals solve problems such as scarcity of pathological hospitals, difficult consultations, and rapid freezing of pathology during surgery.
  • the remote ultrasound consultation system can connect the operating doctor and the superior expert in real-time communication.
  • the expert can guide the operating doctor in real time on the operation of the ultrasound probe according to the real-time images and videos on the ultrasound equipment.
  • a plurality of experts cannot perform real-time operations independently at the same time, which causes great inconvenience in the consultation process.
  • the information processing system includes: a cloud platform, at least one imaging device terminal, and at least one display terminal; the imaging device terminal and the display terminal are connected to the cloud platform network to perform data communication with the cloud platform;
  • the cloud platform is used to respond to the instructions of the imaging device terminal and/or the display terminal, feed back the execution result of the instruction to the imaging device terminal and/or the display terminal, or send the imaging device terminal to the imaging device terminal and/or the display terminal based on the instruction.
  • the device terminal and/or the display terminal issues a new instruction.
  • the cloud platform may include at least one of the following: network management module, front-end module, algorithm module, preset management module, measurement module, image operation flow control module, patient information management module, voice and video module , rights management module, application service module.
  • the network management module can be used to manage network communication; the front-end module can be used to control the operation of the imaging device terminal; the algorithm module can be used to process the raw data generated by the imaging device terminal
  • the preset management module can be used to manage configuration files; the measurement module can be used to measure the target object; the image operation flow control module can be used to perform operations based on the image interface; the target object information management
  • the module can be used to manage target object information and data related to the target object;
  • the voice and video module can be used to manage the transmitted voice and video data;
  • the rights management module can be used for rights management;
  • the application service module can be used for Provide value-added application services.
  • the network management module may be used to manage the network connection between the imaging device terminal and the display terminal through the cloud platform, and the network connection between different display terminals in the at least one display terminal.
  • the cloud platform may further include a data collection module, and the data collection module is used to collect and store target object history inspection data.
  • the cloud platform may further include a statistical analysis module, which is configured to perform statistics and analysis of similar inspection data based on the historical inspection data of the target object, and obtain analysis results.
  • a statistical analysis module configured to perform statistics and analysis of similar inspection data based on the historical inspection data of the target object, and obtain analysis results.
  • the statistical analysis module can be further used to: perform image comparison and difference display on the image data based on the time axis; perform trend statistics and analysis on the measurement results of the measurement data; perform inspection results under different parameters Secondary image reconstruction and analysis of results.
  • the imaging device terminal and/or the display terminal may include a data display module for displaying at least one of the historical inspection data of the target object and the analysis result.
  • the imaging device terminal can be used for imaging.
  • the imaging device terminal and/or display terminal may be used to display a cloud desktop, and the cloud desktop is used to display at least one of the following: target object related information, imaging parameter adjustment related information, and image related information.
  • the cloud desktop can divide the functions and operations of the imaging device terminal, wherein the functions and operations are divided into two parts, one part is related to probe adjustment, and the other part is related to the adjustment of uploaded data.
  • the information processing system includes: medical information processing software deployed on a cloud platform, a plurality of display terminals; the operation of the medical information processing software by the display terminals
  • the type of authority includes at least two types; the medical information processing software is used to respond to the instructions of each of the display terminals, generate the instruction execution results corresponding to each of the instructions, and feed back the corresponding instructions to each of the display terminals.
  • Instruction execution results the instructions of each display terminal correspond to the operation authority of each display terminal to the medical information processing software; each display terminal is used to display the instruction execution result.
  • the information processing system may further include an imaging device terminal, at least one display terminal among the plurality of display terminals is connected to the imaging device terminal; the imaging device terminal is configured to Process the control parameters issued by the software and collect the medical data of the target object.
  • each of the display terminals may include an operation function button; wherein, the operation function button is used to generate an operation function based on the operation authority of each display terminal to the medical information processing software when triggered. Instructions for operating the consultation information of the imaging device terminal and the target object.
  • the operation function buttons may include collection information operation buttons, image effect operation buttons, and object information operation buttons;
  • the collection information operation buttons are used to generate collection parameters for the imaging device terminal when triggered An instruction to operate, and/or, when triggered, generate an instruction to operate on the raw medical data of the target object collected by the imaging device terminal;
  • the image effect operation button is used to generate an instruction to the target object when triggered;
  • the object information operation button is used to generate an instruction to edit the consultation information of the target object when triggered.
  • the instruction execution result corresponding to the instruction may be the processed collection parameters of the imaging device terminal, and/or , the processed information of the original medical data of the target object.
  • the collection information operation button may include a data collection button and a data analysis button; the data collection button is used to obtain the inspection data of the target object from the target device when triggered, and the target device includes the At least one device among the imaging device terminal, medical information storage device, and cloud device; the data analysis button is used to determine the time series corresponding to the inspection data when triggered, and analyze the inspection data according to the time series Perform classification to obtain inspection data at each time point in the time series; perform statistical analysis on the inspection data at each time point according to a preset statistical analysis method to obtain statistical analysis results.
  • the instruction execution result corresponding to the instruction may be the edited medical image corresponding to the original medical data. image information.
  • the execution result of the instruction corresponding to the instruction may be a consultation after editing the consultation information of the target object. information.
  • the information processing method includes: responding to the instructions of multiple display terminals, generating an instruction execution result corresponding to each of the instructions; each of the instructions of the display terminals corresponds to the operation authority of the medical information processing software deployed in the cloud platform;
  • the display terminal has at least two types of operation authority for the medical information processing software; feeding back the corresponding instruction execution result to each of the display terminals to instruct each of the display terminals to display the instruction execution result.
  • One of the embodiments of this specification provides a medical device, including a display terminal, a data acquisition device, a memory and a processor, the memory stores a computer program, and the data acquisition device is used to collect the examination data of the target object, and it is characterized in that The steps of the information processing method are realized when the processor executes the computer program, and the display terminal is used to display the result information executed by the processor.
  • the processing method of the ultrasonic examination data includes: obtaining the ultrasonic examination data of the target object from the target device according to the input instruction, and the target device includes at least one device among other ultrasonic devices, medical information storage devices and cloud devices; The time series corresponding to the ultrasonic examination data, and classify the ultrasonic examination data according to the time series, to obtain the ultrasonic examination data at each time point on the time series; according to the preset statistical analysis method, the Statistical analysis was performed on the ultrasonic examination data at time points, and the statistical analysis results were obtained.
  • the input instructions in the method for processing ultrasonic examination data come from a plurality of display terminals
  • the operations of the plurality of display terminals include: in response to the instructions of the plurality of display terminals, generating each The execution result of the instruction corresponding to the instruction; the instruction of each display terminal corresponds to the operation authority of the medical information processing software deployed in the cloud platform; the type of operation authority of the display terminal for the medical information processing software includes at least two and feeding back the corresponding instruction execution results to each of the display terminals, so as to instruct each of the display terminals to display the instruction execution results.
  • other online devices can be searched according to the instructions, and the other online devices are at least one of other online ultrasound devices, medical information storage devices, and cloud devices; if the other online devices are found, Then establish a network connection with the other online devices, and after determining the target device in the other online devices, disconnect the network connections of other online devices except the target device, and obtain from the target device The ultrasonic inspection data of the target object; if the other online device is not found, the ultrasonic inspection data of the target object is acquired from a local ultrasonic device.
  • the ultrasound examination data may include ultrasound image data.
  • the ultrasonic image data at each time point can be sorted and arranged in a chronological order to obtain the arranged image data; data, then extract the image data consistent with the preset and scanned parts and determine it as the comparison image data; determine the arranged image data and the comparison image data as the statistical analysis result.
  • the compared image data may be reconstructed according to preset image parameters to obtain the compared image data with unified image parameters, and the The comparison image data after the unified image parameters are determined as the statistical analysis result.
  • difference image data between the comparison image data may be determined, and the difference image data may be determined as the statistical analysis result.
  • the sonographic data may include measurement data.
  • the measurement data at each time point can be sorted and arranged in a chronological order to obtain the arranged measurement data; the data change trend of each measurement item in the arranged measurement data can be calculated; The data variation trend of each measurement item is determined as the statistical analysis result.
  • a trend analysis may be performed on the data change trend of each measurement item, and the result of the trend analysis may be determined as the statistical analysis result.
  • the statistical analysis results may be displayed on the display interface by at least one of graphs, tables, and text.
  • One of the embodiments of this specification provides a computer device, including a memory and a processor, the memory stores a computer program, and it is characterized in that, when the processor executes the computer program, the processing method of the ultrasonic examination data is implemented step.
  • the system includes: an acquisition module, configured to acquire ultrasonic examination data of an inspection object from a target device according to an input instruction; the target device is at least one device among other ultrasonic devices, medical information storage devices, and cloud devices; a determination module , used to determine the time series corresponding to the ultrasonic inspection data, and classify the ultrasonic inspection data according to the time series, to obtain the ultrasonic inspection data at each time point on the time series; the analysis module is used to Statistical analysis method is set, statistical analysis is carried out on the ultrasonic inspection data at each time point, and statistical analysis results are obtained.
  • an acquisition module configured to acquire ultrasonic examination data of an inspection object from a target device according to an input instruction
  • the target device is at least one device among other ultrasonic devices, medical information storage devices, and cloud devices
  • a determination module used to determine the time series corresponding to the ultrasonic inspection data, and classify the ultrasonic inspection data according to the time series, to obtain the ultrasonic inspection data at each time point on the time series
  • One of the embodiments of this specification provides a computer device, including a memory and a processor, the memory stores a computer program, and the processor implements the steps of the method for processing ultrasonic examination data when executing the computer program.
  • One of the embodiments of the present specification provides a computer-readable storage medium, the storage medium stores computer instructions, and after the computer reads the computer instructions in the storage medium, the computer executes the method for processing the ultrasonic examination data.
  • the medical information processing software deployed on the cloud platform and multiple display terminals with different operation rights multiple operators (for example, operating doctors, superior experts, etc.) Independently perform various real-time operations on the TCM information processing software on the cloud platform (for example, browse and edit inspection data such as images, perform statistical analysis on inspection data, etc.), which greatly improves the convenience of the consultation process and realizes things such as inspection data
  • Real-time sharing of various medical data, including medical data improves the efficiency of remote consultation, improves the quality of diagnosis and treatment, and ensures the effect of diagnosis and treatment
  • through software instructions on the cloud platform, local ultrasound equipment and other equipment for example, medical information storage device, cloud device, etc.
  • directly obtain the statistical results of the ultrasonic inspection data which overcomes the difficulty in sharing and tracking of ultrasonic inspection data in traditional ultrasonic inspection, and the long time-consuming and low efficiency of manual comparison and analysis It greatly improves the analysis efficiency of inspection data, saves human resources, reduces the burden on doctors, and ensures the inspection effect.
  • Fig. 1 is a schematic diagram of an application scenario of an information processing system according to some embodiments of this specification
  • Fig. 2 is a schematic diagram of an information processing system cloud platform according to some embodiments of this specification.
  • Fig. 3 is an exemplary flowchart of an information processing method according to some embodiments of this specification.
  • Fig. 4 is a schematic structural diagram of an ultrasonic probe according to some embodiments of the present specification.
  • Fig. 5 is a schematic diagram of an information processing system according to some embodiments of this specification.
  • Fig. 6 is a schematic structural diagram of a medical device according to some embodiments of the present specification.
  • Fig. 7 is an exemplary flow chart of a method for processing ultrasonic inspection data according to some embodiments of the present specification
  • Fig. 8 is a schematic diagram of a method for obtaining ultrasound examination data according to some embodiments of the present specification.
  • Fig. 9 is an exemplary flow chart of a method for statistically analyzing ultrasonic examination data according to some embodiments of the present specification.
  • 10A, 10B, 10C and 10D are schematic diagrams of ultrasound image data according to some embodiments of the present specification.
  • Fig. 11 is an exemplary flowchart of a method for statistically analyzing ultrasonic examination data according to other embodiments of the present specification
  • 12A, 12B and 12C are schematic diagrams of measured data according to some embodiments of the present specification.
  • Fig. 13 is a schematic diagram of a method for processing ultrasonic inspection data according to some embodiments of the present specification
  • Fig. 14 is a schematic diagram of statistical analysis of ultrasound image data according to some embodiments of the present specification.
  • Fig. 15 is a schematic diagram of statistical analysis of measurement data according to some embodiments of the present specification.
  • Fig. 16 is a schematic diagram of a system for processing ultrasonic examination data according to some embodiments of the present specification.
  • Fig. 17 is a schematic diagram of a computer device according to some embodiments of the present specification.
  • system means for distinguishing different components, elements, parts, parts or assemblies of different levels.
  • the words may be replaced by other expressions if other words can achieve the same purpose.
  • Fig. 1 is a schematic diagram of an application scenario of an information processing system according to some embodiments of this specification.
  • the information processing system may be any information processing system, for example, a consultation information processing system in the medical field.
  • an information processing system 100 may include an imaging device terminal 110 , a cloud platform 120 , a storage device 130 and a display terminal 140 .
  • the imaging device terminal 110 can be used to scan a target object or a part thereof within its detection area, and generate an image related to the target object or a part thereof.
  • a target subject may include at least one patient.
  • the target object may include a human body, an animal (for example, a laboratory mouse or other animal), a phantom, etc., or any combination thereof.
  • the target object may include a specific part of the human body, eg, head, chest, abdomen, etc., or any combination thereof.
  • target objects may include specific organs, eg, heart, thyroid, esophagus, trachea, stomach, gallbladder, small intestine, colon, bladder, ureters, uterus, fallopian tubes, and the like.
  • organs eg, heart, thyroid, esophagus, trachea, stomach, gallbladder, small intestine, colon, bladder, ureters, uterus, fallopian tubes, and the like.
  • the number of imaging device terminals 110 may be one or more, and may include any medical device capable of imaging or treating designated body parts of a patient, for example, ultrasound equipment, X-ray machines, computed tomography ( Computed Tomography (CT) equipment, Magnetic Resonance Imaging (MRI) equipment, Positron Emission Computed Tomography (PET), Single-Photon Emission Computed Tomography (Single-Photon Emission Computed Tomography) , SPECT) equipment, etc., or any combination thereof.
  • CT Computed Tomography
  • MRI Magnetic Resonance Imaging
  • PET Positron Emission Computed Tomography
  • Single-Photon Emission Computed Tomography Single-Photon Emission Computed Tomography
  • SPECT Single-Photon Emission Computed Tomography
  • the imaging device terminal 110 can exchange data and/or information with other components in the information processing system 100 (eg, the storage device 130 , the display terminal 140 ) through the network of the cloud platform 120 .
  • the imaging device terminal 110 can be directly connected with other components in the system 100 .
  • one or more components in system 100 eg, storage device 130 , display terminal 140 ) may be included within imaging device terminal 110 .
  • the imaging device terminal 110 may include a probe device (for example, a probe device for collecting ultrasound data).
  • the probe can be directly connected to the display terminal 140 , or connected to the display terminal 140 through the cloud platform 120 .
  • the probe can be one or a combination of wired and wireless.
  • the imaging device terminal 110 and/or the display terminal 140 can be used to display the cloud desktop.
  • the cloud desktop is used to display at least one of the following: target object related information, imaging parameter adjustment related information, image related information, and the like.
  • the target object-related information refers to information related to the target object, for example, the nature of the target object, an imaging site, and the like.
  • the information related to the adjustment of the imaging parameters refers to the information related to the adjustment of the imaging parameters, for example, the adjustment of the scanning depth, the adjustment of the power, the adjustment of the frequency and so on.
  • Image-related information refers to information related to the medical image itself and/or processing, for example, image resolution, image flip, image enhancement, edge enhancement, and the like.
  • the cloud desktop divides the functions and operations of the imaging device terminal 110 .
  • the functions and operations can be divided into two parts, one part is related to probe adjustment (for example, scanning module switching, scanning depth adjustment, power adjustment, frequency adjustment, etc.), and the other part is related to the adjustment of uploaded data (for example, freezing/ unfreeze, composite switch, image flip, image enhancement, edge enhancement, etc.).
  • the cloud platform 120 can process data and/or information obtained from other devices or system components by deploying medical information processing software on it, and based on these data, information and/or processing results, execute the At least one of the information processing method and the ultrasonic examination data processing method to complete one or more functions described in some embodiments of this specification.
  • other components in the information processing system 100 eg, the imaging device terminal 110 , the storage device 130 , and the display terminal 140
  • the cloud platform 120 can respond to the instructions of the imaging device terminal 110 and/or the display terminal 140, feed back the execution result of the instruction to the imaging device terminal 110 and/or the display terminal 140, or send an instruction to the imaging device terminal 110 based on the instruction. And/or the display terminal 140 issues a new instruction.
  • the cloud platform 120 can acquire the inspection data (for example, ultrasound examination data, etc.) of the target object from the target device (for example, the imaging device terminal 110, the storage device 130, other cloud devices, etc.) Statistical analysis was performed on these ultrasonic examination data, and the statistical analysis results were obtained.
  • the imaging device terminal is an ultrasound device
  • the medical information processing software is an ultrasound software as an example for illustration, which is only used as an example and is not limited thereto.
  • the cloud platform 120 may include one or more processing devices (eg, single-core processing devices or multi-core multi-core processing devices).
  • a processing device may include a central processing unit (CPU), an application specific integrated circuit (ASIC), an application specific instruction processor (ASIP), a graphics processing unit (GPU), a physical processing unit (PPU), a digital signal processor (DSP) ), field programmable gate array (FPGA), programmable logic circuit (PLD), controller, microcontroller unit, reduced instruction set computer (RISC), microprocessor, etc. or any combination of the above.
  • CPU central processing unit
  • ASIC application specific integrated circuit
  • ASIP application specific instruction processor
  • GPU graphics processing unit
  • PPU physical processing unit
  • DSP digital signal processor
  • FPGA field programmable gate array
  • PLD programmable logic circuit
  • controller microcontroller unit, reduced instruction set computer (RISC), microprocessor, etc. or any combination of the above.
  • Storage device 130 may store data or information generated by other devices.
  • the storage device 130 may store data and/or information collected by the imaging device terminal 110, for example, data collected by a probe, and the like.
  • the storage device 130 may store data and/or information processed by the medical information processing software of the cloud platform 120, for example, processed images and the like.
  • the storage device 130 may include one or more storage components, and each storage component may be an independent device or a part of other devices.
  • the storage device may be local or implemented through the cloud, for example, it may be a part of the cloud platform 120 .
  • the display terminal 140 can interact with the medical information processing software on the cloud platform 120 .
  • the display terminal 140 can control the operation of the imaging device terminal 110 directly or through the cloud platform 120 .
  • the doctor can issue operation instructions to the imaging device terminal 110 through the display terminal 140, so that the imaging device terminal 110 completes specified operations, for example, collecting image data of the target object through the probe.
  • the terminal 140 may send an instruction to the cloud platform 120 to execute the information processing method and/or the ultrasonic examination data processing method described in some embodiments of this specification.
  • the number of display terminals 140 may be one or more, and may be a mobile device 140-1, a tablet computer 140-2, a laptop computer 140-3, a desktop computer 140-4, etc. with a display interface, One or any combination of devices with input and/or output functions.
  • the display terminal 140 may include a cloud desktop display terminal.
  • the instructions from multiple display terminals and imaging device terminals are processed through the cloud platform, and the corresponding instruction processing results are fed back to each display terminal and imaging device terminal, or based on the aforementioned instructions, the imaging device terminal and display
  • the terminal issues new instructions, making full use of the cloud platform's high efficiency, high flexibility, and shareable advantages, enabling multiple users to use medical information processing software at the same time, realizing resource sharing and multi-person real-time operations during the consultation process, and improving It improves the convenience of consultation and meets the needs of multiple expert consultations.
  • Multiple people can operate on one resource (for example, the same ultrasound probe, the same ultrasound image, etc.) at the same time, which greatly improves the efficiency of consultation and reduces the cost of consultation.
  • the difficulty of operation ensures the effect of consultation; through the cloud platform, the sharing and tracking of inspection data among multiple imaging devices is realized, which greatly reduces the difficulty of tracking historical inspection data, greatly improves the efficiency of data tracking, and reduces the
  • the doctor's burden ensures the real-time and comprehensiveness of the examination data, thereby ensuring the diagnosis effect based on the examination data.
  • the above description is provided for illustrative purposes only and is not intended to limit the scope of this specification.
  • Those skilled in the art can make various changes and modifications under the guidance of the contents of this specification.
  • the features, structures, methods, and other features of the exemplary embodiments described in this specification can be combined in various ways to obtain additional and/or alternative exemplary embodiments.
  • the components in the information processing system 100 eg, the imaging device terminal 110, the cloud platform 120, and the display terminal 140
  • these changes and modifications do not depart from the scope of this specification.
  • Fig. 2 is a schematic diagram of a cloud platform of an information processing system according to some embodiments of this specification.
  • the information processing system cloud platform may include at least one of the following modules: network management module 201, front-end module 202, algorithm module 203, preset management module 204, measurement module 205, image operation flow A control module 206 , a target object information management module 207 , a voice and video module 208 , a rights management module 209 , and an application service module 210 .
  • the information processing system cloud platform may include a cloud platform 120 .
  • the information processing system in FIG. 2 may be an ultrasound consultation system, and the medical information processing software in the cloud platform may be ultrasound software.
  • the network management module 201 can be used to manage network communication, that is, manage data transmitted through the network.
  • the network management module 201 can be used to manage the network connection between the imaging device terminal (for example, the imaging device terminal 110) and the display terminal (for example, the display terminal 140) through the cloud platform (for example, the cloud platform 120), Various wired and/or wireless network connections such as network connections between different display terminals in at least one display terminal.
  • the ultrasound probe can be wired or wireless. When it is wireless, the display terminal needs to be bound with the specified ultrasound probe; or, the data transmission between the display terminal and the cloud platform ultrasound software is managed, etc.
  • the front-end module 202 can be used to control terminal operations of the imaging device.
  • the front-end module 202 can calculate the relevant parameters of the probe during ultrasonic scanning, and send them to the probe through the display terminal to realize the scanning control of the probe. For example, scanning module switching, scanning depth adjustment, power adjustment, frequency adjustment, etc.
  • the algorithm module 203 can be used to process the raw data generated by the terminal of the imaging device.
  • the algorithm module 203 can perform beamforming, filter processing, compound calculation, post-processing algorithm (such as edge enhancement, speckle suppression, etc.), interpolation calculation, coordinate transformation, rendering, freeze/thaw, compound switch on the raw data collected by the uploaded ultrasonic probe , image flipping, image enhancement, edge enhancement, etc.
  • preset management module 204 may be used to manage configuration files.
  • the preset management module 204 can set all the parameters according to the current consultation department and different parts of the consultation, and write the parameters into the configuration file for storage, so as to be called directly during use.
  • the measurement module 205 can be used to measure the target object.
  • the measurement module 205 can perform size measurement, formula calculation, labeling, etc. on different parts according to the instruction of editing the ultrasound image triggered by the doctor on the display terminal.
  • the graphical operation flow control module 206 can be used to perform graphical interface-based operations.
  • the image operation flow control module 206 can control a series of menu and button operations corresponding to the ultrasound image interface.
  • the target subject information management module can be used to manage target subject (eg, patient) information and data related to the target subject.
  • the target object information management module can respond to operations such as adding, deleting, modifying, and checking patient information after receiving an instruction to edit patient information triggered by a doctor on the display terminal.
  • the target object information management module may also involve encryption processing of patient information, management of Digital Imaging and Communications in Medicine (DICOM) data, and the like.
  • DICOM Digital Imaging and Communications in Medicine
  • the voice and video module 208 may be used to manage transmitted voice and video data.
  • the voice and video module 208 can compress and decompress the transmitted video data, so as to provide clear voice and video signals for doctors at each display terminal to communicate.
  • By compressing and transmitting voice and video data during the consultation process the bandwidth occupied by voice and video signals can be reduced, so that sufficient bandwidth can be provided for ultrasound data (for example, real-time image data), making the audio and video data during the consultation process clearer ;
  • ultrasound data for example, real-time image data
  • WiFi wireless local area network
  • the efficiency of real-time data transmission can be well guaranteed.
  • the rights management module 209 can be used for rights management.
  • the authority management module 209 can set operation authority for different display terminals.
  • the application service module 210 can be used to provide value-added application services.
  • the application service module 210 can provide and manage various application value-added services developed based on ultrasound software.
  • the cloud platform may further include a data collection module.
  • the data collection module can be used to collect and store historical inspection data of the target object, for example, historical ultrasound inspection data, CT historical inspection data, and the like.
  • the data collection module can acquire the historical inspection data of the target object from the imaging device terminal and/or the storage device. In some embodiments, the data collection module may acquire historical inspection data of the target object from local and/or cloud devices.
  • the cloud platform may further include a statistical analysis module.
  • the statistical analysis module can be used to perform statistics and analysis of similar inspection data based on the historical inspection data of the target object, and obtain analysis results.
  • the statistical analysis module can perform image comparison and difference display on the image data based on the time axis.
  • the statistical analysis module can carry out trend statistics and analysis of the measurement results on the measurement data.
  • the statistical analysis module can perform secondary image reconstruction and result analysis on inspection results under different parameters.
  • the imaging device terminal and/or the display terminal in the information processing system may include a data presentation module.
  • the data display module can be used to display at least one of the historical inspection data and analysis results of the target object acquired by the statistical analysis module of the cloud platform.
  • Fig. 3 is an exemplary flowchart of an information processing method according to some embodiments of this specification.
  • the process 300 includes the following steps.
  • the process 300 may be executed by the cloud platform 120 , and the display terminal in the process 300 may include the display terminal 140 .
  • Step 310 in response to the instructions of multiple display terminals, generate the instruction execution results corresponding to each instruction; the instructions of each display terminal correspond to the operation authority of the medical information processing software deployed in the cloud platform;
  • the types of operation authority include at least two types. For more information about the operating authority of the display terminal to the medical information processing software, refer to the relevant description in FIG. 5 , and details will not be repeated here.
  • Step 320 feeding back the corresponding instruction execution result to each display terminal, so as to instruct each display terminal to display the instruction execution result.
  • Fig. 5 is a schematic diagram of an information processing system according to some embodiments of this specification.
  • an information processing system 500 may include medical information processing software 510 and multiple display terminals 520 deployed on a cloud platform.
  • each display terminal corresponds to an operating doctor, for example, display terminal 1 corresponds to doctor 1 , display terminal 2 corresponds to doctor 2 , display terminal 3 corresponds to doctor 3 , and display terminal 4 corresponds to doctor 4 .
  • the medical information processing software 510 can be deployed on a cloud platform, and when the medical information processing software 510 performs information processing, it can be implemented by calling resources such as storage and computing in the cloud platform. Multiple display terminals 520 can perform information interaction with the medical information processing software 510 deployed on the cloud platform.
  • the display terminal 520 may be a cloud desktop display terminal, that is, the cloud desktop display terminal is used to access the medical information processing application software 510 deployed on the cloud platform.
  • the display terminal 520 can also be a traditional computer device, for example, one or any combination of a personal computer, a notebook computer, a smart phone, a tablet computer, and a portable wearable device.
  • the display interface of the computer device accesses the medical information processing software 510 deployed in the cloud platform.
  • the display terminal 520 may be implemented in other ways, for example, virtual reality (Virtual Reality, VR), augmented reality (Augmented Reality, AR), etc., which is not limited in this specification.
  • the medical information processing software 510 can be determined according to the type of the information processing system.
  • the information processing system will be described as an example of a consultation information processing system.
  • the medical information processing software 510 may be ultrasound information processing software, which may be referred to as ultrasound software for short.
  • the ultrasound images that have been completed in the ultrasound equipment can be uploaded to the ultrasound software on the cloud platform through the display terminal.
  • the ultrasound software of the platform sees the uploaded ultrasound image, based on this, in the consultation system, multiple doctors can communicate based on the same ultrasound image to realize multi-person consultation.
  • each data stream may include uplink data and downlink data
  • the uplink data refers to the data transmitted from the display terminal 520 to the medical information processing software 510
  • the downlink data refers to the data transmitted from the medical information processing software 510 to the display terminal 520.
  • the uplink data may include at least one of raw ultrasound data, voice and video data, button and menu command data, and the like
  • the downlink data may include at least one of ultrasound data, voice and video data, and the like.
  • the original ultrasound data may include the data of the consultation object collected by the ultrasound probe connected to the display terminal.
  • the voice and video data may include voice and video data generated when doctors at the display terminal communicate.
  • the button and menu command data may include data generated by the doctor at the display terminal operating on the operating function buttons in the display terminal.
  • Ultrasound data may include feedback data generated by ultrasound software based on ultrasound data, for example, feedback data such as medical images generated based on original ultrasound data, feedback data edited to ultrasound data generated according to instructions for operating function buttons, and the like.
  • the uplink data and/or downlink data of different display terminals may be different.
  • the upstream data includes the original ultrasonic data collected by the imaging device terminal 530, while the upstream data of the display terminal 2, the display terminal 3 and the display terminal 4 do not include the original ultrasonic data,
  • the imaging device terminal 530 includes an ultrasound probe.
  • the medical information processing software 510 will process the data sent by the display terminal 520 after receiving it.
  • the functional modules in the cloud platform can be divided according to different types of processed information, that is, the medical information processing software 510 can be divided into functional modules. For more information about the functional modules in the cloud platform, refer to the relevant description in FIG. 2 , which will not be repeated here.
  • the instruction execution result refers to the result generated after the software executes the instruction.
  • the instruction execution result may include performing ultrasound scanning, adjusting ultrasound scanning parameters, adjusting ultrasound images, and the like.
  • the medical information processing software 510 can be used to respond to the instructions of each display terminal 520 , generate an instruction execution result corresponding to each instruction, and feed back the corresponding instruction execution result to each display terminal 520 .
  • the trigger instruction of each display terminal 520 corresponds to the operation authority of each display terminal 520 to the medical information processing software 510 .
  • the operation authority of the ultrasound software in the cloud platform can be set correspondingly for each display terminal.
  • different display terminals can be set to have the same or different operating authority for the ultrasound software in the cloud platform.
  • the display terminal 520 has operation authority for the medical information processing software 510, and there are at least two types of operation authority.
  • display terminals may be distinguished as masters and non-masters.
  • the non-master control terminal can include multiple display terminals, and its operation authority is partially restricted. Set the operation authority of all display terminals at the non-master control terminal to be the same.
  • each display terminal at the non-master control terminal can control the ultrasonic Ultrasound image processing-related parameters in the software include but are not limited to performing measurement operations and making judgments based on these measurement results.
  • the operation authority of the master control terminal is different from the operation authority of the non-master control terminal. Its operation authority is full authority. Parameters of the device for acquiring the ultrasound images are adjusted.
  • the division of functions and operations can be achieved by dividing user rights. For example, as shown in FIG. 5 , it is assumed that there are four users, doctors 1, 2, 3, and 4, wherein, doctor 1 has full operation authority, and doctors 2, 3, and 4 have limited authority. Doctors 2, 3, and 4 do not have the authority to control the relevant operations of the probe scan, that is, operations that affect the logic of the front-end module 202 will not have authority, such as: scan module switching, scan depth adjustment, power adjustment, frequency adjustment, etc. Adjustment, etc.; but has the authority to operate on the data after beamforming, such as: freeze/thaw, compound switch, image flip, LGC adjustment, image enhancement, edge enhancement, etc., and the operations included in the measurement module 205 .
  • the operating authority of different display terminals to the medical information processing software can be determined according to the priority of the information to be processed (for example, ultrasound image data, patient data, etc.). For example, the higher the priority, the higher the required operation authority.
  • the priority of the information to be processed may be determined according to the importance, confidentiality level, etc. of the information. For example, the higher the importance and the higher the confidentiality level, the higher the required operation authority.
  • the doctors at each display terminal can trigger different request instructions to the medical information processing software on the cloud platform .
  • the triggering mode of the instruction may include at least one of voice, body sensation, brain activity signal, text, external input device manipulation, and the like.
  • each display terminal 520 can be used to display instruction execution results.
  • the doctor at each display terminal 520 can trigger an operation request instruction in the display terminal according to the operation authority of the medical information processing software 510 corresponding to the respective display terminal and their actual needs.
  • the medical information processing software 510 can respond to the instructions of each display terminal 520, process the request in the instructions of each display terminal 520, obtain the instruction execution result (ie processing information) corresponding to each instruction, and feed back the instruction execution result to the corresponding display terminal 520.
  • Each display terminal 520 can display the execution result of the received instruction.
  • each display terminal 520 may not display the execution result of the received instruction, or only display prompt information, key information, etc., which is not limited in this specification.
  • the medical information processing software for example, ultrasound software
  • various processing is performed on the data uploaded by the display terminal in the cloud, making full use of the advantages of strong cloud computing capabilities, so that during the consultation process Information processing is faster and more accurate.
  • the information processing system may further include an imaging device terminal 530 .
  • an imaging device terminal 530 is connected to display terminal 1 among display terminals 520 .
  • the imaging device terminal 530 can be used to collect medical data of a target object (eg, a consultation object) according to control parameters issued by the medical information processing software 510 .
  • a target object e.g, a consultation object
  • the imaging device terminal 530 may be various medical imaging devices, for example, ultrasound equipment, X-ray equipment, CT equipment and so on.
  • the imaging device terminal 530 may be a probe device for collecting ultrasound data.
  • the probe device may include: a piezoelectric array, a transmitting front end, a power supply, a receiving front end, a system clock and a digital data conversion circuit, and the like.
  • the piezoelectric array is used for electric/acoustic conversion, and is composed of multiple array elements (for example, 128 array elements, 256 array elements, etc.), and each array element is piezoelectric ceramics.
  • the transmit front end is used to control the piezoelectric array.
  • the power supply can include a high voltage DC power supply (High Voltage Direct Current, HVDC) power supply for communication; the receiving front end is used to receive the echo signal; the system clock is part of the Field Programmable Gate Array (Field Programmable Gate Array, FPGA), providing the entire The timing of the data sequence is used as a fixed time period; the digital data conversion circuit is used for mutual conversion between digital and analog signals.
  • HVDC High Voltage Direct Current
  • FPGA Field Programmable Gate Array
  • FIG. 4 the structure of the ultrasonic probe according to some embodiments of this specification, wherein 410 in the ultrasonic probe is a piezoelectric array, 420 is a transmitting front-end module 202, 430 is a receiving front-end module 202, 440 is an FPGA, and 450 is the connection interface.
  • the connection interface 450 is an interface for connecting the ultrasound probe and the display terminal.
  • the connection mode between the ultrasound probe and the display terminal may be wired or wireless, which is not limited in this specification.
  • the ultrasound probe can be connected to the display terminal, and the relevant control parameters of the ultrasound probe can be controlled by the ultrasound software in the cloud platform, wherein the ultrasound probe and the ultrasound software can be connected through the display terminal.
  • the display terminal where the consultation object is located among the multiple display terminals can be used as the master control terminal.
  • the ultrasonic probe connected to the main control terminal can execute the steps of collecting the medical data of the consultation object according to the control parameters issued by the medical information processing software. This step will not be performed.
  • the medical imaging equipment in the system collects the medical data of the consultation object based on the control parameters issued by the medical information processing software in the cloud platform, so that the medical information processing software of the cloud platform can control each display terminal
  • the unified management improves the flexibility of data collection and greatly facilitates the development of remote consultation.
  • each display terminal may include operation function buttons.
  • the operation function button can be used to generate an instruction to operate the consultation information of the imaging device terminal and the target object (ie consultation object) when triggered based on the operation authority of each display terminal to the medical information processing software.
  • the operation function buttons may include virtual keys, physical keys, etc. in a graphical user interface (Graphical User Interface, GUI).
  • GUI graphical User Interface
  • the operation function buttons can be integrated in the display terminal, or can be set outside the display terminal, for example, in an external device detachably connected to the display terminal.
  • the operation function button can generate an instruction to operate the medical data collection device and the consultation information of the consultation object when triggered based on the operation authority of each display terminal to the medical information processing software. Specifically, if doctors in various places need to operate the medical information processing software, they can generate trigger instructions by operating on the operation function buttons in their respective display terminals.
  • the trigger instruction may include an instruction to operate the medical data acquisition equipment and the consultation information of the consultation object, for example, an instruction to request an operation on the ultrasound probe, or an instruction to request an operation on the consultation information of the consultation object; wherein, the consultation object
  • the consultation information includes the ultrasonic data image of the consultation object, the personal information of the consultation object, and the like.
  • each display terminal is set with the corresponding operating authority of the medical information processing software, when the doctor operates in each display terminal to generate the above-mentioned trigger command, it is generated with the corresponding operating authority of the medical information processing software. For example, if the display terminal at the non-master terminal does not have the authority to operate the ultrasound probe, the trigger instructions generated by the display terminal at the non-master terminal will not be instructions requesting to operate the ultrasound probe.
  • the trigger generation of operation instructions is realized by setting operation function buttons, and the generation of instructions through the operation function buttons on each display terminal matches the operation authority of each display terminal, making the generation of instructions more convenient and convenient. Fast and accurate.
  • the operation function buttons can be divided according to the type of information requested to be processed by the medical information processing software.
  • the operation function buttons can be divided into: collection information operation buttons, image effect operation buttons, object information operation buttons, and the like.
  • the acquisition information operation button can be used to generate an instruction for operating the acquisition parameters of the imaging device terminal when triggered, and/or, when triggered, generate an instruction to perform an operation on the original medical data of the target object collected by the imaging device terminal. Operation instructions.
  • the instruction execution result corresponding to the instruction may be the processed acquisition parameters of the imaging device terminal (for example, adjusted imaging parameters) , and/or, processed information (for example, processed ultrasound images) of raw medical data of the target object.
  • the imaging device terminal is a device for collecting raw medical data of a target object.
  • the imaging device terminal sends instructions to the medical information processing software of the cloud platform, which may include two situations: one is when the original medical data of the target object collected by the imaging device terminal is operated, the medical information in the cloud platform
  • the instruction execution result fed back by the information processing software is the processed information of the original medical data of the target object; the other is when the acquisition parameters of the imaging equipment terminal are operated, the instruction execution result is the processed acquisition parameters of the imaging equipment terminal .
  • operating the acquisition parameters of the imaging device terminal means that the acquisition parameters of the ultrasound probe need to be adjusted. That is, by operating the acquisition information operation button on the display terminal, a trigger instruction is sent to the ultrasound software on the cloud platform to request adjustment of the ultrasound probe acquisition parameters.
  • Operating the original medical data of the target object collected by the imaging device terminal means that the ultrasound probe itself needs to be adjusted when the target object collects ultrasound data, for example, turn on the ultrasound probe, turn off the ultrasound probe, and so on. That is, by operating on the information collection operation button on the display terminal, a trigger instruction is sent to the ultrasound software on the cloud platform to request adjustment of the ultrasound probe itself.
  • the collection information operation buttons may include a data collection button and a data analysis button.
  • the data collection button can be used to acquire the inspection data of the target object from the target device when triggered, wherein the target device includes at least one device among imaging device terminal, medical information storage device and cloud device.
  • the data analysis button can be used to determine the time series corresponding to the inspection data when it is triggered, and classify the inspection data according to the time series to obtain the inspection data at each time point in the time series; according to the preset statistical analysis method, each time point Statistical analysis is carried out on the inspection data, and the statistical analysis results are obtained.
  • FIG. 7 For more information on how to obtain the inspection data of the target object and perform statistical analysis on the inspection data, please refer to the relevant description in FIG. 7 , which will not be repeated here.
  • the image effect operation button can be used to generate an instruction to edit the medical image corresponding to the original medical data when triggered.
  • the instruction execution result corresponding to the instruction may be image information after editing the medical image corresponding to the original medical data.
  • the original medical data collected by the terminal of the imaging device can be uploaded to the medical information processing software in the cloud platform, so as to request the medical information processing software in the cloud platform to store the original medical data;
  • the data is processed to generate corresponding medical images.
  • the display terminal after the display terminal receives the corresponding medical image returned by the medical information processing software in the cloud platform, it can further request editing of the medical image through instructions, for example, measurement, labeling, partial zoom-in, rendering, Image transformation processing, etc.
  • the medical information processing software in the cloud platform can return the corresponding edited image information as an instruction execution result, and each display terminal can perform operations such as display after receiving the edited image information.
  • the object information operation button may be used to generate an instruction for editing the consultation information of the target object when triggered.
  • the instruction execution result corresponding to the instruction may be the edited consultation information of the target object.
  • Consultation information refers to basic personal information (for example, age, weight, gender, etc.) of the target object and medical information related to the consultation (for example, medical record information, etc.).
  • the doctor can operate the object information operation button to issue an instruction to edit the consultation information of the target object to the medical information processing software in the cloud platform. For example, if the age of the target object needs to be modified, a trigger command can be issued by manipulating the object information operation button, and the medical information processing software in the cloud platform receives the trigger command and returns the modified information on the age of the consultation object. So that the display terminal displays the modified age of the consultation object.
  • the operation authority of each display terminal to the divided operation buttons of different types may be determined according to the operation authority. For example, assuming that the non-master display terminal does not have the right to edit the consultation information of the target object, then on the non-master display terminal, the object information operation button cannot be manipulated, but the non-master display terminal can read The consultation information of the consultation object.
  • the consultation information of the consultation object can be divided into at least two permissions of reading and writing, and different display terminals can be assigned the permission of reading or writing according to the actual situation, so as to ensure the information security and privacy of the target object.
  • the operation function buttons can be further divided according to the type of information processed. For example, uploading raw medical data corresponds to an operation function button, or measuring medical images corresponds to an operation function button, etc.
  • uploading raw medical data corresponds to an operation function button
  • measuring medical images corresponds to an operation function button
  • various data can be uploaded to the medical information processing software of the cloud platform for storage.
  • the ultrasound software of the cloud platform can encrypt and save the ultrasound image data generated by different display terminal operations and the data of the target object (for example, DICOM data), so as to ensure data security.
  • the data can be stored in the display terminal, and each display terminal can read the stored data according to its own operation authority, which improves the security of the relevant data in the consultation process and also enables data viewing More flexible and convenient.
  • the operation function buttons are divided according to the type of information processed by the medical information processing software, and the authority of the controllable function buttons under different operation authority is also different, so that the generation of instructions on each display terminal is more accurate and accurate. Flexible, while ensuring the security of the operation and the security of patient information.
  • the medical information processing software deployed on the cloud platform and multiple display terminals with different operation permissions and by distinguishing data, setting permissions, and setting probe parameters, etc.
  • multiple operators are realized.
  • operating doctors, superior experts, etc. can independently perform various real-time operations on the cloud platform Chinese medical information processing software through their respective display terminals, and can optimize images in real time without any influence on each other, which greatly improves the consultation process.
  • Fig. 6 is a schematic structural diagram of a medical device according to some embodiments of the present specification.
  • a medical device 600 may include a data collection device 610 , a memory 620 , a processor 630 and a display terminal 640 .
  • the memory 620 stores a computer program; the data collection device 610 is used to collect medical data of the target object; the processor 630 can implement the steps of the information processing method described in some embodiments of this specification by executing the computer program stored in the memory 620, for example , the process 300 in FIG. 3 ; the display terminal 640 is used to display the result information executed by the processor 630 .
  • the imaging device terminal 110 may include a medical device 600 .
  • Fig. 7 is an exemplary flowchart of a method for processing ultrasonic inspection data according to some embodiments of the present specification.
  • the process 700 includes the following steps.
  • the process 700 can be performed by the cloud platform 120 .
  • process 700 may be performed by a local ultrasound device.
  • Step 710 Obtain ultrasonic examination data of the target object from the target device according to the input instruction.
  • step 710 may be performed by the obtaining module 1610 .
  • the target device refers to a device capable of obtaining ultrasonic examination data of a target object (eg, a patient, etc.), for example, at least one of a local ultrasonic device, a medical information storage device, and a cloud device.
  • Ultrasound examination data may include ultrasound image data, measurement data, and various examination environments and parameters.
  • the entered instructions may be used to review the patient's historical ultrasound examination data on the target device.
  • the instruction may include relevant information of the examination object, for example, the patient's medical record number, name and so on.
  • the input instructions may come from multiple display terminals (for example, the display terminal 140), and the corresponding operations of these display terminals may include the steps shown in the process 300, that is: in response to the instructions of the multiple display terminals, Generate the instruction execution results corresponding to each instruction; the instructions of each display terminal correspond to the operation authority of the medical information processing software deployed in the cloud platform; the display terminal includes at least two types of operation authority for the medical information processing software; The corresponding instruction execution result is fed back to instruct each display terminal to display the instruction execution result.
  • the doctor when the doctor needs to view the historical ultrasound examination data of the examination object on the local ultrasound equipment, he can input an instruction in any way on the local ultrasound equipment. After receiving the instruction, the local ultrasound equipment determines that the The target device of the ultrasonic examination data of the inspection object is connected to the target device to obtain the ultrasonic examination data of the inspection object.
  • other online devices may be searched for based on the entered command.
  • other online devices include at least one device among other online ultrasonic devices, medical information storage devices, and cloud devices. If other online devices are found, establish a network connection with other online devices, and after determining the target device in other online devices, disconnect the network connections of other online devices except the target device, and obtain all information from the target device. Ultrasonography data of the target subject described. If no other online device is found, the ultrasonic examination data of the target object is obtained from the local ultrasonic device.
  • the local ultrasonic device may include a communication module, so that the local ultrasonic device can perform data transmission with other online devices according to a predetermined communication protocol, and the above process may be executed by the communication module of the local ultrasonic device.
  • Fig. 8 is a schematic diagram of a method for acquiring ultrasound examination data according to some embodiments of the present specification.
  • ultrasound examination data of a target object eg, a patient
  • a target device eg, other online devices
  • the process 800 may be performed by the obtaining module 1610 .
  • the process 800 can be executed by a local ultrasound device, a cloud device, and the like.
  • the acquisition module 1610 can receive the query instruction input by the user through step 801; through step 802, extract patient information (medical record number, name, etc.); Other devices that have been started, that is, other online devices (one device in other online ultrasonic devices, medical information storage devices, and cloud devices); judge whether other online devices are searched by step 804; if other online devices are found, then pass Step 805 establishes a network transmission connection with other online devices; through step 806, query whether each other online device contains the patient's past examination data; if yes, then through step 807, mark the device to keep the connection; The online device list of the data; skip to step 809 to obtain the patient’s previous examination data according to the equipment in the online device list; if not included, then disconnect the network connection with other online devices through step 810; if no other online device is found , the patient's previous examination data is collected from the local ultrasound equipment through step 811 .
  • patient information medical record number, name, etc.
  • Other devices that have been started that is, other online devices (one
  • these data can be classified according to a preset classification method (for example, time series, scanning parameters, etc.) data for statistical analysis.
  • a preset classification method for example, time series, scanning parameters, etc.
  • Step 720 determine the time series corresponding to the ultrasound examination data, and classify the ultrasound examination data according to the time series, to obtain the ultrasound examination data at each time point in the time series.
  • step 720 may be performed by the determining module 1620 .
  • the ultrasonic inspection data of the inspection object acquired from the target device may include inspection data of the inspection object within a historical time period, wherein these data include ultrasonic inspection data at different time points.
  • the time series corresponding to the acquired ultrasonic examination data may be determined first, and then the ultrasonic examination data may be classified according to different time points according to the time series to obtain the ultrasonic examination data at each time point. For example, data from ultrasound examinations dated January 2020 are classified into category 1, data from ultrasound examinations from February 2020 are classified into category 2, and data from ultrasound examinations on March 2020 are classified into category 3.
  • Step 730 perform statistical analysis on the ultrasonic examination data at each time point according to a preset statistical analysis method, and obtain statistical analysis results.
  • step 730 may be performed by the analysis module 1630 .
  • a preset statistical analysis method may be used to perform statistical analysis on the ultrasonic examination data at each time point. For example, the time-arrangement of the ultrasonic examination data at each time point is performed for comparative analysis, and the trend change analysis of the ultrasonic examination data at each time point is performed.
  • statistical analysis results may be predetermined according to statistical requirements.
  • the statistical analysis results may include comparison results of ultrasound examination data at various time points.
  • the results of the statistical analysis of ultrasound patient history information shown in Figure 14 include 2021/1/1, 2021/2/1, 2021/3/1, 2021/4/1, 2021/4/1, Ultrasound image data and corresponding environmental parameters of 2021/5/1, as well as comparative image data based on the above data.
  • the statistical analysis results may include analysis results of trend analysis of the ultrasonic examination data at each time point.
  • the results of the statistical analysis of the historical information of ultrasound patients shown in Figure 15 include the curve graphs of the change trends of the anterior intima-media wall thickness and the posterior intima-media wall thickness, and the changes in the anterior-posterior diameter of the parasternal left ventricular long-axis standard view.
  • the histogram of the trend, and the results of the trend analysis of these parameters For more information about how to determine the analysis result of the trend change, refer to the relevant description in FIG. 11 , and details will not be repeated here.
  • the statistical analysis results may also include environmental parameters and the like of the ultrasonic examination data at each time point. For example, the environmental parameters in FIG. 10B and FIG. 14 .
  • the display module 1640 may display statistical analysis results in various ways on the display interface, and these display ways may include at least one of graphics, tables, text, and the like.
  • functional controls such as image adjustment and secondary reconstruction can also be set on the interface.
  • the function control of image adjustment can be used to adjust image parameters such as the clarity and size of the displayed image
  • the function control of secondary reconstruction can be used to perform image reconstruction on the selected image according to the preset image parameters to obtain an image that meets the requirements .
  • a time axis may be displayed on the display interface, and the image data or measurement data at each time point are displayed in the order of the time axis.
  • the measurement data of each measurement item when displaying the measurement data of each measurement item, it can be displayed in the form of a statistical table, and the display form can include a bar graph, a column graph, a line graph, an area graph, a pie graph, a scatter graph, a combination Figures, etc., can automatically display matching graphics according to the measurement unit, and users can also automatically switch the type of graphics for display.
  • the display interface may also include inspection environment parameters of each display item (ultrasound inspection data), including inspection probes, presets, scan sites, measurement packages, measurement items, At least one of the parameters of the image, etc., for reference and analysis by doctors.
  • inspection environment parameters of each display item including inspection probes, presets, scan sites, measurement packages, measurement items, At least one of the parameters of the image, etc., for reference and analysis by doctors.
  • the ultrasonic examination data of the examination object can be obtained from the target device (for example, local ultrasound equipment, medical information storage device, cloud device, etc.) by inputting instructions, and the local device (such as , local ultrasound equipment, display terminal, etc.) to track the ultrasound examination data on other equipment, which overcomes the problem of difficult tracking of ultrasound examination data in traditional ultrasound examination due to the inability to share ultrasound examination data, reduces the difficulty of data acquisition, and improves The shareability of the data improves the utilization rate of the data; by obtaining the ultrasonic examination data at each time point according to the time series corresponding to the ultrasonic examination data, and performing statistical analysis on the ultrasonic examination data at each time point according to the preset statistical analysis method, The statistical results are directly obtained, which overcomes the time-consuming and inefficient problems of manual reading of patient ultrasound examination reports and manual comparison and analysis.
  • the target device for example, local ultrasound equipment, medical information storage device, cloud device, etc.
  • the local device such as , local ultrasound equipment, display terminal, etc.
  • Fig. 9 is an exemplary flow chart of a method for statistically analyzing ultrasonic examination data according to some embodiments of the present specification.
  • the process 900 may include the following steps.
  • the process 900 can be used for data statistical analysis when the ultrasound examination data includes ultrasound image data.
  • the process 900 may be performed by the cloud platform 120 .
  • the process 900 may be performed by the analysis module 1630 .
  • Step 910 classify and arrange the ultrasound image data at each time point in chronological order, and obtain the arranged image data.
  • the preset classification method may be pre-determined by the cloud platform, local ultrasound equipment, etc. according to statistical requirements.
  • the preset classification method may include classifying according to one or any combination of time, probe, preset, scanning location, adjustment parameter, measurement data type, etc. when the ultrasound image data is acquired.
  • the ultrasound image data at each time point may be classified according to a preset classification method. For example, classify according to scanning parts, probes, adjustment parameters, etc.
  • each type of data in the classified ultrasound image data may be arranged in chronological order to obtain image data of each type arranged in chronological order. In this way, it is convenient for the doctor to view the ultrasonic image data of the examination object at each time point, and facilitate further comparative analysis.
  • images a to d are ultrasound image data of the same scanning site, and images a to d correspond to each month in the period from January 2021 to May 2021 respectively.
  • the ultrasonic examination data may also include environmental parameters. After the arranged image data is obtained, the environmental parameters corresponding to the arranged image data may also be obtained, and the environmental parameters corresponding to the arranged image data determined as a result of statistical analysis. This can further assist the doctor in accurately analyzing each image data.
  • Environmental parameters refer to parameters that can represent the examination environment of the ultrasonic examination data at that time, for example: probe, preset, scanning position, measurement package, measurement item, image parameters (gain, frequency, dynamic range, etc.).
  • the image data can be in one-to-one correspondence with the environmental parameters, therefore, the corresponding environmental parameters can also be acquired while the image data is acquired.
  • the environmental parameters corresponding to the image data at each time point can also be arranged in chronological order to obtain the arranged environmental parameters, that is, the same as the arranged The environmental parameters corresponding to the final image data.
  • both data can be determined as statistical analysis results. In this way, when the doctor consults the image data, he can also obtain the corresponding environmental parameters at the same time, thereby improving the accuracy of image analysis.
  • Step 920 if the arranged image data includes image data that is consistent with the preset and scanned parts, extract the image data that is consistent with the preset and scanned parts and determine it as comparison image data.
  • the image data with the same preset and scanned parts are comparable, in some embodiments, when the arranged image data (for example, the time-arranged images of the same scanned part shown in FIG. 10A ) Afterwards, the image data of the same preset and scanned part can be further extracted as comparison image data. This can make it more convenient for doctors to compare and analyze the image data.
  • step 930 the arranged image data and the compared image data are determined as statistical analysis results.
  • the arranged image data can be arranged and presented on the display interface in the order of the time axis, as a statistical analysis result (for example, the image data arranged according to the time axis as shown in FIG. 10A ), and displayed to Doctor review, so that doctors can view the image data at various time points.
  • the comparison image data can be displayed to the doctor as a statistical analysis result (for example, the comparison image data shown in FIGS. 10C and 10D ), so that the doctor can compare and analyze them.
  • the environmental parameters corresponding to the image data at each time point can be displayed to the doctor for reference, so that the doctor can review and analyze the corresponding image data in combination with the environmental parameters, and improve the accuracy of the analysis.
  • the image data at each time point corresponds to its own environmental parameters.
  • step 940 may be performed to determine the compared image data after unifying the image parameters as the statistical analysis result.
  • step 950 may be performed to determine the difference image data as the statistical analysis result.
  • Step 940 if the image parameters of the compared image data are inconsistent, reconstruct the compared image data according to the preset image parameters, obtain the compared image data after the unified image parameters, and determine the compared image data after the unified image parameters for statistical analysis results.
  • the compared image data can be reconstructed according to the preset image parameters to obtain the compared image data with unified image parameters, and the compared image data after unified image parameters can be reconstructed.
  • the image data is determined as the result of statistical analysis. For example, image c and image d shown in FIG. 10C are comparison image data after the same image parameters.
  • the preset image parameters can be pre-determined by the cloud platform, local ultrasound equipment, etc. according to the presentation requirements.
  • the preset image parameters may be the same image parameters as those of the image data acquired last time, or may be image parameters recommended by experts.
  • the preset image parameters may include a plurality of specific image parameter types and their values. Unifying the image parameters means obtaining the image parameter types specified in the preset image parameters from the image data, and converting the image data into The image parameter value of the corresponding type is set to be consistent with the preset image parameters.
  • the comparison can be performed according to the preset image parameters.
  • the image data is reconstructed to obtain the comparison image data with unified image parameters.
  • the preset image parameters include gain, frequency and dynamic range, and the values of these parameters correspond to the same
  • the image data does not need to be reconstructed, and other image data can be reconstructed.
  • the preset image parameters are image parameters recommended by experts or set image parameters, all image data in the compared image data can be reconstructed.
  • the compared image data after unified image parameters can be determined as a statistical analysis result, and presented on a display interface for doctors to review, as shown in FIG. 10C .
  • Step 950 determining difference image data between the compared image data, and determining the difference image data as a statistical analysis result.
  • the difference image data refers to comparison data between different image data in the comparison image data, for example, different time points, different image parameters at the same time point, and the like.
  • image data at different time points (for example, image data in March 2021 and April 2021 in FIG. 10C ) can be compared, and the difference image data can include the target object in each image data. Changes, for example, cyst location, size change information, etc.
  • the same time point and different image parameter reconstructions can be compared, and the difference image data can include the same time point, different image parameters Comparison data between reconstructed image data.
  • the image data in January 2022 includes images with a first adjustment gain (brightness) and images with a second adjustment gain, and the first adjustment gain is smaller than the second adjustment gain.
  • the cyst in the image with the first adjusted gain may not be displayed very clearly, and it is difficult for the doctor to view the information of the cyst through the image with the first adjusted gain, but the cyst in the image with the second adjusted gain is relatively clear, and it is easy for the doctor to view the information of the cyst through the image with the second adjusted gain.
  • the second is to adjust the gain of the image to view the information of the cyst.
  • the analysis accuracy is improved by comparing and analyzing images before and after reconstruction with different image parameters.
  • the difference image data between the comparison image data can be further determined, specifically, the comparison image data can be calculated by pixel difference operation, etc.
  • the method obtains the difference image data between the compared image data.
  • the difference image data can be determined as a statistical analysis result, and presented on a display interface for doctors to review.
  • the image before reconstruction in May 2021 shown in FIG. 10D may be a cyst image corresponding to the first adjustment parameter
  • the image after reconstruction in May 2021 may be an image after reconstruction of the cyst image according to the second adjustment parameter.
  • the image data is the difference between images before and after reconstruction in May 2021, that is, the difference image data reflects the difference between images reconstructed according to different adjustment parameters.
  • Fig. 11 is an exemplary flow chart of a method for statistically analyzing ultrasonic examination data according to other embodiments of the present specification.
  • the process 1100 may include the following steps.
  • process 1100 may be used for statistical analysis of data when measurement data is included in ultrasound examination data.
  • the process 1100 can be performed by the cloud platform 120 .
  • the process 1100 can be performed by the analysis module 1630 .
  • Step 1110 classify and arrange the measurement data at each time point in chronological order, and obtain the arranged measurement data.
  • the measurement data at each time point may be further classified according to a preset classification method.
  • the measurement data is classified according to the type of measurement data (for example, the thickness of the blood vessel membrane, etc.), and then the various measurement data are sorted and arranged in chronological order to obtain the arranged measurement data.
  • the type of measurement data for example, the thickness of the blood vessel membrane, etc.
  • Step 1120 calculate the data change trend of each measurement item in the arranged measurement data.
  • the measurement items refer to different types of measurement data in the measurement data, for example, the thickness of the anterior wall of the intima-media, the thickness of the posterior wall of the intima-media, and the like.
  • the corresponding measurement data at each time point can be analyzed to obtain the data change trend of each measurement item.
  • Step 1130 determine the data change trend of each measurement item as a statistical analysis result.
  • the data change trend of each measurement item can be determined as a statistical analysis result, and presented on a display interface for doctors to review.
  • the data change trend of the measurement item can be expressed in various ways, for example, one of curves, histograms, data tables, etc. or any combination thereof.
  • Fig. 12A shows the graphs of the thickness of the anterior wall of the intima and the thickness of the posterior wall of the intima, respectively.
  • FIG. 12B shows a bar graph showing the change trend of the anterior-posterior diameter of the parasternal left ventricle in the long-axis standard view.
  • a trend analysis may be performed on the data change trend of each measurement item through step 1140 .
  • Step 1140 perform trend analysis on the data variation trend of each measurement item, and determine the result of the trend analysis as the statistical analysis result.
  • a trend analysis can be further performed on the data change trend of each measurement item to obtain the result of the trend analysis, for example, the data change trend within a preset time period The direction of the trend, the abrupt point in the data change trend, etc.
  • the results of the trend analysis may be determined as statistical analysis results. For example, the results of the trend analysis of the anterior intima-media wall thickness, the posterior intima-media wall thickness, and the anterior-posterior diameter of the parasternal left ventricular long-axis standard view are shown in FIG. 12C .
  • Fig. 13 is a schematic diagram of a method for processing ultrasonic examination data according to some embodiments of the present specification.
  • the process 1300 may include the following steps.
  • the process 1300 may be performed by the cloud platform 120 .
  • process 1300 may be performed by a local ultrasound device.
  • Step 1301 search for other online devices according to the query instruction, if other online devices are found, execute step 1302, if no other online devices are found, execute step 1303.
  • Step 1302 establishing a network connection with other online devices, and after determining the target device among other online devices, disconnecting the network connection of other online devices except the target device, and obtaining the ultrasonic examination data of the examination object from the target device .
  • Step 1303 acquiring ultrasound examination data of the examination object from the local ultrasound equipment.
  • Step 1304 when the ultrasound examination data includes ultrasound image data, according to the preset classification method, the ultrasound image data at each time point are sorted and arranged in chronological order to obtain the arranged image data.
  • Step 1305 if the arranged image data includes image data that is consistent with the preset and scanned parts, then extract the image data that is consistent with the preset and scanned parts and determine it as comparison image data.
  • step 1306 the arranged image data and the compared image data are determined as statistical analysis results.
  • Step 1307 determine the difference image data between the compared image data, and determine the difference image data as the statistical analysis result.
  • Step 1308 when the ultrasonic examination data includes measurement data, according to the preset classification method, the measurement data at each time point is sorted and arranged in chronological order to obtain the arranged measurement data.
  • step 1309 the data change trend of each measurement item in the arranged measurement data is calculated.
  • Step 1310 determine the data change trend of each measurement item as a statistical analysis result.
  • Step 1311 perform trend analysis on the data variation trend of each measurement item, and determine the result of the trend analysis as the statistical analysis result.
  • Step 1312 display statistical analysis results on the display interface by at least one of graphics, tables, and text.
  • Fig. 16 is a schematic diagram of a system for processing ultrasonic examination data according to some embodiments of the present specification.
  • the ultrasonic examination data processing system 1600 may include an acquisition module 1610 , a determination module 1620 and an analysis module 1630 .
  • the system 1600 can be configured on the cloud platform 120 and/or the display terminal 140 .
  • the system 1600 can be configured on the cloud platform and/or the display terminal 520 where the medical information processing software 510 is located.
  • system 1600 may be configured on computer device 1700 .
  • the obtaining module 1610 may be used to obtain the ultrasound examination data of the target object from the target device according to the input instruction.
  • the target device is at least one device among other ultrasonic devices, medical information storage devices and cloud devices.
  • the obtaining module 1610 may include: a search unit, configured to search for other online devices according to instructions, wherein the other online devices include at least one device among other online ultrasound devices, medical information storage devices, and cloud devices; the second An acquisition unit, configured to establish a network connection with other online devices when other online devices are found, and disconnect the network connections of other online devices except the target device after determining the target device among other online devices , and acquire the ultrasound examination data of the target object from the target equipment; the second acquisition unit is configured to acquire the ultrasound examination data of the target object from the local ultrasound equipment when no other online equipment is found.
  • a search unit configured to search for other online devices according to instructions, wherein the other online devices include at least one device among other online ultrasound devices, medical information storage devices, and cloud devices
  • the second An acquisition unit configured to establish a network connection with other online devices when other online devices are found, and disconnect the network connections of other online devices except the target device after determining the target device among other online devices , and acquire the ultrasound examination data of the target object from the target equipment
  • the determining module 1620 may be used to determine the time series corresponding to the ultrasonic examination data, and classify the ultrasonic examination data according to the time series, to obtain the ultrasonic examination data at each time point in the time series.
  • the analysis module 1630 may be configured to perform statistical analysis on the ultrasonic examination data at each time point according to a preset statistical analysis method, and obtain statistical analysis results.
  • the analysis module 1630 may include: an arranging unit, configured to sort and arrange the ultrasonic image data at each time point in chronological order according to a preset classification method, to obtain the arranged image data; a first determining unit , used to extract and determine the image data that is consistent with the preset and scanned parts as comparison image data when the arranged image data contains image data that is consistent with the preset and scanned parts; the second determination unit uses The arranged image data and the compared image data are determined as statistical analysis results.
  • the analysis module 1630 may also include a third determination unit, configured to reconstruct the image data according to the preset image parameter comparison when the image parameters of the compared image data are inconsistent, and obtain unified image parameters The compared image data, and the compared image data after unifying the image parameters are determined as the result of the statistical analysis.
  • the analysis module 1630 may further include a fourth determining unit, configured to determine difference image data between the comparison image data, and determine the difference image data as a statistical analysis result.
  • the analysis module 1630 may further include: a second arrangement unit, configured to classify and arrange the measurement data at each time point in chronological order according to a preset classification method, to obtain the arranged measurement data; a statistical unit is used to calculate the data change trend of each measurement item in the arranged measurement data; the fifth determination unit is used to determine the data change trend of each measurement item as a statistical analysis result.
  • a second arrangement unit configured to classify and arrange the measurement data at each time point in chronological order according to a preset classification method, to obtain the arranged measurement data
  • a statistical unit is used to calculate the data change trend of each measurement item in the arranged measurement data
  • the fifth determination unit is used to determine the data change trend of each measurement item as a statistical analysis result.
  • the analysis module 1630 may further include an analysis unit, configured to perform trend analysis on the data change trend of each measurement item, and determine the result of the trend analysis as a statistical analysis result.
  • system 1600 may further include a display module 1640, configured to display statistical analysis results in at least one of graphs, tables, and text on a display interface.
  • each module in the above-mentioned ultrasonographic data processing system 1600 may be fully or partially realized by software, hardware or a combination thereof.
  • the above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, and can also be stored in the memory of the computer device in the form of software, so that the processor can invoke and execute the corresponding operations of the above-mentioned modules.
  • Fig. 17 is a schematic diagram of a computer device according to some embodiments of the present specification.
  • a computer device 1700 is provided, where the device 1700 may be a terminal.
  • device 1700 may include a processor, memory, communication interface, display screen, and input device connected through a system bus.
  • the processor of the device 1700 is used to provide calculation and control capabilities.
  • the memory of device 1700 includes non-volatile storage media and internal memory. Wherein, the non-volatile storage medium stores an operating system and computer programs, and the internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium.
  • the communication interface of the device 1700 is used for wired or wireless communication with an external terminal.
  • the display screen of the device 1700 can be any display device capable of displaying information such as text, images, and videos.
  • the input device of the device 1700 can be a touch layer covered on the display screen, or a button, a trackball or
  • the touchpad can also be an external keyboard, touchpad or mouse.
  • the possible beneficial effects of the embodiments of this specification include but are not limited to: (1) Through the medical information processing software deployed on the cloud platform and multiple display terminals with different operating permissions, it is possible for multiple operators (for example, operating doctors to , superior experts, etc.) independently perform various real-time operations on the cloud platform TCM information processing software through their respective display terminals (for example, browse and edit inspection data such as images, perform statistical analysis on inspection data, etc.), which greatly improves The convenience of the consultation process realizes the real-time sharing of various medical data such as inspection data, improves the efficiency of remote consultation, improves the quality of diagnosis and treatment, and ensures the effect of diagnosis and treatment; (2) through the software instructions on the cloud platform It can track and obtain the ultrasound examination data of the examination object on the local ultrasound equipment and other devices (for example, medical information storage equipment, cloud equipment, etc.), and directly obtain the statistical results of the ultrasound examination data, which overcomes the difficulty of ultrasound examination data in traditional ultrasound examination.
  • numbers describing the quantity of components and attributes are used. It should be understood that such numbers used in the description of the embodiments use the modifiers "about”, “approximately” or “substantially” in some examples. grooming. Unless otherwise stated, “about”, “approximately” or “substantially” indicates that the stated figure allows for a variation of ⁇ 20%. Accordingly, in some embodiments, the numerical parameters used in the specification and claims are approximations that can vary depending upon the desired characteristics of a particular embodiment. In some embodiments, numerical parameters should take into account the specified significant digits and adopt the general digit reservation method. Although the numerical ranges and parameters used in some embodiments of this specification to confirm the breadth of the range are approximations, in specific embodiments, such numerical values are set as precisely as practicable.

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Abstract

本说明书实施例提供一种信息处理系统，该系统包括云平台、至少一个成像设备终端、至少一个显示终端；其中，成像设备终端和显示终端与云平台网络连接，以与云平台进行数据通信；云平台用于响应于成像设备终端和/或显示终端的指令，将指令执行结果反馈给成像设备终端和/或显示终端，或基于指令向成像设备终端和/或显示终端下发新的指令。

Description

信息处理系统和方法
相关申请的交叉引用
本申请要求2021年09月07日提交的名称为“信息处理系统、方法、装置和医疗设备”的中国专利申请202111045107.4和2021年09月18日提交的名称为“超声数据的追踪方法、计算机设备和存储介质”的中国专利申请202111102027.8的优先权，上述申请的全部内容以引用方式被完全包含在此。
技术领域
本说明书涉及医疗设备技术领域，特别涉及信息处理系统和方法。
背景技术
当前的医疗环境中，通过联机进行的远程会诊体现了巨大的优势，应用越来越普遍。远程会诊能够帮助基层医院解决病理医院稀缺、疑难会诊、术中病理快速冰冻的等问题。以超声会诊系统为例，远程超声会诊系统可将操作医生和上级专家进行实时通讯连接，专家可以根据超声设备上的实时图像和视频，实时指导操作医生对超声探头的操作。然而，相关技术中的远程超声会诊系统，多位专家不能同时自主地进行实时操作，导致会诊过程存在极大地不便。而且，由于超声设备大多为单机设备，与外界数据交换较少，或者途径单一，导致患者的历史超声检查数据难以追踪，使得诊断时数据缺失或不足，从而甚至可能导致诊断结果不佳。当前，医生对患者的历史超声检查数据进行追踪的方法大多都是通过与患者口头沟通实现，或者人工的从相应医疗文档管理系统中查阅患者之前的超声检查报告，在多份报告中人工提取关键信息进行人工比对，并根据比对结果获取患者的历史超声检查结果。这些方法存在效率低下、结果可靠性不足的问题。
因此，希望提供信息处理系统和方法以提高会诊便利性、增强追踪历史检查数据的效率。
发明内容
本说明书实施例之一提供一种信息处理系统。所述信息处理系统包括：云平台、至少一个成像设备终端、至少一个显示终端；所述成像设备终端和所述显示终端与所述云平台网络连接，以与所述云平台进行数据通信；所述云平台用于响应于所述成像设备终端和/或所述显示终端的指令，将指令执行结果反馈给所述成像设备终端和/或所述显示终端，或基于所述指令向所述成像设备终端和/或所述显示终端下发新的指令。
在一些实施例中，所述云平台可以包括以下至少其中之一：网络管理模块、前端模块、算法模块、预设管理模块、测量模块、图像操作流控制模块、患者信息管理模块、语音视频模块、权限管理模块、应用服务模块。
在一些实施例中，所述网络管理模块可以用于管理网络通信；所述前端模块可以用于控制所述成像设备终端操作；所述算法模块可以用于处理所述成像设备终端产生的原始数据；所述预设管理模块可以用于管理配置文件；所述测量模块可以用于对目标对象进行测量；所述图像操作流控制模块可以用于进行基于图像界面的操作；所述目标对象信息管理模块可以用于管理目标对象信息以及与目标对象相关的数据；所述语音视频模块可以用于管理传输的语音视频数据；所述权限管理模块可以用于权限管理；所述应用服务模块可以用于提供增值应用服务。
在一些实施例中，所述网络管理模块可以用于管理所述成像设备终端与所述显示终端通过所述云平台进行的网络连接、所述至少一个显示终端中不同显示终端间的网络连接。
在一些实施例中，所述云平台可以进一步包括数据收集模块，所述数据收集模块用于收集和存储目标对象历史检查数据。
在一些实施例中，所述云平台可以进一步包括统计分析模块，所述统计分析模块用于基于所述目标对象历史检查数据进行同类检查数据的统计和分析，获取分析结果。
在一些实施例中，所述统计分析模块可以进一步用于：基于时间轴，对影像数据进行图像对比和差异展示；对测量数据进行测量结果的趋势统计和分析；对于不同参数下的检查结果进行二次图像重建和结果分析。
在一些实施例中，所述成像设备终端和/或显示终端可以包含数据展示模块，所述数据展示模块用于显示所述目标对象历史检查数据和所述分析结果中的至少一个。
在一些实施例中，所述成像设备终端可以用于成像。所述成像设备终端和/或显示终端可以用于显示云桌面，所述云桌面用于显示以下至少之一：目标对象相关信息、成像参数调节相关信息、图像相关信 息。所述云桌面可以将所述成像设备终端的功能及操作进行划分，其中，所述功能及操作分为两部分，一部分与探头调节相关，另一部分与上传数据的调节相关。
本说明书实施例之一提供另一种信息处理系统，所述信息处理系统包括：部署在云平台上的医学信息处理软件、多个显示终端；所述显示终端对所述医学信息处理软件的操作权限的类型包括至少两种；所述医学信息处理软件，用于响应于各所述显示终端的指令，生成各所述指令对应的指令执行结果，并向各所述显示终端反馈所述对应的指令执行结果，各所述显示终端的指令与各所述显示终端对所述医学信息处理软件的操作权限对应；各所述显示终端，用于展示所述指令执行结果。
在一些实施例中，所述信息处理系统还可以包括成像设备终端，所述多个显示终端中至少一个显示终端连接有所述成像设备终端；所述成像设备终端，用于根据所述医学信息处理软件下发的控制参数，采集目标对象的医学数据。
在一些实施例中，每个所述显示终端均可以包括操作功能按钮；其中，所述操作功能按钮，用于基于各所述显示终端对所述医学信息处理软件的操作权限，被触发时产生对所述成像设备终端和所述目标对象的会诊信息进行操作的指令。
在一些实施例中，所述操作功能按钮可以包括采集信息操作按钮、图像效果操作按钮和对象信息操作按钮；所述采集信息操作按钮，用于被触发时产生对所述成像设备终端的采集参数进行操作的指令，和/或，被触发时产生对所述成像设备终端采集的所述目标对象的原始医学数据进行操作的指令；所述图像效果操作按钮，用于被触发时产生对所述原始医学数据对应的医学图像进行编辑的指令；所述对象信息操作按钮，用于被触发时产生对所述目标对象的会诊信息进行编辑操作的指令。
在一些实施例中，若所述指令为通过触发所述显示终端中的采集信息操作按钮生成的，则所述指令对应的指令执行结果可以为处理后的成像设备终端的采集参数，和/或，目标对象的原始医学数据被处理后的信息。
在一些实施例中，采集信息操作按钮可以包括数据收集按钮和数据分析按钮；所述数据收集按钮，用于被触发时从目标设备上获取所述目标对象的检查数据，所述目标设备包括所述成像设备终端、医疗信息存储设备和云端设备中的至少一个设备；所述数据分析按钮，用于被触发时确定所述检查数据对应的时间序列，并根据所述时间序列对所述检查数据进行分类，得到所述时间序列上各时间点的检查数据；根据预设的统计分析方式，对所述各时间点的检查数据进行统计分析，得到统计分析结果。
在一些实施例中，若所述指令为通过触发所述显示终端中的图像效果操作按钮生成的，则所述指令对应的指令执行结果可以为对所述原始医学数据对应的医学图像进行编辑后的图像信息。
在一些实施例中，若所述指令为通过触发所述显示终端中的对象信息操作按钮生成的，则所述指令对应的指令执行结果可以为对所述目标对象的会诊信息进行编辑后的会诊信息。
本说明书实施例之一提供一种信息处理方法。所述信息处理方法包括：响应于多个显示终端的指令，生成各所述指令对应的指令执行结果；各所述显示终端的指令与部署在云平台中的医学信息处理软件的操作权限对应；所述显示终端对所述医学信息处理软件的操作权限类型包括至少两种；向各所述显示终端反馈所述对应的指令执行结果，以指示各所述显示终端展示所述指令执行结果。
本说明书实施例之一提供一种医疗设备，包括显示终端、数据采集装置、存储器和处理器，所述存储器存储有计算机程序，所述数据采集装置用于采集目标对象的检查数据，其特征在于，所述处理器执行所述计算机程序时实现所述信息处理方法的步骤，所述显示终端用于显示所述处理器执行的结果信息。
本说明书实施例之一提供一种超声检查数据的处理方法。所述超声检查数据的处理方法包括：根据输入的指令从目标设备上获取目标对象的超声检查数据，所述目标设备包括其他超声设备、医疗信息存储设备和云端设备中的至少一个设备；确定所述超声检查数据对应的时间序列，并根据所述时间序列对所述超声检查数据进行分类，得到所述时间序列上各时间点的超声检查数据；根据预设的统计分析方式，对所述各时间点的超声检查数据进行统计分析，得到统计分析结果。
在一些实施例中，所述超声检查数据的处理方法中所述输入的指令来自于多个显示终端，所述多个显示终端的操作包括：响应于所述多个显示终端的指令，生成各所述指令对应的指令执行结果；各所述显示终端的指令与部署在云平台中的医学信息处理软件的操作权限对应；所述显示终端对所述医学信息处理软件的操作权限类型包括至少两种；向各所述显示终端反馈所述对应的指令执行结果，以指示各所述显示终端展示所述指令执行结果。
在一些实施例中，可以根据所述指令搜索其他在线设备，所述其他在线设备为在线的其他超声设备、医疗信息存储设备和云端设备中的至少一个设备；若搜索到所述其他在线设备，则建立与所述其他在线设备的网络连接，并在确定所述其他在线设备中的目标设备后，断开除所述目标设备以外的其他在线设备的网络连接，以及从所述目标设备上获取所述目标对象的超声检查数据；若未搜索到所述其他在线设备，则从本地超声设备上获取所述目标对象的超声检查数据。
在一些实施例中，所述超声检查数据可以包括超声影像数据。可以按照预设分类方式，对所述各时间点的超声影像数据进行时间前后顺序的分类排列，得到排列后的影像数据；若所述排列后的影像数据中包含预设和扫描部位一致的影像数据，则将所述预设和扫描部位一致的影像数据进行提取并确定为比对影像数据；将所述排列后的影像数据和所述比对影像数据确定为所述统计分析结果。在一些实施例中，若所述比对影像数据的图像参数不一致，则可以按照预设的图像参数对所述比对影像数据进行重建，得到统一图像参数后的比对影像数据，并将所述统一图像参数后的比对影像数据确定为所述统计分析结果。在一些实施例中，可以确定所述比对影像数据之间的差异影像数据，并将所述差异影像数据确定为所述统计分析结果。
在一些实施例中，所述超声检查数据可以包括测量数据。可以按照预设分类方式，对所述各时间点的测量数据进行时间前后顺序的分类排列，得到排列后的测量数据；统计出所述排列后的测量数据中每一个测量项的数据变化趋势；将所述每一个测量项的数据变化趋势确定为所述统计分析结果。在一些实施例中，可以对所述每一个测量项的数据变化趋势进行趋势分析，并将趋势分析的结果确定为所述统计分析结果。
在一些实施例中，可以在显示界面上通过图形、表格、文字中的至少一种方式展示所述统计分析结果。
本说明书实施例之一提供一种计算机设备，包括存储器和处理器，所述存储器存储有计算机程序，其特征在于，所述处理器执行所述计算机程序时实现所述超声检查数据的处理方法的步骤。
本说明书实施例之一提供一种超声检查数据的处理系统。所述系统包括：获取模块，用于根据输入的指令从目标设备上获取检查对象的超声检查数据；所述目标设备为其他超声设备、医疗信息存储设备和云端设备中的至少一个设备；确定模块，用于确定所述超声检查数据对应的时间序列，并根据所述时间序列对所述超声检查数据进行分类，得到所述时间序列上各时间点的超声检查数据；分析模块，用于根据预设的统计分析方式，对所述各时间点的超声检查数据进行统计分析，得到统计分析结果。
本说明书实施例之一提供一种计算机设备，包括存储器和处理器，所述存储器存储有计算机程序，所述处理器执行所述计算机程序时实现所述超声检查数据的处理方法的步骤。
本说明书实施例之一提供一种计算机可读存储介质，所述存储介质存储计算机指令，当计算机读取存储介质中的计算机指令后，计算机执行所述超声检查数据的处理方法。
本说明书一些实施例中，通过部署在云平台上的医学信息处理软件以及不同操作权限的多个显示终端，实现了多位操作者(例如，操作医生、上级专家等)通过各自的显示终端同时自主地对云平台中医学信息处理软件进行各种实时操作(例如，浏览和编辑图像等检查数据、对检查数据进行统计分析等)，极大地提高了会诊过程的便利性，实现了诸如检查数据在内的各种医疗数据的实时共享，提升了远程会诊的效率，提高了诊疗质量，保证了诊疗效果；通过云平台上的软件指令即可追踪获取本地超声设备和其他设备(例如，医疗信息存储设备、云端设备等)上的检查对象的超声检查数据，并直接得到超声检查数据的统计结果，克服了传统超声检查中超声检查数据难以共享追踪、人工比对分析耗时时间长且效率低下的问题，极大地提升了检查数据的分析效率，节省了人力资源，降低了医生负担，保证了检查效果。
附图说明
本说明书将以示例性实施例的方式进一步说明，这些示例性实施例将通过附图进行详细描述。这些实施例并非限制性的，在这些实施例中，相同的编号表示相同的结构，其中：
图1是根据本说明书一些实施例所示的信息处理系统的应用场景示意图；
图2是根据本说明书一些实施例所示的信息处理系统云平台示意图；
图3是根据本说明书一些实施例所示的信息处理方法的示例性流程图；
图4是根据本说明书一些实施例所示的超声探头结构示意图；
图5是根据本说明书一些实施例所示的信息处理系统示意图；
图6是根据本说明书一些实施例所示的医疗设备的结构示意图；
图7是根据本说明书一些实施例所示的超声检查数据的处理方法的示例性流程图；
图8是根据本说明书一些实施例所示的获取超声检查数据的方法的示意图；
图9是根据本说明书一些实施例所示的对超声检查数据进行统计分析的方法的示例性流程图；
图10A、10B、10C和10D是根据本说明书一些实施例所示的超声影像数据的示意图；
图11是根据本说明书另一些实施例所示的对超声检查数据进行统计分析的方法的示例性流程图；
图12A、12B和12C是根据本说明书一些实施例所示的测量数据的示意图；
图13是根据本说明书一些实施例所示的超声检查数据的处理方法的示意图；
图14是根据本说明书一些实施例所示的超声影像数据的统计分析示意图；
图15是根据本说明书一些实施例所示的测量数据的统计分析示意图；
图16是根据本说明书一些实施例所示的超声检查数据的处理系统的示意图；
图17是根据本说明书一些实施例所示的计算机设备的示意图。
具体实施方式
为了更清楚地说明本说明书实施例的技术方案，下面将对实施例描述中所需要使用的附图作简单的介绍。显而易见地，下面描述中的附图仅仅是本说明书的一些示例或实施例，对于本领域的普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图将本说明书应用于其它类似情景。除非从语言环境中显而易见或另做说明，图中相同标号代表相同结构或操作。
应当理解，本文使用的“系统”、“装置”、“单元”和/或“模块”是用于区分不同级别的不同组件、元件、部件、部分或装配的一种方法。然而，如果其他词语可实现相同的目的，则可通过其他表达来替换所述词语。
如本说明书和权利要求书中所示，除非上下文明确提示例外情形，“一”、“一个”、“一种”和/或“该”等词并非特指单数，也可包括复数。一般说来，术语“包括”与“包含”仅提示包括已明确标识的步骤和元素，而这些步骤和元素不构成一个排它性的罗列，方法或者设备也可能包含其它的步骤或元素。
本说明书中使用了流程图用来说明根据本说明书的实施例的系统所执行的操作。应当理解的是，前面或后面操作不一定按照顺序来精确地执行。相反，可以按照倒序或同时处理各个步骤。同时，也可以将其他操作添加到这些过程中，或从这些过程移除某一步或数步操作。
图1是根据本说明书一些实施例所示的信息处理系统的应用场景示意图。在一些实施例中，信息处理系统可以是进行任何信息处理的系统，例如，医疗领域的会诊信息处理系统等。
如图1所示，在一些实施例中，信息处理系统100可以包括成像设备终端110、云平台120、存储设备130和显示终端140。
成像设备终端110可以用于扫查位于其检测区域内的目标对象或其一部分，并生成与该目标对象或其一部分有关的图像。在一些实施例中，目标对象可以包括至少一个病人。在一些实施例中，目标对象可以包括人体、动物(例如，试验用小白鼠等其他动物)、模体等，或其任意组合。在一些实施例中，目标对象可以包括人体的特定部分，例如，头部、胸部、腹部等，或其任意组合。在一些实施例中，目标对象可以包括特定器官，例如，心脏、甲状腺、食道、气管、胃、胆囊、小肠、结肠、膀胱、输尿管、子宫、输卵管等。在一些实施例中，成像设备终端110的数量可以是一个或多个，可以包括任何能够对患者的指定身体部位进行成像或治疗的医学设备，例如，超声设备、X光机、计算机断层扫描(Computed Tomography，CT)设备、磁共振成像(Magnetic Resonance Imaging，MRI)设备、正电子发射型计算机断层显像设备(Positron Emission Computed Tomography，PET)、单光子发射计算机断层成像(Single-Photon Emission Computed Tomography，SPECT)设备等，或其任意组合。成像设备终端110可以接收医生通过云平台120发送的指令等，并根据指令进行相关操作，例如，对目标对象照射成像等。在一些实施例中，成像设备终端110可以通过云平台120的网络与信息处理系统100中的其它组件(例如，存储设备130、显示终端140)进行数据和/或信息的交换。在一些实施例中，成像设备终端110可以直接与系统100中的其它组件连接。在一些实施例中，系统100中的一个或多个组件(例如，存储设备130、显示终端140)可以包括在成像设备终端110内。
在一些实施例中，成像设备终端110可以包括探头装置(例如，进行超声数据采集的探头装置)。在一些实施例中，探头可以与显示终端140直接连接，或通过云平台120与显示终端140连接。在一些实施例中，探头可以是有线和无线中的其中一种或其组合。
在一些实施例中，成像设备终端110和/或显示终端140可以用于显示云桌面。其中，云桌面用于显示以下至少之一：目标对象相关信息、成像参数调节相关信息、图像相关信息等。目标对象相关信息是指与目标对象相关的信息，例如，目标对象的性质、成像部位等。成像参数调节相关信息是指与调节成像参数相关的信息，例如，扫查深度调节、功率调节、频率调节等。图像相关信息是指与医学图像本身和/或处理相关的信息，例如，图像分辨率、图像翻转、图像增强、边缘增强等。
在一些实施例中，云桌面将成像设备终端110的功能及操作进行了划分。其中，功能及操作可以分为两部分，一部分与探头调节相关(例如，扫查模块切换、扫查深度调节、功率调节、频率调节等)，另一部分与上传数据的调节相关(例如，冻结/解冻、复合开关、图像翻转、图像增强、边缘增强等)。
云平台120可以通过部署其上的医学信息处理软件，处理从其它设备或系统组成部分中获得的数据和/或信息，基于这些数据、信息和/或处理结果执行本说明书一些实施例中所示的信息处理方法和超声检查数据的处理方法中的至少一种，以完成一个或多个本说明书一些实施例中描述的功能。在一些实施例中，信息处理系统100中的其他组件(例如，成像设备终端110、存储设备130、显示终端140)可以与云 平台120通过网络连接，以与云平台120进行数据通信。在一些实施例中，云平台120可以响应成像设备终端110和/或显示终端140的指令，将指令执行结果反馈给成像设备终端110和/或显示终端140，或基于该指令向成像设备终端110和/或显示终端140下发新的指令。又例如，云平台120可以根据显示终端140的指令从目标设备(例如，成像设备终端110、存储设备130、其他云端设备等)上获取目标对象的检查数据(例如，超声检查数据等)，并对这些超声检查数据进行统计分析，得到统计分析结果。
本说明书以下将以成像设备终端为超声设备，且医学信息处理软件为超声软件为例进行说明，仅用于示例，并不对此进行限制。
在一些实施例中，云平台120可以包含一个或多个处理设备(例如，单核处理设备或多核多芯处理设备)。仅作为示例，处理设备可以包括中央处理器(CPU)、专用集成电路(ASIC)、专用指令处理器(ASIP)、图形处理器(GPU)、物理处理器(PPU)、数字信号处理器(DSP)、现场可编程门阵列(FPGA)、可编辑逻辑电路(PLD)、控制器、微控制器单元、精简指令集电脑(RISC)、微处理器等或以上任意组合。
存储设备130可以存储其他设备产生的数据或信息。在一些实施例中，存储设备130可以存储成像设备终端110采集的数据和/或信息，例如，探头采集的数据等。在一些实施例中，存储设备130可以存储云平台120的医学信息处理软件处理后的数据和/或信息，例如，处理后的图像等。存储设备130可以包括一个或多个存储组件，每个存储组件可以是一个独立的设备，也可以是其它设备的一部分。存储设备可以是本地的，也可以通过云实现，例如，可以是云平台120的一部分。
显示终端140可以与云平台120上的医学信息处理软件进行交互。在一些实施例中，显示终端140可以直接或通过云平台120对成像设备终端110的操作进行控制。在一些实施例中，医生可以通过显示终端140对成像设备终端110下达操作指令，以使成像设备终端110完成指定操作，例如，通过探头采集目标对象的图像数据等。在一些实施例中，终端140可以向云平台120发送指令，使其执行本说明书一些实施例所述的信息处理方法和/或超声检查数据的处理方法。在一些实施例中，显示终端140的数量可以是一个或多个，可以是移动设备140-1、平板计算机140-2、膝上型计算机140-3、台式计算机140-4等具有显示界面、输入和/或输出功能的设备中的一种或其任意组合。在一些实施例中，显示终端140可以包括云桌面显示终端。
本说明书一些实施例中，通过云平台处理来自于多个显示终端和成像设备终端的指令，并向各显示终端和成像设备终端反馈对应的指令处理结果，或基于前述指令向成像设备终端和显示终端下发新的指令，充分利用了云平台高效率、灵活度高、可共享的优势实现了多个用户同时使用医学信息处理软件，实现了会诊过程中的资源共享和多人实时操作，提高了会诊的便利性，满足了多个专家会诊的需求，可以多人同时对一个资源(例如，同一个超声探头、同一张超声图像等)进行操作，极大地提高了会诊的效率，降低了会诊操作的难度，从而保证了会诊的效果；通过云平台实现了多台成像设备间检查数据的共享和追踪，极大地降低了跟踪历史检查数据的难度，大幅度提高了数据的追踪效率，减轻了医生负担，确保了检查数据的实时性和全面性，从而保证了基于检查数据的诊断效果。
应该注意的是，上述描述仅出于说明性目的而提供，并不旨在限制本说明书的范围。对于本领域普通技术人员而言，在本说明书内容的指导下，可做出多种变化和修改。可以以各种方式组合本说明书描述的示例性实施例的特征、结构、方法和其他特征，以获得另外的和/或替代的示例性实施例。例如，信息处理系统100中的组件(例如，成像设备终端110、云平台120、显示终端140)可以各自包括单独的存储模块，也可以共享存储模块(例如，存储设备130)。然而，这些变化与修改不会背离本说明书的范围。
图2是根据本说明书一些实施例所示的信息处理系统云平台示意图。
如图2所示，在一些实施例中，信息处理系统云平台可以包括以下至少一个模块：网络管理模块201、前端模块202、算法模块203、预设管理模块204、测量模块205、图像操作流控制模块206、目标对象信息管理模块207、语音视频模块208、权限管理模块209、应用服务模块210。在一些实施例中，信息处理系统云平台可以包括云平台120。在一些实施例中，图2中的信息处理系统可以为超声会诊系统，云平台中的医学信息处理软件可以为超声软件。
在一些实施例中，网络管理模块201可以用于管理网络通信，即管理通过网络传输的数据。在一些实施例中，网络管理模块201可以用于管理成像设备终端(例如，成像设备终端110)与显示终端(例如，显示终端140)通过云平台(例如，云平台120)进行的网络连接、至少一个显示终端中不同显示终端间的网络连接等各种有线和/或无线网络连接。例如，超声探头可以是有线也可以是无线，当是无线时，需要显示终端和指定超声探头进行绑定；或者，对显示终端和云平台超声软件之间的数据传输进行管理等等。
在一些实施例中，前端模块202可以用于控制成像设备终端操作。前端模块202可以计算好超声扫描时探头的相关参数，通过显示终端下发到探头中，实现对探头的扫查控制。例如，扫查模块切换、扫查深度调节、功率调节、频率调节等。
在一些实施例中，算法模块203可以用于处理成像设备终端产生的原始数据。算法模块203可以对上传的超声探头采集的原始数据进行波束合成、滤波处理、复合计算、后处理算法(如边缘增强、斑点抑制等)、插值计算、坐标转换、渲染、冻结/解冻、复合开关、图像翻转、图像增强、边缘增强等。
在一些实施例中，预设管理模块204可以用于管理配置文件。预设管理模块204可以根据当前会诊的科室和会诊的不同的部位设置好所有参数，并将该参数写到配置文件中保存，以便使用时直接调用。
在一些实施例中，测量模块205可以用于对目标对象进行测量。测量模块205可以根据医生在显示终端触发的对超声图像进行编辑的指令，对不同部位进行尺寸测量、公式计算、标注等等。
在一些实施例中，图像操作流控制模块206可以用于进行基于图像界面的操作。图像操作流控制模块206可以控制超声图像界面对应的一系列菜单和按钮操作。
在一些实施例中，目标对象信息管理模块可以用于管理目标对象(例如，病人)信息以及与目标对象相关的数据。目标对象信息管理模块可以在接收到医生在显示终端触发的对病人信息进行编辑的指令后对应对病人信息增、删、改、查等的操作。在一些实施例中，目标对象信息管理模块还可以涉及对病人信息的加密处理、医学数字成像和通信(Digital Imaging and Communications in Medicine，DICOM)数据进行管理等。
在一些实施例中，语音视频模块208可以用于管理传输的语音视频数据。语音视频模块208可以对传输的视频数据进行压缩和解压处理，为各显示终端处的医生进行交流时提供清晰的语音视频信号。通过对会诊过程中的语音和视频数据进行压缩传输，可以减少语音视频信号占用带宽，从而有足够的带宽提供给超声数据(例如，实时的图像数据)，使得会诊过程中的音视频数据更加清晰；通过进一步配合低延时通信技术(例如，5G、6G、WiFi等)进行数据传输，可以很好地保证数据实时传输的效率。
在一些实施例中，权限管理模块209可以用于权限管理。权限管理模块209可以对不同显示终端设置操作权限。
在一些实施例中，应用服务模块210可以用于提供增值应用服务。应用服务模块210可以提供和管理基于超声软件上开发的各种应用增值服务。
在一些实施例中，云平台可以进一步包括数据收集模块。数据收集模块可以用于收集和存储目标对象历史检查数据，例如，超声历史检查数据、CT历史检查数据等。数据收集模块可以从成像设备终端和/或存储设备等获取目标对象的历史检查数据。在一些实施例中，数据收集模块可以从本地和/或云端设备等获取目标对象的历史检查数据。
在一些实施例中，云平台可以进一步包括统计分析模块。统计分析模块可以用于基于目标对象历史检查数据进行同类检查数据的统计和分析，获取分析结果。
在一些实施例中，统计分析模块可以基于时间轴，对影像数据进行图像对比和差异展示。统计分析模块可以对测量数据进行测量结果的趋势统计和分析。统计分析模块可以对于不同参数下的检查结果进行二次图像重建和结果分析。关于如何获取目标对象历史检查数据，对目标对象历史检查数据进行统计分析的更多内容，可以参见图7的相关描述，在此不再赘述。
在一些实施例中，信息处理系统中的成像设备终端和/或显示终端可以包含数据展示模块。数据展示模块可以用于显示云平台的统计分析模块获取的目标对象历史检查数据和分析结果等中的至少一个。
图3是根据本说明书一些实施例所示的信息处理方法的示例性流程图。
如图3所示，流程300包括下述步骤。在一些实施例中，流程300可以由云平台120执行，流程300中的显示终端可以包括显示终端140。
步骤310，响应于多个显示终端的指令，生成各指令对应的指令执行结果；各显示终端的指令与部署在云平台中的医学信息处理软件的操作权限对应；显示终端对医学信息处理软件的操作权限类型包括至少两种。关于显示终端对医学信息处理软件的操作权限的更多内容，可以参见图5的相关描述，在此不再赘述。
步骤320，向各显示终端反馈对应的指令执行结果，以指示各显示终端展示指令执行结果。
图5是根据本说明书一些实施例所示的信息处理系统示意图。
如图5所示，在一些实施例中，信息处理系统500可以包括部署在云平台上的医学信息处理软件510和多个显示终端520。其中，显示终端520中，每个显示终端均与一个操作的医生对应，例如，显示终端1对应医生1、显示终端2对应医生2、显示终端3对应医生3、显示终端4对应医生4。
在一些实施例中，医学信息处理软件510可以部署在云平台上，在医学信息处理软件510进行信息处理时，可以通过调用云平台中的存储、计算等资源实现。多个显示终端520可以与部署在云平台上的医学信息处理软件510进行信息交互。
在一些实施例中，显示终端520可以是云桌面显示终端，即利用云桌面显示终端访问部署在云平台中的医学信息处理处理应用软件510。在一些实施例中，显示终端520还可以是传统的计算机设备，例 如，个人计算机、笔记本电脑、智能手机、平板电脑和便携式可穿戴设备等中的其中一种或其任意组合，可以通过传统的计算机设备的显示界面访问部署在云平台中的医学信息处理软件510。在一些实施例中，显示终端520可以通过其他方式实现，例如，虚拟现实(Virtual Reality，VR)、增强现实(Augmented Reality，AR)等，本说明书对此不做限制。
在一些实施例中，医学信息处理软件510可以根据信息处理系统的类型确定。以下将以信息处理系统是会诊信息处理系统为例进行说明，此时医学信息处理软件510可以是超声信息处理软件，可简称为超声软件。在该场景中，可以通过显示终端将超声设备中已经完成的超声图像上传到云平台中的超声软件中，在进行会诊时，每个显示终端处的医生均可在通过各自的显示终端登录云平台的超声软件看到该上传的超声图像，基于此，可实现在会诊系统中，多个医生基于同一超声图像进行沟通，实现多人会诊。
如图5所示包括数据流1、数据流2、数据流3、数据流4，分别对应显示终端520中的显示终端1、显示终端2、显示终端3、显示终端4与医学信息处理软件510的数据交换。其中，各个数据流中可以包括上行数据和下行数据，上行数据是指由显示终端520传输到医学信息处理软件510的数据，下行数据是指由医学信息处理软件510传输到显示终端520的数据。
在一些实施例中，上行数据可以包括原始超声数据、语音视频数据、按钮和菜单命令数据等中的至少一种，下行数据可以包括超声数据、语音视频数据等中的至少一种。原始超声数据可以包括通过显示终端上连接的超声探头采集的会诊对象的数据。语音视频数据可以包括显示终端处的医生进行交流时产生的语音视频数据。按钮和菜单命令数据可以包括显示终端处的医生在显示终端中的操作功能按钮上的操作产生的数据。超声数据可以包括超声软件基于超声数据生成的反馈数据，例如，根据原始超声数据生成的医学图像等反馈数据、根据操作功能按钮的指令生成的对超声数据编辑后的反馈数据等。
在一些实施例中，不同的显示终端的上行数据和/或下行数据可以不同。例如，由于显示终端1与成像设备终端530连接，上行数据中包括成像设备终端530采集的原始超声数据，而显示终端2、显示终端3和显示终端4的上行数据中则不包括原始超声数据，其中，成像设备终端530包括超声探头。
在一些实施例中，医学信息处理软件510在接收到显示终端520发送的数据后，会对其进行处理。在一些实施例中，可以根据处理信息类型的不同，对云平台中功能模块进行划分，即对医学信息处理软件510进行功能模块划分。关于云平台中的功能模块的更多内容，可以参见图2的相关描述，在此不再赘述。
指令执行结果是指软件执行指令后产生的结果。例如，软件为超声软件，则指令执行结果可以包括执行超声扫描、调节超声扫描参数、对超声图像进行调整等。
在一些实施例中，医学信息处理软件510可以用于响应于各显示终端520的指令，生成各指令对应的指令执行结果，并向各显示终端520反馈对应的指令执行结果。在一些实施例中，各显示终端520的触发指令与各显示终端520对医学信息处理软件510的操作权限对应。
在会诊过程中，不同医生对同一超声图像的关注点和疑问点不同，因此，可针对每个显示终端对应设置对云平台中的超声软件的操作权限。可选地，可设置不同显示终端对云平台中的超声软件的操作权限相同或者不同。在一些实施例中，显示终端520对医学信息处理软件510具有操作权限，操作权限的类型包括至少两种。仅作为示例，可以将显示终端区分为主控端和非主控端。非主控端可以包括多个显示终端，其操作权限为部分受限的权限，设置非主控端的所有显示终端的操作权限相同，例如，非主控端的各显示终端可以对云平台中的超声软件中的超声图像处理相关参数，包括但不限于是进行测量操作，依据这些测量结果进行判断等。同时，设置主控端的操作权限与非主控端的操作权限不同，其操作权限为完全的权限，例如，主控端除具有非主控端的所有权限外，还可以通过云平台中的超声软件控制对采集超声图像的设备的参数进行调节。
在一些实施例中，可以通过对用户的权限划分来实现对功能及操作的划分。例如，如图5所示，假设有四个用户，即医生1、2、3、4，其中，医生1具有全部操作权限，而医生2、3、4具有有限的权限。医生2、3、4不具有控制探头扫查的相关操作的权限，即对前端模块202逻辑有影响的操作都不会有权限，例如：扫查模块切换、扫查深度调节、功率调节、频率调节等；但具有对波束合成之后数据有影响的操作的权限，例如：冻结/解冻、复合开关、图像翻转、LGC调节、图像增强、边缘增强等，以及测量模块205包括的操作。
在一些实施例中，可以根据待处理信息(例如，超声图像数据、病人数据等)的优先级，来确定不同显示终端对医学信息处理软件的操作权限。例如，优先级越高，需要的操作权限越高。在一些实施例中，待处理信息的优先级可以根据信息的重要性、保密等级等来确定。例如，重要性越高、保密等级越高，需要的操作权限越高。
在一些实施例中，会诊过程中，根据每个显示终端对应在云平台上的医学信息处理软件的操作权限，各显示终端处的医生可以向云平台上的医学信息处理软件触发不同请求的指令。在一些实施例中，指令的触发方式可以包括语音、体感、脑部活动信号、文本、外接输入设备操控等的其中至少一种。
在一些实施例中，各显示终端520可以用于展示指令执行结果。
在一些实施例中，各显示终端520处的医生可根据各自的显示终端对应的医学信息处理软件510的操作权限，以及各自的实际需求，在显示终端中触发操作请求的指令。医学信息处理软件510可以响应于各显示终端520的指令，对每个显示终端520的指令中的请求进行处理，得到每个指令对应的指令执行结果(即处理信息)，并将指令执行结果反馈给对应的显示终端520。各显示终端520可以对接收到的指令执行结果进行展示。在一些实施例中，各显示终端520可以对接收到的指令执行结果不进行展示，或者仅展示提示信息、关键信息等，本说明书对此不作限定。
本说明书一些实施例中，通过云平台中的医学信息处理软件(例如，超声软件)，在云端对显示终端上传的数据进行各种处理，充分利用了云计算能力强的优势，使得会诊过程中的信息处理更加快速、准确。
在一些实施例中，信息处理系统还可以包括成像设备终端530。其中，多个显示终端520中至少一个显示终端连接有成像设备终端。例如，如图5中所示，成像设备终端530与显示终端520中的显示终端1连接。
在一些实施例中，成像设备终端530可以用于根据医学信息处理软件510下发的控制参数，采集目标对象(例如，会诊对象)的医学数据。
在一些实施例中，成像设备终端530可以是各种医学成像设备，例如，超声设备、X光设备、CT设备等。
仅作为示例，若医学信息处理软件510为超声软件，则成像设备终端530可以是进行超声数据采集的探头装置。在一些实施例中，该探头装置可以包括：压电阵列、发射前端、电源、接收前端、系统时钟和数字数据转换电路等。其中，压电阵列用于进行电/声转换，由多个阵元组成(例如，128个阵元、256个阵元等)，每个阵元都是压电陶瓷。发射前端用于控制压电阵列。电源可以包括通信用高压直流电源(High Voltage Direct Current，HVDC)电源；接收前端用来接收回波信号；系统时钟为现场可编程逻辑门阵列(Field Programmable Gate Array，FPGA)中的一部分，提供整个数据序列的时序作为固定的时间周期；数字数据转换电路用于进行数字与模拟信号的相互转换。如图4所示为根据本说明书一些实施例所示的超声探头结构，其中，该超声探头中410是压电阵列，420是发射前端模块202，430是接收前端模块202，440是FPGA，450是连接接口。其中，连接接口450是用于连接超声探头和显示终端的接口。在一些实施例中，超声探头与显示终端的连接方式可以是有线的也可以是无线的，本说明书对此不作限定。
在一些实施例中，超声探头可以与显示终端连接，可以由云平台中的超声软件控制超声探头的相关的控制参数，其中，超声探头与超声软件之间可以通过显示终端连接。
仅作为示例，虽然多个显示终端均可连接超声探头，实际应用中，可根据会诊情况，将多个显示终端中会诊对象所在地的显示终端作为主控端。主控端上连接的超声探头可以根据医学信息处理软件下发的控制参数，执行采集会诊对象医学数据的步骤，而非主控端的显示终端上连接的超声探头由于与会诊对象不在同一处，则不会执行该步骤。
本说明书一些实施例中，通过系统中的医学成像设备基于云平台中的医学信息处理软件下发的控制参数，采集会诊对象的医学数据，从而实现了云平台的医学信息处理软件对各显示终端的统一管理，提高了数据采集的灵活性，极大地便利了远程会诊的开展。
在一些实施例中，每个显示终端均可以包括操作功能按钮。操作功能按钮可以用于基于各显示终端对医学信息处理软件的操作权限，被触发时产生对成像设备终端和目标对象(即会诊对象)的会诊信息进行操作的指令。
在一些实施例中，操作功能按钮可以包括图形用户界面(Graphical User Interface，GUI)中的虚拟按键、物理按键等。在一些实施例中，操作功能按钮可以是集成在显示终端中，也可以设置在显示终端外部，例如，与显示终端可拆卸连接的外接设备中。
在一些实施例中，操作功能按钮可以基于各显示终端对医学信息处理软件的操作权限，被触发时产生对医学数据采集设备和会诊对象的会诊信息进行操作的指令。具体来说，各地的医生若需要对医学信息处理软件进行操作时，可通过在各自的显示终端中的操作功能按钮上进行操作以产生触发指令。该触发指令可以包括对医学数据采集设备和会诊对象的会诊信息进行操作的指令，例如，请求对超声探头进行操作的指令，或者，请求对会诊对象的会诊信息进行操作的指令；其中，会诊对象的会诊信息包括会诊对象的超声数据图像、会诊对象的个人信息等。
因对每个显示终端均设置了对应的医学信息处理软件的操作权限，医生在各显示终端中操作产生上述触发指令时，是以对应的医学信息处理软件的操作权限产生的。例如，非主控端的显示终端不具备对超声探头进行操作的权限，则非主控端的显示终端产生的触发指令中不会是请求对超声探头进行操作的指令。
本说明书一些实施例中，通过设置操作功能按钮实现触发产生操作的指令，且通过各显示终端上的操作功能按钮产生指令是与各显示终端的操作权限相匹配的，使得指令的产生更加简便、快速和准确。
为了进一步地准确、简便地通过各显示终端产生触发指令，在一些实施例中，可以根据请求医学信息处理软件处理的信息类型对操作功能按钮进行划分。在一些实施例中，可以将操作功能按钮划分为：采集信息操作按钮、图像效果操作按钮和对象信息操作按钮等。
在一些实施例中，采集信息操作按钮可以用于被触发时产生对成像设备终端的采集参数进行操作的指令，和/或，被触发时产生对成像设备终端采集的目标对象的原始医学数据进行操作的指令。
在一些实施例中，若指令为通过触发显示终端中的采集信息操作按钮生成的，则该指令对应的指令执行结果可以为处理后的成像设备终端的采集参数(例如，调整后的成像参数)，和/或，目标对象的原始医学数据被处理后的信息(例如，处理后的超声图像)。
成像设备终端是用于采集目标对象的原始医学数据的设备。在一些实施例中，成像设备终端向云平台的医学信息处理软件发送指令可以包括两种情况：一种是在对成像设备终端采集的目标对象的原始医学数据进行操作时，云平台中的医学信息处理软件反馈的指令执行结果为目标对象的原始医学数据被处理后的信息；另一种是在对成像设备终端的采集参数进行操作时，指令执行结果为处理后的成像设备终端的采集参数。
以超声探头为例，对成像设备终端的采集参数进行操作，表示需要对超声探头的采集参数进行调节。即通过在显示终端上的采集信息操作按钮上操作，向云平台的超声软件发出请求调整超声探头采集参数的触发指令。
对成像设备终端采集的目标对象的原始医学数据进行操作，表示需要对目标对象采集超声数据时的超声探头本身进行调整，例如，开启超声探头、关闭超声探头等。即通过在显示终端上的采集信息操作按钮上操作，向云平台的超声软件发出请求调整超声探头本身的触发指令。
在一些实施例中，采集信息操作按钮可以包括数据收集按钮和数据分析按钮。数据收集按钮可以用于被触发时从目标设备上获取目标对象的检查数据，其中，目标设备包括成像设备终端、医疗信息存储设备和云端设备中的至少一个设备。数据分析按钮可以用于被触发时确定检查数据对应的时间序列，并根据时间序列对检查数据进行分类，得到时间序列上各时间点的检查数据；根据预设的统计分析方式，对各时间点的检查数据进行统计分析，得到统计分析结果。关于如何获取目标对象的检查数据以及对检查数据进行统计分析的更多内容，可以参见图7的相关描述，在此不再赘述。
在一些实施例中，图像效果操作按钮可以用于被触发时产生对原始医学数据对应的医学图像进行编辑的指令。
在一些实施例中，若指令为通过触发显示终端中的图像效果操作按钮生成的，则该指令对应的指令执行结果可以为对原始医学数据对应的医学图像进行编辑后的图像信息。
在一些实施例中，成像设备终端采集到原始医学数据，可以上传到云平台中的医学信息处理软件中，以请求云平台中的医学信息处理软件对原始医学数据进行存储；或者，对原始医学数据进行处理生成对应的医学图像。
在一些实施例中，在显示终端接收到云平台中的医学信息处理软件返回的对应的医学图像后，可以进一步通过指令等请求对医学图像进行编辑，例如，测量、标注、局部放大、渲染、图像变换处理等。在一些实施例中，云平台中的医学信息处理软件可以返回对应的编辑后图像信息作为指令执行结果，各显示终端接收到编辑后图像信息后可以进行展示等操作。
在一些实施例中，对象信息操作按钮可以用于被触发时产生对目标对象的会诊信息进行编辑操作的指令。
在一些实施例中，若指令为通过触发显示终端中的对象信息操作按钮生成的，则该指令对应的指令执行结果可以为对目标对象的会诊信息进行编辑后的会诊信息。
会诊信息是指目标对象的个人基本信息(例如，年龄、体重、性别等)以及与此次会诊相关的医疗信息(例如，病历信息等)等。在一些实施例中，可以通过医生等在对象信息操作按钮上进行操作，实现向云平台中的医学信息处理软件发出对目标对象的会诊信息进行编辑操作的指令。例如，若需要修改目标对象的年龄，则可通过对对象信息操作按钮进行操控发出触发指令，云平台中的医学信息处理软件接收到该触发指令，会返回对会诊对象年龄进行修改后的信息，以使得显示终端显示修改后的会诊对象的年龄。
在一些实施例中，可以根据操作权限来确定各显示终端对划分的不同种类操作按钮的操控权限。例如，假设非主控端的显示终端没有对目标对象的会诊信息进行编辑的权限，那么在非主控端的显示终端上，对象信息操作按钮是无法操控的，但非主控端的显示终端可以读取会诊对象的会诊信息。在一些实施例中，可以将会诊对象的会诊信息区分为读和写至少两种权限，可以对不同的显示终端根据实际情况分配读或写的权限，从而可以保证目标对象的信息安全以及隐私。
在一些实施例中，可以针对处理的信息类型对操作功能按钮进行进一步划分。例如，上传原始医学数据对应一个操作功能按钮，或者，测量医学图像对应一个操作功能按钮等。本说明书实施例对此不作限定。
在一些实施例中，可以将各种数据(例如，目标对象的原始医学数据、会诊信息数据、编辑后的数据等)上传到云平台的医学信息处理软件中保存。例如，云平台的超声软件可以对不同显示终端操作产生的超声图像数据和目标对象的数据(例如，DICOM数据)都要进行加密保存，这样可以保证数据的安全性。在一些实施例中，可以将至少部分数据保存在显示终端中，各显示终端可以根据各自的操作权限来读取已存储的数据，这样提高了会诊过程的相关数据的安全性，也使得数据查看更加灵活方便。
本说明书一些实施例中，通过根据医学信息处理软件处理的信息类型对操作功能按钮进行划分，并且不同操作权限下可操控的功能按钮的权限也不同，从而使得在各显示终端产生指令更加准确和灵活，同时保障了操作的安全性，保证了病人信息的安全性。
本说明书一些实施例中，通过部署在云平台上的医学信息处理软件以及不同操作权限的多个显示终端，并通过对数据进行区分、权限设置、探头参数等区分设置，实现了多位操作者(例如，操作医生、上级专家等)通过各自的显示终端同时独立地对云平台中医学信息处理软件进行各种实时操作，能够实时优化图像，互相不会有任何影响，极大地提高了会诊过程的便利性，实现了诸如检查数据在内的各种医疗数据的实时共享，提升了远程会诊的效率，提高了诊疗质量，保证了诊疗效果；只需要一个成像设备和一个显示终端(例如，办公电脑)就可完成医学诊断或线上会诊，充分利用了云平台高效率的计算性能，提高并保障了图像传输质量，从而获得了更可靠的图像。
图6是根据本说明书一些实施例所示的医疗设备的结构示意图。
如图6所示，在一些实施例中，医疗设备600可以包括数据采集装置610、存储器620、处理器630和显示终端640。其中，存储器620存储有计算机程序；数据采集装置610用于采集目标对象的医疗数据；处理器630可以通过执行存储器620存储的计算机程序实现本说明书一些实施例所述的信息处理方法的步骤，例如，图3中的流程300；显示终端640用于显示处理器630执行的结果信息。在一些实施例中，成像设备终端110可以包括医疗设备600。
图7是根据本说明书一些实施例所示的超声检查数据的处理方法的示例性流程图。
如图7所示，流程700包括以下步骤。在一些实施例中，流程700可以由云平台120执行。在一些实施例中，流程700可以由本地超声设备执行。
步骤710，根据输入的指令从目标设备上获取目标对象的超声检查数据。在一些实施例中，步骤710可以由获取模块1610执行。
目标设备是指能够获取目标对象(例如，患者等)的超声检查数据的设备，例如，本地超声设备、医疗信息存储设备和云端设备中的至少一个。超声检查数据可以包括超声影像数据、测量数据、检查的各种环境及参数。输入的指令可以用于查阅目标设备上的患者的历史超声检查数据。其中，指令可以包括检查对象的相关信息，例如，患者的病历号、姓名等。
在一些实施例中，输入的指令可以来自于多个显示终端(例如，显示终端140)，这些显示终端对应的操作可以包括流程300所示的步骤，即：响应于多个显示终端的指令，生成各指令对应的指令执行结果；各显示终端的指令与部署在云平台中的医学信息处理软件的操作权限对应；显示终端对医学信息处理软件的操作权限类型包括至少两种；向个显示终端反馈对应的指令执行结果，以指示各显示终端展示指令执行结果。
在一些实施例中，当医生需要在本地超声设备上查看检查对象的历史超声检查数据时，可以在本地超声设备上通过任何方式输入指令，本地超声设备在接收到该指令后，确定存储有该检查对象的超声检查数据的目标设备，再连接目标设备获取该检查对象的超声检查数据。
在一些实施例中，可以根据输入的指令搜索其他在线设备。其中，其他在线设备包括在线的其他超声设备、医疗信息存储设备和云端设备等中的至少一个设备。若搜索到其他在线设备，则建立与其他在线设备的网络连接，并在确定其他在线设备中的目标设备后，断开除目标设备以外的其他在线设备的网络连接，以及从目标设备上获取所述目标对象的超声检查数据。若未搜索到其他在线设备，则从本地超声设备上获取目标对象的超声检查数据。在一些实施例中，本地超声设备上可以包含通信模块，使本地超声设备可以按照预定的通信协议与其他在线设备进行数据传输，上述流程可以由本地超声设备的通信模块执行。
图8是根据本说明书一些实施例所示的获取超声检查数据的方法的示意图。在一些实施例中，可以通过图8所示的流程800从目标设备(例如，其他在线设备)获取目标对象(例如，患者)的超声检查数据。在一些实施例中，流程800可以由获取模块1610执行。在一些实施例中，流程800可以由本地超声设备、云端设备等执行。
如图8所示，在一些实施例中，获取模块1610可以通过步骤801，接收到用户输入的查阅指令； 通过步骤802，从中提取患者信息(病历号、姓名等)；通过步骤803搜索局域网内已启动的其他设备，即其他在线设备(在线的其他超声设备、医疗信息存储设备和云端设备中的一个设备)；通过步骤804判断是否搜索到其他在线设备；若搜索到其他在线设备，则通过步骤805建立与其他在线设备网络传输连接；通过步骤806查询各其他在线设备中是否包含该患者的既往检查数据；若包含，则通过步骤807标记该设备，以保持连接；通过步骤808生成包含检查数据的在线设备列表；跳通过步骤809根据在线设备列表中的设备获取该患者的既往检查数据；若不包含，则通过步骤810断开与其他在线设备的网络连接；若未搜索到其他在线设备，则通过步骤811从本地超声设备上采集该患者的既往检查数据。
在一些实施例中，在获取到目标对象的超声检查数据后，可以通过步骤720根据预设的分类方式(例如，时间序列、扫描参数等)对这些数据进行分类，并通过步骤730对分类后的数据进行统计分析。
步骤720，确定超声检查数据对应的时间序列，并根据时间序列对超声检查数据进行分类，得到时间序列上各时间点的超声检查数据。在一些实施例中，步骤720可以由确定模块1620执行。
在一些实施例中，从目标设备上获取到检查对象的超声检查数据可以包括检查对象在历史时间段内的检查数据，其中，这些数据包含不同时间点的超声检查数据。在一些实施例中，可以先确定获取的超声检查数据对应的时间序列，再根据时间序列将超声检查数据按照不同的时间点进行分类，得到各时间点的超声检查数据。例如，日期为2020年1月的超声检查数据归为第一类，2020年2月的超声检查数据归为第二类，2020年3月的超声检查数据归为第三类。
步骤730，根据预设的统计分析方式，对各时间点的超声检查数据进行统计分析，得到统计分析结果。在一些实施例中，步骤730可以由分析模块1630执行。
在一些实施例中，在将超声检查数据按照时间点分类后，可以采用预设的统计分析方法，对各时间点的超声检查数据进行统计分析。例如，对各时间点的超声检查数据进行时间排列后进行比对分析、对各时间点的超声检查数据进行趋势变化分析等。
在一些实施例中，统计分析结果可以根据统计需求预先确定。在一些实施例中，统计分析结果可以包括各时间点上的超声检查数据的比对结果。例如，图14所示的超声患者历史信息统计分析的结果中，包括了同一患者按照时间顺序排列的2021/1/1、2021/2/1、2021/3/1、2021/4/1、2021/5/1的超声影像数据和对应环境参数，以及基于上述数据的比对影像数据。关于如何确定各时间点上的超声检查数据的比对结果的更多内容，可以参见图9的相关描述，在此不再赘述。在一些实施例中，统计分析结果可以包括对各时间点的超声检查数据进行趋势变化分析后的分析结果。例如，图15所示的超声患者历史信息统计分析的结果中，包括了内中膜前壁厚度和内中膜后壁厚度的变化趋势的曲线图、胸骨旁左室长轴标准切面前后径变化趋势的柱状图，以及这几个参数的趋势分析的结果。关于如何确定趋势变化的分析结果的更多内容，可以参见图11的相关描述，在此不再赘述。在一些实施例中，统计分析结果还可以包括各时间点的超声检查数据的环境参数等。例如，图10B和图14中的环境参数。
在一些实施例中，在步骤730之后，显示模块1640可以在显示界面上通过各种方式展示统计分析结果，这些展示方式可以包括图形、表格、文字等中的至少一种方式。
在一些实施例中，在显示界面上展示超声检查数据中的影像数据时，该界面上还可以设置图像调节、二次重建等功能控件。其中，图像调节的功能控件可以用于调整展示的图像的清晰度、大小等图像参数，二次重建等功能控件可以用于对于选中的图像按照预设图像参数进行影像重建，得到符合要求的图像。
如图14所示，在一些实施例中，显示界面上可以显示时间轴，并将各时间点的影像数据或测量数据按照时间轴排列的顺序展示。在一些实施例中，在展示各测量项的测量数据时，可以采用统计表格的形式展示，展示形式可以包括条形图、柱形图、折线图、面积图、饼图、散点图、组合图等，可以自动根据测量单位进行相匹配的图形展示，用户也可以自动切换图形种类进行展示。在一些实施例中，如图14所示，显示界面上还可以包括每一个展示项(超声检查数据)的检查环境参数，包括检查的探头、预设、扫查部位、测量包、测量项、图像的参数等中的至少一项，以供医生参考分析。关于如何展示统计分析结果的更多内容，可以参见图9和图11的相关描述，在此不再赘述。
本说明书一些实施例中，通过输入的指令从目标设备(例如，本地超声设备、医疗信息存储设备和云端设备等)上获取检查对象的超声检查数据，只需通过指令即可在本地设备(例如，本地超声设备、显示终端等)上追踪到其他设备上的超声检查数据，克服了传统超声检查中因超声检查数据无法共享导致超声检查数据难以追踪的问题，降低了数据的获取难度，提高了数据的可共享性，提升了数据的利用率；通过根据超声检查数据对应的时间序列得到各时间点的超声检查数据，按照预设的统计分析方式对各时间点的超声检查数据进行统计分析，直接得到统计结果，克服了通过人工阅读患者超声检查报告，并人工进行比对分析导致耗时时间长，且效率低下的问题。
图9是根据本说明书一些实施例所示的对超声检查数据进行统计分析的方法的示例性流程图。
如图9所示，流程900可以包括以下步骤。在一些实施例中，流程900可以用于超声检查数据包 括超声影像数据时的数据统计分析。在一些实施例中，流程900可以由云平台120执行。在一些实施例中，流程900可以由分析模块1630执行。
步骤910，按照预设分类方式，对各时间点的超声影像数据进行时间前后顺序的分类排列，得到排列后的影像数据。
在一些实施例中，预设分类方式可以由云平台、本地超声设备等根据统计需求预先确定。例如，预设分类方式可以包括按照获取超声影像数据时的时间、探头、预设、扫描部位、调节参数、测量数据类型等其中的一种或其任意组合进行分类。
在一些实施例中，当得到各时间点的超声影像数据后，可以将各时间点的超声影像数据按照预设分类方式进行分类。例如，按照扫描部位、探头、调节参数等进行分类。在一些实施例中，可以将分类后的超声影像数据，其中的每一类数据进行按照时间先后顺序的排列，得到按照时间先后顺序排列的各类别的影像数据。这样能够方便医生查看各个时间点上该检查对象的超声影像数据，并便于进一步的对比分析。例如，如图10A所示，其中的影像a到影像d为扫描部位相同的超声影像数据，影像a到影像d分别对应时间点2021年1月到2021年5月阶段中的每个月。
在一些实施例中，超声检查数据中还可以包括环境参数，当得到排列后的影像数据后，还可以获取与排列后的影像数据对应的环境参数，将与排列后的影像数据对应的环境参数确定为统计分析结果。这样能够进一步地辅助医生准确分析各影像数据。
环境参数是指可以表示超声检查数据当时的检查环境的参数，例如：探头、预设、扫描部位、测量包、测量项、图像的参数(增益、频率、动态范围等)。在一些实施例中，影像数据可以和环境参数一一对应，因此，在获取影像数据的同时，也可以获取到对应的环境参数。在一些实施例中，在得到排列后的影像数据的过程之中或者之后，可以将各时间点的影像数据对应的环境参数也按照时间先后顺序进行排列，得到排列后的环境参数，即与排列后的影像数据对应的环境参数。
在一些实施例中，当获取到排列后的影像数据和对应的排列后的环境参数后，可以将这两种数据均确定为统计分析结果。这样能够使医生在查阅影像数据时，也可以同时获取到对应的环境参数，从而提高分析影像的准确性。
步骤920，若排列后的影像数据中包含预设和扫描部位一致的影像数据，则将预设和扫描部位一致的影像数据进行提取并确定为比对影像数据。
由于预设和扫描部位一致的影像数据才具有可比性，因此，在一些实施例中，当获取到排列后的影像数据(例如，图10A所示的按时间排列后的同一扫描部位的图像)后，可以进一步地将相同预设和扫描部位的影像数据再提取出来作为比对影像数据。这样可以使医生对影像数据进行比对分析更加方便。
步骤930，将排列后的影像数据和比对影像数据确定为统计分析结果。
在一些实施例中，可以将排列后的影像数据以时间轴的顺序排列呈现在显示界面上，作为统计分析结果(例如，如图10A所示的按照时间轴排列的影像数据)，并展示给医生查阅，以便医生查看各个时间点上的影像数据。在一些实施例中，可以将比对影像数据作为统计分析结果(例如，图10C和10D所示的比对影像数据)，展示给医生查阅，以便医生比对分析。
在一些实施例中，可以将各时间点的影像数据对应的环境参数展示给医生查阅，以便医生结合环境参数查阅分析对应的影像数据，提高分析的准确性。例如，如图10B所示，各时间点的影像数据都对应有各自的环境参数。
在一些实施例中，如果比对影像数据的图像参数不一致，则可以继续执行步骤940，将统一图像参数后的比对影像数据确定为统计分析结果。在一些实施例中，在将排列后的影像数据和比对影像数据确定为统计分析结果之后，可以继续执行步骤950，将差异影像数据确定为统计分析结果。
步骤940，若比对影像数据的图像参数不一致，则按照预设的图像参数对比对影像数据进行重建，得到统一图像参数后的比对影像数据，并将统一图像参数后的比对影像数据确定为统计分析结果。
在一些实施例中，若比对影像数据的图像参数不一致，则可以按照预设的图像参数对比对影像数据进行重建，得到统一图像参数后的比对影像数据，并将统一图像参数后的比对影像数据确定为统计分析结果。例如，图10C中所示影像c和影像d均为同一图像参数后的比对影像数据。
在一些实施例中，预设的图像参数可以由云平台、本地超声设备等预先根据展示需求确定。例如，预设的图像参数可以为与最近一次获取到的影像数据的图像参数相同的图像参数，也可以是专家推荐的图像参数。在一些实施例中，预设的图像参数可以包括多个具体的图像参数类型及其数值，统一图像参数即从影像数据中获取预设的图像参数中指定的图像参数类型，并将影像数据中对应类型的图像参数数值设置为与预设的图像参数中的一致。
在一些实施例中，当获取到比对影像数据，且比对影像数据的图像参数不一致时(例如，比对影像数据中两个图像的分辨率不同)，则可以按照预设的图像参数对比对影像数据进行重建，得到统一图像 参数后的比对影像数据。在一些实施例中，若预设的图像参数中包括的所有图像参数的数值与比对影像数据中的影像数据的对应图像参数的数值均相同时(例如，预设图像参数包括增益、频率和动态范围，且这些参数的数值均对应相同)，则该影像数据不需要重建，重建其他影像数据即可。在一些实施例中，若预设的图像参数为专家推荐的图像参数或设定的图像参数等时，可以重建比对影像数据中的所有影像数据。
在一些实施例中，可以将统一图像参数后的比对影像数据确定为统计分析结果，并呈现到显示界面上展示给医生查阅，如图10C所示。
步骤950，确定比对影像数据之间的差异影像数据，并将差异影像数据确定为统计分析结果。
差异影像数据是指比对影像数据中不同影像数据之间的比对数据，例如，不同时间点、同一时间点不同图像参数等。在一些实施例中，可以将不同时间点影像数据(例如，图10C中2021年3月和2021年4月的影像数据)进行比对，则差异影像数据可以包括各影像数据中的目标对象的变化情况，例如，囊肿的位置、大小变化信息等。
在一些实施例中，可以将同一时间点、不同影像参数重建(例如，图10D中重建前后的2021年5月的影像数据)进行比对，则差异影像数据可以包括同一时间点、不同影像参数重建后的影像数据之间的比对数据。仅作为示例，假设2022年1月的影像数据包括第一调节增益(亮度)的影像和第二调节增益的影像，且第一调节增益小于第二调节增益。则第一调节增益的影像中的囊肿可能显示不是很清晰，医生难以通过第一调节增益的影像查看到囊肿的信息，而第二调节增益的影像中的囊肿显示比较清晰，医生很容易通过第二调节增益的影像查看到囊肿的信息。本说明书一些实施例中，通过对不同影像参数重建前后的影像进行比较分析，从而提高了分析的准确性。
在一些实施例中，当获取到统一影像参数后的比对影像数据后，可以进一步的确定比对影像数据之间的差异影像数据，具体的，可以将比对影像数据通过像素差值运算等方式求取得到比对影像数据之间的差异影像数据。在一些实施例中，可以将差异影像数据确定为统计分析结果，并呈现到显示界面上展示给医生查阅。例如，图10D所示的2021年5月重建前影像可以为对应第一调节参数的囊肿影像，2021年5月重建后影像可以为根据第二调节参数对囊肿影像进行重建后的影像，则差异影像数据为2021年5月重建前后影像之间的差异影像，即差异影像数据体现了根据不同调节参数重建的影像之间的差异。
图11是根据本说明书另一些实施例所示的对超声检查数据进行统计分析的方法的示例性流程图。
如图11所示，流程1100可以包括以下步骤。在一些实施例中，流程1100可以用于超声检查数据中包括测量数据时的数据统计分析。在一些实施例中，流程1100可以由云平台120执行。在一些实施例中，流程1100可以由分析模块1630执行。
步骤1110，按照预设分类方式，对各时间点的测量数据进行时间前后顺序的分类排列，得到排列后的测量数据。
在一些实施例中，得到各时间点的测量数据后，可以进一步的将各时间点的测量数据先按照预设分类方法进行分类。例如，按照测量数据的类型(例如，血管膜壁厚度等)进行分类，再将各类的测量数据进行时间先后顺序的分类排列，得到排列后的测量数据。关于如何基于预设分类方式得到排列后的测量数据的更多内容，可以参见步骤910的相关描述，在此不再赘述。
步骤1120，统计出排列后的测量数据中每一个测量项的数据变化趋势。
测量项是指测量数据中不同类型的测量数据，例如，内中膜前壁厚度、内中膜后壁厚度等。在一些实施例中，得到排列后的测量数据后，可以针对每一测量项，分析每个时间点上的对应测量数据，得到每一个测量项的数据变化趋势。
步骤1130，将每一个测量项的数据变化趋势确定为统计分析结果。
在一些实施例中，在确定每一个测量项的数据变化趋势后，可以将数据变化趋势确定为统计分析结果，并呈现到显示界面上展示给医生查阅。在一些实施例中，测量项的数据变化趋势可以通过各种方式来表示，例如，曲线、柱状图、数据表格等中的一种或其任意组合。例如，图12A中分别表示内中膜前壁厚度、内中膜后壁厚度的曲线图。又例如，图12B中表示胸骨旁左室长轴标准切面前后径变化趋势的柱状图。
在一些实施例中，在确定测量项的数据变化趋势之后，还可以通过步骤1140对每一个测量项的数据变化趋势进行趋势分析。
步骤1140，对每一个测量项的数据变化趋势进行趋势分析，并将趋势分析的结果确定为统计分析结果。
在一些实施例中，在得到每一个测量项的数据变化趋势后，可以进一步地对每一个测量项的数据变化趋势进行趋势分析，得到趋势分析的结果，例如，预设时间段内数据变化趋势的走向、数据变化趋势中的突变点等。在一些实施例中，可以将趋势分析的结果确定为统计分析结果。例如，如图12C中所示的内中膜前壁厚度、内中膜后壁厚度、胸骨旁左室长轴标准切面前后径的趋势分析的结果。
图13是根据本说明书一些实施例所示的超声检查数据的处理方法的示意图。
如图13所示，流程1300可以包括以下步骤。在一些实施例中，在一些实施例中，流程1300可以由云平台120执行。在一些实施例中，流程1300可以由本地超声设备执行。
步骤1301，根据查阅指令搜索其他在线设备，若搜索到其他在线设备，则执行步骤1302，若未搜索到其他在线设备，则执行步骤1303。
步骤1302，建立与其他在线设备的网络连接，并在确定其他在线设备中的目标设备后，断开除目标设备以外的其他在线设备的网络连接，以及从目标设备上获取检查对象的超声检查数据。
步骤1303，从本地超声设备上获取检查对象的超声检查数据。
步骤1304，当超声检查数据包括超声影像数据时，按照预设分类方式，对各时间点的超声影像数据进行时间前后顺序的分类排列，得到排列后的影像数据。
步骤1305，若排列后的影像数据中包含预设和扫描部位一致的影像数据，则将预设和扫描部位一致的影像数据进行提取并确定为比对影像数据。
步骤1306，将排列后的影像数据和比对影像数据确定为统计分析结果。
步骤1307，确定比对影像数据之间的差异影像数据，并将差异影像数据确定为统计分析结果。
步骤1308，当超声检查数据包括测量数据时，按照预设分类方式，对各时间点的测量数据进行时间前后顺序的分类排列，得到排列后的测量数据。
步骤1309，统计出排列后的测量数据中每一个测量项的数据变化趋势。
步骤1310，将每一个测量项的数据变化趋势确定为统计分析结果。
步骤1311，对每一个测量项的数据变化趋势进行趋势分析，并将趋势分析的结果确定为统计分析结果。
步骤1312，在显示界面上通过图形、表格、文字中的至少一种方式展示统计分析结果。
应当注意的是，上述有关流程300、700、800、900、1100、1300的描述仅仅是为了示例和说明，而不限定本说明书的适用范围。对于本领域技术人员来说，在本说明书的指导下可以对流程300、700、800、900、1100、1300进行各种修正和改变。然而，这些修正和改变仍在本说明书的范围之内。例如，可以省略步骤940、950中的任意一个。又例如，步骤940、950的前后顺序可以任意。
图16是根据本说明书一些实施例所示的超声检查数据的处理系统的示意图。
如图16所示，在一些实施例中，超声检查数据的处理系统1600可以包括获取模块1610、确定模块1620和分析模块1630。在一些实施例中，系统1600可以配置在云平台120和/或显示终端140上。在一些实施例中，系统1600可以配置在医学信息处理软件510所在的云平台和/或显示终端520上。在一些实施例中，系统1600可以配置在计算机设备1700上。
在一些实施例中，获取模块1610可以用于根据输入的指令从目标设备上获取目标对象的超声检查数据。其中，目标设备为其他超声设备、医疗信息存储设备和云端设备中的至少一个设备。
在一些实施例中，获取模块1610可以包括：搜索单元，用于根据指令搜索其他在线设备，其中，其他在线设备包括在线的其他超声设备、医疗信息存储设备和云端设备中的至少一个设备；第一获取单元，用于在搜索到其他在线设备的情况下，建立与其他在线设备的网络连接，并在确定其他在线设备中的目标设备后，断开除目标设备以外的其他在线设备的网络连接，以及从目标设备上获取目标对象的超声检查数据；第二获取单元，用于在未搜索到其他在线设备的情况下，从本地超声设备上获取目标对象的超声检查数据。
在一些实施例中，确定模块1620可以用于确定超声检查数据对应的时间序列，并根据时间序列对超声检查数据进行分类，得到时间序列上各时间点的超声检查数据。
在一些实施例中，分析模块1630可以用于根据预设的统计分析方式，对各时间点的超声检查数据进行统计分析，得到统计分析结果。
在一些实施例中，分析模块1630可以包括：排列单元，用于按照预设分类方式，对各时间点的超声影像数据进行时间前后顺序的分类排列，得到排列后的影像数据；第一确定单元，用于在排列后的影像数据中包含预设和扫描部位一致的影像数据的情况下，将预设和扫描部位一致的影像数据进行提取并确定为比对影像数据；第二确定单元，用于将排列后的影像数据和比对影像数据确定为统计分析结果。
在一些实施例中，分析模块1630还可以包括第三确定单元，用于在比对影像数据的图像参数不一致的情况下，按照预设的图像参数对比对影像数据进行重建，得到统一图像参数后的比对影像数据，并将统一图像参数后的比对影像数据确定为统计分析结果。
在一些实施例中，分析模块1630还可以包括第四确定单元，用于确定比对影像数据之间的差异影像数据，并将差异影像数据确定为统计分析结果。
在一些实施例中，分析模块1630还可以包括：第二排列单元，用于按照预设分类方式，对各时间 点的测量数据进行时间前后顺序的分类排列，得到排列后的测量数据；统计单元，用于统计出排列后的测量数据中每一个测量项的数据变化趋势；第五确定单元，用于将每一个测量项的数据变化趋势确定为统计分析结果。
在一些实施例中，分析模块1630还可以包括分析单元，用于对每一个测量项的数据变化趋势进行趋势分析，并将趋势分析的结果确定为统计分析结果。
在一些实施例中，系统1600还可以包括显示模块1640，用于在显示界面上通过图形、表格、文字中的至少一种方式展示统计分析结果。
关于超声检查数据的处理系统1600的具体限定可以参见上文中对于超声检查数据的处理方法的限定，在此不再赘述。上述超声检查数据的处理系统1600中的各个模块可全部或部分通过软件、硬件及其组合来实现。上述各模块可以硬件形式内嵌于或独立于计算机设备中的处理器中，也可以以软件形式存储于计算机设备中的存储器中，以便于处理器调用执行以上各个模块对应的操作。
图17是根据本说明书一些实施例所示的计算机设备的示意图。
在一些实施例中，如图17所示，提供了一种计算机设备1700，其中，设备1700可以是终端。在一些实施例中，设备1700可以包括通过系统总线连接的处理器、存储器、通信接口、显示屏和输入装置。其中，设备1700的处理器用于提供计算和控制能力。设备1700的存储器包括非易失性存储介质和内存储器。其中，非易失性存储介质存储有操作系统和计算机程序，内存储器为非易失性存储介质中的操作系统和计算机程序的运行提供环境。设备1700的通信接口用于与外部的终端进行有线或无线方式的通信。当其中的计算机程序被处理器执行时，可以实现如本说明书一些实施例所述的超声检查数据的处理方法。设备1700的显示屏可以是任何能够显示文字、图像、视频等信息的显示设备，设备1700的输入装置可以是显示屏上覆盖的触摸层，也可以是计算机设备外壳上设置的按键、轨迹球或触控板，还可以是外接的键盘、触控板或鼠标等。
本说明书实施例可能带来的有益效果包括但不限于：(1)通过部署在云平台上的医学信息处理软件以及不同操作权限的多个显示终端，实现了多位操作者(例如，操作医生、上级专家等)通过各自的显示终端同时自主地对云平台中医学信息处理软件进行各种实时操作(例如，浏览和编辑图像等检查数据、对检查数据进行统计分析等)，极大地提高了会诊过程的便利性，实现了诸如检查数据在内的各种医疗数据的实时共享，提升了远程会诊的效率，提高了诊疗质量，保证了诊疗效果；(2)通过云平台上的软件指令即可追踪获取本地超声设备和其他设备(例如，医疗信息存储设备、云端设备等)上的检查对象的超声检查数据，并直接得到超声检查数据的统计结果，克服了传统超声检查中超声检查数据难以共享追踪、人工比对分析耗时时间长且效率低下的问题，极大地提升了检查数据的分析效率，节省了人力资源，降低了医生负担，保证了检查效果。需要说明的是，不同实施例可能产生的有益效果不同，在不同的实施例里，可能产生的有益效果可以是以上任意一种或几种的组合，也可以是其他任何可能获得的有益效果。
上文已对基本概念做了描述，显然，对于本领域技术人员来说，上述详细披露仅仅作为示例，而并不构成对本说明书的限定。虽然此处并没有明确说明，本领域技术人员可能会对本说明书进行各种修改、改进和修正。该类修改、改进和修正在本说明书中被建议，所以该类修改、改进、修正仍属于本说明书示范实施例的精神和范围。
同时，本说明书使用了特定词语来描述本说明书的实施例。如“一个实施例”、“一实施例”、和/或“一些实施例”意指与本说明书至少一个实施例相关的某一特征、结构或特点。因此，应强调并注意的是，本说明书中在不同位置两次或多次提及的“一实施例”或“一个实施例”或“一个替代性实施例”并不一定是指同一实施例。此外，本说明书的一个或多个实施例中的某些特征、结构或特点可以进行适当的组合。
此外，除非权利要求中明确说明，本说明书所述处理元素和序列的顺序、数字字母的使用、或其他名称的使用，并非用于限定本说明书流程和方法的顺序。尽管上述披露中通过各种示例讨论了一些目前认为有用的发明实施例，但应当理解的是，该类细节仅起到说明的目的，附加的权利要求并不仅限于披露的实施例，相反，权利要求旨在覆盖所有符合本说明书实施例实质和范围的修正和等价组合。例如，虽然以上所描述的系统组件可以通过硬件设备实现，但是也可以只通过软件的解决方案得以实现，如在现有的服务器或移动设备上安装所描述的系统。
同理，应当注意的是，为了简化本说明书披露的表述，从而帮助对一个或多个发明实施例的理解，前文对本说明书实施例的描述中，有时会将多种特征归并至一个实施例、附图或对其的描述中。但是，这种披露方法并不意味着本说明书对象所需要的特征比权利要求中提及的特征多。实际上，实施例的特征要少于上述披露的单个实施例的全部特征。
一些实施例中使用了描述成分、属性数量的数字，应当理解的是，此类用于实施例描述的数字，在一些示例中使用了修饰词“大约”、“近似”或“大体上”来修饰。除非另外说明，“大约”、“近似”或“大体上”表明所述数字允许有±20％的变化。相应地，在一些实施例中，说明书和权利要求中使用的数值参数均为近 似值，该近似值根据个别实施例所需特点可以发生改变。在一些实施例中，数值参数应考虑规定的有效数位并采用一般位数保留的方法。尽管本说明书一些实施例中用于确认其范围广度的数值域和参数为近似值，在具体实施例中，此类数值的设定在可行范围内尽可能精确。
针对本说明书引用的每个专利、专利申请、专利申请公开物和其他材料，如文章、书籍、说明书、出版物、文档等，特此将其全部内容并入本说明书作为参考。与本说明书内容不一致或产生冲突的申请历史文件除外，对本说明书权利要求最广范围有限制的文件(当前或之后附加于本说明书中的)也除外。需要说明的是，如果本说明书附属材料中的描述、定义、和/或术语的使用与本说明书所述内容有不一致或冲突的地方，以本说明书的描述、定义和/或术语的使用为准。
最后，应当理解的是，本说明书中所述实施例仅用以说明本说明书实施例的原则。其他的变形也可能属于本说明书的范围。因此，作为示例而非限制，本说明书实施例的替代配置可视为与本说明书的教导一致。相应地，本说明书的实施例不仅限于本说明书明确介绍和描述的实施例。

Claims (32)

  1. 一种信息处理系统，其特征在于，所述系统包括：云平台、至少一个成像设备终端、至少一个显示终端；
    所述成像设备终端和所述显示终端与所述云平台网络连接，以与所述云平台进行数据通信；
    所述云平台用于响应于所述成像设备终端和/或所述显示终端的指令，将指令执行结果反馈给所述成像设备终端和/或所述显示终端，或基于所述指令向所述成像设备终端和/或所述显示终端下发新的指令。
  2. 根据权利要求1所述的系统，其特征在于，所述云平台包括以下至少其中之一：网络管理模块、前端模块、算法模块、预设管理模块、测量模块、图像操作流控制模块、患者信息管理模块、语音视频模块、权限管理模块、应用服务模块。
  3. 根据权利要求2所述的系统，其特征在于：
    所述网络管理模块用于管理网络通信；
    所述前端模块用于控制所述成像设备终端操作；
    所述算法模块用于处理所述成像设备终端产生的原始数据；
    所述预设管理模块用于管理配置文件；
    所述测量模块用于对目标对象进行测量；
    所述图像操作流控制模块用于进行基于图像界面的操作；
    所述目标对象信息管理模块用于管理目标对象信息以及与目标对象相关的数据；
    所述语音视频模块用于管理传输的语音视频数据；
    所述权限管理模块用于权限管理；
    所述应用服务模块用于提供增值应用服务。
  4. 根据权利要求3所述的系统，其特征在于，所述网络管理模块用于管理所述成像设备终端与所述显示终端通过所述云平台进行的网络连接、所述至少一个显示终端中不同显示终端间的网络连接。
  5. 根据权利要求2所述的系统，其特征在于，所述云平台进一步包括数据收集模块，所述数据收集模块用于收集和存储目标对象历史检查数据。
  6. 根据权利要求5所述的系统，其特征在于，所述云平台进一步包括统计分析模块，所述统计分析模块用于基于所述目标对象历史检查数据进行同类检查数据的统计和分析，获取分析结果。
  7. 根据权利要求6所述的系统，其特征在于，所述统计分析模块进一步用于：
    基于时间轴，对影像数据进行图像对比和差异展示；
    对测量数据进行测量结果的趋势统计和分析；
    对于不同参数下的检查结果进行二次图像重建和结果分析。
  8. 根据权利要求6所述的系统，其特征在于，所述成像设备终端和/或显示终端包含数据展示模块，所述数据展示模块用于显示所述目标对象历史检查数据和所述分析结果中的至少一个。
  9. 根据权利要求1所述的系统，其特征在于，所述成像设备终端用于成像。
  10. 根据权利要求1所述的系统，其特征在于，所述成像设备终端和/或显示终端用于显示云桌面，所述云桌面用于显示以下至少之一：目标对象相关信息、成像参数调节相关信息、图像相关信息。
  11. 根据权利要求10所述的系统，其特征在于，所述云桌面将所述成像设备终端的功能及操作进行了划分，其中，所述功能及操作分为两部分，一部分与探头调节相关，另一部分与上传数据的调节相关。
  12. 一种信息处理系统，其特征在于，所述系统包括：部署在云平台上的医学信息处理软件、多个显示终端；所述显示终端对所述医学信息处理软件的操作权限的类型包括至少两种；
    所述医学信息处理软件，用于响应于各所述显示终端的指令，生成各所述指令对应的指令执行结果，并向各所述显示终端反馈所述对应的指令执行结果，各所述显示终端的指令与各所述显示终端对所述医学信息处理软件的操作权限对应；
    各所述显示终端，用于展示所述指令执行结果。
  13. 根据权利要求12所述的系统，其特征在于，所述系统还包括成像设备终端，所述多个显示终端中至少一个显示终端连接有所述成像设备终端；
    所述成像设备终端，用于根据所述医学信息处理软件下发的控制参数，采集目标对象的医学数据。
  14. 根据权利要求13所述的系统，其特征在于，每个所述显示终端均包括操作功能按钮；
    所述操作功能按钮，用于基于各所述显示终端对所述医学信息处理软件的操作权限，被触发时产生对所述成像设备终端和所述目标对象的会诊信息进行操作的指令。
  15. 根据权利要求14所述的系统，其特征在于，所述操作功能按钮包括采集信息操作按钮、图像效果操作按钮和对象信息操作按钮；
    所述采集信息操作按钮，用于被触发时产生对所述成像设备终端的采集参数进行操作的指令，和/或，被触发时产生对所述成像设备终端采集的所述目标对象的原始医学数据进行操作的指令；
    所述图像效果操作按钮，用于被触发时产生对所述原始医学数据对应的医学图像进行编辑的指令；
    所述对象信息操作按钮，用于被触发时产生对所述目标对象的会诊信息进行编辑操作的指令。
  16. 根据权利要求15所述的系统，其特征在于，若所述指令为通过触发所述显示终端中的采集信息操作按钮生成的，则所述指令对应的指令执行结果为处理后的成像设备终端的采集参数，和/或，目标对象的原始医学数据被处理后的信息。
  17. 根据权利要求16所述的系统，其特征在于，所述采集信息操作按钮包括数据收集按钮和数据分析按钮；
    所述数据收集按钮，用于被触发时从目标设备上获取所述目标对象的检查数据，所述目标设备包括所述成像设备终端、医疗信息存储设备和云端设备中的至少一个设备；
    所述数据分析按钮，用于被触发时确定所述检查数据对应的时间序列，并根据所述时间序列对所述检查数据进行分类，得到所述时间序列上各时间点的检查数据；根据预设的统计分析方式，对所述各时间点的检查数据进行统计分析，得到统计分析结果。
  18. 根据权利要求15所述的系统，其特征在于，若所述指令为通过触发所述显示终端中的图像效果操作按钮生成的，则所述指令对应的指令执行结果为对所述原始医学数据对应的医学图像进行编辑后的图像信息。
  19. 根据权利要求15所述的系统，其特征在于，若所述指令为通过触发所述显示终端中的对象信息操作按钮生成的，则所述指令对应的指令执行结果为对所述目标对象的会诊信息进行编辑后的会诊信息。
  20. 一种信息处理方法，其特征在于，所述方法包括：
    响应于多个显示终端的指令，生成各所述指令对应的指令执行结果；各所述显示终端的指令与部署在云平台中的医学信息处理软件的操作权限对应；所述显示终端对所述医学信息处理软件的操作权限类型包括至少两种；
    向各所述显示终端反馈所述对应的指令执行结果，以指示各所述显示终端展示所述指令执行结果。
  21. 一种医疗设备，包括显示终端、数据采集装置、存储器和处理器，所述存储器存储有计算机程序，所述数据采集装置用于采集目标对象的检查数据，其特征在于，所述处理器执行所述计算机程序时实现权利要求19中所述信息处理方法的步骤，所述显示终端用于显示所述处理器执行的结果信息。
  22. 一种超声检查数据的处理方法，其特征在于，所述方法包括：
    根据输入的指令从目标设备上获取目标对象的超声检查数据，所述目标设备为其他超声设备、医疗信息存储设备和云端设备中的至少一个设备；
    确定所述超声检查数据对应的时间序列，并根据所述时间序列对所述超声检查数据进行分类，得到所述时间序列上各时间点的超声检查数据；
    根据预设的统计分析方式，对所述各时间点的超声检查数据进行统计分析，得到统计分析结果。
  23. 根据权利要求22所述的方法，其特征在于，所述输入的指令来自于多个显示终端，所述多个显示 终端的操作包括：
    响应于所述多个显示终端的指令，生成各所述指令对应的指令执行结果；各所述显示终端的指令与部署在云平台中的医学信息处理软件的操作权限对应；所述显示终端对所述医学信息处理软件的操作权限类型包括至少两种；
    向各所述显示终端反馈所述对应的指令执行结果，以指示各所述显示终端展示所述指令执行结果。
  24. 根据权利要求22所述的方法，其特征在于，所述根据输入的指令从目标设备上获取目标对象的超声检查数据，包括：
    根据所述指令搜索其他在线设备，所述其他在线设备包括在线的其他超声设备、医疗信息存储设备和云端设备中的至少一个设备；
    若搜索到所述其他在线设备，则建立与所述其他在线设备的网络连接，并在确定所述其他在线设备中的目标设备后，断开除所述目标设备以外的其他在线设备的网络连接，以及从所述目标设备上获取所述目标对象的超声检查数据；
    若未搜索到所述其他在线设备，则从本地超声设备上获取所述目标对象的超声检查数据。
  25. 根据权利要求22所述的方法，其特征在于，所述超声检查数据包括超声影像数据，所述根据预设的统计分析方式，对所述各时间点的超声检查数据进行统计分析，得到统计分析结果，包括：
    按照预设分类方式，对所述各时间点的超声影像数据进行时间前后顺序的分类排列，得到排列后的影像数据；
    若所述排列后的影像数据中包含预设和扫描部位一致的影像数据，则将所述预设和扫描部位一致的影像数据进行提取并确定为比对影像数据；
    将所述排列后的影像数据和所述比对影像数据确定为所述统计分析结果。
  26. 根据权利要求25所述的方法，其特征在于，所述方法还包括：
    若所述比对影像数据的图像参数不一致，则按照预设的图像参数对所述比对影像数据进行重建，得到统一图像参数后的比对影像数据，并将所述统一图像参数后的比对影像数据确定为所述统计分析结果。
  27. 根据权利要求25或26所述的方法，其特征在于，所述方法还包括：
    确定所述比对影像数据之间的差异影像数据，并将所述差异影像数据确定为所述统计分析结果。
  28. 根据权利要求22所述的方法，其特征在于，所述超声检查数据包括测量数据，所述根据预设的统计分析方式，对所述各时间点的超声检查数据进行统计分析，得到统计分析结果，包括：
    按照预设分类方式，对所述各时间点的测量数据进行时间前后顺序的分类排列，得到排列后的测量数据；
    统计出所述排列后的测量数据中每一个测量项的数据变化趋势；
    将所述每一个测量项的数据变化趋势确定为所述统计分析结果。
  29. 根据权利要求28所述的方法，其特征在于，所述方法还包括：
    对所述每一个测量项的数据变化趋势进行趋势分析，并将趋势分析的结果确定为所述统计分析结果。
  30. 根据权利要求22-29任一项所述的方法，其特征在于，所述方法还包括：
    在显示界面上通过图形、表格、文字中的至少一种方式展示所述统计分析结果。
  31. 一种计算机设备，包括存储器和处理器，所述存储器存储有计算机程序，其特征在于，所述处理器执行所述计算机程序时实现权利要求22至30中任一项所述超声检查数据的处理方法的步骤。
  32. 一种计算机可读存储介质，所述存储介质存储计算机指令，当计算机读取存储介质中的计算机指令后，计算机执行如权利要求22至30中任一项所述的超声检查数据的处理方法。
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