CN108665963A - A kind of image data analysis method and relevant device - Google Patents
A kind of image data analysis method and relevant device Download PDFInfo
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- CN108665963A CN108665963A CN201810462420.XA CN201810462420A CN108665963A CN 108665963 A CN108665963 A CN 108665963A CN 201810462420 A CN201810462420 A CN 201810462420A CN 108665963 A CN108665963 A CN 108665963A
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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 embodiment of the present application discloses a kind of image data analysis method and relevant device, wherein method include：Detecting whether there are the target image data for meeting analysis condition from the background；If in the presence of the target image data are being obtained from the background；The target image data, which are analyzed, using image data Processing Algorithm obtains analysis result.The intellectual analysis to image data may be implemented in the embodiment of the present application, reduces analytical error and the manpower consumption for manually participating in bringing, and promotes working efficiency.
Description
Technical field
This application involves data processing fields, and in particular to a kind of image data analysis method and relevant device.
Background technology
With the continuous development of science and technology, larger progress is also achieved to the treatment technology of image data in every profession and trade.
Image processing is also known as image procossing, is handled image with computer, to reach the technology of required result, basic index
Word image procossing, digital picture refer to one big two obtained by shooting with equipment such as industrial camera, video camera, scanners
The element of dimension group, the array is known as pixel, and value is known as gray value.At the same time, it usually needs again to being obtained after image processing
To result image data analyzed, and the personnel of profession are needed to the analysis of result image data, and need a large amount of
Time.
Such as in medical procedure, doctor needs to divide the medical imaging result obtained by medical imaging equipment
Analysis, at present for medical imaging the result is that pure manually carry out, the time for completing a image report analysis is longer.And instantly in
State's medical treatment resource allocation is unbalanced, and high-level medical practitioner is often only distributed in the large hospital in a small number of economically developed cities,
This causes some sufferers that cannot obtain most accurate and profession treatment at the first time.It is illustrated with hospital radiological department diagnostic process,
With popularizing for all kinds of medical imaging equipments, basic hospital image department, which often faces, to be had image documentation equipment but lacks high level profession
The condition of diagnostic imaging doctor then or can not provide accurately diagnosis and successive treatment, the culture of the professional medical image talent
Speed is also far below the increase of demand, workload and staffing is not directly proportional is virtually reducing diagnosis and treatment efficiency yet.It is overall
For, a large amount of artificial participation is needed to the analysis method of image data at present, error is easy tod produce and time-consuming, work effect
Rate is not high.
Invention content
The embodiment of the present application provides a kind of image data analysis method and relevant device, may be implemented to image data
Intellectual analysis reduces analytical error and the manpower consumption for manually participating in bringing, and promotes working efficiency.
The embodiment of the present application first aspect provides a kind of image data analysis method, including：
Detecting whether there are the target image data for meeting analysis condition from the background；
If in the presence of the target image data are being obtained from the background；
The target image data, which are analyzed, using image data Processing Algorithm obtains analysis result.
It is described to detect whether there is the target image number for meeting analysis condition from the background in a kind of optional embodiment
According to including：
Detecting whether there are the target image data for carrying analysis mark from the background,
Alternatively, detecting whether that there are the target image data from the background according to setting rule.
It is described to detect whether that there are the target images from the background according to setting rule in a kind of optional embodiment
Data include it is following any one or a few：
Detecting whether there are the target image data for scanning completion in the target time period from the background,
Alternatively, detecting whether the target image data there are target image types from the background,
Alternatively, detecting whether the target image data there are targeted scans position from the background,
Alternatively, detecting whether the target image data there are target image size from the background.
In a kind of optional embodiment, the method further includes：
It receives and the active inquiry of the target image data is instructed；
The target image data are obtained, detect whether that there are the corresponding analysis results of the target image data；
If being not present, execution is described to obtain analysis result using the image data Processing Algorithm analysis target image data
The step of, and if it exists, detect the analysis result whether with current image data processing algorithm version match；
If matching, obtains the corresponding analysis result of the target image data, if mismatching, execution is described to use image number
The step of target image data obtain analysis result is analyzed according to Processing Algorithm.
In a kind of optional embodiment, the method further includes：In the case where being in idle condition, detect whether
In the presence of the target image data for the analysis condition for meeting the idle state；
If in the presence of obtaining the target image data, executing described using the image data Processing Algorithm analysis target
Image data obtains the step of analysis result.
In a kind of optional embodiment, the idle state include it is following any one or a few：In it is default when
Between section state, detect the state of askiatic data analysis task execution, detect system operating frequency be less than frequency threshold
State, detect that the duration for not receiving user instruction reaches the state entered after preset duration.
In a kind of optional embodiment, the method further includes：It is analyzed using image data Processing Algorithm described
During the target image data obtain analysis result, if detecting diagosis operational order, executes the diagosis operation and refer to
Corresponding image processing tasks are enabled, are obtained executing the use image data Processing Algorithm analysis target image data from the background
The step of to analysis result.
In a kind of optional embodiment, the method further includes：
After obtaining the analysis result, output is for prompting the completed pushed information of analysis.
The embodiment of the present application second aspect provides a kind of image data analytical equipment, including is used to execute the application such as and implements
The module of method described in example first aspect.
The embodiment of the present application third aspect provides another image data analytical equipment, including processor and memory,
For storing one or more programs, one or more of programs are configured to be executed by the processor memory,
Described program includes for executing the step some or all of as described in the embodiment of the present application first aspect either method.
The embodiment of the present application fourth aspect provides a kind of computer readable storage medium, the computer readable storage medium
Computer program for storing electronic data interchange, wherein the computer program makes computer execute as the application is real
Some or all of apply described in a first aspect either method step.
The 5th aspect of the embodiment of the present application provides a kind of computer program product, and the computer program product includes storage
The non-transient computer readable storage medium of computer program, the computer program are operable to that computer is made to execute such as
Step some or all of described in the embodiment of the present application first aspect either method.
In the embodiment of the present application, it can detect whether there are the target image data for meeting analysis condition from the background, if depositing
, obtaining the target image data from the background, reuse image data Processing Algorithm analyze the target image data can be with
Analysis result is obtained, image data can be analyzed by image data Processing Algorithm, is reduced a large amount of in previous methods
It is artificial to participate in, and then reduce error and the time loss for manually participating in bringing；And the above process can carry out on backstage, simultaneously
Other tasks can be executed, the stand-by period is reduced, promote working efficiency.
Description of the drawings
In order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, to embodiment or will show below
There is attached drawing needed in technology description to be briefly described.
Fig. 1 is a kind of flow diagram of image data analysis method disclosed in the embodiment of the present application；
Fig. 2 is the flow diagram of another image data analysis method disclosed in the embodiment of the present application；
Fig. 3 is that a kind of AI auxiliary diagnosis calculation server disclosed in the embodiment of the present application is handed over image archiving and communication system
Mutual structural schematic diagram；
Fig. 4 is a kind of structural schematic diagram of image data analytical equipment disclosed in the embodiment of the present application；
Fig. 5 is the structural schematic diagram of another image data analytical equipment disclosed in the embodiment of the present application.
Specific implementation mode
In order to make those skilled in the art more fully understand application scheme, below in conjunction in the embodiment of the present application
Attached drawing, technical solutions in the embodiments of the present application are clearly and completely described, it is clear that described embodiment is only
Some embodiments of the present application, instead of all the embodiments.Based on the embodiment in the application, those of ordinary skill in the art
The every other embodiment obtained without creative efforts, shall fall in the protection scope of this application.
Term " first ", " second " in the description and claims of this application and above-mentioned attached drawing etc. are for distinguishing
Different objects, rather than for describing particular order.In addition, term " comprising " and " having " and their any deformations, it is intended that
It is to cover and non-exclusive includes.Such as process, method, system, product or the equipment for containing series of steps or unit do not have
It is defined in the step of having listed or unit, but further includes the steps that optionally not listing or unit, or optionally also wrap
It includes for other intrinsic steps of these processes, method, product or equipment or unit.
Referenced herein " embodiment " is it is meant that a particular feature, structure, or characteristic described can wrap in conjunction with the embodiments
It is contained at least one embodiment of the application.Each position in the description occur the phrase might not each mean it is identical
Embodiment, nor the independent or alternative embodiment with other embodiments mutual exclusion.Those skilled in the art explicitly and
Implicitly understand, embodiment described herein can be combined with other embodiments.
Image data analytical equipment involved by the embodiment of the present application can be the terminal device that can be connected into internet,
Such as computer or server, other-end equipment can be allowed to access.
It describes in detail below to the embodiment of the present application.
Referring to Fig. 1, Fig. 1 is a kind of flow diagram of image data analysis method disclosed in the embodiment of the present application, such as
Shown in Fig. 1, which includes the following steps；
101, detecting whether there are the target image data for meeting analysis condition from the background.
Before carrying out image data analysis, clear analysis condition is needed, that is, needs to analyze which image data.
Above-mentioned analysis condition can be stored in image data analytical equipment, image data analytical equipment can be examined on backstage
It surveys, detects whether there is the image data for meeting above-mentioned analysis condition.For convenience of statement, the above-mentioned image number for meeting analysis condition
According to i.e. be known as above-mentioned target image data.
Image archiving and communication system (Picture Archiving and Communication Systems, PACS)
The system applied in hospital image section office, main task be exactly the various medical images of daily generation (including nuclear-magnetism,
CT, ultrasound, various X-ray machines, the equipment such as various radar stealthy materials, frequency microscope generate image) by various interfaces (simulation, DICOM,
Network) magnanimity saves in a manner of digitized, when needed can be quickly under certain mandate recall to use,
Increase some auxiliary diagnosis management functions simultaneously.Its transmission data and tissue storage data between various image documentation equipments have important
Effect.In the embodiment of the present application, PACS inquiries can be connected or obtain above-mentioned image data.
To the program in running background involved in the embodiment of the present application, refer generally to the process that operating system does not show operation.
Here for backstage is with respect to desktop, if it is foreground, when execution, we can perceive desktop, and backstage is that user sees not
It arrives.Such as background printing：When Office programs, which execute, to be printed, print out task is read to backstage together, printing is used after starting
Family can continue to execute other operation on computers.Can be understood as program to minimize or hide is exactly background function.
The mode monitored based on ad hoc rules and actively may be used to the acquisition of image data in the embodiment of the present application, is curing
In terms of learning image data analysis, the image data for needing to carry out AI algorithm auxiliary diagnosis can be inquired automatically, background query simultaneously
It actively downloads, AI auxiliary diagnosis tasks can be executed on backstage after the completion of download, so that doctor is needing AI algorithms auxiliary
When diagnosis, algorithm has been finished when most, and doctor only needs to check result immediately, can greatly promote whole
The operational efficiency of a system and the working efficiency of doctor.
Optionally, above-mentioned steps 101 can specifically include：
Detecting whether there are the target image data for carrying analysis mark from the background,
Alternatively, detecting whether that there are the target image data from the background according to setting rule.
Above-mentioned analysis mark can be understood as a kind of mark to influencing data, and user, which can select, to be analyzed
Image data, chosen target image data can have above-mentioned analysis mark, image data analytical equipment that can detect
Above-mentioned analysis mark, to find the target image data analyze that user specifies.Specifically, image data point
It can be stored with image data summary table in analysis apparatus, the basic document of all image datas can be had recorded wherein, work as user
When selection target image data, it can be labeled, i.e., analysis mark can be presented as in image data summary table at this time
Symbol mark or label character；Alternatively, user can select while the selected target image data analyzed
Its analysis time is selected, the analysis mark that selected target image data carry at this time further includes above-mentioned analysis time, image data
Analytical equipment then can execute the analyzing processing to the target image data in the analysis time of reservation, such as select image data
B after 2 hours 16 when carry out image data analysis, then image data analytical equipment can store for image data B's
Analysis mark can determine that the processing time to image data B is when executing step 101 by detecting analysis mark
When today 16.I.e. user can active selection target image data analyze, can also preengage in advance to target image data
Analyzing processing, the user experience is improved.
Wherein, above-mentioned to detect whether that there are the target image data may include from the background according to setting rule：
Detecting whether there are the target image data for scanning completion in the target time period from the background,
Alternatively, detecting whether the target image data there are target image types from the background,
Alternatively, detecting whether the target image data there are targeted scans position from the background,
Alternatively, detecting whether the target image data there are target image size from the background.
Specifically, above-mentioned setting rule can be the time restriction condition being scanned.Image data analytical equipment can be with
It is stored with one or more target time sections, such as the target time section of setting was before 6 hours to before 3 hours, for example, when
When the preceding time is 14, image data analytical equipment is whether to exist what the scanning in 8 points to 11 points was completed backstage detection
Target image data.Various image documentation equipments are at nearest one day, three days, one week, two weeks i.e. in hospital, in the different time sections such as January
The data completed are scanned, can be managed by rule, and carries out active inquiry and obtains automatically.
Above-mentioned setting rule can be the restrictive condition to image type.There are one image data processing device can store
Or multiple target image types, the target image data there are above-mentioned target image types can be being detected whether from the background.Wherein
The image type mentioned can be understood as the image modalities obtained by different equipment, in Medical Imaging, above-mentioned image
Type may include：X-ray image, CT images, MRI image, PET/CT images, MAMMO mammary gland, X-ray image etc..For example,
The target image types being arranged in image data processing device are X-ray image and CT images, can detect whether that there are X from the background
The target image data of optical image and CT images type.
Above-mentioned setting rule can also be the restrictive condition to scanned position in image.Image data processing device can be deposited
One or more targeted scans positions are contained, can detect whether that there are the target image numbers at above-mentioned targeted scans position from the background
According to.Wherein in Medical Imaging, the scanned position mentioned may include：Chest shooting, head shooting, abdomen shooting, vertebra
The specific scanned positions such as shooting scanning.For example, it is clapped for chest at the targeted scans position being arranged in image data processing device
It takes the photograph and is shot with head, can detect whether that there are the target image data of chest shooting and head shot type from the background.
Above-mentioned setting rule can also be the restrictive condition to image size.Image data processing device can be stored with mesh
Logo image size can detect whether the target image data there are above-mentioned target image size from the background.It is mentioned that figure
As size may include the parameter that image data size or image resolution ratio etc. describe image size.
Optionally, above-mentioned setting rule can also be the limitation to image scanning parameter, for example, different scanning parameter is related to
The parameter of different scanning thickness, scanning inclination angle, radiation metering and image reconstruction agreement etc., above-mentioned targeted scans parameter
It can be set in advance in above-mentioned image data processing unit, you can meet above-mentioned targeted scans ginseng detecting whether to exist from the background
Several target image data.
Optionally, in the detection process to target image data, above-mentioned setting rule can be arranged in user, can be related to
Above-mentioned image type, image size, image scanning parameter, one or more of rules such as scanned position.It is further alternative, right
It in the management of all image datas of storage, can also be managed according to the above-mentioned parameter being related to, and carry out user's
Active inquiry and acquisition.
If in the presence of the target image data for meeting above-mentioned analysis condition, step 102 can be executed.
102, above-mentioned target image data are being obtained from the background.
Wherein, step 102 can be carried out periodically, and looking into for different frequency can be carried out at regular intervals on backstage
Ask, for example, interval one minute, five minutes or half an hour time interval, find have new data update when can carry out from
It is dynamic to download, and then analytic process can be executed on backstage.It can be connected in the image data analytical equipment of medical field, hospital
PACS is communicated, and above-mentioned image data is inquired or obtain, and can also be executed on backstage.
After obtaining above-mentioned target image data, step 103 can be executed.
103, above-mentioned target image data are analyzed using image data Processing Algorithm and obtains analysis result.
The image data Processing Algorithm mentioned in the embodiment of the present application is it can be appreciated that image processing algorithm, above-mentioned image
Data processing algorithm is preferably intelligent algorithm.Wherein, artificial intelligence (Artificial Intelligence, AI) is to grind
Study carefully, develop for simulate, extend and extend people intelligence theory, method, technology and application system a new engineering department
It learns.Artificial intelligence is a branch of computer science, it attempts to understand essence of intelligence, and produce it is a kind of it is new can be with people
The class intelligence machine that intelligently similar mode is made a response, the research in the field include robot, language identification, image recognition,
Natural language processing and expert system etc..Artificial intelligence is since the birth, and theory and technology is increasingly mature, and application field is also continuous
Expand, it is contemplated that the sci-tech product that the following artificial intelligence is brought, it will be the wisdom of humanity " container ".Artificial intelligence can be with
Simulation to the information process of the consciousness of people, thinking.Artificial intelligence is not the intelligence of people, but can think deeply as people, may also
More than the intelligence of people.
Computer-aided diagnosis (computer aided diagnosis, CAD) or computer aided detection (computer
Aideddetection, CAD) refer to by iconography, Medical Image Processing and other possible physiology, biochemical hand
Section is calculated in conjunction with the analysis of computer, and auxiliary finds lesion, improves the accuracy rate of diagnosis.The cad technique often said is mainly now
Refer to the computer aided technique based on Medical Imaging.It is distinguished with above computer auxiliary detection, the latter's emphasis is detection, meter
Calculation machine only needs to be labeled abnormal sign, carries out common image processing on this basis, and without further being examined
It is disconnected.That is, computer-aided diagnosis is extension and the final purpose of computer aided detection, correspondingly, computer aided detection is
The basis of computer-aided diagnosis and only stage which must be passed by.Cad technique is otherwise known as " the third eye " of doctor, CAD system it is extensive
Using the sensibility and specificity for helping to improve diagnosis.
Point of the scheme that intelligent algorithm is applied to image data processing existing at present, especially medical image data
Analysis, many hospitals begin to use AI medical image assistant analysis technologies, to help through required diagnostic task.
The analysis condition mentioned based on above-mentioned standard 101 and master may be used to the acquisition of image data in the embodiment of the present application
The mode of dynamic monitoring can inquire the image data for needing to carry out auxiliary diagnosis automatically in terms of medical image data analysis,
Background query is simultaneously actively downloaded, and can execute AI auxiliary diagnosis tasks on backstage after the completion of download, so that doctor is needing
When auxiliary diagnosis, image data Processing Algorithm has been finished when most, and doctor only needs to check result immediately i.e.
Can, the operational efficiency of whole system and the working efficiency of doctor can be greatly promoted.
In the embodiment of the present application, it can detect whether there are the target image data for meeting analysis condition from the background, if depositing
Above-mentioned target image data are being obtained from the background, reuse image data Processing Algorithm (preferably intelligent algorithm) analysis
Target image data can obtain analysis result, can be analyzed image data by image data Processing Algorithm, reduce
A large amount of artificial participation in previous methods, and then reduce error and the time loss for manually participating in bringing；And the above process can
To be carried out on backstage, while other tasks can be executed, reduce the stand-by period, promote working efficiency.
Referring to Fig. 2, Fig. 2 is the flow diagram of another image data analysis method disclosed in the embodiment of the present application,
Fig. 2 advanced optimizes to obtain on the basis of Fig. 1, and the image data in the embodiment of the present application can be medical image number
Being properly termed as medical image data analytical equipment according to, corresponding image data analytical equipment, (or AI auxiliary diagnosis calculates service
Device), wherein image data Processing Algorithm used in image data analytical equipment is preferably intelligent algorithm.Such as Fig. 2 institutes
Show, which includes the following steps：
201, detecting whether there are the target image data for meeting analysis condition from the background.
202, above-mentioned target image data are being obtained from the background.
After obtaining above-mentioned target image data, step 205 can be executed.
203, it receives and the active inquiry of above-mentioned target image data is instructed.
Image data analytical equipment can also execute user and actively send out in addition to being analyzed target image data on backstage
The query analysis instruction risen.Patient or radiologist's initiative carry out the image data of auxiliary diagnosis, can also pass through
Above-mentioned analysis condition similar rule is managed, is inquired and obtains.Image data analytical equipment can receive from the user right
The active inquiry of target image data instructs, and can execute step 204.Optionally, special mark can be carried out in information system
Know label, is either registered in assistant diagnosis system and then can be in the process of idle state or next step
Obtain the analysis result of target image data.
As shown in figure 3, AI auxiliary diagnosis calculation server can be deployed in hospital internal (or hospital internal private clound deployment
Scheme), doctor can be serviced using AI in hospital internal, AI auxiliary diagnosis calculation server can access equally in hospital
The image archiving and communication system PACS in portion avoid patient's image data externally transmitting the data safety that may cause and hidden
Private problem.Different background queries and implementation strategy can be set simultaneously, with global optimization Hospital PACS, for example user can
To send inquiry instruction and acquisition instruction by AI auxiliary diagnosis calculation servers, to the medical image in PACS carry out inquiry or
Person obtains, and can carry out analysis operation.
204, above-mentioned target image data are obtained, detect whether that there are the corresponding analysis results of above-mentioned target image data.
In the case where target image data are determined, above-mentioned target image data can be obtained, and detect the target
Whether image data had carried out image data analysis, that is, whether there is the corresponding analysis result of above-mentioned target image data.If
Be not present, step 205 can be executed, and if it exists, can detect above-mentioned analysis result whether with current manual's intelligent algorithm version
Matching, if mismatching, can execute step 205 if matching, can execute step 206.Image data analytical equipment can be timely
The version updating situation for the intelligent algorithm being related to is detected, then there is also a kind of possible scenes：AI is had existed before i.e.
Analysis as a result, but AI algorithm models version or function have upgrading or additions and deletions, at this moment can also execute execution analysis step again
Suddenly, to obtain the analysis result obtained by latest algorithm, the accuracy of analysis is promoted.
Image data analytical equipment in the embodiment of the present application can be AI auxiliary diagnosis calculation servers, can pass through by
It is deployed in the mode of hospital internal (or hospital internal private clound deployment scheme), and doctor can be taken using AI in hospital internal
Business, avoids patient's image data externally transmitting the data safety that may cause and privacy concern.
205, above-mentioned target image data are analyzed using intelligent algorithm and obtains analysis result.
For example, it can be carried out in the inquiry operation for carrying out step 201 at regular intervals from the background, enquiry frequency
Different settings, such as interval one minute, five minutes or half an hour constant duration, certainly when finding to have new data update
It is dynamic to download, and backstage executes corresponding AI auxiliary diagnosis operation.
Optionally, image data analytical equipment can receive the image data from other-end equipment, and carry out image
Data analysis.Such as the target image number for needing to carry out AI analyses that the equipment that can receive other basic hospital sends over
According to, then analyzing processing is carried out to target image data automatically, and analysis result is fed back, so as to reach remote analysis
Effect, it is easy to operate, improve user experience.
206, the corresponding analysis result of above-mentioned target image data is obtained.
In the case where detecting the presence of the corresponding analysis result of target image data, the analysis result is obtained.
207, judge whether to be in idle condition.
Wherein, above-mentioned idle state may include it is following any one or a few：State in preset time period, detection
To the state of askiatic data analysis task execution, detects that system operating frequency is less than the state of frequency threshold, detect not
The duration for receiving user instruction reaches the state entered after preset duration.
Specifically, above-mentioned idle state can be divided by the time of setting, and image data analytical equipment can be stored with
Preset time period, it can be understood as in above-mentioned preset time period, image data analytical equipment enters above-mentioned sky
Not busy state.At least two states, such as working condition and idle state, above-mentioned work shape can be arranged in image data analytical equipment
State and idle state can for example be arranged at daily 8 points to 18 points by timing separation and be in working condition, and other times are the free time
State, or by taking hospital work as an example, it is daily 20. -23 that above-mentioned preset time period, which can be arranged, in image data analytical equipment
Point, 20. -23 image data analytical equipments of personnel After Hours that serve at a hospital are in above-mentioned idle state, and then can be certainly
It is main that medical image in PACS is inquired, is obtained or analyzing processing.
When image data analytical equipment detects that askiatic data processing task executes, or detect system operatio frequency
When rate is less than frequency threshold, above-mentioned idle state can also be entered.
Specifically, above-mentioned image data processing task includes detection, acquisition and the analysis task etc. to image data, works as shadow
In the case of being not carried out any image data processing task as data analysis set-up, illustrate that this image data analysis set-up is idle,
Enter above-mentioned idle state.Optionally, image data analytical equipment can be stored with said frequencies threshold value, for judging whether
It is in idle condition, when image data analytical equipment detects that its system operating frequency is less than said frequencies threshold value, can sentence
It is disconnected to be in above-mentioned idle state.It is to be understood that when image data analytical equipment is smaller without frequent manual operation or workload
The case where, it is and then to execute the work step of idle state for idle state that can define.
Optionally, image data analytical equipment can detect the duration for obtaining and not receiving user instruction, and above-mentioned user refers to
Enable the instruction for referring to that user carries out above-mentioned image data analytical equipment operation triggering, image data analytical equipment that can receive
User instruction simultaneously executes corresponding operation.It is stored with preset duration threshold value in image data analytical equipment, is not received when above-mentioned
After the duration of user instruction reaches above-mentioned preset duration threshold value, then the above-mentioned idle state that can enter.For example, from last time
It receives and starts timing after user instruction terminates, such as using 15 minutes 10 minutes or 30 minutes as above-mentioned preset duration threshold
Value, do not receive above-mentioned user instruction also more than above-mentioned preset duration threshold value, then image data analytical equipment can enter it is upper
Stating idle state (such as the scanning amount of image data some day is seldom) can also execute under this brief idle state
Data downloading process, if new manual operation (triggering above-mentioned user instruction), i.e. this idle state occur in above-mentioned downloading process
It is interrupted, image data analytical equipment can enter normal operating conditions can wait for next time then above-mentioned download is interrupted
The idle state mode that breakpoint renews again continues to download.By the above method, image data analytical equipment can neatly switch
Normal operating conditions and above-mentioned idle state, it then follows different setting rules executes Data Management Analysis task, improves work
Efficiency, the user experience is improved.
Image data analytical equipment can execute step 207, in above-mentioned working condition, image data in preset time period
Analytical equipment constantly can execute the acquisition and analysis of above-mentioned image data, i.e. step 201 on backstage, and be analyzed in image data
In the case that device is in idle condition, step 208 can be executed.
208, the target image data that there is the analysis condition for meeting above-mentioned idle state are detected whether.
Wherein, the analysis condition of idle state can refer in the step 101 of embodiment illustrated in fig. 1 to analysis condition
Description, the i.e. analysis condition of working condition, details are not described herein again；It should be noted that in the embodiment of the present application, the above-mentioned free time
The analysis condition of state can be different from the analysis condition of above-mentioned working condition, so as to be directed to different conditions make it is different
Image data analysis operation.In the case that image data analytical equipment is in above-mentioned idle state, it can detect whether to deposit
In the target image data for meeting the analysis condition of above-mentioned idle state, and if it exists, step 204- steps 205 can be executed, if
It being not present, not executing step 204- steps 205, above-mentioned steps 208 can be carried out periodically, such as detection in every 5 hours is primary, or
Person's step 208 is executed in the pre-set object time, for example, image data analytical equipment stores 20 points of object time,
After 18 points, into above-mentioned idle state, step 208 can be carried out in object time 20 of setting.Image data is analyzed
The operating mode of various states can be flexibly arranged in device, be not restricted herein, i.e., in an idle state with daily work shape
Under state, different Data Detections and the rule and mode of acquisition can be executed, or even if if regular for identical setting because of
The difference of workload, and can by different frequencies backstage performance objective image data detection.
For example, after daily hospital work terminates, it is longer several primary or interval time can be carried out to PACS
Secondary inquiry, the automatic image data for obtaining the same day or the previous day carry out corresponding AI auxiliary diagnosis behaviour automatically after the completion of downloading
Make.
209, it in the case where detecting diagosis operational order, executes the corresponding image procossing of above-mentioned diagosis operational order and appoints
Business.
User can check all kinds of image datas and its analysis result on image data analytical equipment, this is on foreground
Operation.Image data analytical equipment can receive diagosis operational order from the user, in the feelings for detecting diagosis operational order
Under condition, the corresponding image processing tasks of above-mentioned diagosis operational order can be executed, you can with the mesh for being directed to diagosis operational order
Mark image data and/or analysis result recall display, and in the case of no analysis result, image data analytical equipment can start
Image data analysis is carried out to target image data, and above-mentioned analytic process can execute on backstage, meanwhile, conventional diagosis behaviour
Work still can carry out on image data analytical equipment, you can be appointed with being carried out at the same time the high-performance Visual calculation needed for diagosis
It is engaged in (image processing tasks).
For example, when doctor needs promptly to carry out the operation of AI auxiliary diagnosis to the image data of some patient, equally
Support the image data from PACS inquiry patients and download, and the processing using AI algorithm auxiliary diagnosis.But in whole process
In, after the completion of image data download, because AI algorithms complete auxiliary diagnosis and need the regular hour, in order to reduce doctor
The waiting of this period, doctor can be allowed to download in data by following strategy can immediately begin to conventional diagosis behaviour when completion
Make, the execution of backstage AI algorithms does not influence the routine operation of doctor：
If AI auxiliary diagnosis calculation servers have polylith video card resource that can use, AI algorithms can be assisted examining
The image processing tasks of disconnected task and doctor's routine diagosis are assigned on identical or different video cards to be executed respectively.If be assigned to
It is executed on different video cards, then two generic tasks do not influence mutually independently of one another, and such doctor can wait for the same of AI arithmetic results
The diagosis diagnostic operation of Shi Jinhang routines, wait for AI algorithm performs after referring again to AI algorithm auxiliary diagnosis result carry out most
Diagnosis eventually.
If AI auxiliary diagnosis calculation servers only have one piece of video card that can use, two tasks are placed on same
It is executed on video card.At this point, in order to reduce video card resource overhead, the task that the image data of patient is different to above-mentioned two is shared
, the image processing tasks needed for such doctor's diagosis can start simultaneously at execution, Yi Shengke with AI algorithm auxiliary diagnosis tasks
To immediately begin to diagosis operation, and the execution of AI algorithms is transparent for doctor, and the execution of AI algorithms does not influence doctor
Normal operating efficiency.After AI algorithm performs, can result be actively pushed to doctor, auxiliary doctor diagnoses,
That is following steps 210.
210, it after obtaining above-mentioned analysis result, exports for prompting the completed pushed information of above-mentioned analysis.
Image data analytical equipment can export pushed information, above-mentioned pushed information after obtaining above-mentioned analysis result
Can be voice messaging or text information can check analysis result to prompt customer analysis to be completed, optionally, above-mentioned
Pushed information can be associated with above-mentioned analysis result, you can to show that a PUSH message, user pass through in click on the screen
The operation opening analysis result for stating pushed information is consulted.
Wherein, above-mentioned steps 201, step 202 and step 205 can refer to step in embodiment shown in FIG. 1 respectively
The specific descriptions of 101- steps 103, details are not described herein again.
In the embodiment of the present application, it can detect whether there are the target image data for meeting analysis condition from the background, if depositing
Above-mentioned target image data are being obtained from the background, can also be carried out active inquiry to target image data, be reused artificial intelligence
The above-mentioned target image data of Algorithm Analysis can obtain analysis result, can be divided image data by intelligent algorithm
Analysis reduces a large amount of artificial participation in previous methods, and then reduces error and the time loss for manually participating in bringing；And it is above-mentioned
Process can carry out on backstage, while can execute diagosis task, reduce the stand-by period, promote working efficiency.
In order to improve the predicament for medical imaging data analysis mentioned in above-mentioned background technology, more and more hospitals
Begin to use artificial intelligence (Artificial Intelligence, AI) medical image assistant analysis technology, to assist to complete institute
The diagnostic task needed.But in general actual use, AI Image-aideds diagnostic techniques takes image data auxiliary diagnosis
Long, working efficiency is not high.
The embodiment of the present application to the analysis of image department doctor's clinical diagnosis workflow by proposing one kind in routine work
The optimisation strategy of seamless embedded AI assisted diagnosis algorithms in stream, reduce because AI algorithms introducing and increased doctor wait for when
Between, the shortcomings that optimizing conventional method, AI assistant diagnosis systems and the working efficiency of doctor are optimized, while can help to be promoted again
The accuracy of diagnosis improves the user experience of doctor.
It is above-mentioned that mainly the scheme of the embodiment of the present application is described from the angle of method side implementation procedure.It is appreciated that
, image data analytical equipment in order to realize above-mentioned function, it comprises execute the corresponding hardware configuration of each function and/or
Software module.It will be appreciated by those skilled in the art that unit described in conjunction with the examples disclosed in the embodiments of the present disclosure
And algorithm steps, the application can be realized with the combining form of hardware or hardware and computer software.Some function actually with
Hardware or computer software drive the mode of hardware to execute, and depend on the specific application and design constraint item of technical solution
Part.Professional technician specifically can realize described function to each using distinct methods, but this reality
Now it is not considered that exceeding scope of the present application.
The embodiment of the present application can carry out image data analytical equipment according to the above method example division of functional unit,
For example, can correspond to each function divides each functional unit, two or more functions can also be integrated in one
In processing unit.The form that hardware had both may be used in above-mentioned integrated unit is realized, the shape of SFU software functional unit can also be used
Formula is realized.It should be noted that being schematical to the division of unit in the embodiment of the present application, only a kind of logic function is drawn
Point, formula that in actual implementation, there may be another division manner.
Referring to Fig. 4, Fig. 4 is a kind of structural schematic diagram of image data analytical equipment disclosed in the embodiment of the present application.Such as
Shown in Fig. 4, which includes：Detection module 410, acquisition module 420 and analysis module 430,
In：
Above-mentioned detection module 410, for detecting whether there are the target image data for meeting analysis condition from the background；
Above-mentioned acquisition module 420, for exist meet above-mentioned analysis condition above-mentioned target image data in the case of,
Above-mentioned target image data are being obtained from the background；
Above-mentioned analysis module 430 is analyzed for analyzing above-mentioned target image data using image data Processing Algorithm
As a result.
Optionally, above-mentioned detection module 410 is specifically used for：
Detecting whether there are the target image data for carrying analysis mark from the background,
Alternatively, detecting whether that there are above-mentioned target image data from the background according to setting rule.
Optionally, above-mentioned detection module 410 is detecting whether that there are above-mentioned target image data from the background according to setting rule
Concrete mode include it is following any one or a few：
Detecting whether there are the target image data for scanning completion in the target time period from the background,
Alternatively, detecting whether the target image data there are target image types from the background,
Alternatively, detecting whether the target image data there are targeted scans position from the background,
Alternatively, detecting whether the target image data there are target image size from the background.
Optionally, above-mentioned image data analytical equipment 400 further includes：
Transmission module 440, for receiving the active inquiry instruction to above-mentioned target image data；
Enquiry module 450, for detecting whether there are the corresponding analysis results of above-mentioned target image data, and for examining
Survey above-mentioned analysis result whether with current image data processing algorithm version match；
Above-mentioned analysis module 430 is additionally operable to, if the corresponding analysis result or described of above-mentioned target image data is not present
When analysis result is mismatched with current image data processing algorithm version, above-mentioned target shadow is analyzed using image data Processing Algorithm
As data obtain above-mentioned analysis result；
Above-mentioned acquisition module 420 is additionally operable to, if there are the corresponding analysis result of above-mentioned target image data, and described point
When analysing result with current image data processing algorithm version match, the corresponding analysis result of above-mentioned target image data is obtained.
Optionally, above-mentioned detection module 410 is additionally operable to：
In the case where being in idle condition, the target image number that there is the analysis condition for meeting idle state is detected whether
According to.Above-mentioned idle state may include it is following any one or a few：State in preset time period detects askiatic number
According to the state that analysis task executes, detects that system operating frequency is less than the state of frequency threshold, detect and do not receive user
The duration of instruction reaches the state entered after preset duration.
Optionally, above-mentioned apparatus further includes image processing module 460, for being used at image data in analysis module 430
During the reason above-mentioned target image data of Algorithm Analysis obtain analysis result, if detecting diagosis operational order, execute above-mentioned
The corresponding image processing tasks of diagosis operational order.
Optionally, above-mentioned image data analytical equipment 400 further includes output module 470, for obtaining above-mentioned analysis knot
After fruit, export for prompting the completed pushed information of above-mentioned analysis.
Implement image data analytical equipment 400 shown in Fig. 4, image data analytical equipment 400 can pass through detection module
410 are detecting whether there are the target image data for meeting analysis condition from the background, and if it exists, acquisition module 420 obtains on backstage
Above-mentioned target image data, analysis module 430, which reuses image data Processing Algorithm analysis target image data, to be divided
Analysis is as a result, can analyze image data by image data Processing Algorithm, a large amount of artificial ginseng in reduction previous methods
With, and then reduce error and the time loss for manually participating in bringing；And the above process can carry out on backstage, while can hold
Other tasks of row, reduce the stand-by period, promote working efficiency.
Referring to Fig. 5, Fig. 5 is the structural schematic diagram of another image data analytical equipment disclosed in the embodiment of the present application.
As shown in figure 5, the image data analytical equipment 500 includes processor 501 and memory 502, wherein image data analytical equipment
500 can also include bus 503, and processor 501 and memory 502 can be connected with each other by bus 503, and bus 503 can be with
It is Peripheral Component Interconnect standard (Peripheral Component Interconnect, PCI) bus or extension industrial standard knot
Structure (Extended Industry Standard Architecture, EISA) bus etc..It is total that bus 503 can be divided into address
Line, data/address bus, controlling bus etc..It for ease of indicating, is only indicated with a thick line in Fig. 5, it is not intended that only one total
Line or a type of bus.Wherein, image data analytical equipment 500 can also include input-output equipment 504, input and output
Equipment 504 may include display screen, such as liquid crystal display.Memory 502 is used to store the one or more journeys for including instruction
Sequence；Processor 501 is for calling the part mentioned in the above-mentioned Fig. 1 and Fig. 2 embodiments of the instruction execution being stored in memory 502
Or all methods step.
Implement image data analytical equipment shown in fig. 5, can by detect whether from the background exist meet analysis condition
Target image data, and if it exists, image data analytical equipment is obtaining the target image data from the background, reuses image number
Analysis result can be obtained according to Processing Algorithm analysis target image data, it can be by image data Processing Algorithm to image data
It is analyzed, reduces a large amount of artificial participation in previous methods, and then reduce error and the time loss for manually participating in bringing；And
And the above process can carry out on backstage, while other tasks can be executed, reduce the stand-by period, promotes working efficiency.
The embodiment of the present application also provides a kind of computer storage media, wherein computer storage media storage is for electricity
The computer program that subdata exchanges, it is any as described in above method embodiment which so that computer is executed
A kind of some or all of image data analysis method step.
The embodiment of the present application also provides a kind of computer program product, and the computer program product includes storing calculating
The non-transient computer readable storage medium of machine program, the computer program are operable to that computer is made to execute such as above-mentioned side
Some or all of any type image data analysis method described in method embodiment step.
It should be noted that for each method embodiment above-mentioned, for simple description, therefore it is all expressed as a series of
Combination of actions, but those skilled in the art should understand that, the application is not limited by the described action sequence because
According to the application, certain steps can be performed in other orders or simultaneously.Secondly, those skilled in the art should also know
It knows, embodiment described in this description belongs to preferred embodiment, involved action and module not necessarily the application
It is necessary.
In the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, there is no the portion being described in detail in some embodiment
Point, it may refer to the associated description of other embodiment.
In several embodiments provided herein, it should be understood that disclosed device, it can be by another way
It realizes.For example, the apparatus embodiments described above are merely exemplary, for example, the unit division, it is only a kind of
Division of logic function, formula that in actual implementation, there may be another division manner, such as multiple units or component can combine or can
To be integrated into another system, or some features can be ignored or not executed.Another point, shown or discussed is mutual
Coupling, direct-coupling or communication connection can be by some interfaces, the INDIRECT COUPLING or communication connection of device or unit,
Can be electrical or other forms.
The module illustrated as separating component or unit may or may not be physically separated, and make
Modular unit is may or may not be for the component that module is shown, you can be located at a place, or can also be divided
On cloth to multiple network element.Some or all of unit therein can be selected according to the actual needs to realize the present embodiment
The purpose of scheme.
In addition, each function module in each embodiment of the application can be integrated in a processing module, it can also
That modules physically exist alone, can also two or more modules be integrated in a module.Above-mentioned integrated mould
The form that hardware had both may be used in block is realized, can also be realized in the form of SFU software functional unit.
If the integrated module is realized in the form of software function module and sells or use as independent product
When, it can be stored in a computer-readable access to memory.Based on this understanding, the technical solution of the application substantially or
Person says that all or part of the part that contributes to existing technology or the technical solution can body in the form of software products
Reveal and, which is stored in a memory, including some instructions are used so that a computer equipment
(can be personal computer, server or network equipment etc.) executes all or part of each embodiment the method for the application
Step.And memory above-mentioned includes：USB flash disk, read-only memory (Read-Only Memory, ROM), random access memory
The various media that can store program code such as (Random Access Memory, RAM), mobile hard disk, magnetic disc or CD.
One of ordinary skill in the art will appreciate that all or part of step in the various methods of above-described embodiment is can
It is completed with instructing relevant hardware by program, which can be stored in a computer-readable memory, memory
May include：Flash disk, read-only memory, random access device, disk or CD etc..
The embodiment of the present application is described in detail above, specific case used herein to the principle of the application and
Embodiment is expounded, the description of the example is only used to help understand the method for the present application and its core ideas；
Meanwhile for those of ordinary skill in the art, according to the thought of the application, can in specific embodiments and applications
There is change place, in conclusion the contents of this specification should not be construed as limiting the present application.
Claims (10)
1. a kind of image data analysis method, which is characterized in that the method includes：
Detecting whether there are the target image data for meeting analysis condition from the background；
If in the presence of the target image data are being obtained from the background；
The target image data, which are analyzed, using image data Processing Algorithm obtains analysis result.
2. image data analysis method according to claim 1, which is characterized in that described to detect whether there is symbol from the background
Close analysis condition target image data include：
Detecting whether there are the target image data for carrying analysis mark from the background,
Alternatively, detecting whether that there are the target image data from the background according to setting rule.
3. image data analysis method according to claim 2, which is characterized in that described to be examined on backstage according to setting rule
Survey with the presence or absence of the target image data include it is following any one or a few：
Detecting whether there are the target image data for scanning completion in the target time period from the background,
Alternatively, detecting whether the target image data there are target image types from the background,
Alternatively, detecting whether the target image data there are targeted scans position from the background,
Alternatively, detecting whether the target image data there are target image size from the background.
4. image data analysis method according to claim 3, which is characterized in that the method further includes：
It receives and the active inquiry of the target image data is instructed；
The target image data are obtained, detect whether that there are the corresponding analysis results of the target image data；
If being not present, executes and described analyze the target image data using image data Processing Algorithm and obtain the step of analysis result
Suddenly, and if it exists, detect the analysis result whether with current image data processing algorithm version match；
If matching, obtains the corresponding analysis result of the target image data, if mismatching, execute described using at image data
The step of target image data described in reason Algorithm Analysis obtain analysis result.
5. image data analysis method according to claim 4, which is characterized in that the method further includes：
In the case where being in idle condition, the target image number that there is the analysis condition for meeting the idle state is detected whether
According to；
If in the presence of obtaining the target image data, executing described using the image data Processing Algorithm analysis target image
Data obtain the step of analysis result.
6. image data analysis method according to claim 5, which is characterized in that the idle state includes following arbitrary
It is one or more of：
State in preset time period detects the state that askiatic data processing task executes, and detects system operatio frequency
Rate is less than the state of frequency threshold, detects that the duration for not receiving user instruction reaches the state entered after preset duration.
7. according to claim 1-6 any one of them image data analysis methods, which is characterized in that the method further includes：
During the use image data Processing Algorithm analysis target image data obtain analysis result, if detection
To diagosis operational order, execute the corresponding image processing tasks of the diagosis operational order, execute from the background it is described use image
Data processing algorithm analyzes the step of target image data obtain analysis result.
8. a kind of image data analytical equipment, which is characterized in that including being used to execute such as claim 1-7 any claims institute
The module for the method stated.
9. a kind of image data analytical equipment, which is characterized in that including processor and memory, the memory is for storing
One or more programs, one or more of programs are configured to be executed by the processor, and described program includes for holding
Row such as claim 1-7 any one of them methods.
10. a kind of computer readable storage medium, which is characterized in that the computer readable storage medium is for storing electron number
According to the computer program of exchange, wherein the computer program makes computer execute such as claim 1-7 any one of them
Method.
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