CN115834650A - DICOM object storage remote query retrieval system and use method - Google Patents

DICOM object storage remote query retrieval system and use method Download PDF

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CN115834650A
CN115834650A CN202211597445.3A CN202211597445A CN115834650A CN 115834650 A CN115834650 A CN 115834650A CN 202211597445 A CN202211597445 A CN 202211597445A CN 115834650 A CN115834650 A CN 115834650A
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苟晨阳
侯越瀚
龚贞玉
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China Telecom Wanwei Information Technology Co Ltd
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Abstract

The invention relates to the technical field of data lookup, in particular to a highly-available DICOM object storage remote query retrieval system and a highly-available DICOM object storage remote query retrieval method. The system comprises a front-end module, a central service registration module, a cloud service inquiry and filing module, a full-text retrieval module, a log recording module and a system monitoring module; the front module is arranged at a hospital end and realizes the interactive acquisition of data of an internal network and an external network of the hospital; the central service registration module is connected with the front-end module, and the cloud end is provided with a cloud service query module; the full-text retrieval module performs fuzzy matching query on the data, the cloud service query module and the full-text retrieval module provide a query function for the front-end module, and the log recording module records the record of the uplink data and the warehousing information of the full-text search library; the monitoring module monitors the front-end module, the cloud service query module and the full-text retrieval module, and performs service switching and early warning on the service downtime condition; by means of RPC, the high efficiency and reliability of data transmission of the network layer are effectively improved, local high efficiency and timeliness of whole data retrieval from the cloud are guaranteed, and a stable and reliable retrieval medium is provided for the image system in the hospital.

Description

DICOM object storage remote query retrieval system and use method
Technical Field
The invention relates to the technical field of data lookup, in particular to a highly-available DICOM object storage remote query retrieval system and a highly-available DICOM object storage remote query retrieval method.
Background
With the advent of the big data era, the number of patients in hospitals increasingly seeing a doctor year by year, the generated patient data also rises sharply, the volume of the image data is particularly obvious, the image data of the patients is reserved for at least 15 years according to the national regulations, the huge volume of the data increases the difficulty and labor cost of hospital information department maintenance, the safety and reliability of the data become problems to be solved urgently, a new solution is provided for the hospitals due to the advent of the cloud computing era, the image data in the hospitals is gradually converted from local storage into extensible storage object sources such as cloud storage or object storage, the reliability, the safety and the data backup capability of the image data are greatly guaranteed in a clouding mode, and the reliability and the timeliness of data callback are difficult to guarantee due to the fact that an in-hospital PACS system supports online loading and offline loading of the local data, and the data in the cloud becomes difficult to change.
Disclosure of Invention
The method and the system aim to solve the problems that a hospital internal system is difficult to retrieve cloud image storage data, retrieval rate is difficult to guarantee, network transmission is unstable, network consumption flow bandwidth is too high and the like, realize seamless connection with image loading of the hospital internal system, provide high-availability remote image retrieval capability, realize an image diagnosis function without perception of a doctor, and improve the information integration sharing level of a hospital.
A DICOM object storage remote query retrieval system comprises a front-end module, a central service registration module, a cloud service query filing module, a full-text retrieval module, a log recording module and a system monitoring module; the front module is arranged at a hospital end and realizes the interactive acquisition of data of an internal network and an external network of the hospital; the central service registration module is connected with the front-end module, and the cloud end is provided with a cloud service query module; the full-text retrieval module carries out fuzzy matching query on the data, the cloud service query module and the full-text retrieval module provide a query function for the front-end module, and the log recording module records the record of uplink data and the warehousing information of the full-text search library; the monitoring module monitors the front-end module, the cloud service query module and the full-text retrieval module, and performs service switching and early warning on the service downtime condition;
a front-end module is deployed at a hospital data end, PACS communication parameters are adopted, the communication parameters comprise equipment Aettle, an interface port and an address IP, and the PACS sends filing history data to the front-end module; deploying a central service registration module in a cloud center, adopting a Zookeeper cluster mode, and automatically registering information of related function modules such as query and review on the central registration after the central service registration module finishes deployment and starts a cloud query filing service;
the cloud inquiry filing service is constructed by adopting a Springboot framework, a redis database and a MariadB database management system, a plurality of inquiry filing modules are deployed on different cloud intranet nodes, and after deployment is completed, the plurality of inquiry filing modules can be automatically registered on a central registration module; after the service registration is finished and the front module is started, the center registration service can be automatically subscribed, and the center registration service returns all recorded query callback function list to the front module.
The front-end module generates an image by adopting PACS communication parameters, during the processes of receiving data and analyzing the data, the inspection information studio, the sequence information Series and the image information instant of the image data are analyzed, the data are cached to a Redis database, after the single inspection and the receiving are completed, mysql data persistence processing is carried out on the analyzed index information, after the data are received, the data receiving state is changed, then file uploading is triggered, the file uploading authority is obtained through an authentication key, the data are RSA symmetrically encrypted and uploaded to a cloud service query module for storage; the system monitoring module calls data of the front module and the cloud query module, monitors the service performance of the front module and the data amount stored in the cloud object, and sends the data to the log recording module after the data are collected.
A usage method of DICOM object storage remote query retrieval system includes the following steps: a stand-alone mode remote inquiry and retrieval mode, wherein a PACS (picture archiving and communication system) sends image data StoreSCP to a front-end module in an image dicom communication standard mode, the front-end module locally files data information, copies the data to a cloud service inquiry and archiving module, the cloud service inquiry and archiving module stores the data to a cloud object for storage after the integrity of the complete data is checked, a database finishes the recording of the image data information, the PACS inquiry function is triggered after the image inquiry is carried out, the PACS inquiry can carry out C-Find on the parameters carried by the front-end module, a responder confirms the returned result according to the inquiry parameters according to the attribute required by a request message party, the inquiry result of the responder is sent and finished, the state of the last message is changed to be successful, the front-end module can be preferentially matched with whether the check information exists locally, the responder result is directly returned, if the check information exists, a service list provided by a central registration module is used for filing, an RPC direct callback cloud service inquiry module is started, and the result is returned to the PACS module;
after image callback is carried out, the PACS triggers a cloud service inquiry filing module, the PACS can assist the brought parameters to carry out callback request C-Move/retrieve on a front module, the front module can be preferentially matched with whether the inspection example exists locally or not, the inspection image example is directly returned after the inspection example exists, if the inspection example does not exist, a service list provided by a center registration module is used, an RPC direct callback cloud service inquiry filing module is started, the image is retrieved from object storage through a database and returned to the front module, and the front module returns to the PACS system.
In the remote retrieval mode under the cluster mode, query and callback under the cluster mode are consistent with a single machine mode, when a user initiates query or callback under the cluster mode, the query passes through a front-end module, the front-end module finds out a plurality of available service nodes through a central registration module, a service node is obtained according to load matching of the central registration module, the front-end module initiates RPC callback, stable Socket communication connection is established with a cloud service query filing module, the cloud query module selects a query load node through a load mechanism, a full-text center retrieves the searched information according to query parameters, the query service module retrieves image examples from a cloud storage and returns the image examples to a Socket end of the front-end module after obtaining the retrieval information, and the front-end module returns the image examples to a pacs query module again.
The invention has the beneficial effects that: the utility model provides 2 kinds of different long-range retrieval inquiry modes, wherein the unit mode is taken into account swiftly, factor such as high efficiency, safety, low-cost to the long-range retrieval of central hospital data, and under the prerequisite that satisfies the retrieval demand, it provides high efficiency, convenient retrieval mode to use the RPC communication mode of registering discovery service use. The method is suitable for millions of data transmission and inquiry. In the cluster mode, a high-availability cluster scheme is provided for a large-scale three-in-one hospital, and the cluster scheme is suitable for large-data-volume storage, high-concurrency query and massive data retrieval and is suitable for tens of millions of data transmission query. On the basis of meeting the retrieval requirement, a service load and high-availability solution is provided, and a high-availability retrieval scheme is provided for remote retrieval of mass data. The digital image data is seriously fragmented, the data information level is more, the number of image instances is high, in a single inspection, the number of data units at least exceeds one hundred, and the data size is at least hundred million, so that the high efficiency and the reliability of data transmission of a network layer are effectively improved by adopting an RPC mode, the local high efficiency and timeliness of the whole data from a cloud retrieval meeting are ensured, and a stable and reliable retrieval medium is provided for an image system in a hospital.
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FIG. 1 is a schematic diagram of a remote image retrieval system;
FIG. 2 is a schematic diagram of a single-mode image remote retrieval system;
FIG. 3 is a schematic diagram of a remote image retrieval process in a single-machine mode;
FIG. 4 is a schematic diagram of RPC connection Socket communication;
FIG. 5 is a schematic diagram of a cluster mode image remote retrieval system module;
FIG. 6 is a schematic diagram illustrating a remote image retrieval process in cluster mode.
Detailed Description
A DICOM object storage remote query retrieval system is characterized by comprising a front-end module, a central service registration module, a cloud service query filing module, a full-text retrieval module, a log recording module and a system monitoring module; the front module is arranged at a hospital end and realizes the interactive acquisition of data of an internal network and an external network of the hospital; the central service registration module is connected with the front-end module, and the cloud end is provided with a cloud service query module; the full-text retrieval module performs fuzzy matching query on the data, the cloud service query module and the full-text retrieval module provide a query function for the front-end module, and the log recording module records the record of the uplink data and the warehousing information of the full-text search library; the monitoring module monitors the front-end module, the cloud service query module and the full-text retrieval module, and performs service switching and early warning on the service downtime condition;
deploying a front module at a hospital data end, adopting PACS communication parameters which comprise equipment Aettle, an interface port and an address IP, and sending filing historical data to the front module by the PACS; deploying a central service registration module in a cloud center, adopting a Zookeeper cluster mode, and automatically registering information of related function modules such as query and review on the central registration after the central service registration module finishes deployment and starts a cloud query filing service;
the cloud inquiry filing service is constructed by adopting a Springboot framework, a redis database and a MariadB database management system, a plurality of inquiry filing modules are deployed on different cloud intranet nodes, and after deployment is completed, the plurality of inquiry filing modules can be automatically registered on a central registration module; after the service registration is completed and the front module is started, the center registration service can be automatically subscribed, and the center registration service returns all recorded query callback function list to the front module.
The front-end module generates an image by adopting PACS communication parameters, during the processes of receiving data and analyzing the data, the inspection information studio, the sequence information Series and the image information instant of the image data are analyzed, the data are cached to a Redis database, after the single inspection and the receiving are completed, mysql data persistence processing is carried out on the analyzed index information, after the data are received, the data receiving state is changed, then file uploading is triggered, the file uploading authority is obtained through an authentication key, the data are RSA symmetrically encrypted and uploaded to a cloud service query module for storage; the system monitoring module calls data of the front module and the cloud query module, monitors the service performance of the front module and the data amount stored in the cloud object, and sends the data to the log recording module after the data are collected.
A usage method of DICOM object storage remote query retrieval system includes the following steps: a stand-alone mode remote inquiry and retrieval mode, wherein a PACS (picture archiving and communication system) sends image data StoreSCP to a front-end module in an image dicom communication standard mode, the front-end module locally files data information, copies the data to a cloud service inquiry and archiving module, the cloud service inquiry and archiving module stores the data to a cloud object for storage after the integrity of the complete data is checked, a database finishes the recording of the image data information, the PACS inquiry function is triggered after the image inquiry is carried out, the PACS inquiry can carry out C-Find on the parameters carried by the front-end module, a responder confirms the returned result according to the inquiry parameters according to the attribute required by a request message party, the inquiry result of the responder is sent and finished, the state of the last message is changed to be successful, the front-end module can be preferentially matched with whether the check information exists locally, the responder result is directly returned, if the check information exists, a service list provided by a central registration module is used for filing, an RPC direct callback cloud service inquiry module is started, and the result is returned to the PACS module;
after image callback is carried out, the PACS triggers a cloud service inquiry and filing module, the PACS can cooperate with parameters to carry out callback request C-Move/retrieve on a front module, the front module can be preferentially matched with whether a local inspection example exists or not, the image example is directly returned to be inspected after the inspection example exists, if the inspection example does not exist, a service list provided by a central registration module is used, the RPC direct callback cloud service inquiry and filing module is started, the image is retrieved from object storage through a database and returned to the front module, and the front module returns to the PACS system.
The remote retrieval method comprises the steps that in a remote retrieval mode in a cluster mode, query and callback are consistent with a single machine mode, when a user initiates query or callback in the cluster mode, the query passes through a front-end module, the front-end module finds a plurality of available service nodes through a central registration module, a service node is obtained according to load matching of the central registration module, the front-end module initiates RPC callback, stable Socket communication connection is established with a cloud service query filing module, the cloud query module selects a query load node through a load mechanism, a full-text center retrieves the retrieved information according to query parameters, the query service module pulls an image example from a cloud storage and returns the image example to a Socket end of the front-end module after obtaining the retrieved information, and the front-end module returns the image example to a pacs query module again.
Interpretation of terms:
DICOM: DICOM (Digital Imaging and Communications in Medicine), which is an international standard for medical images and related information, is an international standard (ISO 12052) for medical images and related information. It defines a medical image format that can be used for data exchange with a quality that meets clinical needs.
PACS System is an abbreviation of Picture Archiving and Communication Systems, meaning image Archiving and Communication Systems. The system is applied to a hospital image department, and mainly aims to store various medical images (including images generated by equipment such as nuclear magnetism, CT, ultrasound, various X-ray machines, various infrared instruments, microscopes and the like) generated in daily life in a digital mode through various interfaces (analog, DICOM and network), can be quickly called back for use under certain authorization when needed, and is added with auxiliary diagnosis management functions.
RPC (Remote Procedure Call) -a protocol that requests services from Remote computer programs over a network without knowledge of the underlying network technology. The RPC protocol assumes the existence of some transport protocol, such as TCP or UDP, for carrying information data between communication procedures. In the OSI network communication model, RPC spans the transport and application layers. RPC makes it easier to develop applications including network distributed multiprogrammers. A
Socket two programs on the network realize data exchange through a bidirectional communication connection, and one end of the connection is called a Socket.
Redis, an open source, high efficiency memory-type data storage server that can be used as a database, cache, and message queue agent.
Zookeeper is a distributed, open source distributed application coordination service, which is an implementation of an open source in Chubby of Google.
Dubbo is a high-performance and excellent service framework sourced by the company Alibarba, so that the application can realize the output and input functions of the service through high-performance RPC and can be seamlessly integrated with the Spring framework.
ELK is an abbreviation for three open source software, each representing: elasticsearch, logstack, kibana, all of which are open source software.
Spring Boot is a framework for simplifying Spring development.
MariadB: the mariad db database management system is a branch of MySQL.
Docker is an open source application container engine, so that developers can package their applications and dependency packages into a portable container and then distribute the portable container to any popular Linux machine, and virtualization can be realized. The containers are fully sandboxed without any interface between each other.
The service operation flow of the whole system is described in detail:
Figure DEST_PATH_IMAGE001
the method comprises the steps that a front-end module and a PACS system generate new image images, data are automatically forwarded to a gateway data system in a hospital through connection communication established in the steps, the gateway system finishes the data receiving and data analyzing processes, in the data receiving process, the main analyzing mode is that in one checking and receiving process, image data are analyzed, checking information (Study), sequence information (Series) and image information (Instance) of necessary information of some patients are obtained mainly through reading DICOM Tag information of files, a single check is cached in a Redis database, and mysql data persistence is carried out on the analyzed index information only after the single checking and receiving process is finished. After data reception is completed, the data receiving state is changed, file uploading is triggered, file uploading permission is obtained through an authentication key, then one check is encrypted, RSA symmetric encryption is adopted as an encryption mode and uploaded to a cloud storage source, the RSA algorithm is an international standard algorithm, belongs to one of mainstream algorithms, is wide in application and wide in compatibility, can be suitable for various different systems, and is not prone to restriction.
Figure 816601DEST_PATH_IMAGE002
A central service registration module, the registration center acts like a transfer station and provides the function according to the callThe name finds the address of the remote service. The system comprises a registration center, a server and a client, wherein the server provides registration service for the registration center, the registration center provides acquisition service for the client, and the client provides calling service for the server.
Figure DEST_PATH_IMAGE003
And the system monitoring module is responsible for counting the calling of the front-end processor module and the calling of the cloud query module, summarizing the calling and sending the calling to the log recording module, displaying the unified report, and mainly monitoring the service performance of the front-end processor and the data amount stored in the cloud object. The method mainly adopts the following steps: microservice, redis, socket. Microservices utilize computing resources more efficiently than traditional applications, and thus, are faster and easily updated in addition to the developers simply deploying computing resources for additional components. Redis supports multiple data types, persistent storage, good performance, pub/sub, key expiration policies, transactions, supports multiple DBs, and the like. socket is a byte level for packaging transmission data of a TCP/IP protocol, the transmission data can be self-defined, the data volume is small, the data transmission time is short, the performance is high, the socket is suitable for information real-time interaction between a client and a server, the socket can be encrypted, and the data security is high.
Figure 248588DEST_PATH_IMAGE004
The cloud service inquiry and filing module synchronizes the generated index information to the cloud control system after uploading of the image data is completed, and the cloud control system organizes and files the data so as to complete cloud storage and index filing of the image data. The user obtains the service list information returned by the subscription module through registering the module with the central service, and the RPC communication mode is adopted to retrieve the cloud service query module, and the cloud service query module obtains a result from the database or retrieves the result from the full-text center according to the query parameters.
Figure DEST_PATH_IMAGE005
Log recording moduleAnd recording the retrieved state information and data uploading information, and transmitting all the information into a full-text retrieval module for backtracking and positioning the fault and partial information. Compared with the traditional log processing scheme, the ELK distributed real-time file storage can store each field into an index, so that the field can be retrieved to a distributed search engine for real-time analysis, and the ELK distributed real-time file storage can be expanded to hundreds of servers and process PB-level structured or unstructured data. The method can also be operated in a single PC to support a plug-in mechanism, a word segmentation plug-in, a synchronization plug-in, a Hadoop plug-in, a visual plug-in and the like.
The corresponding system tuning scheme is now given for the following 2 scenarios:
in the scheme 1, image data of a hospital is in a million level, the cloud retrieval and cross-region image diagnosis sharing of data of a single hospital are met, and the data is required to have reliability and retrieval stability;
scheme 2 hospital image data is at the ten million level or more, satisfies regional level's image data retrieval and data retrieval between the region, requires that the data have reliability, retrieval stability, data integrality.
Remote retrieval mechanism in single machine mode
The mode adopts a cloud single-case database mode, the central registration service module adopts a single-case mode, the mode is suitable for the condition that the image data volume of the hospital is in the million level, and a reliable retrieval mechanism is provided for medium and small hospitals
The retrieval mechanism among the main modules is as follows:
the hospital PACS system sends an image data storeSCP (a mode that a DICOM communication standard mode is sent to a server image by a client) to the front-end module through an image DICOM communication standard mode, the front-end module locally carries out data information archiving and copies data to a cloud service query archiving module, the archiving module stores the data to a cloud object for storage after the integrity of the complete data is checked, the database finishes the recording of the image data information, and the recording information of the database is divided into the following 3 levels:
Figure 14943DEST_PATH_IMAGE006
: patient informationInformation level, record some basic information of the patient (patient name/age/sex/patient identification number obtained as follows)
Check information level, record check information (check number/check identification number/check date/device type obtained as follows)
C, sequence information level, recording different shooting part information of the image (sequence ID/mechanism information/sequence description obtained by the following chart)
Image instance level, recording image frame information (image serial number/image attribute obtained from the following images);
when a doctor inquires images, a PACS inquiry module is triggered, so that the PACS inquiry can carry out C-Find on parameters carried by a front-end module (a request message party contains attributes to be inquired, a response party confirms returned results according to the inquiry parameters, the inquiry results of the response party are sent completely, the state of the last message is changed to be successful, the front-end module can preferentially match whether the check information exists locally, the response results are directly returned, if the check information does not exist, an RPC is started to directly call back the inquiry module at the cloud end through a service list provided by a central registration module, and the results are returned to the PACS module.
When a doctor carries out image callback, the PACS triggers a callback module, so that the PACS can cooperate with parameters to carry out callback request C-Move/retrieve on a front module (the request mode is similar to that of C-Find, and the C-Store is carried once to return an image instance), the front module can preferentially match whether the check instance exists locally, the check image instance directly returns after the check instance exists, if the check instance does not exist, the callback module of the RPC direct callback cloud is started through a service list provided by a central registration module, the image is retrieved from an object storage and returned to the front module through a database, and the front module returns to the PACS system.
Under this mode, zookeeper has been used as central registration subassembly, and the front end module uses cache Redis to provide the high efficiency of recent data query, and after data exceeded the live time, leading module carries out the proofreading with high in the clouds inquiry module, accomplishes the data clearance outside the live time after the proofreading, guarantees that the cache data size is certain, satisfies the high efficiency of recent data query. In the mode, efficient and stable RPC calling logic is realized by using secondary packaging of the Dubbo assembly, the most critical core point of calling is completed, the time consumption of network connection is reduced, and the condition of unstable network is avoided.
Remote retrieval mechanism in cluster mode
The centralized registration service module clustering and the cloud inquiry/filing module clustering are adopted in the mode, the method is suitable for regional hospitals, the hospital data volume is above ten million levels, a high-reliability remote retrieval mechanism is provided for large-scale third-level hospitals, the remote retrieval service is ensured to be continuously, stably and stably available, the millisecond-level inquiry capability is provided, and the second-level image instance response is provided.
The query and callback of the cluster mode are similar to those of a stand-alone mode, when a user initiates query or callback in the cluster mode, the query passes through a front-end processor module, the front-end processor module finds a plurality of available service nodes through a central registration module, a callback method is obtained according to a load strategy of the central registration module, the front-end processor module initiates RPC (remote procedure call) callback and establishes stable Socket communication connection with a cloud service query filing module, the cloud query module selects a query load node through a load mechanism, a full-text center retrieves the retrieved information according to query parameters, the query service module retrieves the retrieved information, and then the image instance is pulled from a cloud storage and returned to a Socket end of the front-end processor module, and the front-end processor module returns to a pacs query module again.
Figure 534786DEST_PATH_IMAGE008
。
Compared with a single machine mode, the cluster mode is realized by adopting a multi-section load automatic switching mode at a central registration module and a cloud inquiry/filing module, even if service faults of a registration node or an inquiry node occur, the automatic switching mode can be automatically switched to a normal node, the most important module reliability of the whole remote retrieval inquiry is ensured, the retrieval of background data is replaced from a database to full-text retrieval, the mode is particularly suitable for the query of mass data, the full-text retrieval is realized by adopting ELK, the reliability of data query is ensured, the real-time updating of data can be realized, the full-text retrieval module is continuously gathered through a log module, the statistics and fault analysis positioning of data diversity are realized by utilizing the ELK, and the reliability and the stability of the whole remote retrieval system are greatly ensured as shown in the table.
During the use, place a front-end processor in hospital side, the front-end processor is located the buffer of hospital intranet and internet, and front-end processor hardware configuration requires as follows:
CPU: Intel(R) Core(TM) i5-7300U CPU @ 2.60GHz
memory: 4GB
Hard disk: 500G
Network: external network interconnection and internal network access
And (3) system version: centos7.2 version above
A front-end module is deployed at a front-end processor, PACS communication parameters (Aettle/port/IP) are added, and the PACS sends archiving historical data to the front-end module.
A center registration module is deployed in a cloud center, a Zookeeper cluster mode is adopted, after the center module is deployed, and after a cloud inquiry/filing service is started, information of related function modules such as inquiry and review can be automatically registered in the center registration.
The cloud inquiry/filing service is constructed by SpringBoot + redis + MariadB, a plurality of inquiry filing modules are deployed on different cloud intranet nodes, and after deployment is completed, the plurality of inquiry filing modules can be automatically registered on the central registration module.
After the service registration is completed and the front-end processor service module is started, the center registration service can be automatically subscribed, and the center registration service returns all recorded inquiry callback function list lists to the front-end processor service module.
When the PACS sends image data xx, the front-end processor module firstly caches one copy, then calls cloud inquiry/filing service in an RPC mode, after the filing service completes database level information persistence, the log recording system sends data information to the full-text retrieval module, and the full-text center performs filing processing on the data.
Referring to fig. 5, after the PACS system triggers the remote callback of the image data xx, a front-end processor module preferentially matches whether the patient information is locally available, and after the time of valid cache is hit, the basic information and the image instance information of the patient are directly returned.
When the patient information is not hit, the front-end module can acquire retrieval list information returned by a center registration service, RPC communication callback cloud inquiry/filing service is started, the cloud inquiry/filing service returns retrieval information to the cloud inquiry/filing service after retrieval of the full text retrieval module, the cloud inquiry/filing service pulls specified image data instance information from a cloud storage (object storage) and returns the image data instance information to the front-end module, and the whole image is transmitted in a stable long-connection socket communication channel, so that stability and high efficiency of data are guaranteed.
The embodiment of the invention can be used in combination with a PACS system and an imaging device of a hospital, not only can be used for independent service deployment for secondary hospitals, rural and urban health homes and community service centers with small scale, but also can be used for deployment of a hospital in the whole region, can realize callback of multiple data in the region, is simple and convenient to implement, is simple to implement, does not need intervention of developers, can meet the requirement of historical callback of multiple hospital data cloud ends and shared retrieval of images in the region, and provides a highly reliable solution for remote retrieval of images for hospitals and imaging departments.
The above description is only for the purpose of illustrating the technical solutions of the present invention and not for the purpose of limiting the same, and other modifications or equivalent substitutions made by the technical solutions of the present invention by those skilled in the art should be covered within the scope of the claims of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims (4)

1. A DICOM object storage remote query retrieval system is characterized by comprising a front-end module, a central service registration module, a cloud service query filing module, a full-text retrieval module, a log recording module and a system monitoring module; the front module is arranged at a hospital end and realizes the interactive acquisition of data of an internal network and an external network of the hospital; the central service registration module is connected with the front-end module, and the cloud end is provided with a cloud service query module; the full-text retrieval module performs fuzzy matching query on the data, the cloud service query module and the full-text retrieval module provide a query function for the front-end module, and the log recording module records the record of the uplink data and the warehousing information of the full-text search library; the monitoring module monitors the front-end module, the cloud service query module and the full-text retrieval module, and performs service switching and early warning on the service downtime condition;
a front-end module is deployed at a hospital data end, PACS communication parameters are adopted, the communication parameters comprise equipment Aettle, an interface port and an address IP, and the PACS sends filing history data to the front-end module; deploying a central service registration module in a cloud center, adopting a Zookeeper cluster mode, and automatically registering information of related function modules such as query and review on the central registration after the central service registration module finishes deployment and starts a cloud query filing service;
the cloud inquiry filing service is constructed by adopting a Springboot framework, a redis database and a MariadB database management system, a plurality of inquiry filing modules are deployed on different cloud intranet nodes, and after deployment is completed, the plurality of inquiry filing modules can be automatically registered on a central registration module; after the service registration is completed and the front module is started, the center registration service can be automatically subscribed, and the center registration service returns all recorded query callback function list to the front module.
2. The DICOM object storage remote query retrieval system as claimed in claim 1, wherein the front-end module generates image images by using PACS communication parameters, the inspection information studio, the sequence information Series and the image information Instance of the image data are analyzed in the processes of data receiving and data analyzing, the data are cached in a Redis database, mysql data persistence processing is performed on the analyzed index information after the single inspection receiving is completed, the data receiving state is changed after the data receiving is completed, then file uploading is triggered, the file uploading authority is obtained through an authentication key, RSA symmetric encryption is performed on the data, and the data are uploaded to the cloud service query module for storage; the system monitoring module calls data of the front module and the cloud query module, monitors the service performance of the front module and the data amount stored in the cloud object, and sends the data to the log recording module after the data are collected.
3. The method of claim 1, further comprising the steps of: a stand-alone mode remote inquiry and retrieval mode, wherein a PACS (picture archiving and communication system) sends image data StoreSCP to a front-end module in an image dicom communication standard mode, the front-end module locally files data information, copies the data to a cloud service inquiry and archiving module, the cloud service inquiry and archiving module stores the data to a cloud object for storage after the integrity of the complete data is checked, a database finishes the recording of the image data information, the PACS inquiry function is triggered after the image inquiry is carried out, the PACS inquiry can carry out C-Find on the parameters carried by the front-end module, a responder confirms the returned result according to the inquiry parameters according to the attribute required by a request message party, the inquiry result of the responder is sent and finished, the state of the last message is changed to be successful, the front-end module can be preferentially matched with whether the check information exists locally, the responder result is directly returned, if the check information exists, a service list provided by a central registration module is used for filing, an RPC direct callback cloud service inquiry module is started, and the result is returned to the PACS module;
after image callback is carried out, the PACS triggers a cloud service inquiry and filing module, the PACS can cooperate with parameters to carry out callback request C-Move/retrieve on a front module, the front module can be preferentially matched with whether a local inspection example exists or not, the image example is directly returned to be inspected after the inspection example exists, if the inspection example does not exist, a service list provided by a central registration module is used, the RPC direct callback cloud service inquiry and filing module is started, the image is retrieved from object storage through a database and returned to the front module, and the front module returns to the PACS system.
4. The method of claim 3, further comprising the steps of: the remote retrieval method comprises the steps that in a remote retrieval mode in a cluster mode, query and callback are consistent with a single machine mode, when a user initiates query or callback in the cluster mode, the query passes through a front-end module, the front-end module finds a plurality of available service nodes through a central registration module, a service node is obtained according to load matching of the central registration module, the front-end module initiates RPC callback, stable Socket communication connection is established with a cloud service query filing module, the cloud query module selects a query load node through a load mechanism, a full-text center retrieves the retrieved information according to query parameters, the query service module pulls an image example from a cloud storage and returns the image example to a Socket end of the front-end module after obtaining the retrieved information, and the front-end module returns the image example to a pacs query module again.
CN202211597445.3A 2022-12-14 2022-12-14 DICOM object storage remote query retrieval system and use method Pending CN115834650A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117174260A (en) * 2023-11-02 2023-12-05 四川省肿瘤医院 Medical image data management system and data analysis method

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117174260A (en) * 2023-11-02 2023-12-05 四川省肿瘤医院 Medical image data management system and data analysis method
CN117174260B (en) * 2023-11-02 2024-01-30 四川省肿瘤医院 Medical image data management system and data analysis method

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