CN114417033A - Image data processing system, method, electronic terminal and storage medium - Google Patents
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Abstract
The embodiment of the invention discloses a processing system, a method, an electronic terminal and a storage medium of image data, wherein the system comprises: the system comprises a main platform, a sub-center and a plurality of sub-centers, wherein the main platform is used for obtaining image data of image acquisition equipment in an incremental mode, generating an index value based on a first preset field in the image data and issuing the image data and the index value to the sub-center corresponding to a second preset field in the image data; and the sub-center is used for storing the image data and the index value issued by the main platform in an associated manner, responding to a first query request which is sent by a user side and corresponds to a target index value, and returning the image data corresponding to the target index value to the user side. The processing speed of the image data can be increased, and the user experience is improved.
Description
Technical Field
Embodiments of the present invention relate to data processing technologies, and in particular, to a system and a method for processing image data, an electronic terminal, and a storage medium.
Background
With the wide application of electronic imaging technology, the data volume of image data is rapidly enlarged, so that the processing capabilities of the existing processing system for acquiring, transmitting, storing, retrieving and the like the image data are all bottlenecked, and the image data is slow in processing speed and poor in user experience.
Disclosure of Invention
In view of this, embodiments of the present invention provide a system and a method for processing image data, an electronic terminal, and a storage medium, which can accelerate the processing speed of image data and improve user experience.
In a first aspect, an embodiment of the present invention provides a system for processing image data, including:
the system comprises a main platform, a sub-center and a plurality of sub-centers, wherein the main platform is used for obtaining image data of image acquisition equipment in an incremental mode, generating an index value based on a first preset field in the image data and issuing the image data and the index value to the sub-center corresponding to a second preset field in the image data;
and the sub-center is used for storing the image data and the index value issued by the main platform in an associated manner, responding to a first query request which is sent by a user side and corresponds to a target index value, and returning the image data corresponding to the target index value to the user side.
In a second aspect, an embodiment of the present invention further provides a method for processing image data, including:
acquiring image data of image acquisition equipment through a total platform increment, generating an index value based on a first preset field in the image data, and issuing the image data and the index value to a sub-center corresponding to a second preset field in the image data;
and storing the image data and the index value issued by the main platform in an associated manner through at least one sub-center, responding to a first query request which is sent by a user side and corresponds to a target index value, and returning the image data corresponding to the target index value to the user side.
In a third aspect, an embodiment of the present invention further provides an electronic terminal, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor executes the computer program to implement the method for processing image data according to any embodiment of the present invention.
In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to implement the method for processing image data according to any embodiment of the present invention.
The embodiment of the invention provides a processing system, a method, an electronic terminal and a storage medium of image data, wherein the processing system of the image data comprises: the main platform is used for obtaining image data of the image acquisition equipment in an incremental mode, generating an index value based on a first preset field in the image data, and sending the image data and the index value to a sub-center corresponding to a second preset field in the image data; and the sub-center is used for storing the image data and the index value issued by the main platform in an associated manner, responding to a first query request which is sent by the user side and corresponds to the target index value, and returning the image data corresponding to the target index value to the user side. The overall index value is generated through the main platform, and the index value and the image data are stored in the branch centers in a distributed mode, so that the image data required by each user side can be inquired from each branch center based on the index value, the processing speed of the image data is increased, and the user experience is improved.
Drawings
Fig. 1 is a schematic structural diagram of an image data processing system according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an exemplary image data processing system according to an embodiment of the present invention;
fig. 3 is a flowchart of a method for processing image data according to a fifth embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic terminal according to a sixth embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described through embodiments with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention. In the following embodiments, optional features and examples are provided in each embodiment, and various features described in the embodiments may be combined to form a plurality of alternatives, and each numbered embodiment should not be regarded as only one technical solution.
Example one
Fig. 1 is a schematic structural diagram of an image data processing system according to an embodiment of the present invention. The embodiment can be applied to the case of processing image data, such as the case of acquiring, storing and inquiring image data. The image data processing system provided in this embodiment may be implemented in software and/or hardware, and the system may be configured in the electronic terminal provided in this embodiment of the present invention, for example, may be configured in a server.
Referring to fig. 1, the image data processing system provided in this embodiment may include:
the main platform 101 is used for obtaining image data of the image acquisition equipment 102 in an incremental manner, generating an index value based on a first preset field in the image data, and sending the image data and the index value to a sub-center 103 corresponding to a second preset field in the image data;
and the sub-center 103 is configured to store the image data and the index value delivered by the main platform in an associated manner, and return the image data corresponding to the target index value to the user side 104 in response to a first query request corresponding to the target index value and sent by the user side 104.
In this embodiment, the image data may be regarded as medical image data, and may include, but is not limited to, Computed Tomography (CT), Positron Emission Tomography (PET), Nuclear Magnetic Resonance Imaging (NMRI), and the like. Accordingly, the image acquisition device may include, but is not limited to, a CT device, a PET device, an NMRI device, and the like.
The overall platform may be a cloud film overall platform for providing various image data services, and the various services provided may include, but are not limited to, a cloud storage service, a unified indexing service, and a centralized control service. The cloud storage service can comprise a full storage service of image data; the unified index service may include services for generating, issuing, and the like, which maintain a global unified index value of the image data; the centralized control service can comprise centralized control services of managing and maintaining information of all the branch centers, monitoring operation conditions of all the branch centers in real time, distributing query requests to all the branch centers and the like.
The sub-centers may be divided into different categories, and one or more sub-centers may be included under each category. For example, a plurality of sub-centers may be established according to the region to which the image data belongs, or a plurality of sub-centers may be established according to the type of the image data, which is not exhaustive. The sub-centers can operate independently and can provide sub-center storage service, sub-center index service, sub-center retrieval service and the like. The sub-center storage service can comprise a service for storing image data issued by the main platform; the sub-center index service can comprise a service for indexing the local image data according to the index value issued by the main platform; the decentralized retrieval service may include a service for receiving a user query and returning corresponding image data.
The process of acquiring the image data by the total platform increment may be a distributed data acquisition process, and may include: firstly, image data of various image acquisition devices in the institutions can be read in an incremental manner through front-end processors in the institutions such as hospitals, physical examination centers and the like; alternatively, information such as image data and reports of various image acquisition devices in the institutions is maintained through a Picture Archiving and Communication System (PACS), and the image data is incrementally read from the PACS system through a front-end processor. Then, the image data obtained by increment can be analyzed, compressed, encrypted and the like through the front-end processor, and uploaded to the general platform. Finally, the main platform can decrypt and decompress the received data to obtain the incremental data.
The image data may include a plurality of fields, and the fields may include, but are not limited to, patient identification, treatment area, treatment hospital, image capturing device identification, image capturing person identification, image reader identification, image belonging body identification, body tissue description, image capturing time, and the like.
The first preset field may include at least one field, and the corresponding global index value may be generated according to a difference of the fields. For example, when the first preset field is a patient identification field, a global index value may be generated according to the single field, and a result obtained by querying according to the index value may be all image data of a certain patient; for another example, when the first preset field is a patient identity and an image acquisition time field, a global index value may be generated according to the two fields, and a result obtained by querying according to the index value may be image data of a certain patient at a certain time, which is not exhaustive here. It can be considered that the same image acquisition data may correspond to different index values according to different first preset fields.
The second preset field may be a field characterizing the sub-center division category. For example, if a plurality of sub-centers are established according to the region to which the image data belongs, the second preset field may be a diagnosis region; if a plurality of sub-centers are established according to the type of the image data, the second preset field can be an image human tissue identifier, which is not exhaustive.
The generating of the index value by the total platform based on the first preset field in the image data may include: the general platform adopts a Hash algorithm (Hash), and generates a Hash index value based on a first preset field in the image data. In addition, other algorithms for generating unique index values may be used to calculate the index values, such as Message Digest (MD) series algorithms.
After the index value of each piece of image data is obtained through calculation, the main platform can determine the sub-centers corresponding to the second preset fields in each piece of image data, and respectively sends each piece of image data and the index value corresponding to the image data to the corresponding sub-centers, so that unified index service on the main platform can be realized. For example, it is assumed that the second preset field is a visiting area, and the visiting areas may specifically include a city a, a city B, and a city C in province a, and each visiting area corresponds to one sub-center. Then, if the second preset field of the current strip of image data is a province a city, the current strip of image data and the corresponding index value thereof may be sent to the branch center corresponding to the province a city.
Wherein, each sub-center stores the image data and the index value in association, which may include: each sub-center establishes the incidence relation between each received image data and the corresponding index value; storing each image data into a local sub-library sub-table according to a third preset field; and an index table is established according to each index value. The third preset fields of different branch centers may be different, and the correspondingly established branch database tables may also have differences. Illustratively, the third preset field may include a hospital visiting field, an image acquisition device identifier, and the like, that is, the image data may be stored into different sub-repository sub-tables of the sub-center according to hospitals, devices, and the like. By storing each image data in a sub-center manner, distributed storage of the image data can be realized.
The user terminal may include, but is not limited to, a patient terminal, a doctor terminal, a facility terminal, and the like. The user side can directly send the first query request to the branch centers, or route the first query request to the corresponding branch centers through the main center. The first query request may carry a query condition, and the query condition may be considered as a specific numerical value of a field of the query. The sub-center or the total center may generate a target index value according to the query condition carried in the first query request, that is, the target index value may correspond to the first query request. Furthermore, the branch center can inquire whether a target index value exists in the index table; if the image data exists, the corresponding image data can be indexed according to the pre-established association relationship between the image data and the index value and returned to the corresponding user side. Each user side can realize distributed inquiry of the image data by indexing and retrieving the image data from the branch center.
In a conventional image processing system, a centralized processing mode is usually adopted to perform processing such as acquisition, transmission, storage, retrieval and the like on image data. At present, the annual data volume of the provincial medical cloud platform can reach more than 3000 ten thousand cases, and the bottleneck appears in each processing capacity of the centralized image processing system. However, the image data processing system provided in this embodiment can realize distributed acquisition, storage, and query of image data, so that multi-center accelerated processing of image data can be realized, massive image data can be handled, and service efficiency of users is greatly improved. The total platform can further achieve full-data index unification, and through establishment of global unified index service, image query node query of each user side accessed nearby can be facilitated, so that image data can be retrieved efficiently, and a distributed image cloud platform for efficient retrieval is achieved.
Fig. 2 is a schematic structural diagram of an image data processing system according to an embodiment of the present invention. Referring to fig. 2, the main platform may be a cloud film main platform, and the sub-centers may include cloud film sub-centers 1-N. The cloud film total platform can comprise modules for providing cloud storage service, unified index service and centralized control service. The cloud film subcenter 1-N can comprise modules for providing subcenter storage service, subcenter index service and subcenter retrieval service.
The cloud film main platform can be communicated with each image acquisition device and/or a PACS system in each mechanism to obtain image data in an increment manner; the global index value can be generated by the unified index service module according to the first preset field of the image data, and the image data and the corresponding index value are issued to the corresponding cloud film sub-center according to the second preset field. Each cloud film sub-center can store image data and index values in an associated mode through the sub-center storage module.
The client can directly send the first query request to the cloud film sub-center, or the client can route the first query request to the corresponding sub-center through a centralized control service module of the cloud film main platform, so that the first query request is indirectly sent. The cloud film subcenter can determine a target index value corresponding to the first query request, and index and retrieve the required data through a subcenter index service module and a subcenter retrieval service module of the cloud film subcenter. In addition, the cloud storage service module of the cloud film master platform can also realize the full storage of image data, so that the user side can acquire the required data through the cloud storage service module of the master platform under special conditions of abnormal cloud film branch centers, incomplete data and the like.
An embodiment of the present invention provides a system for processing image data, including: the main platform is used for obtaining image data of the image acquisition equipment in an incremental mode, generating an index value based on a first preset field in the image data, and sending the image data and the index value to a sub-center corresponding to a second preset field in the image data; and the sub-center is used for storing the image data and the index value issued by the main platform in an associated manner, responding to a first query request which is sent by the user side and corresponds to the target index value, and returning the image data corresponding to the target index value to the user side. The overall index value is generated through the main platform, and the index value and the image data are stored in the branch centers in a distributed mode, so that the image data required by each user side can be inquired from each branch center based on the index value, the processing speed of the image data is increased, and the user experience is improved.
Example two
In this embodiment, on the basis of the above embodiments, a detailed description is given of a case where the user side is the patient side. After the image data of the patient end is stored in the branch center through the main platform, the query code is generated according to the storage address and is issued to the patient end, the patient end can directly query the required image data from the branch center according to the query code, and the speed of the patient end for looking up the image data can be improved. In addition, the patient side can also carry out integrity check on the image data returned by the branch center, when the image data of the branch center is incomplete, the rest image data can also be requested from the main platform, and the data acquired from the branch center and the main platform are summarized and displayed to ensure the integrity of the data.
In this embodiment, the user side includes a patient side; the sub-center is also used for feeding back a storage address to the main platform when the image data and the index value corresponding to the patient end are stored, so as to generate a query code according to the storage address through the main platform and send the query code to the corresponding patient end; correspondingly, the patient side is used for sending a first query request to the corresponding subcenter according to the received query code.
The query code may include, but is not limited to, a character string, a barcode, a two-dimensional code, and the like. Wherein, the patient end can be bound with the patient identity; accordingly, the image data corresponding to the patient side may refer to the image data including the patient id bound to the patient side. After the sub-center stores the image data and the index value corresponding to the patient side, the sub-center address can be used as a storage address to be fed back to the main platform. Correspondingly, the general platform can generate the query code according to the storage address, or can generate the query code according to other fields such as the storage address and the patient identity, and the query code is issued to the patient end corresponding to the image data.
After receiving the query code, the patient side can access the corresponding sub-center by triggering the query code (for example, scanning a two-dimensional code, etc.), and can directly send a first query request carrying query conditions to the sub-center, so that the sub-center feeds back image data. After accessing the corresponding branch center, the patient side may also perform identity verification (e.g., input a patient identity, etc.), and may send the first query request after the identity verification passes.
After the image data of the patient end is stored in the branch center through the main platform, the query code is generated according to the storage address and is issued to the patient end, the patient end can directly query the required image data from the branch center according to the query code, the speed of looking up the image data by the patient end can be increased, and the problem of query bottleneck in centralized query of each end is solved.
In an alternative implementation, the overall platform is further configured to store the image data and the index value; the patient end is also used for verifying the integrity of the image data returned by the sub-center, and sending a second query request corresponding to the target index value to the main platform when the verification fails so that the main platform returns the image data corresponding to the second query request; and summarizing the image data returned by the sub-center and the image data returned by the main platform, and displaying a summarizing result.
In an actual application scenario, there is a case where image data of a patient side of a certain sub-center is incomplete. For example, the patient has been examined in the A city and the B city successively, and the image data of the two examinations are stored in the corresponding centers of the A city and the B city. When the patient end needs to inquire two data, the corresponding subcenter of the city B can be inquired according to the later received inquiry code, but the prior image data can not be inquired.
In view of the above, in this optional embodiment, the total platform may implement full storage of the image data based on the cloud storage service module, specifically may store the full image data and the corresponding index value in an associated manner, and may specifically refer to the associated storage details of the sub-center.
After receiving the image data returned by the sub-center, the patient end can perform integrity check on the image data. For example, the following may be specifically mentioned: the patient side can send the number of the received image data and the index value to the total platform, so that whether the total number of the image data corresponding to the index value is equal to the received number or not is verified through the total platform, if the total number is equal to the received number, the verification is considered to be passed, if the total number is smaller than the received number, the verification is considered to be failed, and a verification result can be returned to the patient side.
When the patient end receives the result of the integrity check failure, a second query request carrying the query condition in the first query request and the sub-center identifier corresponding to the first query request can be sent to the overall platform. The main platform can generate a target index value corresponding to the query condition according to the query condition in the second query request, namely the second query request corresponds to the target index value; the full amount of image data corresponding to the target index value can be inquired; the method can determine all the sub-centers which are correspondingly issued by the full amount of image data according to a module of the centralized control service, and can remove the sub-centers corresponding to the sub-center identification in the second query request from the module to obtain the image data in the sub-centers which are not received by the patient end; and returning the image data which is not received by the patient end to the patient end.
In these optional implementation manners, the patient side performs integrity check on the image data returned by the branch center, requests the remaining image data from the main platform when the image data of the branch center is incomplete, and summarizes and displays the data acquired from the branch center and the data acquired from the main platform, so that the data integrity can be ensured.
In the embodiment of the present invention, the case where the user side is the patient side is described in detail. After the image data of the patient end is stored in the branch center through the main platform, the query code is generated according to the storage address and is issued to the patient end, the patient end can directly query the required image data from the branch center according to the query code, and the speed of the patient end for looking up the image data can be improved. In addition, the patient side can also carry out integrity check on the image data returned by the branch center, when the image data of the branch center is incomplete, the rest image data can also be requested from the main platform, and the data acquired from the branch center and the main platform are summarized and displayed to ensure the integrity of the data. The embodiments of the present invention and the image data processing system provided by the embodiments described above belong to the same inventive concept, and the technical details not described in detail can be referred to the embodiments described above, and have the same technical effects.
EXAMPLE III
In this embodiment, on the basis of the above embodiment, a detailed description is given of a case where the user side is the doctor side. The doctor end can be routed to the corresponding branch center through the main platform to inquire the required image data by logging in the main platform and inputting the inquiry conditions, so that the speed of looking up the image data by the doctor end can be increased. In addition, when the query from the sub-center fails, the query can be performed again from the main platform, so that the normal acquisition of the image data when the query from the sub-center is abnormal is ensured.
In this embodiment, the user terminal includes a doctor terminal; the main platform is further used for receiving query conditions of the doctor end, generating a target index value according to the query conditions, and returning the target index value and the sub-center corresponding to the target index value to the doctor end, so that the doctor end sends a first query request to the sub-center corresponding to the target index value.
When the doctor end retrieves the image data of each patient, the doctor end can log in the general platform, and input query conditions (such as patient identification with retrieved image data, image acquisition time and the like) when the login is successful. The main platform can generate a corresponding target index value according to the query condition, query the sub-center issued by the image data corresponding to the target index value, and return the target index value and the corresponding sub-center to the doctor end. The doctor end can send a first query request carrying a target index value to the branch center so that the branch center feeds back image data.
The master platform can realize that the doctor end is routed to the image data required by the inquiry of the corresponding branch center according to the inquiry condition input by the doctor end, so that the speed of looking up the image data by the doctor end can be increased, and the problem of inquiry bottleneck in centralized inquiry of each end is solved. In addition, when the user side is the patient side, besides accessing the sub-centers through the query codes, the user side can log in the main platform and input query conditions as the doctor side, so that the image data required by the query at the corresponding sub-centers can be routed through the main platform.
In an alternative implementation, the overall platform is further configured to store the image data and the index value; the doctor end is further used for sending the first query request to the main platform when the query according to the first query request fails, so that the main platform returns the image data corresponding to the first query request, and the received image data is displayed.
In an actual application scene, the situation that the sub-center fails to store the image data due to the abnormal sub-center storage module, the abnormal communication between the main platform and the sub-center and the like exists. For these situations, in this optional embodiment, the total platform may also implement full storage of the image data based on the module of the cloud storage service.
The doctor end sends a first query request to the branch center, and if the branch center does not query corresponding data, returns image data empty, or does not return data for a certain time, the doctor end can be considered to fail to query according to the first query request. When the inquiry to the sub-center fails, the doctor end can send a first inquiry request to the main platform so as to inquire again through the main platform, and therefore normal acquisition of image data when the sub-center inquiry is abnormal is guaranteed.
In the embodiment of the invention, the situation that the user side is the doctor side is described in detail. The doctor end can be routed to the corresponding branch center through the main platform to inquire the required image data by logging in the main platform and inputting the inquiry conditions, so that the speed of looking up the image data by the doctor end can be increased. In addition, when the query from the sub-center fails, the query can be performed again from the main platform, so that the normal acquisition of the image data when the query from the sub-center is abnormal is ensured. The embodiments of the present invention and the image data processing system provided by the embodiments described above belong to the same inventive concept, and the technical details not described in detail can be referred to the embodiments described above, and have the same technical effects.
Example four
The present embodiment describes in detail the steps of determining the index value of the image data of the predetermined category and storing the image data of the predetermined category based on the above embodiments. By distinguishing the index value determination mode of the preset category of image data from the index value determination mode of the common image data, another global unified index can be generated. Meanwhile, by storing the preset data to another type of branch center, the specific recording of special image data such as difficult and complicated symptoms can be realized, the follow-up statistical analysis is facilitated, and the image consultation of difficult and complicated symptoms and the rapid search of clinical scientific research service can be realized.
In this embodiment, the overall platform is further configured to: and when the image data acquired by the increment belongs to the preset category, generating an index value based on a first preset field in the image data and a category field of the preset category, and issuing the image data and the index value to the sub-center corresponding to the preset category.
The preset categories may include, but are not limited to, a remote consultation category and a miscellaneous disease category. When the image data belongs to a predetermined category, the general platform may add a category field (for example, a field including a category identifier, a category specific rating, etc.) to the image data. And the general platform can also generate an index value based on the first preset field and the category field, and send the image data and the corresponding index value to the branch center corresponding to the category field for recording the data of the special category, so that the subsequent statistical analysis is facilitated, and the image statistical analysis rate in medical clinical treatment and medical scientific research is improved.
Correspondingly, when a doctor end initiates remote diagnosis or difficult consultation, the doctor end can grade the diagnosis or difficult miscellaneous diseases and send other query conditions to the general platform, so that the general platform is routed to the corresponding branch center to acquire required image data, the difficult disease image consultation and clinical scientific research service can be quickly consulted, and the service efficiency of clinicians and scientific researchers is greatly improved.
In the embodiment of the present invention, the steps of determining the index value of the image data of the predetermined category and storing the image data of the predetermined category are described in detail. By distinguishing the index value determination mode of the preset category of image data from the index value determination mode of the common image data, another global unified index can be generated. Meanwhile, by storing the preset data to another type of branch center, the specific recording of special image data such as difficult and complicated symptoms can be realized, the follow-up statistical analysis is facilitated, and the image consultation of difficult and complicated symptoms and the rapid search of clinical scientific research service can be realized. In addition, the embodiments of the present invention and the processing system for image data provided by the embodiments described above belong to the same inventive concept, and technical details that are not described in detail can be referred to the embodiments described above, and have the same technical effects.
EXAMPLE five
Fig. 3 is a flowchart of a method for processing image data according to a fifth embodiment of the present invention. The embodiment can be applied to the case of processing image data, such as the case of acquiring, storing and inquiring image data. The method can be executed by the image data processing system provided by the embodiment of the invention.
Referring to fig. 3, the method for processing image data according to the present embodiment may include:
s310, acquiring image data of the image acquisition equipment through the total platform increment, generating an index value based on a first preset field in the image data, and issuing the image data and the index value to a sub-center corresponding to a second preset field in the image data;
s320, storing the image data and the index value issued by the main platform in a related mode through at least one sub-center, responding to a first query request which is sent by the user side and corresponds to the target index value, and returning the image data corresponding to the target index value to the user side.
In some alternative implementations, the user side comprises a patient side; the image data processing method may further include:
feeding back a storage address to the main platform through the sub-center when the image data and the index value corresponding to the patient end are stored, so as to generate a query code according to the storage address through the main platform and send the query code to the corresponding patient end;
correspondingly, the first query request is sent to the corresponding subcenter by the patient end according to the received query code.
In some optional implementations, the method for processing image data may further include:
storing the image data and the index value through a general platform;
receiving a second query request of the patient end through the main platform, wherein the second query request is a query request which is sent to the main platform and corresponds to the target index value when the integrity of the image data returned by the sub-center is verified by the patient end;
and returning the image data corresponding to the second query request to the patient end through the main platform, so that the patient end summarizes the image data returned by the sub-center and the image data returned by the main platform, and displays the summarized result.
In some alternative implementations, the user side includes a physician side; the image data processing method may further include:
and receiving a query condition of the doctor end through the main platform, generating a target index value according to the query condition, and returning the target index value and the sub-center corresponding to the target index value to the doctor end so that the doctor end sends a first query request to the sub-center corresponding to the target index value.
In some optional implementations, the method for processing image data may further include:
storing the image data and the index value through a general platform;
receiving a first query request of a doctor end through a main platform, wherein the first query request is a query request sent to the main platform by the doctor end when the doctor end fails to query according to the first query request sent to the branch center;
and returning the image data corresponding to the first query request through the main platform so that the doctor end can display the received image data.
In some optional implementations, the method for processing image data may further include:
when the image data acquired through the main platform in the increment belongs to the preset category, an index value is generated based on a first preset field in the image data and a category field of the preset category, and the image data and the index value are issued to the sub-center corresponding to the preset category.
In some optional implementations, the method for processing image data may specifically include: and generating a hash index value based on a first preset field in the image data through the general platform.
The image data processing method provided by the embodiment of the invention can be executed by the image data processing system provided by the embodiment of the invention, and has the method steps and the beneficial effects corresponding to the functional modules in the execution system. For details that are not described in detail, reference may be made to the image data processing system provided in any embodiment of the present invention.
EXAMPLE six
Fig. 4 is a schematic structural diagram of an electronic terminal according to a sixth embodiment of the present invention. Fig. 4 illustrates a block diagram of an exemplary terminal 12 suitable for use in implementing any of the embodiments of the present invention. The terminal 12 shown in fig. 4 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention. The device 12 is typically a terminal that handles the processing function of image data.
As shown in fig. 4, the terminal 12 is embodied in the form of a general purpose computing device. The components of the terminal 12 may include, but are not limited to: one or more processors or processing units 16, a memory 28, and a bus 18 that couples the various components (including the memory 28 and the processing unit 16).
The terminal 12 typically includes a variety of computer readable media. Such media may be any available media that is accessible by terminal 12 and includes both volatile and nonvolatile media, removable and non-removable media.
The terminal 12 may also communicate with one or more external devices 14 (e.g., keyboard, mouse, camera, etc., and display), one or more devices that enable a user to interact with the terminal 12, and/or any devices (e.g., network card, modem, etc.) that enable the terminal 12 to communicate with one or more other computing devices. Such communication may be through an input/output (I/O) interface 22. Also, the terminal 12 may communicate with one or more networks (e.g., a Local Area Network (LAN), Wide Area Network (WAN), and/or a public Network such as the internet) via the Network adapter 20. As shown, the network adapter 20 communicates with the other modules of the terminal 12 via the bus 18. It should be understood that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the terminal 12, including but not limited to: microcode, device drivers, Redundant processing units, external disk drive Arrays, disk array (RAID) systems, tape drives, and data backup storage systems, to name a few.
The processor 16 executes various functional applications and data processing by executing programs stored in the memory 28, for example, implementing the processing method of image data provided by the above embodiment of the present invention, the method includes:
acquiring image data of the image acquisition equipment through the total platform increment, generating an index value based on a first preset field in the image data, and issuing the image data and the index value to a sub-center corresponding to a second preset field in the image data;
and the image data and the index value issued by the main platform are stored in a correlated way through at least one sub-center, and the image data corresponding to the target index value is returned to the user terminal in response to a first query request which is sent by the user terminal and corresponds to the target index value.
Of course, those skilled in the art can understand that the processor can also implement the technical solution of the method for processing image data provided in any embodiment of the present invention.
EXAMPLE seven
The seventh embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, for example, implements the method for processing image data provided by the foregoing embodiment of the present invention, and the method includes:
acquiring image data of the image acquisition equipment through the total platform increment, generating an index value based on a first preset field in the image data, and issuing the image data and the index value to a sub-center corresponding to a second preset field in the image data;
and the image data and the index value issued by the main platform are stored in a correlated way through at least one sub-center, and the image data corresponding to the target index value is returned to the user terminal in response to a first query request which is sent by the user terminal and corresponds to the target index value.
Of course, the computer program stored on the computer-readable storage medium according to the embodiments of the present invention is not limited to the above method requests, and may also execute the method for processing the image data according to any embodiment of the present invention.
Computer storage media for embodiments of the invention may employ any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor method, or device, or any combination thereof. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with a method, or device for which execution is requested.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with a method, or device for execution by a request.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out requests for the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, or the like, as well as conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user-side computer, partly on the user-side computer, as a stand-alone software package, partly on the user-side computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments illustrated herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. A system for processing image data, comprising:
the system comprises a main platform, a sub-center and a plurality of sub-centers, wherein the main platform is used for obtaining image data of image acquisition equipment in an incremental mode, generating an index value based on a first preset field in the image data and issuing the image data and the index value to the sub-center corresponding to a second preset field in the image data;
and the sub-center is used for storing the image data and the index value issued by the main platform in an associated manner, responding to a first query request which is sent by a user side and corresponds to a target index value, and returning the image data corresponding to the target index value to the user side.
2. The system of claim 1, wherein the user side comprises a patient side;
the branch center is further used for feeding back a storage address to the main platform when the image data and the index value corresponding to the patient end are stored, so that a query code is generated through the main platform according to the storage address and is issued to the corresponding patient end;
correspondingly, the patient side is used for sending a first query request to the corresponding subcenter according to the received query code.
3. The system of claim 2, wherein the overall platform is further configured to store the image data and the index value;
the patient side is further configured to verify the integrity of the image data returned by the subcenter, and send a second query request corresponding to the target index value to the main platform when the verification fails, so that the main platform returns the image data corresponding to the second query request;
and summarizing the image data returned by the branch centers and the image data returned by the main platform, and displaying a summarizing result.
4. The system of claim 1, wherein the user side comprises a physician side;
the general platform is further configured to receive a query condition of the doctor end, generate a target index value according to the query condition, and return the target index value and the sub-center corresponding to the target index value to the doctor end, so that the doctor end sends a first query request to the sub-center corresponding to the target index value.
5. The system of claim 4, wherein the overall platform is further configured to store the image data and the index value;
the doctor end is further configured to send the first query request to the main platform when the query according to the first query request fails, so that the main platform returns image data corresponding to the first query request, and displays the received image data.
6. The system of claim 1, wherein the overall platform is further configured to:
when the image data acquired in the increment mode belong to a preset type, generating an index value based on a first preset field in the image data and a type field of the preset type, and issuing the image data and the index value to a sub-center corresponding to the preset type.
7. The system according to any of claims 1-6, wherein the overall platform is configured to generate a hash index value based on a first predetermined field in the image data.
8. A method for processing image data, comprising:
acquiring image data of image acquisition equipment through a total platform increment, generating an index value based on a first preset field in the image data, and issuing the image data and the index value to a sub-center corresponding to a second preset field in the image data;
and storing the image data and the index value issued by the main platform in an associated manner through at least one sub-center, responding to a first query request which is sent by a user side and corresponds to a target index value, and returning the image data corresponding to the target index value to the user side.
9. An electronic terminal comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method for processing image data as claimed in claim 8 when executing the program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements the method of processing image data as claimed in claim 8.
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