CN110335667A - Medical image management method, device, system and storage medium - Google Patents
Medical image management method, device, system and storage medium Download PDFInfo
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- CN110335667A CN110335667A CN201910426710.3A CN201910426710A CN110335667A CN 110335667 A CN110335667 A CN 110335667A CN 201910426710 A CN201910426710 A CN 201910426710A CN 110335667 A CN110335667 A CN 110335667A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/53—Querying
- G06F16/535—Filtering based on additional data, e.g. user or group profiles
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H30/00—ICT specially adapted for the handling or processing of medical images
- G16H30/20—ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
Abstract
The present invention relates to field of artificial intelligence, providing a kind of medical image management method, device, system and storage medium, the medical image management method includes: the effective medical image inquiry request for obtaining operation user and sending；Target medical image is obtained from image database according to effective medical image inquiry request；The corresponding DICOM format document memory of target medical image is compared with default memory, and artificial intelligence end is sent for target medical image according to comparison result and carries out image analysing computer processing；The first object file and the second file destination of the DICOM format that artificial intelligent end response image analysing computer processing result returns are received, and first object file and the second file destination are fed back into operation user.Technical solution of the present invention realizes the integrated of the end PACS and the end AI, avoid operation user the end PACS using when also need to log in the process at the end AI, to effectively improve the working efficiency of operation user.
Description
Technical field
The present invention relates to field of artificial intelligence more particularly to a kind of medical image management method, device, system and deposit
Storage media
Background technique
Currently, image archiving and communication system (picture archiving and communication systems,
PACS the important system in hospital image department) is mainly applied, assist user in operation medical image, with the development of science and technology,
Technology has applied in medical field artificial intelligence (Artificial Intelligence, AI), wherein there is image AI
Assistant diagnosis system, the system can help user to medical image carry out AI analysis, for user check AI analyze as a result, but by
It is provided from PACS system by different manufacturers in the system, the two faces integration problem, causes user in PACS system operation
AI analysis can not directly be consulted as a result, reducing user job efficiency.
Summary of the invention
The embodiment of the present invention provides a kind of medical image management method, device, system and storage medium, to solve the end PACS
The problem of can not being integrated with the end AI, reducing user job efficiency.
The embodiment of the present invention provides a kind of medical image management method, the following step executed including image archiving and communication ends
It is rapid:
Obtain effective medical image inquiry request that operation user sends；
Target medical image is obtained from image database according to effective medical image inquiry request；
The corresponding DICOM format document memory of the target medical image is compared with default memory, and according to than
Relatively result sends artificial intelligence end for the target medical image and carries out image analysing computer processing, wherein the target medicine shadow
As including the DICOM format document memory；
Receive the DICOM format that artificial intelligence end response image analysing computer processing result returns first object file and
Second file destination, and the first object file and second file destination are fed back into operation user.
The embodiment of the present invention provides a kind of medical image management method, the following steps executed including artificial intelligence end:
Receive the target medical image that image archiving and communication ends in medical image management system are sent；
Presupposition analysis port is sent by the target medical image, is cured by target described in the presupposition analysis port
It learns the corresponding parser of image and carries out image analysing computer processing, obtain the Study document of XML format or JSON format；
Conversion process is carried out to the Study document of the XML format or JSON format, obtains the first mesh of DICOM format
Mark file and the second file destination；
The shadow in the medical image management system is sent by the first object file and second file destination
As filing and communication ends.
The embodiment of the present invention provides a kind of medical image managing device, including image archiving and communication ends, image archiving and
Communication ends include:
Request module, the effective medical image inquiry request sent for obtaining operation user；
Image acquiring module, for obtaining target doctor from image database according to effective medical image inquiry request
Learn image；
First sending module is used for the corresponding DICOM format document memory of the target medical image and default memory
It is compared, and artificial intelligence end is sent for the target medical image according to comparison result and carries out image analysing computer processing,
In, the target medical image includes the DICOM format document memory；
First receiving module, the DICOM lattice returned for receiving the artificial intelligence end response image analysing computer processing result
The first object file and the second file destination of formula, and the first object file and second file destination are fed back into behaviour
Make user.
The embodiment of the present invention provides a kind of medical image managing device, including artificial intelligence end, and artificial intelligence end includes:
Second receiving module, for receiving the image archiving in medical image management system and the target doctor of communication ends transmission
Learn image；
Analysis module passes through the presupposition analysis end for sending presupposition analysis port for the target medical image
The corresponding parser of target medical image described in mouthful carries out image analysing computer processing, obtains XML format or JSON format
Study document；
Conversion module carries out conversion process for the Study document to the XML format or JSON format, obtains
The first object file and the second file destination of DICOM format；
Second sending module, for sending the medicine shadow for the first object file and second file destination
As the image archiving and communication ends in management system.
A kind of medical image management system, including image archiving and communication ends and connect with the image archiving and communication ends
The artificial intelligence end connect；
The image archiving and communication ends include first memory and first processor, are stored in the first memory
Medical image management program, the medical image management program realize above-mentioned medical image pipe when being executed by the first processor
The step of reason method；
The artificial intelligence end includes second memory and second processor, and medicine shadow is stored in the second memory
As management program, the medical image management program realizes above-mentioned medical image management method when being executed by the second processor
The step of.
A kind of computer readable storage medium, the computer-readable recording medium storage have computer program, feature
It is, the computer program realizes above-mentioned medical image management method when being executed by processor the step of, alternatively, the calculating
Machine program realizes the step of above-mentioned medical image management method when being executed by processor.
Above-mentioned medical image management method, device, system and storage medium, image archiving and communication ends pass through according to effectively
Medical image inquiry request obtains target medical image, and sends artificial intelligence end for target medical image and carry out image analysing computer
Processing, artificial intelligence end handle to obtain Study document carrying out it image analysing computer after receiving template medical image, and right
Study document carries out conversion process and obtains first object file and the second file destination, finally by first object file and the second mesh
Mark file is sent to image archiving and communication ends in medical image management system, and image archiving and communication ends receive artificial
The first object file and the second file destination that intelligent end returns, and first object file and the second file destination are fed back into behaviour
Make user, to realize the integrated of the end PACS and the end AI, allows to operate user and directly check target medicine in the end PACS
The AI of image analyze as a result, avoid operation user the end PACS using when also need to log in the process at the end AI, and then improve operation
The working efficiency of user.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below by institute in the description to the embodiment of the present invention
Attached drawing to be used is needed to be briefly described, it should be apparent that, the accompanying drawings in the following description is only some implementations of the invention
Example, for those of ordinary skill in the art, without any creative labor, can also be according to these attached drawings
Obtain other attached drawings.
Fig. 1 is the process for being applied to image archiving and communication ends in medical image management method provided in an embodiment of the present invention
Figure；
Fig. 2 is the flow chart of step S1 in medical image management method provided in an embodiment of the present invention；
Fig. 3 is the flow chart for being applied to artificial intelligence end in medical image management method provided in an embodiment of the present invention；
Fig. 4 is the flow chart of step S6 in medical image management method provided in an embodiment of the present invention；
Fig. 5 is in medical image management method provided in an embodiment of the present invention in type information and algorithm identification information not phase
It is issued with situation and gives target user's flow chart handled；
Fig. 6 is the flow chart of step S7 in medical image management method provided in an embodiment of the present invention；
Fig. 7 is the signal for being applied to image archiving and communication ends in medical image managing device provided in an embodiment of the present invention
Figure；
Fig. 8 is the schematic diagram for being applied to artificial intelligence end in medical image managing device provided in an embodiment of the present invention；
Fig. 9 is the basic system block diagram of medical image management system provided in an embodiment of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are some of the embodiments of the present invention, instead of all the embodiments.Based on this hair
Embodiment in bright, every other implementation obtained by those of ordinary skill in the art without making creative efforts
Example, shall fall within the protection scope of the present invention.
Data processing method provided by the present application is applied to server-side, server-side specifically can with independent server or
The server cluster of multiple server compositions is realized.In one embodiment, as shown in Figure 1, providing a kind of medical image manager
Method includes the following steps: applied to the image archiving and communication ends in medical image management system
S1: effective medical image inquiry request that operation user sends is obtained.
In embodiments of the present invention, effective medical image inquiry request refers to the conjunction obtained by user right judgement screening
Method inquiry request.It is directly effective to this when detecting that operation user sends effective medical image inquiry request in the client
Medical image inquiry request is obtained.
S2: target medical image is obtained from image database according to effective medical image inquiry request.
Specifically, it is inquired from default Image Database according to effective medical image inquiry request and is inquired with effective medical image
Identical identification information is requested, if inquiring identification information identical with the effective medical image inquiry request, then it represents that from pre-
If inquiring relevant medical image in Image Database, the corresponding medical image of the identification information is determined as target medical image, and
Obtain the target medical image.
Wherein, default Image Database refers to dedicated for storing medical image, the corresponding identification information of medical image, medicine shadow
As corresponding type information and the corresponding DICOM format file of medical image.
Further, if not inquiring identification information identical with effective medical image inquiry request, then it represents that from default
It does not inquire relevant medical image in Image Database, and feeds back and do not inquire the prompt information of relevant medical image to user interface
On, prompt user to re-enter inquiry request.
Such as: there are the corresponding identification informations 123 of medical image A and medical image A in default Image Database, if effective medicine
Image query request is 123, due to there is identification information identical with effective medical image inquiry request 123 in default Image Database
123, then the corresponding medical image A of the identification information 123 is determined as target medical image；If effective medical image inquiry request
It is 456, due to not there is no identification information identical with effective medical image inquiry request 456 in default Image Database, then it represents that from
Relevant medical image is not inquired in default Image Database.
It should be noted that when obtaining target medical image from image database, in medical image management system
Image archiving and communication ends (Picture Archiving and Communication Systems, PACS), which will be sent, to be connected
Artificial intelligence end of the signal into medical image management system carries out signal connection foundation processing, if artificial intelligence end is when default
It is interior to receive connection signal, then connection is established with the end PACS, and feed back completion and establish connection signal into the end PACS.Wherein,
Preset time specifically can be one minute, can also be configured according to user's actual need, herein with no restrictions.
S3: the corresponding DICOM format document memory of target medical image is compared with default memory, and according to comparing
As a result artificial intelligence end is sent by target medical image and carry out image analysing computer processing, wherein target medical image includes DICOM
Formatted file memory.
In embodiments of the present invention, artificial intelligence end refers in medical image management system dedicated for target medicine
The port of image progress image analysing computer.
Specifically, the corresponding DICOM format document memory of the target medical image obtained according to step S2, pass through by
DICOM format document memory is compared with artificial intelligence end for receiving the default memory of target medical image, if DICOM
Formatted file memory is less than or equal to default memory, then the DICOM format files through network transport protocol is transferred to artificial intelligence
In the interim image store position at energy end, while transmission progress is monitored in real time.If DICOM format document memory is greater than pre-
If memory, then compression processing carried out to the memory of DICOM format file according to preset requirement, and by the DICOM after compression processing
Formatted file is transferred in the interim image store position at artificial intelligence end by the network transmission protocol.
Wherein, default memory refers in artificial intelligence end for receiving the memory of target medical image, is specifically as follows
1M can also be configured according to the actual demand of user.Preset requirement, which refers to, sets DICOM format compressing file to user
Memory range in.
It should be noted that being passed during being monitored in real time to transmission progress when monitoring DICOM format file
When being finished into, the connection with artificial intelligence end is interrupted；When monitoring the transmission failure of DICOM format file, then transmission is failed
Prompt information be sent to operation user handle.
S4: receive the DICOM format that artificial intelligent end response image analysing computer processing result returns first object file and
Second file destination, and first object file and the second file destination are fed back into operation user.
It is in embodiment in the present invention, first object file is the SR formatted file in DICOM format, the second file destination
For the GSPS formatted file in DICOM format.
Specifically, by being detected to default feedback library, when detecting that there are first object files in default processing library
When with the second file destination, indicate that artificial intelligence end has completed the image analysing computer to target medical image and tied analysis processing
Fruit is fed back, and extracts first object file and the second file destination in default processing library, and by first object file and the
Two file destinations feed back to operation user according to preset mode.
Wherein, feedback library is preset to refer to dedicated for receiving the first object file and the second mesh of artificial intelligent end feedback
Mark the database of file.
Preset mode specifically can be in the form of mail, be also possible to directly feed back operation user circle in client
On face.
In the present embodiment, the end PACS is by obtaining target medical image according to effective medical image inquiry request, and by mesh
Mark medical image is sent to artificial intelligence end and carries out image analysing computer processing, finally receives the first object text that artificial intelligent end returns
Part and the second file destination, and first object file and the second file destination are fed back into operation user, to realize the end PACS
With integrating for the end AI, operation user is allow directly to check that the AI of target medical image is analyzed as a result, avoiding in the end PACS
Operation user the end PACS using when also need to log in the process at the end AI, and then improve the working efficiency of operation user.
In one embodiment, as shown in Fig. 2, in step S1, that is, effective medical image inquiry that operation user sends is obtained
Request includes the following steps:
S11: when detecting the inquiry request of operation user, user's power of operation user is obtained from default access group
Limit.
Specifically, when detecting operation user in the inquiry request that client is sent, obtaining from pre-set user library should
The corresponding operation user id of user is operated, and by default access group, obtained identical with operation user id in default access group
The corresponding user right of legitimate user id.
Wherein, pre-set user library refers to dedicated for storage operation user and operates the database of user id.
Default access group refers to dedicated for storage legitimate user id and the corresponding user right of legitimate user id.
S12: according to user right, judge whether the inquiry request for operating user exceeds authority.
In embodiments of the present invention, user right refers to that operation user possesses the request right to inquiry request, Yong Huquan
Limit includes the corresponding all permissions request of operation user.Obtain the corresponding user right of operation user by step S11, according to
Family permission obtains the corresponding all permissions request of operation user, by the corresponding each permission of the inquiry request for operating user
Request compares, and judges whether the inquiry request for operating user exceeds authority according to comparing result.
S13: if operation user possesses the permission of inquiry request, inquiry request is determined as effective query request, and obtain
Effective query is taken to request.
In the present embodiment, the corresponding each authority request of the inquiry request for operating user is carried out according to step S12
Comparison, inquiry request is identical as authority request if it exists after comparison, then it represents that operation user possesses the inquiry request pair
The inquiry request is determined as effective query request, and extracted to effective query request by the permission answered.
It should be noted that if there are inquiry requests and authority request to be different from, then it represents that the operation user does not possess
The inquiry request is determined as invalid inquiry request, and carries out recalling place to the inquiry request by the corresponding permission of the inquiry request
Reason, which is fed back into the corresponding operation user of the inquiry request according to preset mode, prompt operation user by
It is limited to permission, corresponding inquiry request can not be accessed.
For example, it is assumed that the corresponding user right of user C is to execute inquiry request C1, if user C selects inquiry request C1,
Inquiry request C1 is determined as effective query request to be determined as inquiry request C2 if user C selects inquiry request C2
Invalid inquiry request, and inquiry request C2 is fed back into user C according to preset mode, prompt user C to be limited by permission, nothing
Method access queries request C2.
In the present embodiment, permission judgement is carried out according to user right when detecting inquiry request, judges that operating user is
The no permission for possessing inquiry request, and then determine that effective query request guarantees to look into realize to the authentication of operation user
Ask request safety, and then be capable of effectively lifting system security performance, guarantee operation user can normal use system, from
And guarantee the working efficiency of operation user.
In one embodiment, as shown in figure 3, providing a kind of medical image management method, it is applied to medical image management
Artificial intelligence end in system, includes the following steps:
S5: the target medical image that image archiving and communication ends in medical image management system are sent is received.
In embodiments of the present invention, image archiving and communication ends, which refer to, applies in medical image management system in hospital's shadow
As the system of department, main task is exactly the various medical images daily generation, including nuclear-magnetism, CT, ultrasound, various X
Ray machine, the image that the equipment such as various radar stealthy materials, frequency microscope generate, passes through various interfaces such as analog interface, DICOM interface, net
Network interface, magnanimity saves in a manner of digitized, and cracking can recall under certain authorization makes when needed
With, while increasing some auxiliary diagnosis management functions.
Specifically, by being detected to default communication pool, when detecting that there are target medical images in default communication pool
When, indicate that the transmission to target medical image is completed in image archiving and communication ends, to the target medicine shadow in default communication pool
As being received.Wherein, default communication pool refers to the target medical image sent dedicated for storage image archiving and communication ends.
S6: sending presupposition analysis port for target medical image, passes through target medical image pair in presupposition analysis port
The parser answered carries out image analysing computer processing, obtains the Study document of XML format or JSON format.
In embodiments of the present invention, image analysing computer processing refers to target medical image processing into Study document.Analysis text
Part is mainly XML format file or JSON formatted file, which is able to reflect out target medical image by analysis
Data afterwards, for example, lesions position, lesion description etc..
Specifically, presupposition analysis is sent for target medical image by hypertext transfer protocol or File Transfer Protocol
Port, identical corresponding point of algorithm identification information using identification information corresponding with target medical image in presupposition analysis port
It analyses algorithm and carries out image analysing computer processing, obtain image analysing computer treated the Study document of XML format or JSON format.
Wherein, the port that presupposition analysis port refers to dedicated for being analyzed medical image, the port include difference
The parser of type, and each type of parser has its corresponding algorithm identification information.For example, presupposition analysis port
It is middle there are the parser of CT medical image type, the corresponding algorithm identification information of the parser is " CT type ".
S7: conversion process is carried out to the Study document of XML format or JSON format, obtains the first mesh of DICOM format
Mark file and the second file destination.
In embodiments of the present invention, due to there was only digital imaging and communications in medicine (Digital Imaging and
Communications in Medicine, DICOM) formatted file is just suitable for the end PACS, and Study document is mainly XML lattice
Formula file or JSON formatted file can not be suitable for the end PACS, therefore after obtaining Study document, in order to enable Study document
Suitable for the end PACS, it is also necessary to carry out conversion process to Study document, XML format file or JSON formatted file are converted into
DICOM format file, and the DICOM format file being converted into is mainly structured report (Structure Report, SR) lattice
Formula file and gray scale soft copy show state (Grayscale softcopy presentatioin state, GSPS) format text
Part.SR type is mainly used for embodying the analysis description that target medical image obtains after analysis；GSPS type is mainly used for body
Existing target medical image obtains the mark to lesions position after analysis.
Specifically, by the way that the Study document of XML format or JSON format in step S6 to be imported into default transformation warehouse
Conversion process is carried out, the SR formatted file and GSPS formatted file of DICOM format after conversion process are obtained, SR formatted file is true
It is set to first object file, GSPS formatted file is determined as the second file destination, and by first object file and the second target
File is saved in default repository.Wherein, default transformation warehouse refer to dedicated for by Study document be converted into SR formatted file and
The processing database of GSPS formatted file.Default repository refers to dedicated for storage first object file and the second file destination
Database.
It should be noted that common DICOM file, generally can include two parts information, a part is text, such as disease
People's information checks information, facility information etc.；Another part is image, such as X-ray, ultrasonic animation, electrocardiogram and eye
Ball scanning figure etc..
But GSPS formatted file does not include image.It is mainly used to record some marks that doctor does on image, such as:
The diameter that a circle marks tumour is drawn, a broken line is drawn and marks the organ length for generating lesion, or write and in short mentioned as emphasis
Show etc..
S8: image archiving in medical image management system and logical is sent by first object file and the second file destination
Believe end.
Specifically, by being detected to default repository, when detecting that there are first object files in default repository
When with the second file destination, by the network transmission protocol that first object file and the second file destination are pre-set according to user
The image archiving and communication ends being sent in medical image management system.Wherein, the network transmission protocol specifically can be C-MOVE
Agreement can also be configured, herein with no restrictions according to the actual demand of user.
In the present embodiment, artificial intelligence end handles to obtain by carrying out image analysing computer to the target medical image received
XML format perhaps the Study document of JSON format and to the Study document of XML format or JSON format carry out conversion process obtain
To the first object file and the second file destination of DICOM format, finally first object file and the second file destination are sent
Image archiving and communication ends into medical image management system use operation to realize the integrated of the end PACS and the end AI
Family can directly check the AI analysis of target medical image as a result, operation user is avoided to go back when the end PACS uses in the end PACS
It needs to log in the process at the end AI, and then improves the working efficiency of operation user.
In one embodiment, as shown in figure 4, in step S6, i.e., by target medical image be sent to presupposition analysis port into
Row image analysing computer processing, obtains Study document and includes the following steps:
S61: by the algorithm identification information progress in the corresponding type information of target medical image and presupposition analysis port
Match.
Specifically, the corresponding type information of target medical image is obtained according to the default Image Database in step S2, by such
Type information is matched with the algorithm identification information in presupposition analysis port.
S62: if type information is identical as algorithm identification information, the corresponding parser of acquisition algorithm identification information is to mesh
Mark medical image is analyzed and processed, and obtains Study document.
Specifically, according to step S61 by the algorithm in the corresponding type information of target medical image and presupposition analysis port
Identification information is matched, when be matched to type information it is identical as algorithm identification information when, indicate presupposition analysis port in exist
To the parser that target medical image is analyzed and processed, and the algorithm identification information is obtained from presupposition analysis port and is corresponded to
Parser, target medical image is analyzed and processed using the parser, obtains analysis treated Study document.
For example, there are parser Q and its corresponding algorithm identification information being " CT type " in presupposition analysis port, exist
Target medical image A and its corresponding type information " CT type ", by type information " CT type " and algorithm identification information " CT class
Type " is matched, and since type information is identical as algorithm identification information, then obtains parser Q and using the algorithm to target
Medical image is analyzed and processed.
In the present embodiment, by the way that the corresponding type information of target medical image and algorithm identification information are carried out matched side
Formula is analyzed and processed target medical image using identical parser is matched, obtains Study document, so that realizing can
Image analysing computer processing accurately is carried out to target medical image, guarantees the subsequent accuracy that Study document is fed back to operation user,
And then guarantee the working efficiency of operation user.
In one embodiment, as shown in figure 5, after step S61, which further includes following steps:
S91: if type information and algorithm identification information be not identical, by type information target medical image corresponding with its
It is sent to target user.
In embodiments of the present invention, according to step S61 by the corresponding type information of target medical image and presupposition analysis end
Algorithm identification information in mouthful is matched, and when being matched to type information and algorithm identification information is not identical, indicates default point
Not there is no the parser being analyzed and processed to target medical image in port in analysis, type information and the type information is corresponding
Target medical image be sent to target user according to preset mode and be analyzed and processed.Wherein, target user refers to specially
The legitimate user that target medical image is analyzed and processed.
S92: the processing file of target user's feedback is obtained, and processing file is determined as Study document.
In embodiments of the present invention, processing file refers to legal by obtaining after target user's progress manual intervention processing
File, and the file format for handling file is mainly XML format or JSON format.
Specifically, by detecting to the processing file in user feedback library, when detecting processing file, mesh is indicated
The processing of the analysis to target medical image is completed in mark user, obtains the processing file and the processing file is determined as analysis text
Part.Wherein, user feedback library refers to the database of the processing file dedicated for storage target user's feedback.
In the present embodiment, the case where the corresponding type information of target medical image and algorithm identification information match fail
Under, type information and its corresponding target medical image are sent to target user and carry out artificial treatment, finally by target user
The processing file of feedback is determined as Study document, to realize in the case where type information and the failure of algorithm identification information match
It can be handled to obtain Study document by manual intervention, avoid presupposition analysis port that from can not analyzing target medical image
The case where processing, improves the treatment effeciency being analyzed and processed to target medical image, guarantees that operation user can normally receive
Study document, to improve the working efficiency of operation user.
In one embodiment, as shown in fig. 6, in step S7, i.e., conversion process is carried out to Study document, obtains first object
File and the second file destination include the following steps:
S71: the translation type of discriminance analysis file, wherein translation type includes structured report type and gray scale is soft copies
Shellfish shows Status Type.
In embodiments of the present invention, Study document is mainly converted into structure when carrying out conversion process to Study document
Change reporting format file and gray scale soft copy shows status format file, wherein the corresponding analysis of structured report format file
The translation type of file is structured report type, and gray scale soft copy shows the conversion of the corresponding Study document of status format file
Type is that gray scale soft copy shows Status Type.
Specifically, when to carry out conversion process to Study document, formatted file mark letter is obtained from preset data table
Breath, and pass through the corresponding translation type of formatted file identification information discriminance analysis file.Wherein, preset data table refers to special use
Corresponding format identification (FID) information when storing Study document and carrying out conversion process, and formatted file identification information includes structuring report
It accuses and gray scale soft copy shows that state, the corresponding Study document translation type of the formatted file identification information of structured report are knot
Structure Report Type, gray scale soft copy show that the corresponding Study document translation type of formatted file identification information of state is gray scale
Soft copy shows Status Type.
S72: if translation type is structured report type, portable document format file is generated according to Study document.
In embodiments of the present invention, the formatted file identification information according to obtained in step S71 is believed when formatted file identifies
When breath is structured report, indicating that Study document carries out the corresponding translation type of conversion process is structured report type, will point
File is analysed as report data content, and report data content is imported into default report template generation library and generates portable text
Shelves format (Portable Document Format, PDF) report file.
Wherein, report template generation library is preset to refer to dedicated for the report template generation pair by Study document according to setting
The PDF report file answered.
S73: portable document format file is imported into preset structureization report transformation warehouse and carries out conversion process, is turned
The first object file that changes that treated.
Specifically, which is imported into preset structure report by the PDF report file obtained according to step S72
It accuses in transformation warehouse and carries out conversion process, the DICOM file of the structured report type after obtaining conversion process, and by the structuring
The DICOM file of Report Type is identified as first object file.
Wherein, preset structureization report transformation warehouse refers to dedicated for PDF report file is converted into structured report class
The database of the DICOM file of type.
S74: if translation type is that gray scale soft copy shows Status Type, Study document imported into default gray scale is soft to be copied
Shellfish shows that state transformation warehouse carries out conversion process, the second file destination after obtaining conversion process.
Specifically, the formatted file identification information according to obtained in step S71, when formatted file identification information is that gray scale is soft
When copying display state, indicating that Study document carries out the corresponding translation type of conversion process is that gray scale soft copy shows state class
Study document is imported into default gray scale soft copy and shows that state transformation warehouse carries out conversion process, after obtaining conversion process by type
Gray scale soft copy shows the DICOM file of Status Type, and the gray scale soft copy is shown that the DICOM file of Status Type identifies
For the second file destination.
Wherein, it presets gray scale soft copy and shows that state transformation warehouse refers to that gray scale is soft to be copied dedicated for Study document to be converted into
Shellfish shows the database of the DICOM file of Status Type.
In the present embodiment, conversion process is carried out by the translation type of discriminance analysis file, and according to translation type, is obtained
First object file and the second file destination after conversion process, to realize the Study document conversion that will be unsuitable for the end PACS
At the first object file and the second file destination for being suitable for the end PACS, guarantee that the subsequent end PACS can accurately receive artificial intelligence
The first object file and the second file destination sent is held, to operate the accurate data of user feedback, and then improves subsequent PACS
The stability that end is integrated with the end AI.
It should be understood that the size of the serial number of each step is not meant that the order of the execution order in above-described embodiment, each process
Execution sequence should be determined by its function and internal logic, the implementation process without coping with the embodiment of the present invention constitutes any limit
It is fixed.
In one embodiment, a kind of medical image managing device is provided, the medical image managing device and above-described embodiment
Traditional Chinese medicine Image Management method corresponds.As shown in fig. 7, the image archiving and communication ends of the medical image managing device include
Request module 71, image acquiring module 72, the first sending module 73 and the first receiving module 74.Each functional module is specifically
It is bright as follows:
Request module 71, the effective medical image inquiry request sent for obtaining operation user；
Image acquiring module 72, for obtaining target medicine from image database according to effective medical image inquiry request
Image；
First sending module 73, for by the corresponding DICOM format document memory of target medical image with it is default in deposit into
Row compares, and sends artificial intelligence end for target medical image according to comparison result and carry out image analysing computer processing, wherein target
Medical image includes DICOM format document memory；
First receiving module 74 receives the of the DICOM format that artificial intelligent end response image analysing computer processing result returns
One file destination and the second file destination, and first object file and the second file destination are fed back into operation user.
Further, request module 71 includes:
Authority acquiring submodule, for obtaining the behaviour from default access group when detecting the inquiry request of operation user
Make the user right of user；
Judging submodule, for judging whether the inquiry request for operating user exceeds authority according to user right；
It determines submodule, if possessing the permission of inquiry request for operating user, inquiry request is determined as effectively looking into
Request is ask, and obtains effective query request.
Please continue to refer to Fig. 8, as shown in figure 8, the artificial intelligence end of the medical image managing device includes the second reception mould
Block 81, analysis module 82, conversion module 83 and the second sending module 84.Detailed description are as follows for each functional module:
Second receiving module 81, for receiving the image archiving in medical image management system and the target of communication ends transmission
Medical image；
Analysis module 82 passes through mesh in presupposition analysis port for sending presupposition analysis port for target medical image
It marks the corresponding parser of medical image and carries out image analysing computer processing, obtain the Study document of XML format or JSON format；
Conversion module 83 carries out conversion process for the Study document to XML format or JSON format, obtains DICOM
The first object file and the second file destination of format；
Second sending module 84, for sending medical image management system for first object file and the second file destination
In image archiving and communication ends.
Further, analysis module 82 includes:
Matched sub-block, for identifying the algorithm in the corresponding type information of target medical image and presupposition analysis port
Information is matched；
Identical submodule is matched, if identical as algorithm identification information for type information, acquisition algorithm identification information pair
The parser answered is analyzed and processed target medical image, obtains Study document.
Further, medical image managing device further include:
Not equal modules are matched, it is if not identical for type information and algorithm identification information, type information is right with its
The target medical image answered is sent to target user；
Feedback obtains module, is determined as analysis text for obtaining the processing file of target user's feedback, and by processing file
Part.
Further, conversion module 83 includes:
Identify submodule, for identification the translation type of Study document, wherein translation type includes structured report type
Status Type is shown with gray scale soft copy；
First kind submodule generates portable if being structured report type for translation type according to Study document
Formula document format file；
First transform subblock is carried out for portable document format file to be imported into preset structureization report transformation warehouse
Conversion process, the first object file after obtaining conversion process；
Second Type submodule leads Study document if being that gray scale soft copy shows Status Type for translation type
Enter to default gray scale soft copy and shows state transformation warehouse progress conversion process, the second file destination after obtaining conversion process.
Some embodiments of the present application disclose medical image management system.Referring specifically to Fig. 9, including image archiving and
Communication ends 901 and the artificial intelligence end 902 being connect with the image archiving and communication ends.
It anticipates as shown in Figure 9, the image archiving and communication ends 901 include that connection the is in communication with each other by system bus
One memory 9011, first processor 9012, network interface 9013.It should be pointed out that illustrating only in Fig. 9 with component
The image archiving and communication ends 901 of 9011-9013 can be with it should be understood that be not required for implementing all components shown
The implementation of substitution is more or less component.Wherein, those skilled in the art of the present technique are appreciated that computer equipment here
It is that one kind can be according to the instruction for being previously set or storing, the automatic equipment for carrying out numerical value calculating and/or information processing, hardware
Including but not limited to microprocessor, specific integrated circuit (Application Specific Integrated Circuit,
ASIC), programmable gate array (Field-Programmable Gate Array, FPGA), digital processing unit (Digital
Signal Processor, DSP), embedded device etc..
The image archiving and communication ends 901 can be desktop PC, notebook, palm PC and cloud server
Deng calculating equipment.The computer equipment can pass through the side such as keyboard, mouse, remote controler, touch tablet or voice-operated device with user
Formula carries out human-computer interaction.
The first memory 9011 includes at least a type of readable storage medium storing program for executing, and the readable storage medium storing program for executing includes
Flash memory, hard disk, multimedia card, card-type memory (for example, SD or DX memory etc.), random access storage device (RAM), it is static with
Machine accesses memory (SRAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), programmable
Read memory (PROM), magnetic storage, disk, CD etc..In some embodiments, the first memory 9011 can be
The internal storage unit of the image archiving and communication ends 901, such as the hard disk or memory of the image archiving and communication ends 901.
In further embodiments, the first memory 9011 is also possible to the external storage of the image archiving and communication ends 901
The plug-in type hard disk being equipped in equipment, such as the image archiving and communication ends 901, intelligent memory card (Smart Media Card,
SMC), secure digital (Secure Digital, SD) blocks, flash card (Flash Card) etc..Certainly, the first memory
9011 can also both include the internal storage unit of the image archiving and communication ends 901 or including its External memory equipment.This
In embodiment, the first memory 9011 is installed on the operation system of the image archiving and communication ends 901 commonly used in storage
System and types of applications software, such as the program code etc. of the medical image management method.In addition, the first memory 9011
It can be also used for temporarily storing the Various types of data that has exported or will export.
The first processor 9012 can be central processing unit (Central Processing in some embodiments
Unit, CPU), controller, microcontroller, microprocessor or other data processing chips.The first processor 9012 is usually used
In the overall operation for controlling the image archiving and communication ends 901.In the present embodiment, the first processor 9012 is for running
The program code or processing data stored in the first memory 9011, such as run the medical image management method
Program code.
The network interface 9013 may include radio network interface or wired network interface, which usually uses
In establishing communication link between the image archiving and communication ends 901, artificial intelligence end 902 and between other electronic equipments
It connects.
The artificial intelligence end 902 includes that connection second memory 9021, second processing are in communication with each other by system bus
Device 9022, network interface 9023.It should be pointed out that illustrating only the artificial intelligence end with component 9021-9023 in Fig. 9
902, it should be understood that it is not required for implementing all components shown, more or less groups of the implementation that can be substituted
Part.Wherein, those skilled in the art of the present technique are appreciated that computer equipment here is that one kind can be according to being previously set or deposit
The instruction of storage, the automatic equipment for carrying out numerical value calculating and/or information processing, hardware includes but is not limited to microprocessor, dedicated
Integrated circuit (Application Specific Integrated Circuit, ASIC), programmable gate array (Field-
Programmable Gate Array, FPGA), it is digital processing unit (Digital Signal Processor, DSP), embedded
Equipment etc..
The artificial intelligence end 902 can be the calculating such as desktop PC, notebook, palm PC and cloud server
Equipment.The computer equipment can be carried out with user by modes such as keyboard, mouse, remote controler, touch tablet or voice-operated devices
Human-computer interaction.
The second memory 9021 includes at least a type of readable storage medium storing program for executing, and the readable storage medium storing program for executing includes
Flash memory, hard disk, multimedia card, card-type memory (for example, SD or DX memory etc.), random access storage device (RAM), it is static with
Machine accesses memory (SRAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), programmable
Read memory (PROM), magnetic storage, disk, CD etc..In some embodiments, the second memory 9021 can be
The internal storage unit at the artificial intelligence end 902, such as the hard disk or memory of the artificial intelligent end 902.In other implementations
In example, the second memory 9021 is also possible to the External memory equipment at the artificial intelligence end 902, such as the artificial intelligence
The plug-in type hard disk being equipped on end 902, intelligent memory card (Smart Media Card, SMC), secure digital (Secure
Digital, SD) card, flash card (Flash Card) etc..Certainly, the second memory 9021 can also both include the people
The internal storage unit of work intelligent end 902 also includes its External memory equipment.In the present embodiment, the second memory 9021 is logical
It is usually used in operating system and types of applications software that storage is installed on the artificial intelligence end 902, such as the medical image pipe
The program code etc. of reason method.It has exported or has incited somebody to action in addition, the second memory 9021 can be also used for temporarily storing
The Various types of data to be exported.
The second processor 9022 can be central processing unit (Central Processing in some embodiments
Unit, CPU), controller, microcontroller, microprocessor or other data processing chips.The second processor 9022 is usually used
In the overall operation for controlling the artificial intelligence end 902.In the present embodiment, the second processor 9022 is for running described the
The program code or processing data stored in two memories 9021, such as run the program generation of the medical image management method
Code.
The network interface 9023 may include radio network interface or wired network interface, which usually uses
In establishing communication link between the artificial intelligence end 902, image archiving and communication ends 901 and between other electronic equipments
It connects.
Present invention also provides another embodiments, that is, provide a kind of computer readable storage medium, the computer
Readable storage medium storing program for executing is stored with medical image data recording program, and the medical image data recording program can be by least one
It manages device to execute, so that the step of at least one described processor executes any one of the above medical image management method.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side
Method can be realized by means of software and necessary general hardware platform, naturally it is also possible to by hardware, but in many cases
The former is more preferably embodiment.Based on this understanding, the technical solution of the application substantially in other words does the prior art
The part contributed out can be embodied in the form of software products, which is stored in a storage medium
In (such as ROM/RAM, magnetic disk, CD), including some instructions are used so that a terminal device (can be mobile phone, computer, clothes
Business device, air conditioner or the network equipment etc.) execute method described in each embodiment of the application.
Finally it should be noted that, it is clear that embodiments described above is only some embodiments of the present application, rather than
Whole embodiments gives the preferred embodiment of the application in attached drawing, but is not intended to limit the scope of the patents of the application.The application
It can realize in many different forms, on the contrary, purpose of providing these embodiments is makes to disclosure of this application
Understanding it is more thorough and comprehensive.Although the application is described in detail with reference to the foregoing embodiments, for the skill of this field
For art personnel come, it can still modify to technical solution documented by aforementioned each specific embodiment, or to it
Middle some technical characteristics carry out equivalence replacement.All equivalent structures done using present specification and accompanying drawing content, directly
Or it is used in other related technical areas indirectly, similarly within the application scope of patent protection.
Claims (10)
1. a kind of medical image management method, applied to the image archiving and communication ends in medical image management system, feature
It is, the medical image management method includes:
Obtain effective medical image inquiry request that operation user sends；
Target medical image is obtained from image database according to effective medical image inquiry request；
The corresponding DICOM format document memory of the target medical image is compared with default memory, and is tied according to comparing
Fruit sends artificial intelligence end for the target medical image and carries out image analysing computer processing, wherein the target medical image packet
Containing the DICOM format document memory；
Receive the first object file and second for the DICOM format that the artificial intelligence end response image analysing computer processing result returns
File destination, and the first object file and second file destination are fed back into operation user.
2. medical image management method as described in claim 1, which is characterized in that described to obtain the effective of operation user's transmission
The step of medical image inquiry request includes:
When detecting the inquiry request of operation user, the user right of the operation user is obtained from default access group；
According to the user right, judge whether the inquiry request of the operation user exceeds authority；
If the operation user possesses the permission of the inquiry request, the inquiry request is determined as effective query request,
And obtain the effective query request.
3. a kind of medical image management method, applied to the artificial intelligence end in medical image management system, which is characterized in that institute
Stating medical image management method includes:
Receive the target medical image that image archiving and communication ends in medical image management system are sent；
Presupposition analysis port is sent by the target medical image, passes through target medicine shadow described in the presupposition analysis port
As the progress image analysing computer processing of corresponding parser, the Study document of XML format or JSON format is obtained；
Conversion process is carried out to the Study document of the XML format or JSON format, obtains the first object text of DICOM format
Part and the second file destination；
The image that the first object file and second file destination are sent in the medical image management system is returned
Shelves and communication ends.
4. medical image management method as claimed in claim 3, which is characterized in that described to send the target medical image
Image analysing computer processing is carried out to presupposition analysis port, the step of obtaining Study document includes:
The corresponding type information of the target medical image is matched with the algorithm identification information in presupposition analysis port；
If the type information is identical as the algorithm identification information, the corresponding parser of the algorithm identification information is obtained
The target medical image is analyzed and processed, Study document is obtained.
5. medical image management method as claimed in claim 4, which is characterized in that described that the target medical image is corresponding
Type information the step of being matched with the algorithm identification information in presupposition analysis port after, the medical image manager
Method further include:
If the type information and the algorithm identification information be not identical, by type information target corresponding with its
Medical image is sent to target user；
The processing file of target user's feedback is obtained, and the processing file is determined as the Study document.
6. medical image management method as claimed in claim 3, which is characterized in that described to be converted to the Study document
Processing, the step of obtaining first object file and the second file destination include:
Identify the translation type of the Study document, wherein the translation type includes structured report type and gray scale is soft copies
Shellfish shows Status Type；
If the translation type is the structured report type, portable document format text is generated according to the Study document
Part；
The portable document format file is imported into preset structureization report transformation warehouse and carries out conversion process, is obtained at conversion
The first object file after reason；
If the translation type is that gray scale soft copy shows Status Type, the Study document imported into default gray scale is soft to be copied
Shellfish shows that state transformation warehouse carries out conversion process, second file destination after obtaining conversion process.
7. a kind of medical image managing device, which is characterized in that the medical image managing device includes image archiving and communication
End, the image archiving and communication ends include:
Request module, the effective medical image inquiry request sent for obtaining operation user；
Image acquiring module, for obtaining target medicine shadow from image database according to effective medical image inquiry request
Picture；
First sending module, for carrying out the corresponding DICOM format document memory of the target medical image and default memory
Compare, and artificial intelligence end is sent for the target medical image according to comparison result and carries out image analysing computer processing, wherein institute
Stating target medical image includes the DICOM format document memory；
First receiving module, for receiving DICOM format that artificial intelligence end response image analysing computer processing result returns
First object file and the second file destination, and the first object file and second file destination are fed back into operation and used
Family.
8. a kind of medical image managing device, the medical image managing device includes artificial intelligence end, the artificial intelligence end
Include:
Second receiving module, for receiving the image archiving in medical image management system and the target medicine shadow of communication ends transmission
Picture；
Analysis module, for sending presupposition analysis port for the target medical image, by the presupposition analysis port
The corresponding parser of the target medical image carries out image analysing computer processing, obtains the analysis of XML format or JSON format
File；
Conversion module carries out conversion process for the Study document to the XML format or JSON format, obtains DICOM lattice
The first object file and the second file destination of formula；
Second sending module, for sending the medical image pipe for the first object file and second file destination
Image archiving and communication ends in reason system.
9. a kind of medical image management system, which is characterized in that including image archiving and communication ends and with the image archiving
The artificial intelligence end connected with communication ends；
The image archiving and communication ends include first memory and first processor, are stored with medicine in the first memory
Image Management program is realized when the medical image management program is executed by the first processor as claim 1 to 2 is any
Method and step described in；
The artificial intelligence end includes second memory and second processor, and medical image pipe is stored in the second memory
Program is managed, is realized as described in any one of claim 3 to 6 when the medical image management program is executed by the second processor
Method and step.
10. a kind of computer readable storage medium, the computer-readable recording medium storage has computer program, and feature exists
In realization such as claim 1 to 2 described in any item medical image management methods when the computer program is executed by processor
The step of, alternatively, realizing such as claim 3 to 6 described in any item medicine shadows when the computer program is executed by processor
As the step of management method.
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