CN103714230A - Method and device for reading medical image files - Google Patents
Method and device for reading medical image files Download PDFInfo
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Abstract
A method for reading medical image files comprises the following steps of selecting a clinical history, which corresponds to a historical training record of a trained object and comprises a medical image file and meta-information comprising a standard diagnostic report corresponding to the medical image file, from a center database; judging whether the selected clinical history is stored in a local database or not; transmitting the selected clinical history which is not stored in the local database to a downloading queue from the center database; packaging the medicine image file in the clinical history in the downloading queue into at least one data package by using sequences SERIES in a medical digital imaging and communication standard DICOM; enabling the data packages to correspond to the sequences one by one; downloading the data packages of the clinical history in the downloading queue and meta-information to the local database; downloading the data packages and the meta-information of the clinical history from the local database; and displaying the medical image file to the trained object.
Description
Technical field
The present invention relates to calculate utmost point technology in the application of medical domain, be specifically related to a kind of method and apparatus that reads medical image file.
Background technology
Medical imaging diagnosis (such as B ultrasonic, CT, X-ray etc.) is the important component part of clinical diagnosis, has very important status.The correctness of medical imaging diagnosis, be directly connected to patient whether can obtain in time, rationally, effectively treatment.But, between Hospitals at Present, seldom can share medical image file, this is because medical image file is conventionally all very large on the one hand, is difficult to storage in a large number on the computing machine of doctor's use or the server of hospital.On the other hand, the transmission of medical image is at present mainly by realizations such as HTML (Hypertext Markup Language) (HyperText Transfer Protocol, HTTP), file transfer protocol (FTP) (File Transfer Protocol, FTP).With regard to the implementation of these agreements, general is all first medical image files waiting for transmission to be collected on the server of downloading use, when having user to propose download request, the medical image files of directly user being asked by Download Server is transferred to user terminal.And because medical image files is large especially, the vast hospital of hospital, especially economic backward area cannot network at any time, so be difficult to guarantee that hospital and doctor can obtain the medical image file needing in time.Therefore, prior art be difficult to realize allow between hospital and the doctor of Different hospital between share medical image file.In addition, also lack the network system that the doctor that conveniently undergoes training reads medical image file at present.
Summary of the invention
One embodiment of the present of invention provide a kind of method that reads medical image file, comprising:
In the central database of central server, select the case corresponding with the historical training record of the object of undergoing training, described case comprises medical image file and metamessage, and described metamessage comprises the standard diagnostics report corresponding with described medical image file;
Determine the case that whether stores described selection in the local data base of home server, the case of selecting and local data base is not stored is sent to download queue from central server;
By downloading sequence that medical image files that the case in row is comprised take in digital imaging and communications in medicine DICOM, be distributed at least one packet, a corresponding sequence of packet as unit; To download in the described packet of case in queue and local data base that metamessage downloads to described home server; With
From the local data base of described home server, download described case, and described medical image file is shown to the object of undergoing training, so that the object of undergoing training can read described medical image file and write diagnosis report.
It should be noted that, metamessage not only can comprise with reference to diagnosis report here, can also comprise and information that information for hospital is write information about doctor with reference to diagnosis report etc.
Meanwhile, another one embodiment of the present invention also provides a kind of device that reads medical image file, comprising:
Search module, for the central database at central server, be the Object Selection case corresponding with its historical training record of undergoing training, described case comprises medical image file and metamessage, and described metamessage comprises the standard diagnostics report corresponding with described medical image file;
Filtering module, for determining whether the local data base of home server stores the case of described selection, and the case that the local data base of selection is not stored sends to download queue from the central database;
Download module, for being distributed at least one packet, a corresponding sequence of packet by downloading sequence SERIES that medical image files that row case is comprised take in digital imaging and communications in medicine DICOM as unit; To download in the described packet of case in queue and local data base that metamessage downloads to described home server, and from the local data base of described home server, download packet and the metamessage of described case; And display module, for showing described medical image file, so that the object of undergoing training can read described medical image file and write diagnosis report.
The above embodiment of the present invention can obtain following remarkable result: (1) makes it possible to store a large amount of medical image files by setting up central database.By the case of give to need downloading, set up and downloaded queue, the client and server that the object that makes to undergo training is used just can be downloaded the case needing in networking, and this has eliminated the synchronous dependence of selecting between case and the operation of download case.(2) with the sequence SERIES transmission medical image files in DICOM, be both user-friendly to medical image files, can have improved again the transmission speed of file.The sequence sERIES of DICOM has identified the morphotype of synthetic image, date, the details of inspect-type and the equipment of use that sequence generates, and it is from the relevant image of same medical imaging device and the set of relevant information thereof.The angle of using from the object of undergoing training, the medical inspection of take carrys out downloading data bag as unit, so the object of undergoing training wishes that an own packet of downloading just in time can comprise all images of a medical inspection, the object of so conveniently undergoing training use; And the technical standpoint of packing from packing, the number of the medical image files that each packet can hold is The more the better.Fully weighing and undergoing training on the actual demand of object and the basis of image transmitting efficiency, in embodiments of the present invention, adopt sequence sERIES to download the medical image files object of both conveniently having undergone training as the unit of packing packing and use medical image files, the image file that can make again data contain to receive is as far as possible many.(3) in an embodiment of the present invention, according to the historical training record of the object of undergoing training, select corresponding case, and provide the case corresponding with its historical record for the object of undergoing training, the medical image file that therefore need to read without the own selection of the object of undergoing training, alleviated the burden of the object of undergoing training, simultaneously can provide for the different objects of undergoing training medical image file targetedly, the undergo training needs of object of satisfied difference.Meanwhile, can also, according to the diagnosis report of the object feedback of undergoing training, adjust the historical record of the object of undergoing training.Can according to the training situation of the object of undergoing training, automatically adjust the training process of the object of undergoing training from the undergo training training situation of object of motion tracking like this, thereby the good excitation object of undergoing training improves the effect of training.
Accompanying drawing explanation
Fig. 1 is the process flow diagram that reads the method for medical image file in the embodiment of the present invention.
Fig. 2 is the process flow diagram that reads the method for medical image file in another embodiment of the present invention.
Fig. 3 is the schematic diagram of structure that reads the device of medical image file in the embodiment of the present invention.
Embodiment
In order to make object, technical scheme and the advantage of the embodiment of the present invention clearer, below for example the embodiment of the present invention is described in further detail.
As shown in Figure 1, the medical image document method that reads that one embodiment of the invention provides comprises the steps.
Step 11 is selected the case corresponding with the historical training record of the object of undergoing training in the central database of central server, and described case comprises medical image file and metamessage, and described metamessage comprises the standard diagnostics report corresponding with described medical image file.
Here, standard diagnostics report can be the diagnosis report of being write by veteran doctor, the report that for example can write for the expert of front three hospital.Medical image file comprises B ultrasonic, CT etc.Metamessage can also comprise patient information, information about doctor, the information of hospital etc. except standard diagnostics report.The historical training record of object of undergoing training comprises at least one project and this object assessed value in each project of undergoing training.Each case in the central database of central server is corresponding with at least one project.In embodiments of the present invention, the data that the historical training record of the object of undergoing training can start to provide in training according to the object of undergoing training is automatically determined, or is pre-determined by supvr.In addition, the case in case storehouse and the corresponding relation of project also set in advance, and each case can corresponding one or more projects.
In this step, in order to be more suitable for the case of its level to the Object Selection of undergoing training, can be according to the project in the historical training record of the object of undergoing training, determine the training vector that this history training record is corresponding, according to project corresponding to each case in central database, determine the case vector that each case is corresponding; Obtain the distance between this training vector and each case vector; For the shortest case of distance between the training vector sum case vector of described this object of undergoing training of Object Selection of undergoing training.
Step 12, determines the case that whether stores described selection in the local data base of home server, and the case of selecting and local data base is not stored is sent to download queue from central server.
Because medical image file is conventionally all larger, so generally cannot all preserve in this locality.The case that comprises medical image file can be stored in to a central server side, according to the historical record of the object of undergoing training, selecting after suitable case, first in the local data base of definite home server, whether store selected case, if local data base storage is some cases selectively, needn't download these cases, the object of undergoing training can directly be downloaded these cases from home server again.The case that there is no the selection of storage for local data base, sends to download queue by it from central server.
Step 13, is distributed at least one packet, a corresponding sequence of packet by downloading sequence SERIES that medical image files that the case in row is comprised take in digital imaging and communications in medicine DICOM as unit; To download in the described packet of case in queue and local data base that metamessage downloads to described home server.
The sequence identifier of DICOM the morphotype of synthetic image, the sequence date, the details of inspect-type and the equipment of use that generate, it is from the relevant image of same medical imaging device and the set of relevant information thereof.For example, patient Zhang San is carried out to brain and lung's pathological diagnosis, wherein, for brain, carried out respectively again 3 computed tomography (Computed Tomography, CT) inspection, each CT examination obtains respectively 10 check image, patient Zhang San's brain pathological diagnosis comprises 3 sequences (i.e. 3 CT examination), and each sequence comprises 10 medical image files.The angle of using from the object of undergoing training, the medical inspection of take carrys out downloading data bag as unit, so the object of undergoing training wishes that an own packet of downloading just in time can comprise all images of a medical inspection, the object of so conveniently undergoing training use; And the technical standpoint of packing from packing, the number of the medical image files that each packet can hold is The more the better.Fully weighing and undergoing training on the actual demand of object and the basis of image transmitting efficiency, in embodiments of the present invention, adopt sequence SERIES to download the medical image files object of both conveniently having undergone training as the unit of packing packing and use medical image files, the image file that can make again data contain to receive is as far as possible many.
Step 14, from the local data base of described home server, download described packet and the metamessage of described case, and by client, described medical image file is offered to the object of undergoing training, so that can reading described medical image file, the object of undergoing training writes diagnosis report.
Preferably, described method also comprises: the diagnosis report of the object of undergoing training described in reception feedback, and according to the standard diagnostics report in the case of described selection, described diagnosis report of undergoing training object feedback is carried out to machine automatic evaluation.
In this step, receive the diagnosis report of the object feedback of undergoing training, the standard diagnostics report of the diagnosis report of the object of relatively undergoing training feedback and this case, carries out machine automatic evaluation to described diagnosis report of undergoing training object feedback.Can utilize existing technology to realize the assessment to the diagnosis report of the object of undergoing training, for example can utilize computing machine to extract the keyword in each project in standard diagnostics report, and search and in the diagnosis report that the object of undergoing training writes, whether contain the modes such as these keywords and near synonym thereof and assess.
According to comparative result above, adjust respective items object assessed value in the doctor's that undergoes training historical training record.In the training result of the object of undergoing training, if the object of undergoing training is different from correct option for the answer of certain project, correspondingly reduce the assessed value of this project; If the answer for certain project is identical with correct option, correspondingly improve the assessed value of this project.
When the object of undergoing training reads medical image file again, can, according to the historical training record after adjusting, for this object of undergoing training is searched suitable case, thereby provide the medical image file that meets undergo training uncertain plant learning level and capacity variation.Can find out, in embodiments of the present invention, according to the historical training record of the object of undergoing training, search corresponding case, and provide the case corresponding with its historical training record for the object of undergoing training, therefore without the object oneself of undergoing training, select training contents and training progress, alleviated the burden of the object of undergoing training.And according to the difference of the historical training record of the object of undergoing training, the case providing for the object of undergoing training is also different, individual demand that therefore can be different according to the object of undergoing training, the undergo training objects different for ability provide personalized training, the undergo training needs of object of satisfied difference.Further, according to the embodiment of the present invention, can, according to the training result of the object feedback of undergoing training, adjust the historical training record of the object of undergoing training.So, can be according to the situation of the each training of the object of undergoing training, from the undergo training variation of ability level of object of motion tracking, thereby according to the training situation of the object of undergoing training, automatically adjust the training process of the object of undergoing training, thereby well encourage the object of undergoing training, improve the effect of training.
Take below and read a rabat and as example illustrates, how to implement the method that the present invention reads medical image file.Fig. 2 illustrates the process flow diagram that reads the method for a rabat in the embodiment of the present invention.As shown in Figure 2, the method comprises the steps:
Step 21 is selected the case corresponding with the doctor's that undergoes training historical training record from the central database of central server, i.e. suitable rabat and corresponding metamessage.
In the present embodiment, central database comprises a plurality of cases and the standard diagnostics report corresponding with this case, and each case comprises chest film picture picture and metamessage (comprising patient information, information for hospital and information about doctor etc.).
In the case report corresponding with rabat, radiologist needs 8 regions of anatomy of accurate description and image position, be thorax, rib, hilus pulumonis, lung, tracheae, heart, diaphragm, rib diaphragm angle, Findings in rabat is described, as lung's agglomerate shadow, spot shadow, bar Suo Ying etc., and point out the disease corresponding with Findings, and as pneumothorax, pneumonia or fracture etc.
Correspondingly, in the doctor's that undergoes training historical training record, using above-mentioned each image position and/or the region of anatomy and each disease type as a project, and the assessed value of each project is set, this assessed value has reflected this ability level of doctor in this project of undergoing training.Can be by the related anatomic part of each case, Findings and disease are set as project corresponding to this case.In actual applications, can determine as required project and the assessed value corresponding with project in historical training record.For example, 8 regions of anatomy that can rabat are set to 8 projects.In the doctor's that undergoes training historical training record, for each region of anatomy arranges assessed value qualitatively, as qualified and not enough etc.Wherein assessed value is that this doctor that undergoes training of qualified expression can point out accurately the disease at this position in report, and assessed value represents that for not enough this doctor that undergoes training fails to point out accurately the disease at this position in report.Can determine the wherein region of anatomy corresponding to assessed value of " deficiency " according to the doctor's that undergoes training historical training record in this step, and in case storehouse, search the assessed value of this region of anatomy for the case of " deficiency ".If such case is many, can choose at random one of them as the case finding.Or also can be in the following manner for the doctor that undergoes training selects case.According to a plurality of projects in this doctor's that undergoes training historical training record, determine the training vector that this history training record is corresponding, the project corresponding according to each case, determine the case vector of each case, obtain the distance between each case vector of this training vector sum, and select case corresponding to bee-line for the doctor that undergoes training.
Step 22, determines the case that whether stores described selection in the local data base of home server, and the case of selecting and local data base is not stored is sent to download queue from central server.
In the present embodiment, suppose that the case finding is case A, B and C for rabat in step 21.In this step, whether search whether store case A in home server, B and C, if stored case A in home server, send to download queue by case B and C from central server.
Step 23, is distributed at least one packet, a corresponding sequence of packet by downloading sequence Series that rabat that the case in row is comprised take in digital imaging and communications in medicine DICOM as unit; Described packet and metamessage are downloaded in the local data base of described home server.
Step 24, downloads described packet and the metamessage of described case from the local data base of home server, and the terminal (such as computing machine) that chest films showed is used the doctor that undergoes training is upper, and the doctor that makes to undergo training can read rabat and write diagnosis report.
After step 24, the doctor that undergoes training reads rabat, writes the diagnosis report for the rabat of case B and C, and this report comprises to be described and impression two parts.For example, undergo training that " thorax is symmetrical, and rib traveling nature, has no deformity and destruction of bone to being described as of case B for doctor.Two hilus pulumonis sizes, position and density are normal.Two lung marking traveling natures, have no distortion and gather.Two lung fields are clear, have no consolidation and lump shadow.Pleura is without thickening and adhesion.Tracheae is placed in the middle, and mediastinum is placed in the middle, without broadening.Cardiac shape, size are in normal range.Bilateral diaphram is smooth, and rib diaphragm angle is sharp keen ", to the impression of case C, be " normal rabat ".
Preferably, embodiments of the invention also comprise step 25, receive the diagnosis report of the doctor's feedback of undergoing training, and according to the standard diagnostics report in the case of described selection, the diagnosis report of the doctor's feedback of undergoing training are carried out to machine automatic evaluation.Particularly, in this step, after description and impression for rabat B that the doctor that undergoes training has write, submit the report for this case B to.
Preferably, embodiments of the invention also comprise step 26, according to this doctor's that undergoes training report, adjust this doctor's that undergoes training historical training record.
In this step, the report of the doctor's feedback of undergoing training and standard diagnostics report are compared, obtain comparative result.As whether accurate for the description of the region of anatomy and impact performance, whether correctly judge disease etc.According to the degree-of-difficulty factor of this comparative result and this case A, adjust this doctor's that undergoes training historical training record.Wherein, the degree-of-difficulty factor of case B comprises the difficulty of each project in case B, and this degree-of-difficulty factor is recorded in the reference diagnosis report of case B.
In the present embodiment, the standard diagnostics of rabat B report is described as that " thorax morphosis is normal, and right side the 6th front rib is forked.Two lung marking are clear.Two hilus pulumonis forms, size, structure are normal.Tracheae is placed in the middle, and mediastinum form is normal.Podiod form, normal in size.Two diaphragmatic surfaces are smooth, and position is normal, and two rib diaphragms angle is sharp keen ", to the impression of rabat B, be " in lung, having no obvious solid lesion, right side the 6th bifurcation of rib ".Visible, this doctor that undergoes training fails to find " right side the 6th bifurcation of rib ", according to the degree-of-difficulty factor of case B, for example, and 0.8, reduce assessed value corresponding with rib in historical training record.For example, this time before training, in this doctor's that undergoes training historical training record, the assessed value corresponding with rib is 0.5, the default assessed value reduction amplitude corresponding with not finding bifurcation of rib is 0.2, after this training, the amplitude that the assessed value corresponding with rib reduces is 0.2*(1-0.8)=0.04, the assessed value after adjustment is 0.46, thereby embodies rationally and effectively this doctor's that undergoes training ability.In actual applications, can also according to actual needs the mode of adjusting assessed value be set flexibly, not affect the application of the embodiment of the present invention.
At 8 regions of anatomy, be set to 8 projects, and arrange qualitatively in the situation of assessed value, the reference diagnosis report of the report for case B of writing by the doctor that relatively undergoes training and case B, determine that this doctor that undergoes training does not find " right side the 6th bifurcation of rib ", that is to say that this doctor that undergoes training is for the ability level Shortcomings of this region of anatomy, therefore in this doctor's that undergoes training historical training record, assessed value that should the region of anatomy is set to " deficiency ".
When the doctor that undergoes training reads rabat again, the historical training record after adjusting according to this doctor that undergoes training, for it searches new case.
Another one embodiment of the present invention also provides a kind of device that reads medical image file, and this device can be carried out above-mentioned automatic Training Methodology.
Fig. 3 is the schematic diagram of structure that reads the device of medical image file in the embodiment of the present invention.As shown in Figure 3, the medical image file device that reads that the embodiment of the present invention provides comprises: search module 31, filtering module 32, download module 33, display module 34, evaluation module 35 and adjusting module 36.
Wherein, search module 31, for the central database at central server, be the Object Selection case corresponding with its historical training record of undergoing training, described case comprises medical image file and metamessage, and described metamessage comprises the standard diagnostics report corresponding with described medical image file.
Filtering module 32, for determining whether the local data base of home server stores the case of described selection, and the case that the local data base of selection is not stored sends to download queue from the central database;
Download module 33, for being distributed at least one packet, a corresponding sequence of packet by downloading sequence Series that medical image files that row case is comprised take in digital imaging and communications in medicine DICOM as unit; To download in the described packet of case in queue and local data base that metamessage downloads to described home server, and from the local data base of described home server, download packet and the metamessage of described case;
Display module 34, for described medical image file is shown to the object of undergoing training, so that the object of undergoing training can read described medical image file and write diagnosis report.
Preferably, the device that reads medical image file also comprises evaluation module 35, it is for the diagnosis report of the object feedback of undergoing training described in receiving, and according to the standard diagnostics report in the case of described selection, described diagnosis report of undergoing training object feedback is carried out to machine automatic evaluation.
Preferably, the device that reads medical image file also comprises adjusting module 36, and it adjusts this doctor's that undergoes training historical training record for diagnosis report that doctor writes according to undergoing training.Particularly, the diagnosis report that this adjusting module 36 is write for the doctor that relatively undergoes training and the reference diagnosis report of this case, obtain comparative result; According to this comparative result, adjust respective items object assessed value in the doctor's that undergoes training historical training record.
The out of Memory that is used for realizing the device that reads medical image file, referring to reading the explanation of the method for medical image file, no longer repeats at this.
The above, be only preferred embodiment of the present invention, is not intended to limit protection scope of the present invention.Can be to being improved appropriately according to a preferred embodiment of the invention, to adapt to the concrete needs of concrete condition in concrete implementation process.Therefore be appreciated that the specific embodiment of the present invention as herein described just plays an exemplary role, not in order to limit the scope of the invention.
Claims (6)
1. a method that reads medical image file, comprising:
In the central database of central server, select the case corresponding with the historical training record of the object of undergoing training, described case comprises medical image file and metamessage, and described metamessage comprises the standard diagnostics report corresponding with described medical image file;
Determine the case that whether stores described selection in the local data base of home server, the case of selecting and local data base is not stored is sent to download queue from central server;
By downloading sequence SERIES that medical image files that the case in row is comprised take in digital imaging and communications in medicine DICOM, be distributed at least one packet, a corresponding sequence of packet as unit;
To download in the described packet of case in queue and local data base that metamessage downloads to described home server; With
From the local data base of described home server, download described packet and the metamessage of described case, and described medical image file is shown to the object of undergoing training, so that the object of undergoing training can read described medical image file and write diagnosis report.
2. method according to claim 1, wherein, described method also comprises:
The diagnosis report of the object of undergoing training described in reception feedback, and according to the standard diagnostics report in the case of described selection, described diagnosis report of undergoing training object feedback is carried out to machine automatic evaluation.
3. method according to claim 2, wherein, described method also comprises:
According to the described assessment result to the diagnosis report of the object feedback of undergoing training, the historical training record of the object of undergoing training described in adjustment, as the foundation of the Object Selection case of undergoing training described in being next time.
4. a device of reading medical image file, comprising:
Search module, for the central database at central server, be the Object Selection case corresponding with its historical training record of undergoing training, described case comprises medical image file and metamessage, and described metamessage comprises the standard diagnostics report corresponding with described medical image file;
Filtering module, for determining whether the local data base of home server stores the case of described selection, and the case that the local data base of selection is not stored sends to download queue from the central database;
Download module, for being distributed at least one packet, a corresponding sequence of packet by downloading sequence SERIES that medical image files that row case is comprised take in digital imaging and communications in medicine DICOM as unit; To download in the described packet of case in queue and local data base that metamessage downloads to described home server, and from the local data base of described home server, download packet and the metamessage of described case; With
Display module, for described medical image file is shown to the object of undergoing training, so that the object of undergoing training can read described medical image file and write diagnosis report.
5. device according to claim 4, wherein said device also comprises evaluation module, it is for the diagnosis report of the object feedback of undergoing training described in receiving, and according to the standard diagnostics report in the case of described selection, described diagnosis report of undergoing training object feedback is assessed.
6. device according to claim 5, wherein said device also comprises adjusting module, it is for according to the described assessment result to the diagnosis report of the object feedback of undergoing training, and the historical training record of the object of undergoing training described in adjustment, as the foundation of the Object Selection case of undergoing training described in being next time.
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| CN111192682A (en) * | 2019-12-25 | 2020-05-22 | 上海联影智能医疗科技有限公司 | Image exercise data processing method, system and storage medium |
| CN111192682B (en) * | 2019-12-25 | 2024-04-09 | 上海联影智能医疗科技有限公司 | Image exercise data processing method, system and storage medium |
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