CN104331469A - Multi-disease image feature library system for medical association - Google Patents
Multi-disease image feature library system for medical association Download PDFInfo
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Abstract
The invention provides a multi-disease image feature library system for medical association. The multi-disease image feature library system for medical association is characterized by comprising a multi-disease image feature library based on regional medical treatment big data, a sample data typing-in module for realizing functions of inquiring, editing, displaying and filing of sample material data, an image feature library function module for realizing functions of inquiring, transmitting, displaying, managing and counting of feature case data and a system management module which is in charge of daily maintenance. The system specifically comprises the sample data typing-in module, the image feature library function module and the system management module. The image feature library system can be applied to auxiliary diagnosis. Image samples based on a medical association data platform can be combined with data such as physical sign, discharge diagnosis and pathological diagnosis of a patient and image description content so as to perform large-data-volume mining analysis to find rules within, so that the multi-disease image feature library system plays a great role in assisting doctors in performing image diagnosis on similar diseases.
Description
Technical field
The present invention relates to a kind of application of large data mining technology, be specifically related to set up a kind of many sick kind image feature software systems.
Background technology
Current China tertiary hospitals has PACS system mostly, and to achieve in the institute of image data unified stores and calls, and in Beijing, Shanghai, the ground such as Jiangsu also built up multiple area image Sharing Center, and the image achieved in region is shared and remote diagnosis.The research of image information has also turned to large market demand gradually.Be no matter rising suddenly and sharply of the raw video data volume brought of the development of medical imaging equipment, or in hospital or the building up in a large number of area medical association, create many platforms having the large data of huge image data.
" doctor's connection engineering " project of all diagnosis and treatment data of 34 tertiary hospitals in the covering whole city of Shen, Shanghai health Development of Hospital centre management, complete 27 (4 branches) tertiary hospitals PACS systems connection work at present, define the area image data center of average daily about 150GB.This image data platform have collected a large amount of cases, and the image check data that doctor joins image center existing have reached more than 1,900 ten thousand person-times at present.
The mass data existed in doctor's connection platform is all considered to very high value all the time, and include all kinds of diagnosis and treatment data in these data, image class data are wherein very huge undoubtedly.How can through the presentation of data find from the data of these magnanimity be hidden in data behind as information such as the relation between data, data characteristics and data predictions of the development trend? how about therefrom can arrange out valuable to the diagnosis of disease and even patient is survived valuable information, the aspects such as supply medical education, aid decision making and medical research use, thus improve quality of medical care and service quality? these demands force us to introduce the instrument of large means of numerical analysis and some valid data modelings, solve Problems existing in the construction of these area medicals.
In states such as the U.S. that digitization system is comparatively popularized and Japan and Korea S., the training of digital soft read tablet has become the compulsory course of medico, therefore based on the image feature data bank of PACS system, just becomes stable and Large Copacity, high speed teaching platform.By facts have proved, utilize image feature storehouse can save the medical imaging Teaching preparation time of 75%, improve clinical learning efficiency about 40%.Compared with traditional hospital, adopt medical institutions' image in image feature storehouse professional Training Residents cycle time 3-6 month, clinical speciality resident medical imaging examination score value height 7-16%.Image feature data bank can provide strong backing for clinical different levels teaching, makes the realization of clinic autonomy-oriented become possibility.
Summary of the invention
After the object of the invention is to analyze the mass data that doctor's connection engineering image data platform stores, therefrom excavate meet disease clinical diagnosis, have stronger distinctive case set up area medical many disease plant image feature storehouse, carry out diagnostic imaging to doctor in institute and impart knowledge to students learning to play important reference and supporting function, in institute, the research work of expert provides data reference.
The invention provides a kind of doctor's connection image feature storehouse system, it is characterized in that, the many diseases comprised based on the large data of area medical plant image feature storehouses, the inquiry realizing sample material data, editor, the sample data typing module of displaying and file function, the inquiry of realization character case-data, transmission, displaying, management and data statistics function image feature library facility module and be in charge of the system management module of daily O&M.
Preferably, described sample data typing module comprises the sample material inquiry submodule that query interface provides multinomial condition filter function, can carry out disease type to certain record or many records in Query Result and search key is specified, stored, editor and sample source material editing/file submodule of deleting, and the sample material sample data in the user's Query Result searched being showed in user interface shows submodule.
Preferably, described image feature library facility module comprises the feature case search search submodule providing multinomial condition filter function; Validated user and password login function are provided, can show according to user authority setting, the report information of the feature case-data searched can judge whether that submodule is transmitted/shown to the feature case transmitting sample data library information with the image information corresponding to report according to querying condition; The feature database data management submodule checking and delete management function of all reports and image information in image feature storehouse is provided; Statistics by disease type and time period inquiry case data is provided, and the data statistics submodule that statistics can be represented in graphical form.
Preferably, described system management module comprises the system login submodule of the system login operation being responsible for providing validated user name and password; Be responsible for the user management submodule of the interpolation of new user, password and the setting of user role and the amendment of existing user login code; Be responsible for the interpolation of new role type, the distribution of particular user authority, Role Management submodule that the authority of existing character types is modified; Be responsible for the query manipulation that the type of service selected by user and time period complete daily record, the log management submodule that the log content of recording user operation is checked to user is provided; Be responsible for the current maximum number of connections of statistical system and the linking number management submodule that current online user name is checked to user is provided; The network address amendment submodule that the IP address that IP address is arranged and IP1 has access to image that the IP address that responsible center-side has access to image arranged, had access in hospital image is arranged.
Compared with existing software, the invention has the beneficial effects as follows:
1, image feature storehouse of the present invention system interface sing on web form is shown, can realize a series of function such as typing, inquiry displaying on feature database system interface.Feature case is showed doctor's connection networking hospital image and associated department doctor, for its reference, study, scientific research.
2, image feature storehouse of the present invention system can be applicable to auxiliary diagnosis.Image sample based on doctor's connection data platform can describe content in conjunction with the data such as such as patient sign, DD, pathological diagnosis and image and carry out big data quantity mining analysis, find out rule wherein, have great role for the diagnostic imaging of assist physician to similar disease.
3, image feature storehouse of the present invention system can be applicable to teaching.Many diseases are planted image feature storehouse and are provided the more efficient teaching mode of network of one.By having the sample image of Typical Representative meaning, diagnostic imaging reference, study is carried out for doctor's connection networking hospital image and associated department doctor, the basic demand of Medical Imaging Specialty Training Residents is combined with the Ministry of Public Health, playing teaching significance is different from generally based on the In Medical Image Teaching software of PACS in hospital, there is sample data radix more huge, the advantage that band religion crowd more extensively waits.
4, image feature storehouse of the present invention system can be applicable to scientific research.Analyzed by this business scenario application with Typical Representative effect in selected many sick kind image feature storehouses, the basis in disease kind image feature storehouse realizes the analysis and utilization of medical image data, also can power-assisted research work.
Accompanying drawing explanation
Fig. 1 is that the many diseases of the one of the embodiment of the present invention plant sample image profile storehouse system module figure.
Fig. 2 is the business process map of a kind of image feature storehouse system of the embodiment of the present invention;
Fig. 3 is the overall workflow figure in a kind of image feature storehouse of the embodiment of the present invention.
Fig. 4 is that the many diseases of the one of the embodiment of the present invention plant sample image profile database data decimation rule figure.
Embodiment
Below in conjunction with specific embodiment, set forth the present invention further.Should be understood that these embodiments are only not used in for illustration of the present invention to limit the scope of the invention.In addition should be understood that those skilled in the art can make various changes or modifications the present invention, and these equivalent form of values fall within the application's appended claims limited range equally after the content of having read the present invention's instruction.
Embodiment 1
As shown in Figure 1, for many diseases of the embodiment of the present invention plant sample image profile storehouse system module figure, described doctor joins image feature storehouse system, the many diseases comprised based on the large data of area medical plant image feature storehouses, the inquiry realizing sample material data, editor, the sample data typing module of displaying and file function, the inquiry of realization character case-data, transmission, displaying, management and data statistics function image feature library facility module and be in charge of the system management module of daily O&M.
As shown in Figure 3, the described many diseases based on the large data of area medical plant the construction method in image feature storehouse, the steps include:
Step 1, problem determination procedure;
Evaluating objects application is sick plants, and described intended application disease is planted and comprised colorectal cancer, cancer of the stomach, acute myocardial infarction, dissection of aorta, cerebral apoplexy (containing cerebral infarction, cerebral hemorrhage), bone tumour, lung cancer, breast cancer and coronary heart disease.Objective definition data, described target data comprises image and iconography corresponding with it report.
Step 2: data collection step:
Step 2.1: data decimation step:
With reference to large data technique framework, according to the suggestion of the user's request being determined to obtain in the stage by problem and expert, in connection platform of taking up a job as a doctor, form preliminary data collection by collecting with other diagnostic results in the account of Image Matching and electronic health record in the image data in image raw data base " DICOMDB ", both non-visual data storehouse; Described image data comprises X-ray, CT, MRI, DSA, ECT, PET, SPECT, PET-CT, ultrasonic and endoscopic images data.
Step 2.2: data prediction step:
Eliminate the concentrated missing data of preliminary data and repeat record; Pass through data analysing method, as SQL statement: process preliminary data collection does not have the verification statement of image, the null term data statement processed in electronic health record interface data, the attribute will considered when preliminary data is concentrated and found out really useful attribute to reduce data mining or variable number.
Step 3: data pick-up (screening) step:
Step 3.1: lay down a regulation step: in the image of planting according to target disease and iconography report, corresponding performance describes key word, and the title of the sick pathological diagnosis of planting of reference target application, forms the specific rules of extracted data, as shown in Figure 4;
Step 3.2: data screening filtration step: the specific rules employing the extracted data of above formulation filters the data concentrated through pretreated preliminary data, forms sample database;
Step 4: the data in sample database are carried out Rules of Assessment feedback step, described Rules of Assessment feedback step comprises: from the data sample database, collect assessment data, ephemeral data table is formed by sick random derivation about 100 data of planting every from sample database, these table data are checked one by one, inspection method is for the Yxzd in temporary table, Yxbx, whether Jcbw field meets the specific rules of extracted data, the typing feature database of the specific rules of extracted data will be met, feature database system uses search module plant target disease to inquire about, whether revene lookup result has the data do not conformed to the disease kind of search, data inputting by checking is planted image feature storehouse based on many diseases of the large data of area medical, to not extract out by the data of checking and check that concrete data field is as Yxzd, Yxbx, the field that Jcbw comprises, these fields are gathered and compares with the specific rules of extracted data determined in step 3.1, and for the specific rules of the extracted data in aligning step 3.1, improve Yxzd in step 3.1, Yxbx, Jcbw field decimation rule can filter out these data.Redundancy or the pattern irrelevant with problem may be there is in the data extracted, need to make an explanation to result and assess, feedback data to step 3.1 in time.
Described sample data typing module comprises query interface provides multinomial condition filter function as the time, inspect-type, hospital, sex, image describes key word, the sample material inquiry submodule of diagnostic imaging key word etc., disease type and search key appointment can be carried out to certain record in Query Result or many records, store, editor and the sample source material editing/file submodule deleted, with the sample data (image information in the user's Query Result that will search, corresponding diagnosis report information etc.) the sample material that is showed in user interface shows submodule.
Described image feature library facility module comprises provides multinomial condition filter function, comprises the time, feature case search search submodule that inspect-type, hospital, sex, image describe the query interface such as key word, diagnostic imaging key word; Validated user and password login function are provided, can show according to user authority setting, the detailed report information of the feature case-data searched can judge whether that submodule is transmitted/shown to the feature case transmitting sample data library information with the image information corresponding to report according to querying condition; The feature database data management submodule checking and delete management function of all reports and image information in image feature storehouse is provided; Statistics by disease type and time period inquiry case data is provided, and the data statistics submodule that statistics can be represented in graphical form.
Described system management module comprises the system login submodule of the system login operation being responsible for providing validated user name and password; Be responsible for the user management submodule of the interpolation of new user, password and the setting of user role and the amendment of existing user login code; Be responsible for the interpolation of new role type, the distribution of particular user authority, Role Management submodule that the authority of existing character types is modified; Be responsible for the query manipulation that the type of service selected by user and time period complete daily record, the log management submodule that the log content of recording user operation is checked to user is provided; Be responsible for the current maximum number of connections of statistical system and the linking number management submodule that current online user name is checked to user is provided; The network address amendment submodule that the IP address that IP address is arranged and IP1 has access to image that the IP address that responsible center-side has access to image arranged, had access in hospital image is arranged.
The operation flow following (referring to Figure of description 2) of described image feature storehouse system:
Step 200, sample material is inquired about: according to inspect-type, check that hospital, Gender and diagnosis content inquire about corresponding patient data;
Step 201, sample material is shown: the detailed report information can checking patient data for user, has access to the image information checked corresponding to report.
Step 202, sample source material editing: carry out disease category appointment to sample data, search key is specified, and many records can be selected simultaneously to carry out disease type appointment, key word is specified;
Step 203, sample material files: wall scroll record or many records can be selected to carry out being stored into, and many diseases based on the large data of area medical that above-mentioned construction method sets up are planted in image feature storehouses;
Step 204, feature case search: the case-data shown according to disease category, inspect-type inquiry;
Step 205, feature case is shown: the detailed report information can checking inquiry data for user, checks the image information corresponding to report; User can select one or more sample data to check;
Step 206, statistics is inquired about: user, by selecting disease type, time period, inquires about corresponding case statistics result;
Step 207, data statistics result is shown: the data statistics result inquired represents in graphical form.
Claims (4)
1. doctor's connection image feature storehouse system, it is characterized in that, the many diseases comprised based on the large data of area medical plant image feature storehouses, the inquiry realizing sample material data, editor, the sample data typing module of displaying and file function, the inquiry of realization character case-data, transmission, displaying, management and data statistics function image feature library facility module and be in charge of the system management module of daily O&M.
2. doctor's connection image feature storehouse as claimed in claim 1 system, it is characterized in that, described sample data typing module comprises the sample material inquiry submodule that query interface provides multinomial condition filter function, can carry out disease type to certain record or many records in Query Result and search key is specified, stored, editor and sample source material editing/file submodule of deleting, and the sample material sample data in the user's Query Result searched being showed in user interface shows submodule.
3. doctor's connection image feature storehouse as claimed in claim 1 system, is characterized in that, described image feature library facility module comprises the feature case search search submodule providing multinomial condition filter function; Validated user and password login function are provided, can show according to user authority setting, the report information of the feature case-data searched can judge whether that submodule is transmitted/shown to the feature case transmitting sample data library information with the image information corresponding to report according to querying condition; The feature database data management submodule checking and delete management function of all reports and image information in image feature storehouse is provided; Statistics by disease type and time period inquiry case data is provided, and the data statistics submodule that statistics can be represented in graphical form.
4. doctor's connection image feature storehouse as claimed in claim 1 system, it is characterized in that, described system management module comprises the system login submodule of the system login operation being responsible for providing validated user name and password; Be responsible for the user management submodule of the interpolation of new user, password and the setting of user role and the amendment of existing user login code; Be responsible for the interpolation of new role type, the distribution of particular user authority, Role Management submodule that the authority of existing character types is modified; Be responsible for the query manipulation that the type of service selected by user and time period complete daily record, the log management submodule that the log content of recording user operation is checked to user is provided; Be responsible for the current maximum number of connections of statistical system and the linking number management submodule that current online user name is checked to user is provided; The network address amendment submodule that the IP address that IP address is arranged and IP1 has access to image that the IP address that responsible center-side has access to image arranged, had access in hospital image is arranged.
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| CN107582097A (en) * | 2017-07-18 | 2018-01-16 | 中山大学附属第医院 | Intelligent aid decision-making system based on multi-mode ultrasound omics |
| CN109326338A (en) * | 2018-09-29 | 2019-02-12 | 温州市中心医院 | A kind of management system based on birth defect biological sample bank |
| CN111625663A (en) * | 2020-05-08 | 2020-09-04 | 西安交通大学医学院第一附属医院 | Ultrasonic case image and information data storage system |
| CN113496774A (en) * | 2021-07-22 | 2021-10-12 | 河北北方学院 | Digital medical information management method and related device |
| CN114822858A (en) * | 2021-12-30 | 2022-07-29 | 四川大学华西医院 | Prospective case screening method and device for image department research and storage medium |
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Application publication date: 20150204 |