CN104038545B - A kind of remote auto image analysis methods and system - Google Patents

A kind of remote auto image analysis methods and system Download PDF

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Publication number
CN104038545B
CN104038545B CN201410260268.9A CN201410260268A CN104038545B CN 104038545 B CN104038545 B CN 104038545B CN 201410260268 A CN201410260268 A CN 201410260268A CN 104038545 B CN104038545 B CN 104038545B
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image information
cloud server
server end
contact person
information
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CN104038545A (en
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李志强
蓝杨锋
蔡昭欣
蔡虹
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Shenzhen pass cloud shadow Technology Development Co.,Ltd.
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Shenzhen Cloud Paasche Science And Technology Development Co Ltd
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Abstract

A kind of remote auto image analysis methods provided by the present invention and system, the method includes:Irradiation image equipment receives the operational order of user, obtains the image information of patient and is uploaded to local cloud gateway, and the local cloud gateway compresses it to obtain compressing image information, and the compressing image information is uploaded to cloud server end later;The cloud server end receives the compressing image information, and chooses contact person from pre-set Affiliates List, gives notice information to its corresponding terminal;After contact person's terminal receives the notification information, the compressing image information is downloaded, corresponding processing image information is fed back to cloud server end according to the compressing image information later.Due to being not necessarily in the mating special remote medical consultation with specialists instrument of setting of basic hospital, but cloud server end is uploaded after acquiring the image information of patient by irradiation image equipment, and notify the contact person in Affiliates List so that the image information of patient obtains timely and effective processing.

Description

A kind of remote auto image analysis methods and system
Technical field
The present invention relates to field of medical device more particularly to a kind of remote auto image analysis methods and systems.
Background technology
Currently, tertiary hospitals are substantially distributed in big and medium-sized cities, and small city, town & country Hospital medical level are generally Not high, medical level development pole is uneven.With the continuous improvement of living standards of the people, the requirement to Health Services is also increasingly It is high.Although country continues to increase the appropriation of primary care now, the Medical Devices for promoting primary care update and perfect, Veteran medical expert's limited amount, it is impossible to often leave post and meet people to the higher of medical services to various regions It is required that.For the patient of Countryside since local medical level condition is poor, critical, difficult patient will often go to high level-one doctor Institute could receive rational diagnosis and treatment, and for irradiation image inspection, an accurate inspection result can help patient to reduce mistake The risk examined reduces rechecking, also has very great help to critical treatment.In terms of medical radioactive inspection, use is existing Remote medical consultation with specialists technology, the construction cost of primary care, timeliness are required it is too high, and preceding expert can only right place into guild It examines, limitation is too big, it is difficult to meet the needs of image check diagnosis.
Existing remote medical consultation with specialists technology combines real-time video exchange mostly, and all kinds of medical history informations upload, and patient monitor etc. is raw The real-time Transmission of sign data is ordered, support appropriate experts and applies for the real-time interactive remote medical consultation with specialists between doctor, patient.This side The great advantage of formula is to exchange in real time, substantially achieves the effect to scene with expert, expert can with abundant experience, in conjunction with Various inspection inspection datas, make correct diagnosis.But the disadvantage is that needing that basic hospital mating must also be arranged special long-range Consultation of doctors instrument, cost expenses are very big, and remote platform needs to arrange for expert, and expert needs to preengage in advance and according to the institute of expert Arrangement of time is selected to hold a consultation, flow is extremely complex, therefore usually only just uses remote medical consultation with specialists instrument when encountering rare difficult and complicated cases. This mode is difficult often to be suitable for basic hospital, it is difficult to be widely popularized remote diagnosis service.
Therefore, the existing technology needs to be improved and developed.
Invention content
In view of above-mentioned deficiencies of the prior art, the purpose of the present invention is to provide a kind of remote auto image analysis methods and System could carry out remote diagnosis in the mating special remote medical consultation with specialists instrument of setting of Countryside palpus in the prior art to overcome Defect.
Technical scheme is as follows:
A kind of remote auto image analysis methods, wherein the method includes:
A, irradiation image equipment receives the operational order of user, obtains the image information of patient and will be on the image information Local cloud gateway is reached, the local cloud gateway carries out compression processing to the image information and obtains compressing image information, later The compressing image information is uploaded to cloud server end;
B, the cloud server end receives the compressing image information, and connection is chosen from pre-set Affiliates List It is people, gives notice information to the corresponding contact person's terminal of the contact person;
C, contact person's terminal receives the notification information, and receives the operational order of contact person, from the cloud service The compressing image information is downloaded at device end, and feeding back corresponding processing image information to cloud according to the compressing image information later takes Business device end.
The remote auto image analysis methods, wherein further include before the step A:
S, cloud server end receives the operational order of user, and Affiliates List is arranged.
The remote auto image analysis methods, wherein further include after the step C:
D, when contact person's terminal reception notification information, not from the cloud server end within the preset time Download the compressing image information, then the cloud server end chooses next contact person in pre-set Affiliates List, And it gives notice information to next contact person.
The remote auto image analysis methods, wherein the step A is specifically included:
A1, irradiation image equipment receive the operational order of user, obtain the image information of patient, and by the image information It is uploaded to local cloud gateway end;
A2, the local cloud gateway end receive the image information, and the image information are carried out lossless compression processing Compressing image information is obtained, the compressing image information is uploaded to cloud server end later.
The remote auto image analysis methods, wherein the step C is specifically included:
C1, contact person's terminal receive the notification information, and log in the cloud server end according to the notification information;
C2, contact person's terminal receive the operational order of contact person, and the compressing image letter is downloaded from the cloud server end Breath, and processing is unziped it to the compressing image information, obtain decompression image information;
C3, contact person's terminal are according to the decompression image information, the corresponding processing shadow of feedback contact person's input For picture information to cloud server end, the cloud server end receives and stores the processing image information;
The processing image information is sent to the local cloud gateway, the local cloud net by C4, the cloud server end Pass receives and stores the processing image information.
The remote auto image analysis methods, wherein the notification information is short massage notice information, the short massage notice Information includes that cloud server end logs in link.
A kind of remote auto image analysis system, wherein the remote auto image analysis system includes that acquisition uploads mould Block, downloads feedback module at notification module, wherein:
The acquisition uploading module receives the operational order of user for irradiation image equipment, obtains the image letter of patient It ceases and the image information is uploaded to local cloud gateway, the local cloud gateway carries out compression processing to the image information and obtains To compressing image information, the compressing image information is uploaded to cloud server end later;
The notification module receives the compressing image information for the cloud server end, and from pre-set It is to choose contact person in roster, gives notice information to the corresponding contact person's terminal of the contact person;
The download feedback module receives the notification information for contact person's terminal, and receives the behaviour of contact person It instructs, the compressing image information is downloaded from the cloud server end, fed back later according to the compressing image information corresponding Processing image information to cloud server end.
The remote auto image analysis system, wherein further include:
Setup module receives the operational order of user for cloud server end, and Affiliates List is arranged;
Notification module is recycled, for receiving the notification information when contact person's terminal, within the preset time not The compressing image information is downloaded from the cloud server end, then the cloud server end is in pre-set Affiliates List It chooses next contact person, and gives notice information to next contact person.
The remote auto image analysis system, wherein the acquisition uploading module specifically includes:
Uploading unit is acquired, the operational order of user is received for irradiation image equipment, obtains the image information of patient, and The image information is uploaded to local cloud gateway end;
Compress uploading unit, the image information received for the local cloud gateway end, and by the image information into Row lossless compression handles to obtain compressing image information, and the compressing image information is uploaded to cloud server end later.
The remote auto image analysis system, wherein the download feedback module specifically includes:
It notifies login unit, receives the notification information for contact person's terminal, and institute is logged according to the notification information State cloud server end;
Decompression unit is downloaded, the operational order of contact person is received for contact person's terminal, under the cloud server end The compressing image information is carried, and processing is unziped it to the compressing image information, obtains decompression image information;
Feedback unit is sent, for contact person's terminal according to the decompression image information, feedback contact person's input Corresponding processing image information to cloud server end, the cloud server end receives and stores the processing image information;
The processing image information is sent to the local cloud gateway, institute by high in the clouds transmission unit, the cloud server end It states local cloud gateway and receives and stores the processing image information.
A kind of remote auto image analysis methods provided by the present invention and system, the method includes:Irradiation image is set The standby operational order for receiving user, obtains the image information of patient and is uploaded to local cloud gateway, the local cloud gateway It is compressed to obtain compressing image information, the compressing image information is uploaded to cloud server end later;The cloud clothes Business device end receives the compressing image information, and chooses contact person from pre-set Affiliates List, to its corresponding end Hold information of giving notice;After contact person's terminal receives the notification information, the compressing image information is downloaded, later according to The corresponding image information that handles of compressing image information feedback is to cloud server end.It is special in the mating setting of basic hospital due to being not necessarily to Remote medical consultation with specialists instrument, but cloud server end is uploaded after acquiring the image information of patient by irradiation image equipment, and notify to join It is the contact person in roster so that the image information of patient obtains timely and effective processing.
Description of the drawings
Fig. 1 is the flow chart of the preferred embodiment of remote auto image analysis methods of the present invention.
Fig. 2 is the specific stream for acquiring and uploading the image information of patient in remote auto image analysis methods of the present invention Cheng Tu.
Fig. 3 is to be downloaded in remote auto image analysis methods of the present invention and handle the specific of the compressing image information Flow chart.
Fig. 4 is the structure diagram of the preferred embodiment of remote auto image analysis system of the present invention.
Specific implementation mode
The present invention provides a kind of remote auto image analysis methods and system, for make the purpose of the present invention, technical solution and Effect is clearer, clear, and the present invention is described in more detail for the embodiment that develops simultaneously referring to the drawings.It should be appreciated that herein Described specific embodiment is only used to explain the present invention, is not intended to limit the present invention.
Fig. 1 is referred to, Fig. 1 is the flow chart of the preferred embodiment of remote auto image analysis methods of the present invention.Such as Shown in Fig. 1, the remote auto image analysis methods include the following steps:
Step S100, irradiation image equipment receives the operational order of user, obtains the image information of patient and by the shadow As information is uploaded to local cloud gateway, the local cloud gateway carries out compression processing to the image information and obtains compressing image letter Breath, is uploaded to cloud server end by the compressing image information later;
In present pre-ferred embodiments, initial radioactivity image picture occupancy amount of storage is big, is imitated with storing process in transmission Rate is relatively low, must reduce the redundancy in image using the method for compression, image information or few loss are not being lost to reach In the case of, the effect that image stores required byte number is reduced, this is for shortening the communications time and reducing storage sky Between be all extremely effective.Compression method is divided into two methods of lossless compression and lossy compression.Lossless compression method can will be former Data carry out reversible recovery entirely without any loss, and lossy compression is then irreversible process, cannot be restored to original graph Piece.Since irradiation image picture carries out the information inaccuracy that lossy compression can make picture transmit, therefore generally use lossless compression Compression processing is carried out to initial radioactivity image picture.
Step S200, the cloud server end receives the compressing image information, and from pre-set Affiliates List Middle selection contact person gives notice information to the corresponding contact person's terminal of the contact person;
Obviously, after the cloud server end receives the compression compressing image information, need to give notice message in time, lead to Know that relevant treatment personnel carry out timely processing to it.Therefore it can be pre-set and storing contact list and its right in cloud server end The contact method answered, when the cloud server end receives any one compressing image information, the cloud server end is from from advance A contact person is chosen in the Affiliates List of setting, is given notice information to the corresponding contact person's terminal of the contact person, notice The compressing image information is further processed in the contact person.
Step S300, contact person's terminal receives the notification information, and receives the operational order of contact person, from described Cloud server end downloads the compressing image information, feeds back corresponding processing image information according to the compressing image information later To cloud server end.
Example is further carried out, as shown in Figure 1, the image information for obtaining patient in the step s 100 further includes before:
Step S10, cloud server end receives the operational order of user, and Affiliates List is arranged.
In presently preferred embodiments of the present invention, multiple contact persons and corresponding with contact person can be pre-set in cloud server end Contact method so that when the cloud server end receives arbitrary data information, select a contact person within a short period of time, and to It sends a notification message.Wherein, it is the expert physician of tertiary hospitals that the contact person in Affiliates List, which is arranged, all, and according to it The diagnostic field being good at is classified in Affiliates List.
Example is further carried out, as shown in Figure 1, feeding back corresponding place according to the compressing image information in step S300 After managing image information to cloud server end, further include:
Step S400, when contact person's terminal reception notification information, not from the cloud within the preset time Server end downloads the compressing image information, then the cloud server end is chosen next in pre-set Affiliates List Contact person, and give notice information to next contact person.
Since the first contact person that cloud server end is selected from Affiliates List may be because that cannot download and handle in time The compressing image information, cloud server end need to select another contact person from Affiliates List at this time, and be sent to described Notification information chooses another contact person if next contact person cannot still download and handle the compressing image information in time Until there is a contact person to download in the Affiliates List and handle it is described until.
Example is further carried out, as shown in Fig. 2, the image information of step S100 acquisitions and upload patient specifically wrap It includes:
Step S101, irradiation image equipment receives the operational order of user, obtains the image information of patient, and by the shadow As information is uploaded to local cloud gateway end;
In basic hospital, irradiation image equipment is connected with local cloud gateway, and local cloud gateway and cloud server end It is connected by Internet, therefore local cloud gateway can conveniently carry out data interaction with cloud server end.
Step S102, the described local cloud gateway end receives the image information, and the image information is carried out lossless pressure Contracting handles to obtain compressing image information, and the compressing image information is uploaded to cloud server end later.
Specifically, lossless compression conversion has used JPEG2000 codings to realize, the image compression rate of JPEG2000 codings 30%, and compressed image more smooth can be improved again on the basis of present JPEG.Current JPEG is marked Standard cannot be provided in the same compressed bit stream and be damaged and lossless compression simultaneously, and in JPEG2000 codings, pass through set amount Change parameter, image can be damaged and lossless compression, for lossless compression, quantization step must be 1.On present network Jpeg image is to be transmitted by " block ", and the image of JPEG2000 codings supports progressive transmission, i.e., first transmits image when downloading Profile, then gradually transmission data, is continuously improved picture quality, allows image by dim to clearly showing.
JPEG2000 cataloged procedures include wavelet transformation, quantization and entropy coding, finally form the output code flow of standard, wherein Core processing is wavelet transformation, is different from the discrete cosine of tradition JPEG(DCT)Transformation, wavelet transformation, which has, carries out signal The characteristics of multiresolution analysis and reflection signal local feature, in the case where not decompressing, interested image can be obtained at random Region(ROI)Compressed bit stream, the operations such as be transmitted, filter to the image data of compression.It is discrete small by being carried out to image Wave conversion, obtains wavelet coefficient image, and the wavelet coefficient of different sub-band reflects the spatial frequency of image level and vertical direction Characteristic.It is decomposed by multilevel wavelet, wavelet coefficient can indicate the high-frequency information in image(Such as image border), can also indicate to scheme Low-frequency information as in(Such as image background).In this way, even if in low bit-rate scenarios if can keep more image detail (Such as edge).When specific implementation, periodic symmetry extension will be carried out to image border, filter can be prevented to image side in this way Distortion is generated when edge operates.For example, the file size of 200 CT images is about 100M, less than 25M after lossless compression is handled, 3/4ths transmission time can be saved, and does not change image file suffix after compressing, it is only necessary to read image file When increase the decoding process of image pixel, you can restore original image data, contact person's terminal is without making any behaviour Make.
In step s 102, after the image information of the local cloud gateway end reception DICOM format, first the image is believed Breath carries out the lossless compression processing of image, will then according to setting IP address, port numbers, user name, password, storage catalogue etc. DICOM images are forwarded to cloud server end using FTP modes.
Ftp file transmission is mainly used in client/service environment.Detailed process is as follows:Ask one FTP of machine startup Client software sends out a request to target file server(Typically, this requirement is sent to port 21);Target FTP Server must run a FTP service end software, to cope with the data transfer request of multiple client.It is passed using FTP modes Defeated file detection is high, is convenient for management, therefore using the local cloud gateway end as ftp client, by collected DICOM format The image information cloud server end is uploaded in a manner of FTP.
Sending module transmit file the step of be:(1) it creates and initializes a network session;(2) it establishes and services The connection of device;(3) network parameter is inquired or is arranged when connecting;(4) FTP servers are operated, is realized according to 4 grades of mesh Directory structures uploads file function;(5) FTP connections are closed.
Wherein transmission must use Passive Mode, and client often due to fire wall interception, and because of port block And cause connection failure.And server-side FTP is by using Passive Mode, open corresponding high-order port(1025-65535), order Connection and data connection are all initiated by client, are adopted this method and be can be solved data port from server to client Enter the problem of direction connection is fallen by firewall filtering.Delay is had due to initializing and establishing connection, it is practical to be sent greatly by FTP The file of amount, transmission speed can reduce very much.By the way of multiple threads, multiple tasks, example are set up in the same time If 10 files transmit, the delay of initialization process is saved, and adequately utilize bandwidth, accelerate transmission speed.In addition, real Since there are the stability problems of network connection in the use of border, therefore the case where file data is lost is susceptible to when upper transmitting file, Such situation should take steps to avoid.By carrying out MD5 algorithm verifications after upload, the integrality of file can detect that.If hair Existing file is imperfect, then needs to transmit the progress of this document again.
Example is further carried out, as shown in figure 3, being downloaded in the step S300 and to handle the compressing image information specific Including:
Step S301, contact person's terminal receives the notification information, and logs in the cloud service according to the notification information Device end;
When contact person's terminal receives the notification message, only cloud clothes need to be logged on the computer that can even connect to the Net The WEB service webpage at business device end, inputs the account password of offer, can check the relevant informations such as the image information of upload.
Step S302, contact person's terminal receives the operational order of contact person, and the compression is downloaded from the cloud server end Image information, and processing is unziped it to the compressing image information, obtain decompression image information;
It is downloaded from the cloud server end when the operational order of contact person's terminal reception contact person and downloads the compressing image, And processing is unziped it to it.The decompressed image information for handling and inversely restoring can be just checked when decompression finishes.
Step S303, described contact person's terminal inputs corresponding according to the decompression image information, feedback contact person Image information is handled to cloud server end, the cloud server end receives and stores the processing image information;
Specifically, after the contact person checks the decompression image information, add on the decompression image information Add the text information for checking that the decompression image information post analysis obtains, obtains a processing image information, contact person's terminal connects After the operational order of receipts contact person re-compresses the processing image information, feedback is sent to cloud server end.
The processing image information is sent to the local cloud gateway by step S304, the described cloud server end, described Ground cloud gateway receives and stores the processing image information.
The processing image information is sent to local cloud gateway end described in step S100 by cloud server end.When described Ground cloud gateway receives the processing image information, and the processing image information is stored to the local cloud gateway, can be The processing image information is checked on the local cloud gateway, and the processing is influenced into information printing for sufferers themselves or base Layer hospital doctor is checked.
Example is further carried out, the notification information is short massage notice information, and the short massage notice information includes cloud clothes Business device end logs in link.
Based on the above method, the present invention also provides a kind of remote auto image analysis systems, as shown in figure 4, described remote Journey automatic image analysis system includes acquisition uploading module 100, notification module 200, downloads feedback module 300, wherein:
The acquisition uploading module 100 receives the operational order of user for irradiation image equipment, obtains the image of patient The image information is simultaneously uploaded to local cloud gateway by information, and the local cloud gateway carries out compression processing to the image information Compressing image information is obtained, the compressing image information is uploaded to cloud server end later;
The notification module 200 receives the compressing image information for the cloud server end, and from pre-set Contact person is chosen in Affiliates List, is given notice information to the corresponding contact person's terminal of the contact person;
The download feedback module 300 receives the notification information for contact person's terminal, and receives contact person's Operational order downloads the compressing image information from the cloud server end, feeds back phase according to the compressing image information later The processing image information answered is to cloud server end.
Example is further carried out, as shown in figure 4, the remote auto image analysis system further includes:
Setup module 10 receives the operational order of user for cloud server end, and Affiliates List is arranged;
Notification module 400 is recycled, for receiving the notification information when contact person's terminal, within the preset time The compressing image information is not downloaded from the cloud server end, then the cloud server end is in pre-set Affiliates List It is middle to choose next contact person, and give notice information to next contact person.
Example is further carried out, the acquisition uploading module 100 specifically includes:
Uploading unit is acquired, the operational order of user is received for irradiation image equipment, obtains the image information of patient, and The image information is uploaded to local cloud gateway end;
Compress uploading unit, the image information received for the local cloud gateway end, and by the image information into Row lossless compression handles to obtain compressing image information, and the compressing image information is uploaded to cloud server end later.
Example is further carried out, the download feedback module 300 specifically includes:
It notifies login unit, receives the notification information for contact person's terminal, and institute is logged according to the notification information State cloud server end;
Decompression unit is downloaded, the operational order of contact person is received for contact person's terminal, under the cloud server end The compressing image information is carried, and processing is unziped it to the compressing image information, obtains decompression image information;
Feedback unit is sent, for contact person's terminal according to the decompression image information, feedback contact person's input Corresponding processing image information to cloud server end, the cloud server end receives and stores the processing image information;
The processing image information is sent to the local cloud gateway, institute by high in the clouds transmission unit, the cloud server end It states local cloud gateway and receives and stores the processing image information.
In conclusion a kind of remote auto image analysis methods provided by the present invention and system, the method includes:It puts The operational order that image documentation equipment receives user is penetrated, the image information of patient is obtained and is uploaded to local cloud gateway, described Ground cloud gateway compresses it to obtain compressing image information, and the compressing image information is uploaded to cloud server end later; The cloud server end receives the compressing image information, and contact person, Xiang Qi are chosen from pre-set Affiliates List Corresponding terminal is given notice information;After contact person's terminal receives the notification information, the compressing image information is downloaded, later Corresponding processing image information is fed back to cloud server end according to the compressing image information.It is mating in basic hospital due to being not necessarily to Special remote medical consultation with specialists instrument is set, but cloud server end is uploaded after acquiring the image information of patient by irradiation image equipment, And notify contact person in Affiliates List so that the image information of patient obtains timely and effective processing.
It should be understood that the application of the present invention is not limited to the above for those of ordinary skills can With improvement or transformation based on the above description, all these modifications and variations should all belong to the guarantor of appended claims of the present invention Protect range.

Claims (2)

1. a kind of remote auto image analysis methods, which is characterized in that the method includes:
A, irradiation image equipment receives the operational order of user, obtains the image information of patient and is uploaded to the image information Local cloud gateway, the local cloud gateway carries out compression processing to the image information and obtains compressing image information, later by institute It states compressing image information and is uploaded to cloud server end;
B, the cloud server end receives the compressing image information, and contact is chosen from pre-set Affiliates List People gives notice information to the corresponding contact person's terminal of the contact person;
C, contact person's terminal receives the notification information, and receives the operational order of contact person, from the cloud server end The compressing image information is downloaded, corresponding processing image information is fed back to Cloud Server according to the compressing image information later End;
D, it when contact person's terminal reception notification information, is not downloaded from the cloud server end within the preset time The compressing image information, then the cloud server end choose next contact person in pre-set Affiliates List, and to Next contact person gives notice information;
Wherein, the step A includes:
A1, irradiation image equipment receive the operational order of user, obtain the image information of patient, and the image information is uploaded To local cloud gateway end;
A2, the local cloud gateway end receive the image information, and image information progress lossless compression is handled to obtain The compressing image information is uploaded to cloud server end by compressing image information later;
In the step A2, after the local cloud gateway end receives the image information of DICOM format, first to the image information into The lossless compression of row image is handled, then according to setting IP address, port numbers, user name, password, storage catalogue, by DICOM Image is forwarded to cloud server end using FTP modes;Local cloud gateway is that multithreading is connect with Cloud Server connection type;Cloud takes Device end FTP be engaged in using Passive Mode, open corresponding high-order port, order connects and data connection is all initiated by local cloud gateway;
The notification information is short massage notice information, and the short massage notice information includes that cloud server end logs in link;
After file is uploaded to cloud server end using FTP, MD5 algorithm verifications are carried out;
Further include before the step A:
S, cloud server end receives the operational order of user, and Affiliates List is arranged;
The step C includes:
C1, contact person's terminal receive the notification information, and log in the cloud server end according to the notification information;
C2, contact person's terminal receive the operational order of contact person, and the compressing image information is downloaded from the cloud server end, and Processing is unziped it to the compressing image information, obtains decompression image information;
C3, contact person's terminal are according to the decompression image information, the corresponding processing image letter of feedback contact person's input For breath to cloud server end, the cloud server end receives and stores the processing image information;
The processing image information is sent to the local cloud gateway by C4, the cloud server end, and the local cloud gateway connects It receives and stores the processing image information.
2. a kind of remote auto image analysis system, which is characterized in that the remote auto image analysis system includes in acquisition Transmission module, notification module download feedback module, setup module, cycle notification module, wherein:
The acquisition uploading module receives the operational order of user for irradiation image equipment, obtains the image information of patient simultaneously The image information is uploaded to local cloud gateway, the local cloud gateway carries out compression processing to the image information and pressed The compressing image information is uploaded to cloud server end by contracting image information later;The notification module is used for the cloud service Device end receives the compressing image information, and chooses contact person from pre-set Affiliates List, to the contact person couple The contact person's terminal answered is given notice information;
The download feedback module receives the notification information for contact person's terminal, and the operation for receiving contact person refers to It enables, the compressing image information is downloaded from the cloud server end, corresponding place is fed back according to the compressing image information later Image information is managed to cloud server end;
The setup module receives the operational order of user for cloud server end, and Affiliates List is arranged;
The cycle notification module, for receiving the notification information when contact person's terminal, within the preset time not The compressing image information is downloaded from the cloud server end, then the cloud server end is in pre-set Affiliates List It chooses next contact person, and gives notice information to next contact person;
The acquisition uploading module specifically includes:
Uploading unit is acquired, the operational order of user is received for irradiation image equipment, obtains the image information of patient, and by institute It states image information and is uploaded to local cloud gateway end;
Uploading unit is compressed, receives the image information for the local cloud gateway end, and the image information is subjected to nothing Damage compression processing obtains compressing image information, and the compressing image information is uploaded to cloud server end later;
After the local cloud gateway end receives the image information of DICOM format, the lossless of image first is carried out to the image information DICOM images are used FTP by compression processing then according to setting IP address, port numbers, user name, password, storage catalogue etc. Mode is forwarded to cloud server end;Local cloud gateway is that multithreading is connect with Cloud Server connection type;Cloud server end FTP is adopted With Passive Mode, open corresponding high-order port, order connection and data connection are all initiated by local cloud gateway;
After file is uploaded to cloud server end using FTP, MD5 algorithm verifications are carried out;
The notification information is short massage notice information, and the short massage notice information includes that cloud server end logs in link;
The download feedback module specifically includes:
It notifies login unit, receives the notification information for contact person's terminal, and the cloud is logged according to the notification information Server end;
Decompression unit is downloaded, the operational order of contact person is received for contact person's terminal, institute is downloaded from the cloud server end Compressing image information is stated, and processing is unziped it to the compressing image information, obtains decompression image information;
Feedback unit is sent, for contact person's terminal according to the decompression image information, the phase of feedback contact person's input For the processing image information answered to cloud server end, the cloud server end receives and stores the processing image information;
The processing image information is sent to the local cloud gateway by high in the clouds transmission unit, the cloud server end, described Ground cloud gateway receives and stores the processing image information.
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