CN116487006A - Cloud film resource interaction method and system based on digital image technology - Google Patents
Cloud film resource interaction method and system based on digital image technology Download PDFInfo
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Abstract
The invention provides a cloud film resource interaction method and system based on a digital image technology, and belongs to the technical field of digital image data processing. The method comprises the following steps: step 1, establishing data communication links between different terminals; step 2, transmitting the read electronic diagnosis data to an edge server; step 3, the edge server encrypts the received treatment data and transmits the encrypted data to the cloud for storage; step 4, based on the stored visit data, the user side sends a data reading request to the cloud server in the process of executing data sharing; step 5, after the cloud receives the data reading request, verifying the identity information of the requester; and 6, returning corresponding data after the identity information of the requester passes the verification. By establishing a shared data link, resource sharing among different doctor-seeing institutions is realized, and meanwhile, the doctor-seeing films are electronically stored, so that the storage difficulty of paper reports is effectively reduced.
Description
Technical Field
The invention belongs to the technical field of digital image data processing, and particularly relates to a cloud film resource interaction method and system based on a digital image technology.
Background
With the development of computer technology, a two-dimensional electronic image represented by a limited digital value pixel gradually replaces the traditional paper image data; meanwhile, with the advent of electronic image data, digital image technology has gradually penetrated into various industries. In the process of medical diagnosis and treatment, a doctor can give a representative film to a patient after complete diagnosis and treatment, and the traditional examination film has the storage problems of easy loss, easy breakage and the like, so that the patient needs to be examined again for the sake of clarity of the condition of the patient when the patient is in a second visit, and the time and the money are wasted.
In addition, when the patient is ready to switch the diagnosis facility, due to the independence among different resources, the patient is often subjected to repeated examination in the rolling process, so that additional expenditure of diagnosis cost is further caused, and the pressure of the patient on the diagnosis cost is increased.
Disclosure of Invention
The invention aims to: one objective is to provide a cloud film resource interaction method based on a digital image technology, so as to solve the problems in the prior art, realize resource sharing among different doctor institutions by establishing a shared data link, and simultaneously realize electronic storage and reading of the doctor films based on development of a digital technology, thereby effectively reducing storage difficulty of paper reports. Another objective is to provide a cloud film resource interaction system based on digital image technology, which is used for realizing a resource interaction method.
The technical scheme is as follows: in a first aspect, a cloud film resource interaction method based on a digital image technology is provided, and the method includes the following steps:
step 1, establishing a data communication link of a user side, an information acquisition terminal, an edge server side and a cloud server;
step 2, transmitting the electronic diagnosis data read by the information acquisition terminal to an edge server;
step 3, the edge server encrypts the received treatment data and transmits the encrypted data to the cloud for storage; the encryption process of the electronic treatment data is carried out by constructing an image data encryption model and comprises the following steps of:
step 3.1, reading electronic diagnosis data to be analyzed;
step 3.2, identifying the region where the detection target in the electronic diagnosis data is located;
step 3.3, dividing a main area and an auxiliary area according to the identification result;
step 3.4, synchronously executing an encryption method on the main area and the auxiliary area;
step 3.5, summarizing encryption results of the main area and the auxiliary area to obtain final encrypted data;
and 3.6, outputting a final encryption result.
Step 4, based on the stored visit data, the user side sends a data reading request to the cloud server in the process of executing data sharing;
step 5, after the cloud receives the data reading request, verifying the identity information of the requester;
and 6, returning corresponding data after the identity information of the requester passes the verification.
In some implementations of the first aspect, the main area is obtained by identifying an area where a detection target in the electronic diagnosis data is located by constructing an important area identification expression, where the important area identification expression is:
wherein G (x) represents a normalization operation; mu (mu) θ A weight value representing a current analysis feature; θ represents a preset analysis feature; delta represents a preset weight value.
Performing an encryption process on the main area includes the steps of:
step 3.4.A.1, receiving main area image data to be analyzed;
step 3.4.A.2, generating a random matrix with the same size as the main area through iterative logic mapping;
step 3.4.A.3, performing binary conversion on the random matrix and the pixel value fingers of the main area;
step 3.4.A.4, coding the random matrix and the main area by utilizing a DNA preset coding rule based on a binary conversion result;
step 3.4.A.5, generating a secret key through a four-dimensional chaotic technology;
and step 3.4.A.5, encrypting the encoding result of the step 3.4.A.4 by adopting a secret key to obtain encrypted data.
Performing an encryption process on the auxiliary area by adopting a compressed sensing method, wherein the encryption process comprises the following steps of:
step 3.4.b.1, performing coefficient processing on the image data of the auxiliary area by using discrete wavelet transformation to obtain a sparse image matrix;
step 3.4.B.2, randomly generating a measurement matrix by adopting a chaos technology;
step 3.4.B.3, adding the half tensor product to the sparse matrix and the measurement matrix;
step 3.4.B.4, performing compression and encryption by compressing the perceptual expression;
the compressed sensing expression is:
S＝σ(τx)
wherein S represents a compressed vector; sigma represents an observed quantity matrix; τ represents a sparse orthogonal basis matrix; x represents a sparse vector.
In some implementations of the first aspect, in a process of transmitting data in the edge server to the cloud server, the method further includes: and constructing an image data compression model, and executing compression operation on the electronic treatment data to be transmitted by using the image data compression model.
The image data compression model comprises: an initial compression network, a deep compression network, and a composite network; in the process of executing the electronic medical data compression, the initial compression model is used for receiving the electronic medical data to be compressed and executing the initial compression to obtain an initial compression image. The depth compression network is used for performing secondary compression on the initial compression image to obtain a depth compression image. The composite network is used for synchronously receiving the initial compressed image and the depth compressed image, and executing final downsampling operation to obtain final compressed electronic diagnosis data.
In addition, the depth compression network comprises at least two depth compression modules, and the depth compression network performs secondary compression on the initial compression image; the depth compression module comprises a feature compression module, and the integrated data output by the feature compression module of the first feature compression module comprises two data sources, wherein the first data source is the output data of the current feature compression module, and the second data source is the output data of the feature compression module of the last layer.
In a second aspect, a cloud film resource interaction system based on a digital image technology is provided, which is used for implementing a cloud film resource interaction method based on the digital image technology, and the system comprises the following modules:
a link module for constructing data communication links between different terminals;
the acquisition module is used for acquiring electronic diagnosis data of a user for diagnosis by adopting different terminal diagnosis equipment;
the transmission module is used for executing data transmission operation according to the data interaction requirement;
an encryption module for performing encryption operation on data to be transmitted according to security requirements;
the storage module is used for constructing a data storage table according to storage requirements and storing corresponding data according to requirements;
and the interaction module is used for executing the reading operation of the different users on the doctor-seeing data according to the data reading request.
In some implementations of the second aspect, the memory module includes: the edge server and the cloud server; the interaction module comprises: the device comprises a request module, a verification module and a response module.
In a third aspect, a cloud film resource interaction device based on digital image technology is provided, where the device includes: a processor and a memory storing computer program instructions.
The processor reads and executes the computer program instructions to realize the cloud film resource interaction method based on the digital image technology.
In a fourth aspect, a computer-readable storage medium having computer program instructions stored thereon is presented. When the computer program instructions are executed by the processor, the cloud film resource interaction method based on the digital image technology is realized.
The beneficial effects are that: the invention provides a cloud film resource interaction method and a cloud film resource interaction system based on a digital image technology, which realize resource sharing among different consultation institutions by establishing a shared data link; meanwhile, based on the development of digital technology, the digital storage and reading of the on-site film are performed, so that the storage difficulty of the paper report is effectively reduced.
In addition, a data transmission method is further provided for the transmission requirement and the storage requirement of different terminals on the digital image data and for the transmission of the generated image film data, so that the data transmission efficiency is improved in the process of being convenient for data reading.
Drawings
FIG. 1 is a flow chart of data processing according to the present invention.
Fig. 2 is a schematic diagram of an image data compression model according to the present invention.
Detailed Description
In the following description, numerous specific details are set forth in order to provide a more thorough understanding of the present invention. It will be apparent, however, to one skilled in the art that the invention may be practiced without one or more of these details. In other instances, well-known features have not been described in detail in order to avoid obscuring the invention.
Example 1
In one embodiment, in order to overcome repeated treatment expense generated in the treatment process of a patient and resource sharing among different diagnosis and treatment institutions, the embodiment provides a cloud film resource interaction method of a digital image technology based on a communication network and an electronic resource storage technology, wherein the treatment film performs electronic storage and reading, so that the storage difficulty of a paper report is effectively reduced; meanwhile, by establishing a shared data link, resource sharing among different treatment institutions is realized, and redundant inspection expenditure is reduced. As shown in fig. 1, the method comprises the steps of:
step 1, establishing a data communication link of a user side, an information acquisition terminal, an edge server side and a cloud server;
step 2, transmitting the electronic diagnosis data read by the information acquisition terminal to an edge server;
specifically, in order to facilitate the reading of the visit data of the same visit user between different subsequent institutions, when the visit user performs the visit at any one of the visit institutions for the first time, a unique visit number is automatically generated, the visit number is used as a main key of a database storage table in a cloud server, and the visit number is applicable to any one of the visit institutions.
Step 3, the edge server encrypts the received treatment data and transmits the encrypted data to the cloud for storage;
specifically, in order to improve the security of the medical data, an image data encryption model is built in the edge server, and the data encryption is performed on the received medical data by using the model. Wherein the encryption process comprises the steps of:
step 3.1, reading electronic diagnosis data to be analyzed;
step 3.2, identifying the region where the detection target in the electronic diagnosis data is located;
specifically, an important area identification expression is constructed to identify an area where a detection target in electronic diagnosis data is located, so as to obtain a main area, wherein the important area identification expression is as follows:
wherein G (x) represents a normalization operation; mu (mu) θ A weight value representing a current analysis feature; θ represents a preset analysis feature; delta represents a preset weight value.
In a preferred embodiment, the difference between the multisystem center and the adjacent similarity is calculated by using a discrete cosine coefficient, so that the saliency map feature is obtained, and then the final saliency region is obtained by combining different saliency map features, so that the main region is obtained.
Step 3.3, dividing a main area and an auxiliary area according to the identification result;
step 3.4, synchronously executing an encryption method on the main area and the auxiliary area;
wherein the encryption process for the main area comprises the steps of:
step 3.4.A.1, receiving main area image data to be analyzed;
step 3.4.A.2, generating a random matrix with the same size as the main area through iterative logic mapping;
wherein the expression of the logical mapping is:
wherein gamma represents a predetermined parameter, wherein the leaderThe expression of (2) is:
wherein w×h represents the size of the original image data; pic represents the original image;
(m, n) represents the position of the current pixel point in the original image; pic (m, n) represents the pixel value of the current pixel point.
Step 3.4.A.3, performing binary conversion on the random matrix and the pixel value fingers of the main area;
step 3.4.A.4, coding the random matrix and the main area by utilizing a DNA preset coding rule based on a binary conversion result;
step 3.4.A.5, generating a secret key through a four-dimensional chaotic technology;
and step 3.4.A.6, encrypting the encoding result of the step 3.4.A.4 by adopting a secret key to obtain encrypted data.
The embodiment adopts a mode of combining DNA coding and chaos technology to execute a data encryption process, so that the encryption process has higher security and the capability of resisting illegal attacks.
The encryption process for the satellite region comprises the following steps:
step 3.4.b.1, performing coefficient processing on the image data of the auxiliary area by using discrete wavelet transformation to obtain a sparse image matrix;
step 3.4.B.2, randomly generating a measurement matrix by adopting a chaos technology;
step 3.4.B.3, adding the half tensor product to the sparse matrix and the measurement matrix;
step 3.4.B.4, performing compression and encryption by compressing the perceptual expression;
the compressed sensing expression is:
5＝σ(τx)
wherein S represents a compressed vector; sigma represents an observed quantity matrix; τ represents a sparse orthogonal basis matrix; x represents a sparse vector.
Wherein the half tensor product is defined as: let x= (X) 1 ，x 2 ，…，x p ) Is a row vector, y= (Y) 1 ，y 2 ，…，y t ) T Is a column vector, and when t is a factor of s, i.e., s=t×n, is an n-dimensional row vector, the corresponding expression is:
wherein, the left half tensor product of X and Y corresponds to the expression:
X＝(X 1 ，X ２ ，…，X t ，…，X t )，X i ∈R n
when s is a factor of t, i.e., t=s×n, an n-dimensional column vector is given, and the corresponding expression is:
wherein the left half tensor product of X and Y corresponds to the expression:
Y＝((Y 1 ) T ，(Y 2 ) T ，…，(Y i ) T ，…，(Y s ) T ) T ，Y i ∈R n
the present embodiment achieves data compression by converting an observation matrix different from the original signal transform domain into a low-dimensional space.
Step 3.5, summarizing encryption results of the main area and the auxiliary area to obtain final encrypted data;
and 3.6, outputting a final encryption result.
According to the embodiment, two-stage data encryption is divided according to the actual detection result, and encryption methods with different degrees are adopted by identifying the target detection area and the background area, so that the computing resources are effectively saved, and the safety in the data transmission process is improved.
Step 4, based on the stored visit data, the user side sends a data reading request to the cloud server in the process of executing data sharing;
step 5, after the cloud receives the data reading request, verifying the identity information of the requester;
and 6, returning corresponding data after the identity information of the requester passes the verification.
In a preferred embodiment, establishing a data communication link of a user side, an information acquisition terminal, an edge server side and a cloud server; the information acquisition terminal comprises various different examination devices and is used for acquiring digital image diagnosis data generated in the user examination process. The edge server is arranged in different diagnosis and treatment institutions and used for receiving and storing the diagnosis data acquired by the information acquisition terminal. The cloud server is arranged at the cloud and used for storing the diagnosis data uploaded by the different edge servers. The user terminal comprises: the patient terminal and the medical care terminal are used for sending a diagnosis data reading request to the cloud server according to the requirements and receiving diagnosis data returned by the cloud server.
When the data resource sharing is executed, the diagnosis data of the patient is acquired through the information acquisition terminal, is transmitted to the edge server for caching, and is uploaded to the cloud server for storage, so that the storage pressure of the edge server is reduced. In the actual data reading process, the user side sends a data reading request to the cloud server, and then the cloud server returns corresponding response data after verifying the identity of the requesting user. Because the sharing of the data resources reduces the authority of data request reading to all diagnosis and treatment structures, in order to prevent malicious data attack and illegal reading, for the received diagnostic data reading request, an identity verification operation is further added in the process of responding to the request; meanwhile, the user side directly performs data interaction with the cloud in the process of completing the data reading request, the data interaction is not performed on the intranet where the current diagnosis and treatment institution is located any more, the intranet data safety is effectively guaranteed, and the data interaction efficiency is improved.
According to the embodiment, the received treatment result is uploaded to the cloud server through the established data communication link, so that the data storage pressure of the local end is reduced, meanwhile, based on the shared resource link, the data reading of different terminal users is completed through data reading requests and verification, the treatment resource sharing is realized, and the data utilization rate is effectively improved.
In summary, the present embodiment provides an interaction method for cloud film resources based on digital image technology, and stores medical image inspection results into a server based on mobile internet and cloud storage, so that difficulty in paper storage is effectively reduced, meanwhile, sharing of diagnosis results among different diagnosis and treatment institutions is more convenient through an electronic data storage mode, leading diagnosis and treatment conditions of patients are convenient to grasp, and medical staff is assisted in formulating more accurate diagnosis and treatment schemes.
Example two
In a further embodiment based on the first embodiment, in the process of data transmission, because the image data occupies a great transmission resource, the transmission time is long, and the situation that the network environment is poor often occurs such as data loading failure, loss and the like, thereby affecting the reading of the disease data. Therefore, in order to reduce the resource pressure on the data transmission channel, the present embodiment performs image compression processing on the generated medical image data during the data transmission.
Specifically, an image data compression model is built in the edge server, and compression processing is carried out on the electronic treatment data transmitted by the information acquisition terminal. As shown in fig. 2, the image data compression model includes: initial compression networks, deep compression networks, and composite networks.
In the process of executing the electronic medical treatment data compression, the initial compression model is used for receiving the electronic medical treatment data to be compressed and executing the initial compression to obtain an initial compression image; the depth compression network is used for performing secondary compression on the initial compression image to obtain a depth compression image; the composite network is used for synchronously receiving the initial compressed image and the depth compressed image, and executing final downsampling operation to obtain final compressed electronic diagnosis data.
The depth compression network comprises at least two depth compression modules, wherein the process of performing secondary compression on an initial compressed image comprises two data sources, the first data source is output data of the current feature compression module, the second data source is output data of the feature compression module of the last layer, and then element-by-element addition operation is performed on the image data sources to obtain final output data. In the embodiment, by dividing the processing mode of the data stream, compared with downsampling image data in the prior art, the embodiment can keep image details in the compression process and reduce information loss.
In a further embodiment, in the process of executing the electronic diagnosis data compression, firstly, performing a downsampling operation on the received electronic diagnosis data by using an initial compression model to obtain an initial compressed image; the image data is then divided into two image data streams, one into the deep compression network and the other into the composite network. The data entering the deep compression network sequentially enter the feature compression module.
In the preferred embodiment, the edge server performs the encryption operation after completing the image data compression, so that compared with directly performing the encryption on the source data, the occupation of resources in the encryption process is greatly reduced, the calculation difficulty is reduced, and the encryption speed is improved.
Example III
In one embodiment, a cloud film resource interaction system based on a digital image technology is provided, which is used for implementing a cloud film resource interaction method based on the digital image technology, and the system comprises the following modules: the system comprises a link module, an acquisition module, a transmission module, an encryption module, a storage module and an interaction module; the link module is used for constructing data communication links among different terminals; the acquisition module is used for acquiring the diagnosis data of the user for diagnosis by using different terminal diagnosis devices; the transmission model is arranged between different application modules, and data transmission is executed based on the constructed data communication link; the encryption module executes encryption operation on the treatment data obtained by the acquisition module according to the security requirement; the storage module is used for constructing a data storage table according to the data storage requirement and executing data storage; the interaction model is used for executing reading operation of different terminal users on the treatment data according to the actual data reading request.
Wherein, the memory module comprises: the edge server and the cloud server; the interaction module comprises: the device comprises a request module, a verification module and a response module.
In a further embodiment, in order to improve the data transmission efficiency, the edge server in the storage module further includes a model building module, configured to build an image data compression model according to the actual application requirement, where the model is configured to perform a compression operation on the patient data to be transmitted. Specifically, the image data compression model includes: initial compression networks, deep compression networks, and composite networks.
Example IV
In one embodiment, a cloud film resource interaction device for digital imaging technology is provided, and the device includes: a processor and a memory storing computer program instructions.
The processor reads and executes the computer program instructions to realize the cloud film resource interaction method of the digital image technology.
Example five
In one embodiment, a computer-readable storage medium having computer program instructions stored thereon is presented.
When the computer program instructions are executed by the processor, the cloud film resource interaction method of the digital image technology is realized.
As described above, although the present invention has been shown and described with reference to certain preferred embodiments, it is not to be construed as limiting the invention itself. Various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. A cloud film resource interaction method based on a digital image technology is characterized by comprising the following steps:
step 1, establishing a data communication link of a user side, an information acquisition terminal, an edge server side and a cloud server;
step 2, transmitting the electronic diagnosis data read by the information acquisition terminal to an edge server;
step 3, the edge server encrypts the received treatment data and transmits the encrypted data to the cloud for storage;
step 4, based on the stored visit data, the user side sends a data reading request to the cloud server in the process of executing data sharing;
step 5, after the cloud receives the data reading request, verifying the identity information of the requester;
and 6, returning corresponding data after the identity information of the requester passes the verification.
2. The cloud film resource interaction method based on the digital image technology as claimed in claim 1, wherein the electronic medical treatment data encryption is performed by constructing an image data encryption model, and the encryption process comprises the following steps:
step 3.1, reading electronic diagnosis data to be analyzed;
step 3.2, identifying the region where the detection target in the electronic diagnosis data is located;
step 3.3, dividing a main area and an auxiliary area according to the identification result;
step 3.4, synchronously executing an encryption method on the main area and the auxiliary area;
step 3.5, summarizing encryption results of the main area and the auxiliary area to obtain final encrypted data;
and 3.6, outputting a final encryption result.
3. The cloud film resource interaction method based on the digital image technology according to claim 2, wherein the main area is obtained by constructing an important area identification expression to identify an area where a detection target in electronic diagnosis data is located, and the important area identification expression is:
wherein G (x) represents a normalization operation; mu (mu) θ A weight value representing a current analysis feature; θ represents a preset analysis feature; delta represents a preset weight value.
4. The cloud film resource interaction method based on digital image technology as claimed in claim 2, wherein performing an encryption process on the main area comprises the steps of:
step 3.4.A.1, receiving main area image data to be analyzed;
step 3.4.A.2, generating a random matrix with the same size as the main area through iterative logic mapping;
step 3.4.A.3, performing binary conversion on the random matrix and the pixel value fingers of the main area;
step 3.4.A.4, coding the random matrix and the main area by utilizing a DNA preset coding rule based on a binary conversion result;
step 3.4.A.5, generating a secret key through a four-dimensional chaotic technology;
and step 3.4.A.6, encrypting the encoding result of the step 3.4.A.4 by adopting a secret key to obtain encrypted data.
5. The cloud film resource interaction method based on the digital image technology as claimed in claim 2, wherein an encryption process is performed on the auxiliary area by adopting a compressed sensing method, wherein the encryption process comprises the following steps:
step 3.4.b.1, performing coefficient processing on the image data of the auxiliary area by using discrete wavelet transformation to obtain a sparse image matrix;
step 3.4.B.2, randomly generating a measurement matrix by adopting a chaos technology;
step 3.4.B.3, adding the half tensor product to the sparse matrix and the measurement matrix;
step 3.4.B.4, performing compression and encryption by compressing the perceptual expression;
the compressed sensing expression is:
S＝σ(τx)
wherein S represents a compressed vector; sigma represents an observed quantity matrix; τ represents a sparse orthogonal basis matrix; x represents a sparse vector.
6. The cloud film resource interaction method based on the digital image technology of claim 1, wherein in the process of transmitting the data in the edge server to the cloud server, the method further comprises: constructing an image data compression model, and executing compression operation on electronic treatment data to be transmitted by using the image data compression model;
the image data compression model includes: an initial compression network, a deep compression network, and a composite network;
in the process of executing the electronic medical treatment data compression, the initial compression model is used for receiving the electronic medical treatment data to be compressed and executing the initial compression to obtain an initial compression image;
the depth compression network is used for performing secondary compression on the initial compression image to obtain a depth compression image;
the composite network is used for synchronously receiving the initial compressed image and the depth compressed image, and executing final downsampling operation to obtain final compressed electronic diagnosis data.
7. The cloud film resource interaction method based on the digital imaging technology according to claim 6, wherein the depth compression network comprises at least two depth compression modules, and the second compression is performed on the initial compressed image; the depth compression module comprises a feature compression module, wherein the integrated data output by the feature compression module of the first feature compression module comprises two data sources, the first data source is the output data of the current feature compression module, and the second data source is the output data of the feature compression module of the last layer.
8. A cloud film resource interaction system based on a digital image technology, which is used for realizing the cloud film resource interaction method based on the digital image technology as claimed in any one of claims 1 to 7, and is characterized by comprising the following modules:
a link module configured to construct a data communication link between different terminals;
the acquisition module is used for acquiring electronic diagnosis data of a user for diagnosis by using different terminal diagnosis devices;
the transmission module is arranged to execute data transmission operation according to the data interaction requirement;
an encryption module configured to perform an encryption operation on data to be transmitted according to security requirements;
the storage module is arranged to construct a data storage table according to storage requirements and store corresponding data according to the requirements;
and the interaction module is used for executing reading operation of different users on the treatment data according to the data reading request.
9. A cloud film resource interaction device based on digital imaging technology, the device comprising:
a processor and a memory storing computer program instructions;
the processor reads and executes the computer program instructions to implement the cloud film resource interaction method based on digital imaging technology as claimed in any one of claims 1 to 7.
10. A computer readable storage medium, wherein computer program instructions are stored on the computer readable storage medium, and when executed by a processor, the computer program instructions implement the cloud film resource interaction method based on digital imaging technology as claimed in any one of claims 1-7.
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