CN113571141B - Intelligent management system for mental images - Google Patents
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- CN113571141B CN113571141B CN202110632174.XA CN202110632174A CN113571141B CN 113571141 B CN113571141 B CN 113571141B CN 202110632174 A CN202110632174 A CN 202110632174A CN 113571141 B CN113571141 B CN 113571141B
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- 230000003340 mental effect Effects 0.000 title claims abstract description 24
- 238000007726 management method Methods 0.000 claims abstract description 35
- 238000013523 data management Methods 0.000 claims abstract description 24
- 230000000007 visual effect Effects 0.000 claims abstract description 12
- 238000011160 research Methods 0.000 claims description 10
- 238000012545 processing Methods 0.000 claims description 6
- 230000000903 blocking effect Effects 0.000 claims description 5
- 238000013500 data storage Methods 0.000 claims description 3
- 230000003287 optical effect Effects 0.000 claims description 3
- 230000001502 supplementing effect Effects 0.000 claims 1
- 239000013589 supplement Substances 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 238000003745 diagnosis Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 208000020016 psychiatric disease Diseases 0.000 description 2
- 241000700605 Viruses Species 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 210000004556 brain Anatomy 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 238000011841 epidemiological investigation Methods 0.000 description 1
- 238000010191 image analysis Methods 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 238000000034 method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000002610 neuroimaging Methods 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 238000003908 quality control method Methods 0.000 description 1
- 238000012772 sequence design Methods 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Classifications
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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
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/22—Indexing; Data structures therefor; Storage structures
- G06F16/2228—Indexing structures
- G06F16/2246—Trees, e.g. B+trees
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/904—Browsing; Visualisation therefor
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
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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
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The invention discloses an intelligent mental image management system, which comprises a visual mental image data management platform; the platform is constructed based on a DCMTK image storage system and a MySQL database management system, wherein the image storage system is used for receiving and storing image data and pushing the image data to a MySQL database; the database management system is used for managing the image data in the MySQL database. The image storage system based on DCMTK and the MySQL database management system are constructed, and can transmit, store and manage image files transmitted from a magnetic resonance instrument.
Description
Technical Field
The invention relates to the technical field of computers, in particular to an intelligent management system for mental images.
Background
Recent epidemiological investigation data in China show that the annual prevalence rate of seven major mental diseases in China is 9.3%, and the lifelong prevalence rate reaches 16.6%, which brings heavy burden to individuals, families and society. Along with the rapid development of the neuropsychiatric imaging technology, the brain imaging technology based on magnetic resonance opens a new era of noninvasive understanding of brain fine structure and network function of living bodies, and the novel means of psychoimaging research provides a great deal of research results for deep understanding of the occurrence and development mechanism of diseases and finding new diagnosis and treatment basis.
The magnetic resonance image data for mental image analysis has the characteristics of multiple scanning sequences, large image quantity, high confidentiality requirement and the like, so that higher requirements are put on the transmission, storage and management of the data. Reasonable scan sequence design, scan scheme optimization and strict quality control are the preconditions for providing high-quality reliable data for image diagnosis and scientific research analysis. And scientific and orderly data management, and ensuring the integrity of the image data are the basis of subsequent research and analysis.
Clinical image data can be effectively and scientifically managed due to the existence of a hospital HIS and a PACS system, but mental image data is always a difficult problem, because the existence of multiple sequences of the clinical image data leads to the fact that single image data is very large and can reach 2Gb at maximum, if the existing PACS system for managing the mental image data of a hospital is used, a large amount of resources are occupied, extra cost is brought to the operation of the hospital, and if the clinical image data is separated from the PACS system, viruses exist in modes of hard disk storage, carving and the like, data leakage and inconvenience are caused, so that an effective mental image special data management system is needed.
Disclosure of Invention
The invention aims to provide a mental image intelligent management system capable of transmitting, storing and managing image files transmitted from a magnetic resonance instrument.
In order to achieve the above purpose, the invention is realized by adopting the following technical scheme:
the mental image intelligent management system comprises a visual mental image data management platform; the platform is constructed based on a DCMTK image storage system and a MySQL database management system, wherein the image storage system is used for receiving and storing image data and pushing the image data to a MySQL database; the database management system is used for managing the image data in the MySQL database.
The database management system comprises project data management, wherein the project data management adopts a B/S architecture, and an interface of the project data management is a browser;
the local storage mode of the image storage system is a directory tree mode, and the query mode of the image data is keyword query.
The keyword query is a B+ Tree algorithm with a sequence access pointer and built in MySQL.
The visual data management platform also comprises an offline data arrangement module which is used for arranging the offline data stored in the hard disk and the optical disk to the MySQL database.
The local storage mode of the image data is a storage structure of an item- > a event ID- > a checking- > a sequence- > an image file, and the key words comprise database field names corresponding to the item and/or the event ID and/or the checking and/or the sequence and/or the image file.
And the MySQL database is positioned on a server, and the browser is installed on a terminal positioned in the same local area network with the server.
The visual data management platform comprises a login module, and accesses the data including creation and management of clinical and scientific research projects, inquiry and supplement of image data, uploading and management of clinical data, setting and management of scanning parameters and online preview and viewing of various data.
The image storage system of the DCMTK is packaged in a thread and is provided with an initialization interface, initialization parameters are obtained by reading a configuration file by an initialization function, and a configuration file processing class is provided by the DCMTK; the thread receives the image data by calling the blocking connection function waitForAssociation of DCMTK.
The browser comprises a configuration file input window; the image data is classified and stored according to patients.
The image data in the MySQL database comprises DICOM image basic information and a storage path.
The invention has the following beneficial effects:
1. the invention solves the problems of large image quantity, high confidentiality requirement, large management difficulty and the like of the mental image data, effectively avoids the possible resource waste caused by the fact that the hospital is used for storing, managing and maintaining the mental image data, and reduces the extra operation cost;
2. the invention can integrate and archive the images of the patients with mental disorder and the clinical multidimensional information, and realize the individual full-course data storage and management;
3. the invention can realize the automatic classification and management of the image data of different projects according to the patient numbers;
4. the invention can store clinical and scientific research image data separately, is convenient for the management of scientific research data, and reduces the storage pressure of a clinical PACS database;
5. the invention can realize real-time online browsing, checking and editing of images and clinical data.
Detailed Description
The present invention will be described in further detail in order to make the objects, technical solutions and advantages of the present invention more apparent.
The mental image intelligent management system comprises a visual mental image data management platform; the platform is constructed based on a DCMTK image storage system and a MySQL database management system, wherein the image storage system is used for receiving and storing image data and pushing the image data to a MySQL database; the database management system is used for managing the image data in the MySQL database.
The database management system comprises project data management, wherein the project data management adopts a B/S architecture, and an interface of the project data management is a browser; the local storage mode of the image storage system is a directory tree mode, and the query mode of the image data is keyword query.
The keyword query is a built-in B+ Tree algorithm with a sequential access pointer of MySQL.
The visual data management platform also comprises an offline data arrangement module which is used for arranging the offline data stored in the hard disk and the optical disk to the MySQL database.
The local storage mode of the image data is a storage structure of an item- > a event ID- > a checking- > a sequence- > an image file, and the key words comprise database field names corresponding to the item and/or the event ID and/or the checking and/or the sequence and/or the image file.
In order to make the whole operation fast and stable, the MySQL database is positioned on a server, and the browser is installed on a terminal positioned in the same local area network with the server.
In order to facilitate the operation of an administrator, the visual data management platform comprises a login module, and the access comprises the creation and management of clinical and scientific research projects, the inquiry and supplement of image data, the uploading and management of clinical data, the setting and management of scanning parameters and the online preview and viewing of various data. In a specific implementation process, the visual data management platform comprises a login module, and access comprises creation and management of clinical and scientific research projects, inquiry and supplement of image data, uploading and management of clinical data, setting and management of scanning parameters and online preview and viewing of various data.
The image storage system of the DCMTK is packaged in a thread and is provided with an initialization interface, initialization parameters are obtained by reading a configuration file by an initialization function, and a configuration file processing class is provided by the DCMTK; the thread receives the image data by calling the blocking connection function waitForAssociation of DCMTK.
The browser comprises a configuration file input window; the image data is classified and stored according to patients.
The image data in the MySQL database comprises DICOM image basic information and a storage path.
In a specific implementation, the DCMTK is encapsulated in the thread CMiniPACSTask, an initialization interface is externally provided, but no initialization parameter is provided, the initialization parameter directly reads the configuration file by an initialization function, the configuration file processing class is provided by the DCMTK, and specifically, the operation of writing the configuration file is added on the basis of the configuration file processing class and is matched with the interface.
In the RUN function of the thread, a blocking connection function waitForAssociation of the DCMTK is called, the function waits for a client to be connected and then is processed to communicate with the client.
In the receiving function, the original data storage mode of the DCMTK is modified, the data are stored in a classified mode according to a patient and a folder, and the storage path is stored in a database. The data pushing service is that the magnetic resonance machine sends information such as the ID or the name of the patient, and returns the image information related to the patient by searching a database.
Of course, the present invention is capable of other various embodiments and its several details are capable of modification and variation in light of the present invention by one skilled in the art without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (4)
1. Mental image intelligent management system, its characterized in that: comprises a visual mental image data management platform; the visual mental image data management platform is constructed based on a DCMTK image storage system and a MySQL database management system, the image storage system is used for receiving and storing image data and pushing the image data to a MySQL database, the local storage mode of the image storage system is a directory tree mode, and the query mode of the image data is keyword query; the database management system is used for managing image data in the MySQL database; the database management system comprises project data management, wherein the project data management adopts a B/S architecture, and an interface of the project data management is a browser;
the visual mental image data management platform also comprises an offline data arrangement module which is used for arranging the offline data stored in the hard disk or the optical disk to a MySQL database; the MySQL database is positioned on a server, and a terminal positioned in the same local area network with the server is provided with the browser;
the visual mental image data management platform also comprises the following functions: logging in, creating and managing clinical and scientific research projects, inquiring and supplementing image data, uploading and managing clinical data, setting and managing scanning parameters and previewing and viewing various data on line;
the image storage system of the DCMTK is packaged in a thread type CMiniPACSTask and is provided with an initialization interface, initialization parameters are obtained by reading a configuration file by an initialization function, and a configuration file processing type is provided by the DCMTK; the thread class receives image data by calling a blocking connection function waitForAssociation of the DCMTK;
the browser comprises a configuration file input window; the image data are classified and stored according to patients;
in the RUN function of the thread, calling a blocking connection function waitForAssociation, waitForAssociation function of the DCMTK to wait for a client to connect, then processing and communicating with the client, wherein the DCMTK realizes that data is received in a DcmQueryRetrieveSCP class by a callback function and takes a storeSCP as a receiving function;
modifying the original data storage mode of DCMTK in the receiving function, classifying and storing the data according to a patient and a folder, and storing a storage path to a database; the data pushing service is that the magnetic resonance machine sends the ID or name information of the patient, and the image information related to the patient is returned by searching a database.
2. The mental image intelligent management system according to claim 1, wherein: the keyword query is a built-in B+ Tree algorithm with a sequential access pointer of MySQL.
3. The mental image intelligent management system according to claim 1, wherein: the local storage mode of the image data is a storage structure of an item- > PatientID- > checking- > sequence- > image file, and the key words comprise database field names corresponding to the item and/or the PatientID and/or the checking and/or the sequence and/or the image file.
4. The mental image intelligent management system according to claim 1, wherein: the image data in the MySQL database comprises DICOM image basic information and a storage path.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101800775A (en) * | 2009-02-06 | 2010-08-11 | 株式会社东芝 | Medical information communication connection management device and medical information communication connection management method |
| KR20110066576A (en) * | 2009-12-11 | 2011-06-17 | 서울대학교병원 | Medical information management system and method for clinical research or clinical trial |
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| CN111436903A (en) * | 2019-07-05 | 2020-07-24 | 四川大学华西医院 | Mental image technology chain |
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2021
- 2021-06-07 CN CN202110632174.XA patent/CN113571141B/en active Active
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| KR20110066576A (en) * | 2009-12-11 | 2011-06-17 | 서울대학교병원 | Medical information management system and method for clinical research or clinical trial |
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