CN101876992A - Method for managing image data warehouse - Google Patents
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Abstract
The invention discloses a method for managing an image warehouse, which carries out efficient management on the image warehouse by using text-based image data description information. The management process comprises the steps of creating and uploading image data index files, searching keywords and downloading image data; the method comprises image data uploading and downloading; and when a client user uploads the image data to the image warehouse, the user is made to have the unique modification operation authority to the warehouse in a way of locking. The whole uploading operation and the whole downloading operation are performed through a data description file, and the data description file records the detail information of all image data such as the subfield number, the storage path and various attributes. The method has the advantages that: the same image data description files are kept in a client and a server, so that the operation of searching the image data by the user can be performed at the client, the pressure of the network and the server is lightened and the efficiency of warehouse management is fundamentally improved.
Description
Technical field
The invention belongs to technical field of image processing, relate to method for managing image data warehouse.
Background technology
The raising of the development of computing technique and computer hardware performance has promoted the development of research fields such as pattern-recognition, artificial intelligence, data mining and Flame Image Process greatly, make machine learning on super large sample training collection, to carry out, thereby obtain to have more the characteristic of division and the recognition result of specificity and susceptibility.
Increase along with the machine learning training sample set, management to the sample set data warehouse also will be vital problem, it will directly influence the storage of data and the efficient that retrieval is extracted, if data warehouse management method efficiently not is with the huge bottleneck that has been follow-up machine learning research equipment at data warehouse undoubtedly.
According to the theories of vision of Ma Er, the external information 70%-80% that the people obtains is from people's vision system (that is to say image), so one of mainly studying a question of pattern-recognition is understanding at picture material.For example in the research of computer face identification problem, often need to store a large amount of different crowds' (kind) in the view data warehouse, in the view data of different angles and illumination condition and different expression; In research at medical image, at the research of certain institutional framework or certain pathology, also often need different medical imaging patterns (such as computer tomography, magnetic resonance imaging etc.), at different imaging parameters and at the image document of different developmental phases/course of disease.Therefore, at the research contents of image certainly will relate to huge view data warehouse and with the method for managing image data warehouse of data warehouse coupling.
Existing method for managing image data warehouse all lacks data storage and retrieval obtain manner efficiently.People's face data warehouse (http://face.nist.gov/) as American National Standard and technical institute's announcement, this data warehouse is that the mode with data message composing document name realizes data qualification and searches, because the attribute information of view data only is present in the filename, this method has limited the extensibility that the high efficiency of searching and data attribute are described; For another example by the biological image of American National and bio-engineering research initiation such as the unit of grade senile dementia the neuroimaging project (
Http:// www.adni-info.org/), a large amount of medical images are stored in server end, and retrieving all is to finish by the computer program of server end, and this mode has increased load of server undoubtedly, when especially the external reference amount increased, the influence of this retrieval rate was with particularly evident.
Therefore total conclusion is got up, and existing at present method for managing image data warehouse has the following disadvantages:
1. can easily arbitrarily not expand at the description scheme of view data, it can not be satisfied based on the scientific research of view data view data is described the multifarious demand of characteristic attribute;
2. the storage of imaged image data and numbering can not reflect the relevance between the view data, such as the relation between different time points or the different images drainage pattern acquired image data, can not well obtain embodying;
3. view data uploading with downloading process on server all finished at server end, and this design has increased the burden of server end, influenced at the uploading of data warehouse, retrieval and speed of download;
4. when in the user need comform the multilevel image data result for retrieval, selectively downloading partial results, there is not the method for well optionally downloading in batches.
Therefore, at the background demand of Computer Image Processing research, and the deficiency that has method for managing image data warehouse at present, we have proposed a kind of new method for managing image data warehouse.
Summary of the invention
View data warehouse recall precision is not high in the prior art, the storage/retrieval keyword expansion is bad in order to solve, and related indefinite problem between data and the data, the present invention seeks to propose the method for managing image data warehouse that a kind of text based can be expanded, can efficient storage/retrieval/download.
For reaching described purpose, the invention provides the management method in a kind of view data warehouse, be to utilize text based view data descriptor, the imaged image data warehouse is carried out rapidly and efficiently management, and this management process comprises the uploading of generation, view data of view data view data description document, the keyword retrieval of view data and the download of view data; This method is divided into view data to be uploaded and the work of image data download two-way, and the step of realization is as follows:
Wherein view data is uploaded and is comprised:
Step su1: client terminal start-up view data upload operation is prepared to upload new image data, and is connected to the server that will operate;
Step su2: utilize lock to the operation that the view data warehouse of operated server locks, operate successfully, make synchronization have only a client to have the view data warehouse is carried out the alterability operation permission if lock; If it is unsuccessful to add latching operation, client does not have carries out the alterability operation permission to the view data warehouse;
Step su3: client is carried out the alterability operation with the alterability operation permission to the view data warehouse, the visitor downloads index file from server end earlier by client, the time attribute of the index file of client indexes file and server is compared, if the time attribute unanimity of comparison, the view data index file of client is identical with the index file content of server, if the time attribute of comparison is inconsistent, then cover the index file of client, be used to guarantee that all alterability operations are to carry out in up-to-date view data warehouse with the index file of server end; The last view data index file that on client, forms;
Step su4: client is the title of the new acquisition of image data of input earlier, whether client can be retrieved this title and exist in the index file of client, obtain result for retrieval, judge whether relevant property of the view data of new collection and the existing view data of server end by the user of client; If there is not relevance, will directly accumulate being numbered RCCM (x to new acquisition of image data
1x
2x
3x
4... x
n+ 1) _ sMRI; If there is correlativity, at the existing view data of enumerating in the result for retrieval that is associated, the user of client selects the k time collection of this new acquisition of image data according to the title of new acquisition of image data, after existing numbering, add tested times of collection suffix k then, generate the RCCMx that is numbered of new acquisition of image data
1x
2x
3x
4... x
n_ sMRI_k, in the formula, RCCM represents data affiliated unit, x
1x
2x
3x
4... x
nThe expression data with existing is numbered, and wherein n and k are natural number, and sMRI is the abbreviation of image type in the view data, so the different images type of different field is somebody's turn to do the corresponding difference of abbreviation meeting;
Step su5: with the RCCM (x that new acquisition of image data is generated
1x
2x
3x
4... x
n+ 1) _ sMRI or RCCMx
1x
2x
3x
4... x
n_ sMRI_k is numbered the description document beginning of new acquisition of image data, and the generation user retrieves needed keyword and key assignments thereof to the view data warehouse, the antistop list registration is represented the corresponding property value of classification of this feature according to a kind of classification of feature, the key assignments corresponding with keyword, and the new image data description document of generation is a text-only file;
Step su6: the new acquisition of image data description document of client user's handle is put into the file at this new acquisition of image data place, the view data warehouse that this document folder is uploaded onto the server together and held then;
Step su7: after the server end view data has new image data to upload, server end upgrades the index file in this view data warehouse accordingly according to this user instruction that upgrades the client at place, the renewal process of view data warehouse index file is exactly the description document that there is view data corresponding in the catalogue upgraded and this catalogue in all in time of user's appointment in this view data warehouse of retrieval, the new description document that obtains being updated, extract the new description document be updated again respectively and corresponding deposit the path and compare with this server end existing index file, if exist the view data numbering to repeat, then cover the corresponding contents of server end existing index file with new description document that is updated and path thereof; If numbering does not repeat, then new description document that is updated and path thereof are added in the server end existing index file, thereby obtain the new index file that is updated in whole image data warehouse, so far, update image data warehouse index file finishes;
Step su8: the lock that is provided with among the step su2 is opened, and client discharges the control authority to server end, makes other user to this server data warehouse the renewal authority be arranged, thereby to the release of view data warehouse;
Wherein image data download comprises:
Step sd1: the user of client starts the image data download operation, and is connected to the server that will operate;
Step sd2: the user of client carries out synchronous operation to the view data index file of the view data index file of client and server end, generate up-to-date index file in client, make that the view data index file content of the image index file of client and server end is identical, thereby the retrieving that guarantees the user carries out on up-to-date view data warehouse;
Step sd3: the user is after client has obtained up-to-date index file, and keyword and key assignments that input will be retrieved are searched for, and is met the right view data directory listing of keyword key;
Whether step sd4: the user of client carries out preview to the image in the view data directory listing, be own expected result with the result who determines search;
Step sd5: in the view data directory listing that search obtains, adopt all view data that need of file check box final election, needed view data is carried out batch download.
Wherein, described lock and the operation of release is at view data warehouse inlet the Boolean variable that a called after " locks " to be set, when this Boolean variable be " very ", this view data warehouse was temporarily locked and can not be visited simultaneously by other user; When described alterability EO, view data is uploaded when finishing, and this Boolean variable is set to " vacation ", and then the view data warehouse is in " release " state.
Wherein, the view data index file of described client is identical with the index file content of server is that the view data index file of client is made up of the index file in all view data warehouses when having a plurality of different view data warehouse.
Wherein, described view data description document is the user above-mentioned view data numbering and keyword: the hand-written one-tenth view data of key-value pair description document, or design table (schedule) allows the user fill in a form, and allows computer programming language become the view data description document then.
Wherein, the keyword of described needs represents that the different field acquisition of image data is different to the description of keyword according to the actual requirements, the user is according to keyword: the rules for writing of key assignments expand keyword: the key assignments key-value pair, in order to the descriptive power of expansion at the keyword of the acquisition of image data of newly arriving, thereby generation is at the description document of new acquisition of image data.
Wherein, described synchronous operation is exactly that the view data index file in each view data warehouse is downloaded to client, generate a unified overall index file according to these index files then, this overall index file is that each view data index file is spliced.
Wherein, all view data that need of described file check box final election, when perhaps the user of client needs a plurality of results among all results, the needed result who searches in user's final election at this moment carries out disposable download.
Beneficial effect of the present invention:
A, the describing method of relevance between the view data in the view data description document.The view data of different batches collection often have time/and spatial point on relevance, the present invention realizes that in the mode of data being carried out multistage numbering the relevance between the different batches view data describes; The numbering form of the view data that generates is RCCMx
1x
2x
3x
4... x
n_ sMRI_k, in the formula, RCCM represents data affiliated unit, x
1x
2x
3x
4... x
nExpression one-level data number, n wherein, k is a natural number, sMRI is the abbreviation of image type in the view data, so the different images type of different field should abbreviation can be corresponding different; If the x of two groups of data numbers
1x
2x
3x
4... x
nField is identical, and then showing has the one-level association between them, if the sMRI field is also identical, shows that then they have the secondary association, and last field k is illustrated in the k secondary data collection under the identical situation of aforementioned all categories attribute;
B, view data is by the process of client upload to server end, and the user need not be provided with/and recording image data is at the Actual path of server end storage, and this path will be discerned by this inventive method in the process that view data warehouse index file generates automatically.After a certain view data warehouse was updated, this inventive method can the corresponding index file that upgrades this view data warehouse.This process be exactly retrieval in this warehouse all catalogues and this catalogue in the description document of correspondence image data.Extract the path of depositing of all description document and correspondence respectively, obtain the index file in whole image data warehouse.Certainly, in the practical operation, the index file of server end does not need the whole image data warehouse is carried out whole process scanning in each the renewal, only need travel through and get final product the related view data of this renewal operation, this partial sweep can be finished by " time " attribute of checking file, only scans 2 hours files with interior renewal such as being designed to.
C independently generates the view data index file in this warehouse at each view data warehouse, generates unified image file in client then.When the user retrieves the view data warehouse at every turn, need earlier the index file of local view data index file and server end to be carried out synchronous operation.This method all is to carry out in this locality in order to the each view data search operaqtion of assurance user, thereby has fundamentally alleviated the burden of server end, has guaranteed effectiveness of retrieval.Synchronous operation is exactly that the view data index file in each view data warehouse is downloaded to local client, generate a unified overall index file according to these index files then, this overall index file can be that the direct simple concatenation of each view data index file forms.
D, whole retrieving all is based on keyword to carry out, and keyword can upgrade and adjust at any time, especially for the view data of new interpolation, the user can reset keyword as required, thereby has guaranteed that image-data management method has good expandability.For example, often relate to keyword shown in accompanying drawing 4 and accompanying drawing 6 based on the research of the neuropsychiatric disease of image, the user can add new " keyword: key assignments " at any time to satisfying newly going into the feature description demand of set of image data certainly.
Description of drawings
Fig. 1 is the inventive method overall procedure synoptic diagram.Wherein left frame represents to carry out the view data warehouse user of read/write operation, and su* represents each number of steps of whole image data upload procedure, and sd* represents each number of steps of whole image data downloading process.
Fig. 2 is that the inventive method generates view data sequence number process flow diagram.
Fig. 3 is the synoptic diagram of client view data index file of the present invention and server end view data index file synchronizing process.
Fig. 4 is the inventive method client view data index file organization structural representation.
Fig. 5 is that the inventive method result for retrieval shows with the tree-shaped form that contains check box, to make things convenient for the user required result's batch is downloaded.
Fig. 6 is a view data example description document.
Embodiment
For the ease of the understanding of the present invention, describe each related detailed problem in the technical solution of the present invention in detail below in conjunction with accompanying drawing.Be to be noted that described embodiment does not play any qualification effect to the present invention.
Introduce embodiments of the invention below, the embodiment of the invention only is applied to the system of Medical Imaging data image data management for example.But the embodiment of the invention is not limited only to this, is applied to the other technologies field and does not repeat them here.
Be applied to the system of Medical Imaging data image data management, clinical application research at the medical image data view data, comprise diseases analysis (senile dementia, schizophrenia etc.), and behavioral study, as the relation in principle, IQ and the brain district of human thinking activity etc., they all are the statistical conclusions that draws on statistical significance according to the image data view data, therefore an important platform problem facing of these research institutes is exactly the management in mass data view data warehouse, comprises storage, retrieval or the statistics etc. of image data view data.
As Fig. 1 block diagram, whole invention system architecture and flow process have been described.
Step su* represents that the user carries out each step that view data is uploaded operating process such as renewal to the view data warehouse, and sd* represents that the user downloads each step of required image process operation data from the retrieval of view data warehouse.Step su2 and su8 lock and the operation of release to operated image data base, this is can only have a user to carry out the alterability operation in order to realize simultaneously to same view data warehouse, and purpose is the uniqueness in order to guarantee that image data storage is described.The view data warehouse is carried out alterability operation begin this warehouse is locked, this operation is finished after this warehouse is carried out release, thus release alterability operating right.
Step su1: the user starts the operation that view data uploads to the view data warehouse;
Step su2: utilize digital phase-locking that operated image data base is locked and the operation of release; , by at view data warehouse inlet the Boolean variable that a called after " locks " being set, when this Boolean variable was " very ", this view data warehouse was temporarily locked and can not be visited simultaneously by other user; When above-mentioned alterability EO, view data is uploaded when finishing, and this Boolean variable is set to " vacation ", is in " release " state, makes synchronization have only a user that the view data warehouse is carried out the alterability operation;
Step su3: synchronous operation allows the view data index file of the client that the user uses and the index file of server end keep synchronously, is used to guarantee that all alterability operations are to carry out in up-to-date view data warehouse.Synchronous operation is exactly that the up-to-date view data index file in each view data warehouse is downloaded to local client, generate a unified overall index file according to these index files then, this overall index file can be that the direct simple concatenation of each view data index file forms; Similarly, the view data warehouse of server end all will upgrade operation to the view data index file of this server end after each the renewal, and this will produce the source that the client indexes file upgrades among the step su3.The index file of server end does not need the whole image data warehouse is carried out whole process scanning in each the renewal, only need travel through and get final product the related view data of this renewal operation, this partial sweep can be finished by " time " attribute of checking file, only scans 2 hours files with interior renewal such as being designed to.This design philosophy can well keep the view data of client and server end synchronous all the time, also avoided the user when each connection layout is as data warehouse, to upgrade index file and waiting as long for of causing temporarily, especially when the view data warehouse was bigger, this stand-by period was with very important.The last view data index file that forms on client has shown view data numbering, path as shown in Figure 4, and other information relevant with configuration file.Detailed operating process specifies in Fig. 3, also detailed introduction will be arranged in the chapters and sections below.
Step su4 treats the view data of uploading to carry out exclusive number, this numbering should be considered uniqueness, also to consider the relevance between some view data, such as in order to carry out at the follow-up study of a certain chronic disease on continuous time point, the repeatedly image data acquiring that may relate to this subject, relevance between these view data will can embody from numbering, and makes the user can come into plain view to the view data attribute when using view data.This inventive method has adopted the mode of segment encoding, specifically has a detailed description in Fig. 2, also can further describe in ensuing branch is introduced.
Step su5 is the generation of view data description document, and it will produce needed keyword of user and key assignments thereof, and this is the basis at the retrieval of view data warehouse.This class keyword is according to the nearly 10 years empirical design of inventor place seminar, and has good expandability.Consider that along with science and technology development new neuropsychiatric disease and new parameter index all can emerge, so only need simply rules for writing according to " keyword: key assignments " to expand and get final product.
Among the step su6, after having generated the view data numbering and view data description document that is associated with view data, the user just can upload to the view data warehouse together with view data, and, in theory, the user does not need the deposit position of being concerned about that view data is concrete when uploading, and specifically deposits the path because server end can the self-verifying view data when upgrading its index file.
The image data download process is simple relatively.The user at first needs through step sd2 the view data index file of the view data index file of client with server end to be carried out synchronously, makes that the retrieving that guarantees the user is to carry out on up-to-date view data warehouse.Keyword and the key assignments that will retrieve by step sd3 input searched for then, carries out preview by step sd4, and final step sd5 downloads needed result.The user carries out the batch download to needed view data for convenience, and inventive method has designed the file check box, can all results that need of final election download in batches.The Search Results synoptic diagram is arranged among Fig. 5.
Fig. 2-Fig. 5 has explained the exemplary operations process of several important steps among Fig. 1 respectively.
The user uploads view data and only need simply fill in a view data description document to the view data warehouse and get final product; Same, user inquiring is also downloaded needed view data, also only need to key in own desired keyword and get final product, and download before also can easily preview retrieves image.The method of medical image image data management of the present invention, it is integrated uploading of view data, view data sequence number generate, the serial operating process such as generation, view data retrieval, view data preview and image data download of view data description document;
The user does not need to consider the specifically memory location on server when uploading view data, can arbitrarily leave in the server, and this system can generate search index automatically according to uploading the file that view data carries, and makes things convenient for the user to retrieve efficiently;
The user is when uploading view data, this inventive method can be carried out local view data index file inquiry according to subject's name of user's input, examine the view data whether same subject is arranged in the view data warehouse, itemize out the description document of these view data then, whether be continuous acquisition (for example at certain disease patient's tracking follow up a case by regular visits to) same tested place different time points on, allow the user determine whether view data is carried out the relevance numbering if reminding this to upload view data; If system will generate the secondary numbering that the user can discern to this view data;
Special " remarks " subregion is arranged in the view data description document file, be designated " # describes the district ", this is in order to satisfy the multifarious demand of imaged image data, for example, the view data that has is to carry out at certain concrete experimental duties design, can be described in this part, system equally can be according to keyword retrieval;
The generation of view data description document can be undertaken by a shirtsleeve operation interface, and most contents all is directly to select by drop-down menu; Fill substance in the interface has carried out subregion according to the form of clinical scanning, and is simple and clear;
The keyword of view data retrieval can be keyword option (item), also can be key feature speech (keyword); The latter mainly be at " # describes the district " carry out;
The view data search inquiry can be to carry out on this machine, also can be to carry out on the long-range FTP that has login (download) authority;
In order to realize that from the high-speed downloads in view data warehouse, the multithreading setting has been opened by system.Certainly, this needs the other side's view data warehouse server to allow to use multithreading to download;
System can show with tree-shaped catalogue the result who arrives according to keyword retrieval, and the user can live preview view data image and corresponding view data description document;
In the tree-shaped catalogue of Search Results, the user can be on certain file right mouse button select " individual layer downloads " or " recurrence download ", thereby realization is only downloaded son file in this grade catalogue or recurrence and is downloaded All Files and sub-folder content under this catalogue;
Download the view data of a plurality of files in the Search Results for convenience in batches, system can be provided with check box (checkbox) on all folder node, make the user can download all content selected easily;
In order to improve view data keyword retrieval efficient, avoid retrieving at server retrieves all on long-range FTP, carrying out at every turn, the user can be chosen in and generate the data description index file on the local hard drive, owing to be text-only file all, so do not take too much hard drive space;
Research at medical image processing tends to relate to a large amount of iconography view data; especially at clinical practice; usually can adopt the imaged image data of large sample, comprise the tested of large group, the image data acquiring of perhaps single tested a plurality of time points.Therefore these software systems with regard to a managing image data warehouse of exigence solve the serial operating process such as storage, retrieval, preview and download that comprise view data.
The present invention proposes in order to address the above problem, and the image-data management system of coming out is summed up by seminar in the research accumulation.This system mainly is divided into three parts: view data is uploaded, view data is retrieved and image data download.
View data is uploaded
View data is uploaded the generation that part mainly solves the respective image data description document, because upload procedure does not need the user to consider the memory location of view data on server, the retrieving of view data mainly carries out according to index file exactly.Not only comprised the main information in conventional digital imagery and Interchange Format (hereinafter to be referred as the DICOM) header file in this index file, address name for example, contact method and some sweep parameters etc., and comprised at the more useful specialized information of medical image research, the for example tested pathology and the course of disease, whether take medicine, IQ (hereinafter to be referred as IQ), lab design and tested behavior or the scoring of emotion scale etc., because these information play central role in based on the disease research of image or behavioural analysis, so this class view data description document often has more researching value than DICOM header file.
The generation of view data description document also comprises the generation of view data numbering (sequence number), and this sequence number and view data are one to one.In the medical image analysis of image data; usually can relate at a certain tested tracking and following up a case by regular visits to; such as research to Alzheimer disease (AD); from normal person (Normal); develop into mild cognitive impairment (MCI); arrive AD again; this process is understood the time of lasting for years usually; developing into AD from MCI approximately is the time in 3 years to 5 years; human brain is in the variation that has on the iconography on many corresponding structure and the function during this; such as the variation of cortex thickness and complexity, the expansion or the atrophy of hippocampus part, activity change on the brain zone function or function connect variation.Therefore whole research process will comprise structure magnetic resonance (sMRI) repeatedly to the tested brain image scan that carries out, functional MRI (fMRI), and diffusion magnetic resonance (dMRI) etc.These view data are separate on iconography, but but are additional mutually and checking in the research of disease.So the view data numbering that we produced should be represented the unique identification to certain view data, shows the continuity between the view data again.
We adopt syllogic that view data is numbered.For the data of new collection, whether we earlier earlier have duplication of name according to subject's name look-up, if there is no bear the same name, and then directly add 1 on chief editor number, are adding the numbering of imaging pattern as second field; If exist to bear the same name, then data typing person will judge whether this data acquisition is relevant with data with existing according to the duplication of name result who enumerates, if uncorrelated, then catch up with and states the situation of not bearing the same name and equally handle; If relevant then judge this new data whether for following up a case by regular visits to sequence according to data with existing, and be which time collection of sequence in gathering, this time numerical value is as the 3rd field number, and second field number still is the imaging pattern of this collection.
Therefore, end is got up, if tested is Zhang San, his the structure nuclear magnetic resonance image view data numbering second time may be: RCCM00035_sMRI_2, first field is that (RCCM is for calculating medical center, Research Center for ComputationalMedicine for total independent image data bulk numbering.This prefix user can preset), second field is that scintigram 2 illustrates system's generation view data sequence number process flow diagram.
The 3rd field is which time scan image data of this this mode of people.Some the time, when especially normal controls scanning is tested, if be Zhang San, perhaps Zhang San participates in sMRI scanning for the first time, but the purpose of front and back is not the contrast experiment who does on the different time points, therefore first field number can't be identical, though be same individual, is independently on the view data meaning.That is to say that our view data numbering is not distinguished with the people, but distinguish with the independence of view data, this will be in the subsequent images data retrieval be used the crucial meaning of performance.This also is the basic thought of total system design.Conclusion is got up, and the generation of view data numbering can be according to the flow implementation that generates the view data sequence number among Fig. 2.
View data description document agreement is the supplementary notes of user to view data or keyword section with the behavior description field of " # " beginning.This part can not followed the rules for writing of " keyword: key assignments ", arbitrarily writes according to user's request and description custom, the keyword commonly used of implication to be expressed should occur as far as possible yet.
The person fills in the view data description document in order to further facilitate the image data acquiring, and the readme.txt of this system User Interface adopts multiple solution to reduce workload.At first, system adopts drop-down menu in a large number, such as disease type, and sweep parameter etc., the user only needs to select to get final product from drop-down menu; In addition, system adopts interim memory style, tested for same mass scanning like this, more information may all be identical, such as all being the blind person, perhaps experiment purpose design etc., so the user is in same mass scanning, basic only need fill in one tested, other most information can generate automatically.In addition, fill in the corresponding simple declaration of Qu Douyou at each, pointed out should the zone this how to fill in.
The view data retrieval
The retrieval of view data is carried out at the correspondence image data description file, also is divided into two types substantially.First kind is according to keyword option and key assignments search, such as the age option, and the age: 43 (by the concrete age), perhaps age: 35-50 (age-based interval); Another kind is that search described in keyword, such as the assignment decisions (Decision Making) in functional MRI image (hereinafter to be referred as the fMRI) experiment, related descriptive keyword may comprise " money ", " repayment " or " three months " etc., these keywords all can appear at keyword and describe the district, #description, be used for describing the original intention of this image data acquiring, they also are the fundamental basis of doing assignment decisions research at human brain.
In order to improve search efficiency, this inventive method can be so that whole search procedure be carried out on the view data description document of client, and this just need set up local index to long-range view data description document (perhaps local view data description document of disperseing storage).Local index file synchronously will occur with the descriptor format of Fig. 4.
View data upload and downloading process must be earlier synchronous the data description file of the data description file of client and server end.When uploading data, earlier the data warehouse is locked, make the operation of this property upgraded have the authority of monopolizing, other user can't change data warehouse simultaneously.Renewal finishes behind (upload or revise) data warehouse, regenerates new data description file at server end again, and this index file is for the next time of uploading or using during down operation at this database.Similarly, the user is from the data warehouse data download time, after the log-on data warehouse management procedures is connected to data server, at first synchronous the data description file of the data terminal of the data description file of client and server end, and then retrieve operations such as download.Summary is got up, and client view data index file and server images data directory file are synchronous by process shown in Figure 3.
This index file is updated the back by each server in view data and generates corresponding new version, and view data is upgraded and included that new view data is uploaded, view data moves catalogue and operation such as view data deletion; The user is after being connected to server, and automatically synchronous this new version of meeting also adds on the own local search index.This Design Mode both guaranteed server and the good view data of client synchronously more new relation, also avoided the user in time that the client awaits index file generates.
The number of searching key word and field setting can freely be provided with according to user's request.
Fig. 4 client indexes file organization structural representation.This document comprises data number, store path, and, comprise the coordination responsible official and the acquisition time of this secondary data data acquisition, subject's name, sex, contact method etc. at the descriptor of these data.
Result for retrieval after keyword is selected is shown to the user with tree-shaped catalogue, and the user can carry out preview to DICOM image and corresponding view data description document, is positioned at different windows respectively simultaneously, checks and confirms whether it is the view data that oneself needs.And the preview of image also has different aids, such as adjusting of gray scale window and convergent-divergent etc.
Image data download
Image data download is primarily aimed at remote image data server images data management design.Download partial design multithreading download downloading mode, the user can be according to the oneself network bandwidth and the free selection wire number of passes of requirement for restriction of image data server, in order to maximize speed of download.In addition, on catalogue was downloaded, system was provided with " choosing " (checkbox) check box on each catalogue,
Fig. 5, result for retrieval show with the tree-shaped form that contains check box, download in batches with convenient.End user can carry out batch to all check boxes of having chosen and download, and this meets the demand of batch contrast experiment in the medical image analysis of image data fully.Its effect as shown in Figure 5.
In addition, download for single catalogue, system be provided with also that the individual layer catalogue is downloaded and this catalogue with and the recurrence of all sub-directories download.
One of main innovation of this invention system is the design and the classification of image data structure.We are divided into five classes to retrieving information: the scan task brief introduction, and tested general information, tested clinical information, scanning machine parameter and experimental design are described, and each specifying information that comprises is as follows.
The scan task brief introduction.The overall coordination responsible official, time, address and the radiation doctor that comprise scanning this time.
Tested general information.Comprise the person's of being scanned name, sex, contact method and a left side/dextro manuality.
The general information of tested and whole experiment, these information have in the DICOM of routine file.What describe in ensuing several block diagram is exactly that the DICOM file can not satisfy these demands with the tight clinical information of clinical research.It among Fig. 6 view data example description document.
Tested clinical information.Comprise whether disease and kinds of Diseases are arranged, IQ, age, education degree, and the correlation parameter information of various diseases.
The scanning machine parameter.Comprise the corresponding clinical scanning parameter of various mode scannings.
Experimental design is described.Comprise this time Experimental design original intention, comprise experimental design (allow the tested picture of seeing, perhaps answer etc.), and the basic problem that will study.
The above; only be the embodiment among the present invention; but protection scope of the present invention is not limited thereto; anyly be familiar with the people of this technology in the disclosed technical scope of the present invention; can understand conversion or the replacement expected; all should be encompassed in of the present invention comprising within the scope, therefore, protection scope of the present invention should be as the criterion with the protection domain of claims.
Claims (7)
1. the management method in a view data warehouse, it is characterized in that, be to utilize text based view data descriptor, the imaged image data warehouse is carried out rapidly and efficiently management, and this management process comprises the uploading of generation, view data of view data view data description document, the keyword retrieval of view data and the download of view data; This method is divided into view data to be uploaded and the work of image data download two-way, and the step of realization is as follows:
Wherein view data is uploaded and is comprised:
Step su1: client terminal start-up view data upload operation is prepared to upload new image data, and is connected to the server that will operate;
Step su2: utilize lock to the operation that the view data warehouse of operated server locks, operate successfully, make synchronization have only a client to have the view data warehouse is carried out the alterability operation permission if lock; If it is unsuccessful to add latching operation, client does not have carries out the alterability operation permission to the view data warehouse;
Step su3: client is carried out the alterability operation with the alterability operation permission to the view data warehouse, the visitor downloads index file from server end earlier by client, the time attribute of the index file of client indexes file and server is compared, if the time attribute unanimity of comparison, the view data index file of client is identical with the index file content of server, if the time attribute of comparison is inconsistent, then cover the index file of client, be used to guarantee that all alterability operations are to carry out in up-to-date view data warehouse with the index file of server end; The last view data index file that on client, forms;
Step su4: client is the title of the new acquisition of image data of input earlier, whether client can be retrieved this title and exist in the index file of client, obtain result for retrieval, judge whether relevant property of the view data of new collection and the existing view data of server end by the user of client; If there is not relevance, will directly accumulate being numbered RCCM (x to new acquisition of image data
1x
2x
3x
4... x
n+ 1) _ sMRI; If there is correlativity, at the existing view data of enumerating in the result for retrieval that is associated, the user of client selects the k time collection of this new acquisition of image data according to the title of new acquisition of image data, after existing numbering, add tested times of collection suffix k then, generate the RCCMx that is numbered of new acquisition of image data
1x
2x
3x
4... x
n_ sMRI_k, in the formula, RCCM represents data affiliated unit, x
1x
2x
3x
4... x
nThe expression data with existing is numbered, and wherein n and k are natural number, and sMRI is the abbreviation of image type in the view data, so the different images type of different field is somebody's turn to do the corresponding difference of abbreviation meeting;
Step su5: with the RCCM (x that new acquisition of image data is generated
1x
2x
3x
4... x
n+ 1) sMRI or RCCMx
1x
2x
3x
4... x
n_ sMRI_k is numbered the description document beginning of new acquisition of image data, and the generation user retrieves needed keyword and key assignments thereof to the view data warehouse, the antistop list registration is represented the corresponding property value of classification of this feature according to a kind of classification of feature, the key assignments corresponding with keyword, and the new image data description document of generation is a text-only file;
Step su6: the new acquisition of image data description document of client user's handle is put into the file at this new acquisition of image data place, the view data warehouse that this document folder is uploaded onto the server together and held then;
Step su7: after the server end view data has new image data to upload, server end upgrades the index file in this view data warehouse accordingly according to this user instruction that upgrades the client at place, the renewal process of view data warehouse index file is exactly the description document that there is view data corresponding in the catalogue upgraded and this catalogue in all in time of user's appointment in this view data warehouse of retrieval, the new description document that obtains being updated, extract the new description document be updated again respectively and corresponding deposit the path and compare with this server end existing index file, if exist the view data numbering to repeat, then cover the corresponding contents of server end existing index file with new description document that is updated and path thereof; If numbering does not repeat, then new description document that is updated and path thereof are added in the server end existing index file, thereby obtain the new index file that is updated in whole image data warehouse, so far, update image data warehouse index file finishes;
Step su8: the lock that is provided with among the step su2 is opened, and client discharges the control authority to server end, makes other user to this server data warehouse the renewal authority be arranged, thereby to the release of view data warehouse;
Wherein image data download comprises:
Step sd1: the user of client starts the image data download operation, and is connected to the server that will operate;
Step sd2: the user of client carries out synchronous operation to the view data index file of the view data index file of client and server end, generate up-to-date index file in client, make that the view data index file content of the image index file of client and server end is identical, thereby the retrieving that guarantees the user carries out on up-to-date view data warehouse;
Step sd3: the user is after client has obtained up-to-date index file, and keyword and key assignments that input will be retrieved are searched for, and is met the right view data directory listing of keyword key;
Whether step sd4: the user of client carries out preview to the image in the view data directory listing, be own expected result with the result who determines search;
Step sd5: in the view data directory listing that search obtains, adopt all view data that need of file check box final election, needed view data is carried out batch download.
2. according to the described method for managing image data warehouse of claim 1, it is characterized in that, described lock and the operation of release is at view data warehouse inlet the Boolean variable that a called after " locks " to be set, when this Boolean variable was " very ", this view data warehouse was temporarily locked and can not be visited simultaneously by other user; When described alterability EO, view data is uploaded when finishing, and this Boolean variable is set to " vacation ", and then the view data warehouse is in " release " state.
3. according to the described method for managing image data warehouse of claim 1, it is characterized in that, the view data index file of described client is identical with the index file content of server to be that the view data index file of client is made up of the index file in all view data warehouses when having a plurality of different view data warehouse.
4. according to the described method for managing image data warehouse of claim 1, it is characterized in that, described view data description document is that the user numbers above-mentioned view data and keyword: the hand-written one-tenth view data of key-value pair description document, or design table (schedule) allows the user fill in a form, and allows computer programming language become the view data description document then.
5. according to the described method for managing image data warehouse of claim 1, it is characterized in that, the keyword of described needs represents that the different field acquisition of image data is different to the description of keyword according to the actual requirements, the user is according to keyword: the rules for writing of key assignments expand keyword: the key assignments key-value pair, in order to the descriptive power of expansion at the keyword of the acquisition of image data of newly arriving, thereby generation is at the description document of new acquisition of image data.
6. according to the described method for managing image data warehouse of claim 1, it is characterized in that, described synchronous operation is exactly that the view data index file in each view data warehouse is downloaded to client, generate a unified overall index file according to these index files then, this overall index file is that each view data index file is spliced.
7. according to the described method for managing image data warehouse of claim 1, it is characterized in that, all view data that need of described file check box final election, when perhaps the user of client needs a plurality of results among all results, at this moment the needed result who searches in user's final election carries out disposable download.
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