CN113946851A - Medical image management method, medical image management device, electronic device, and storage medium - Google Patents
Medical image management method, medical image management device, electronic device, and storage medium Download PDFInfo
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
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- G06F21/60—Protecting data
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Abstract
The application relates to the field of digital medical treatment, and discloses a medical image management method, a medical image management device, electronic equipment and a storage medium, wherein the method receives and decomposes a medical image file transmitted by terminal equipment to obtain metadata and image data of the medical image file; extracting first characteristic information according to the image data, and extracting second characteristic information according to the metadata; dividing the image data to form at least two image data pieces; acquiring storage space information and node position information of each data storage node, and distributing data storage nodes corresponding to metadata and image data pieces to encrypt and store the metadata and the image data pieces; recording storage paths of the metadata and the image data pieces, decrypting and verifying the data, and constructing an index database; and when a data downloading request sent by the user terminal is received, acquiring target file data according to the data downloading request and sending the target file data to the user terminal.
Description
Technical Field
The present application relates to the field of digital medical technology, and in particular, to a method and an apparatus for managing medical images, an electronic device, and a storage medium.
Background
With the continuous development of computing and the deep application of various industries, more and more industries store own data in a cloud. The medical industry is a mastery force army, and with the storage of massive medical images in the cloud, how to efficiently and safely store the images becomes a critical affair.
At present, when medical image storage is performed, a client generally uploads a medical image file obtained after examination to a cloud server for storage, and when the client needs to read the medical image file, the medical image file is directly downloaded from the cloud server for display.
However, in the prior art, the security of storing the medical image file is low, and the precise query of the medical image file cannot be realized, so how to effectively manage the medical image file to improve the security of storing the medical image file and the query precision is a technical problem to be solved by those skilled in the art.
Disclosure of Invention
The embodiment of the present application mainly aims to provide a method and an apparatus for managing a medical image, an electronic device, and a storage medium, which aim to achieve effective management of a medical image file, and improve security and query accuracy of storage of the medical image file.
In a first aspect, an embodiment of the present application provides a method for managing medical images, including:
receiving a medical image file transmitted by terminal equipment, and decomposing the medical image file to obtain metadata and image data of the medical image file;
extracting first characteristic information corresponding to the medical image file according to the image data, and extracting second characteristic information corresponding to the medical image file according to the metadata;
performing segmentation processing on the image data to segment each image data into at least two image data pieces;
acquiring storage space information and node position information of each data storage node, and screening out corresponding metadata storage nodes and image data storage nodes from each data storage node according to the storage space information and the node position information;
encrypting the metadata and transmitting the encrypted metadata to the metadata storage node;
encrypting the image data pieces and transmitting the encrypted image data pieces to the image data storage nodes, wherein at least two image data pieces corresponding to the same medical image file are stored in at least two image data storage nodes;
recording the storage path of the metadata and the image data sheet corresponding to each medical image file, and recording the decryption verification data of the metadata and the image data sheet corresponding to each medical image file;
constructing an index database of the medical image file according to the storage path, the decryption verification data, the first characteristic information and the second characteristic information;
when a data downloading request sent by a user terminal is received, target file data corresponding to a target medical image file matched with the data downloading request is obtained according to the data downloading request and the index database, and the target file data is sent to the user terminal.
In a second aspect, an embodiment of the present application further provides a medical image management apparatus, including:
the image receiving module is used for receiving the medical image file transmitted by the terminal equipment and decomposing the medical image file to obtain metadata and image data of the medical image file;
the feature extraction module is used for extracting first feature information corresponding to the medical image file according to the image data and extracting second feature information corresponding to the medical image file according to the metadata;
the data segmentation module is used for carrying out segmentation processing on the image data so as to segment each image data into at least two image data pieces;
the node distribution module is used for acquiring storage space information and node position information of each data storage node, and screening out corresponding metadata storage nodes and image data storage nodes from each data storage node according to the storage space information and the node position information;
the first transmission module is used for encrypting the metadata and transmitting the encrypted metadata to the metadata storage node;
the second transmission module is used for encrypting the image data pieces and transmitting the encrypted image data pieces to the image data storage nodes, wherein at least two image data pieces corresponding to the same medical image file are stored in at least two image data storage nodes;
the data recording module is used for recording the metadata corresponding to each medical image file and the storage path of the image data sheet, and recording the decryption verification data of the metadata corresponding to each medical image file and the image data sheet;
the index construction module is used for constructing an index database of the medical image file according to the storage path, the decryption verification data, the first characteristic information and the second characteristic information;
and the file sending module is used for acquiring target file data corresponding to a target medical image file matched with the data downloading request according to the data downloading request and the index database when receiving the data downloading request sent by the user terminal, and sending the target file data to the user terminal.
In a third aspect, embodiments of the present application further provide an electronic device, which includes a processor, a memory, a computer program stored on the memory and executable by the processor, and a data bus for implementing connection communication between the processor and the memory, wherein when the computer program is executed by the processor, the steps of any one of the medical image management methods provided in the present specification are implemented.
In a fourth aspect, the present application further provides a storage medium for a computer-readable storage, wherein the storage medium stores one or more programs, and the one or more programs are executable by one or more processors to implement the steps of any one of the medical image management methods provided in the present specification.
The embodiment of the application provides a medical image management method, a medical image management device, electronic equipment and a storage medium, wherein the method comprises the steps of receiving a medical image file transmitted by terminal equipment, decomposing the medical image file and obtaining metadata and image data of the medical image file; extracting first characteristic information corresponding to the medical image file according to the image data, and extracting second characteristic information corresponding to the medical image file according to the metadata; performing segmentation processing on the image data to segment each image data into at least two image data pieces; acquiring storage space information and node position information of each data storage node, and screening out corresponding metadata storage nodes and image data storage nodes from each data storage node according to the storage space information and the node position information; encrypting the metadata and transmitting the encrypted metadata to the metadata storage node; encrypting the image data pieces and transmitting the encrypted image data pieces to the image data storage nodes, wherein at least two image data pieces corresponding to the same medical image file are stored in at least two image data storage nodes; recording the storage path of the metadata and the image data sheet corresponding to each medical image file, and recording the decryption verification data of the metadata and the image data sheet corresponding to each medical image file; constructing an index database of the medical image file according to the storage path, the decryption verification data, the first characteristic information and the second characteristic information; when a data downloading request sent by a user terminal is received, target file data corresponding to a target medical image file matched with the data downloading request is obtained according to the data downloading request and the index database, and the target file data is sent to the user terminal. According to the medical image management method, the medical image file can be divided into the corresponding metadata and the image data, and the image data is sliced to obtain the corresponding image data slice. And then, the metadata and the image data pieces are encrypted and respectively stored in different data storage nodes, so that even if the data stored in one node is leaked, a complete medical image file cannot be leaked, meanwhile, a corresponding decryption check file can be generated when the file is encrypted, and whether the corresponding encrypted information is tampered or not can be verified through the decryption check file, thereby increasing the data storage safety. Furthermore, when data storage is carried out, image information features and character information features corresponding to the image data are extracted to construct a corresponding index database, and when a data downloading request is received, the data downloading request is utilized to accurately match a corresponding medical image file in the index database, so that accurate downloading of the medical image file is realized.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a flowchart illustrating steps of a medical image management method according to an embodiment of the present application;
FIG. 2 is a schematic diagram of the image data divided into several regions;
FIG. 3 is a schematic diagram of image data being randomly divided into regions;
fig. 4 is a schematic block diagram of a medical image management apparatus according to an embodiment of the present application;
fig. 5 is a block diagram schematically illustrating a structure of an electronic device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The flow diagrams depicted in the figures are merely illustrative and do not necessarily include all of the elements and operations/steps, nor do they necessarily have to be performed in the order depicted. For example, some operations/steps may be decomposed, combined or partially combined, so that the actual execution sequence may be changed according to the actual situation.
It is to be understood that the terminology used in the description of the present application herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in the specification of the present application and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
With the continuous development of computing and the deep application of various industries, more and more industries store own data in a cloud. The medical industry is a mastery force army, and with the storage of massive medical images in the cloud, how to efficiently and safely store the images becomes a critical affair.
At present, when medical image storage is performed, a client generally uploads a medical image file obtained after examination to a cloud server for storage, and when the client needs to read the medical image file, the medical image file is directly downloaded from the cloud server for display.
However, in the prior art, the security of storing the medical image file is low, and the precise query of the medical image file cannot be realized, so how to effectively manage the medical image file to improve the security of storing the medical image file and the query precision is a technical problem to be solved by those skilled in the art.
In order to solve the above problem, embodiments of the present application provide a method and an apparatus for managing a medical image, an electronic device, and a storage medium, where the method for managing a medical image provided by embodiments of the present application is applicable to an electronic device. The electronic device can be a mobile phone, a tablet computer, a notebook computer, a desktop computer, a personal digital assistant, a wearable device or a server, wherein the server can be an independent server or a server cluster.
In this embodiment, for the sake of understanding of the related art, the method for managing medical images is described by taking a server applied to a data management platform as an example.
Some embodiments of the present application will be described in detail below with reference to the accompanying drawings. The embodiments described below and the features of the embodiments can be combined with each other without conflict.
Referring to fig. 1, fig. 1 is a schematic flowchart illustrating a procedure of a medical image management method according to an embodiment of the present application.
As shown in fig. 1, the method of managing medical images includes steps S1 through S9.
Step S1: receiving a medical image file transmitted by a terminal device, and decomposing the medical image file to obtain metadata and image data of the medical image file, wherein the metadata is used for representing attribute information of the image data and patient information related to the image data.
The medical image file is medical image data acquired by medical Imaging equipment, and the medical Imaging equipment includes Computed Tomography (CT), Magnetic Resonance Imaging (MRI), X-Ray Imaging (XR), Molecular Imaging (Molecular Imaging), ultrasound equipment, and multimodal medical Imaging equipment including combinations thereof.
The medical image file is a DICOM file (Digital Imaging and Communications in Medicine). Metadata, also called meta-information, Tag information of a DICOM file, which includes: image information such as image width, height, image size, data transmission format, and the like, and patient information.
The patient information comprises information such as patient name, patient birthday, case hospital, case department, description of illness state and the like, and the image data is image data of the patient in the metadata.
When receiving a medical image file transmitted by a terminal device, a server of a data management platform decomposes the medical image file to obtain metadata and image data corresponding to each medical image file.
Step S2: and extracting first characteristic information corresponding to the medical image file according to the image data, and extracting second characteristic information corresponding to the medical image file according to the metadata.
Illustratively, the first feature information is used for characterizing data features of the image data corresponding to each medical image file, and the second feature information is used for characterizing data features of the metadata corresponding to each medical image file, and one medical image file can be determined by the first feature information and the second feature information.
The metadata is character information, and the feature information corresponding to the metadata can be obtained by splitting the metadata into keywords or keywords and extracting the keywords or keywords, wherein the extraction of the keywords or keywords can be determined by comparing the split keywords with keywords in a preset lexicon. Information such as patient name, patient birthday, case hospital, case department, description of illness state and the like can be obtained through the data characteristics of the metadata. The image data is an image file, the data characteristics corresponding to the image file can be obtained by performing characteristic extraction on the image file, and the image file corresponding to the image data comprises at least one of an image area, a blank area and a text area.
In some embodiments, the extracting first feature information corresponding to the medical image file according to the image data includes:
identifying an image area corresponding to the image data, and extracting image characteristics of the image area;
identifying character information corresponding to the image data, and extracting corresponding character features according to the character information;
and constructing first characteristic information according to the image characteristics and the character characteristics.
For example, the image characteristics of the image data corresponding to each medical image file may be different, and in order to accurately identify the corresponding image data, when feature extraction is performed on the image data of each medical image file, an image region of the image data corresponding to each medical image file is identified, and image features of the image region are extracted. And meanwhile, identifying the text information of each image data corresponding to each medical image file, extracting corresponding text characteristics according to the text information, and constructing first characteristic information of the medical image file according to the image characteristics and the text characteristics. The image region may be identified by an edge identification algorithm of the image, or obtained by a trained AI model, which is not limited herein. The image features corresponding to the image regions comprise at least one of color features, shape features and texture features.
By identifying the corresponding character features and image features in each image data, the related features of each image data can be accurately obtained, and the corresponding image data can be accurately positioned by utilizing the data features of the image data, so that the corresponding medical image file can be positioned.
In some embodiments, the identifying an image region corresponding to the image data and extracting image features of the image region includes:
identifying an image area of the image data to obtain a first picture;
acquiring color attribute information of the first picture, matching a picture conversion mode of the first picture according to the color attribute information, and converting the first picture into a second picture according to the picture conversion mode, wherein the picture attributes of the first picture and the second picture are different;
acquiring the average gray value of the second picture and the pixel gray value of each pixel point of the second picture, and determining the image characteristics of the second picture according to the average gray value and the pixel gray value;
and taking the image characteristics of the second picture as the image characteristics of the image data.
The first picture is obtained by performing image processing on a corresponding image region in the video data, where the image processing may be at least one of image compression, image denoising, and the like. In this embodiment, image processing is taken as an example of image size compression, and the size of a first picture obtained by image processing video data is smaller than the size of an image area of the video data. The image area of the image data is compressed and then the feature extraction is carried out, so that the complexity of feature extraction of the image is reduced, and the feature extraction efficiency is improved.
Assuming that the size of the to-be-identified region is 1500 pixels by 1500 pixels, the target size of the first picture can be uniformly set to 160 pixels by 160 pixels. It will be appreciated that the target size for the first picture may be set as desired.
After a first picture is acquired according to corresponding image data, color attribute information of the first picture is acquired, and a picture conversion mode of the first picture is matched according to the color attribute information, if the first picture is an RGB picture, the first picture conversion mode is provided for the first picture so as to convert the first picture into a second picture in a preset format, and if the first picture is a black and white picture, the second picture conversion mode is provided for the first picture so as to convert the first picture into the second picture in the preset format. The first picture and the second picture have different picture attributes, that is, at least one of the color attribute, the size, or the storage space size of the first picture and the second picture is different.
After the first picture is converted into the second picture, the average gray value of the second picture and the pixel gray value of each pixel point of the second picture are obtained, the image characteristic of the second picture is determined according to the average gray value and the pixel gray value, and the image characteristic of the second picture is used as the image area characteristic of the image data.
In some embodiments, the identifying the image region of the image data to obtain the first picture comprises:
identifying a picture area in the image data and dividing the picture area to obtain a picture to be processed;
acquiring a storage space of the picture to be processed;
when the storage space of the picture to be processed is smaller than or equal to a preset value, compressing the picture to be processed to obtain the first picture;
when the storage space of the picture to be processed is larger than the preset value, the picture to be processed is cut into a plurality of sub-pictures, and the plurality of sub-pictures are compressed to obtain the first picture.
Specifically, image data is input into a preset image processing convolutional neural network, an image area of the image data is identified, wherein the image area only comprises an image unit and does not comprise a character unit or a blank unit, and the image area determined by the image processing convolutional neural network identification is extracted to obtain a to-be-processed image. The effect of extracting the to-be-identified area based on the preset image processing convolutional neural network is good, and the process of determining the edge of the image unit is more accurate and quicker.
When the image area is identified, the Convolutional Neural network R-CNN (Region-conditional Neural Networks) can be adopted by the picture processing Convolutional Neural network. The method comprises the steps of setting a plurality of extraction frames in image data based on a convolutional neural network R-CNN, extracting features in a region corresponding to each extraction frame, classifying images according to the extracted features, inhibiting non-maximum values, correcting the accurate positions and edges of the extraction frames through a bounding box regression model to obtain accurate extraction frames, wherein the regions of the extraction frames are picture regions, and extracting according to the extraction frames to obtain a picture to be processed.
The picture-based storage space directly affects the operation memory occupied by the server of the data management platform for compressing the picture and the complexity of extracting the features of the picture. The larger the storage space of the picture is, the larger the operation memory of the server is occupied in the process of compressing the picture, and meanwhile, when the features of the picture are extracted, the larger the storage space of the picture is, the higher the complexity is, and the larger the operation memory is occupied. Therefore, when the storage space of the picture is too large, a large amount of running memory of the server is occupied to compress the picture.
After detecting the image attribute information of the area to be identified, judging whether the required storage space exceeds a preset value or not when the image is stored according to the image attribute information. It can be understood that the preset value is used for judging whether the slice compression processing is required in the picture compression process.
When the storage space of the picture in the identification area is smaller than or equal to the preset value, the picture can be directly compressed to obtain the first picture.
When the storage space of the picture in the area to be identified is larger than the preset value, the picture needs to be firstly cut into a plurality of sub-pictures, then the plurality of sub-pictures are compressed to obtain a plurality of target fragments, and then the plurality of target fragments are spliced to obtain the first picture, so that the phenomenon that a single compression process occupies too much server operation memory is avoided.
It is understood that the preset value can be set according to the configuration of the computer and the application scenario.
For example, a preset value is set to be 5MB, and if the storage space of the picture a is 2MB, that is, the storage space of the picture a is smaller than the preset value, the picture can be directly compressed, and the first picture with the target size is obtained. Assuming that the storage space of the picture B is 8MB, that is, the storage space of the picture B is greater than the preset value, the picture of the area to be identified needs to be cut into a plurality of sub-pictures, then the sub-pictures are compressed respectively to obtain a plurality of target fragments, and then the target fragments are spliced to obtain a first picture with the target size.
The target picture is obtained by respectively compressing the pictures in the area to be identified after the pictures are cut, so that the occupation of the server on the memory resource of the server in the picture compression process can be reduced, and the problem of insufficient server performance caused in the compression process is solved.
Step S3: and performing segmentation processing on the image data to segment each image data into at least two image data pieces.
The image data is the vital image data in the medical image file, the data volume occupied by the image data is large, if the image data is encrypted, the storage efficiency of the whole image file is low, therefore, each image data is split into at least two image data pieces, the data leakage risk can be effectively reduced, even if part of the image data pieces are leaked, the whole image file is not leaked, the storage safety of the image file is improved, meanwhile, after the data is sliced, the size of each image data piece is smaller than that of a source file, and the data encryption efficiency can be improved. The dividing process of the image data may be to divide each image data into data pieces with a preset size, or to randomly divide each image data into at least two data pieces, which is not limited herein.
As shown in fig. 2, when the image data 10 is divided, the image data 10 is divided into A, B, C, D four areas uniformly, each area forms one image data piece, and the image data 10 is divided into four image data pieces of uniform size.
As shown in fig. 3, when the image data 10 is divided, the image data 10 is randomly divided into A, B, C, D four areas, each area forms one image data piece, and the image data 10 is divided into four image data pieces having different sizes.
Step S4: the method comprises the steps of obtaining storage space information and node position information of each data storage node, and screening out corresponding metadata storage nodes and image data storage nodes from each data storage node according to the storage space information and the node position information.
The data storage node may be a removable electronic device with a location function, or a server, which is not limited herein. The storage space information of the data storage node is used for representing the data information, the used storage space information, the residual storage space information and the like stored in the current data storage node, and the node position information is used for representing the position of the current data storage node. The distance between the current data storage node and the server of the platform is obtained through the node position information, so that the corresponding data can be preferentially transmitted to the data storage node which is close in distance and has enough storage space.
In some embodiments, the screening out the corresponding metadata storage node and the corresponding image data storage node from each data storage node according to the storage space information and the node location information includes:
marking the data storage nodes with the storage space larger than a storage space threshold value and the distance from the data storage nodes to the server larger than a preset distance value as metadata storage nodes;
and marking the data storage nodes with the storage space larger than the storage space threshold and the distance from the data storage nodes to the server smaller than or equal to a preset distance value as image data storage nodes.
For example, when data storage is performed, it is necessary to ensure that the storage space of the corresponding data storage node is greater than a storage space threshold, and the storage space threshold may be set as needed. For example, the data storage nodes which know that the current storage space meets the requirement according to the storage space information include a storage node No. 1, a storage node No. 2, a storage node No. 3, a storage node No. 4, and a storage node No. 5. Based on the fact that the storage space required by the image data piece is large, the data storage nodes with the storage space larger than the storage space threshold value and the distance from the data storage nodes to the server larger than the preset distance value are marked as metadata storage nodes; and marking the data storage nodes with the storage space larger than the storage space threshold and the distance from the data storage nodes to the server smaller than or equal to the preset distance value as image data storage nodes.
For example, it is known from the node location information that the distances between the storage node No. 1, the storage node No. 3, and the storage node No. 5 and the server of the data management platform are less than or equal to a preset distance value, and then the storage node No. 1, the storage node No. 3, and the storage node No. 5 are marked as image data storage nodes. And marking the storage node No. 2 and the storage node No. 4 as metadata storage nodes.
Step S5: and encrypting the metadata and transmitting the encrypted metadata to the metadata storage node.
Step S6: and encrypting the image data pieces, and transmitting the encrypted image data pieces to the image data storage nodes, wherein at least two image data pieces corresponding to the same medical image file are stored in at least two image data storage nodes.
And encrypting the metadata, transmitting the encrypted metadata to a metadata storage node, simultaneously encrypting the image data pieces, and transmitting the encrypted image data pieces to the image data storage node, wherein at least two image data pieces corresponding to the same medical image file are stored in the at least two image data storage nodes. The metadata and the image data pieces decomposed from each medical image file are encrypted by a preset encryption algorithm, the corresponding metadata and the corresponding image data pieces are transmitted to each data storage node for storage according to the distribution information of the data storage nodes, and at least two image data pieces corresponding to the same medical image file are stored in at least two different data storage nodes during data storage, so that the data pieces of the same medical image file are at least stored in two corresponding different data storage nodes, and the data storage safety is improved. In the embodiment of the present application, the encryption method of the data may be any one of an MD5 encryption algorithm, a CRC32 encryption algorithm, and a DES encryption algorithm, which is not limited herein.
The metadata and the image data pieces are encrypted and stored respectively, so that the data storage safety is higher.
Step S7: and recording the storage path of the metadata and the image data sheet corresponding to each medical image file, and recording the decryption verification data of the metadata and the image data sheet corresponding to each medical image file.
Step S8: and constructing an index database of the medical image file according to the storage path, the decryption verification data, the first characteristic information and the second characteristic information.
After the metadata and the image data sheet corresponding to the medical image file are encrypted, the encrypted verification data for decrypting the corresponding metadata and the storage path of the metadata data are recorded, and meanwhile, the encrypted verification data for decrypting the corresponding image data sheet and the storage path of the image data sheet are recorded. And according to the first characteristic information and the second characteristic information corresponding to each medical image file, the metadata corresponding to the medical image file and the decryption verification data and the storage path of the image data sheet, so as to form an index database for information retrieval, and the corresponding medical image file can be accurately queried through the index database. In this embodiment, the metadata of the same medical image file and the decryption verification data of the same image data piece are taken as an example for description. The storage path, the decryption verification data, the first characteristic information, and the second characteristic information may be recorded using the following table.
Table one:
step S9: when a data downloading request sent by a user terminal is received, target file data corresponding to a target medical image file matched with the data downloading request is obtained according to the data downloading request and the index database, and the target file data is sent to the user terminal.
When a user needs to download a corresponding medical image file, the medical image file requirement corresponding to the medical image file needing to be downloaded can be input on a relevant interface of the user terminal through the user terminal, and after the user confirms the requirements of the related medical image files, the user terminal generates a corresponding file downloading request according to the requirements of the medical image files input by the user, the file downloading request is sent to a server, the server analyzes the file downloading request sent by the user terminal so as to obtain the target file characteristics of the target medical image file required to be downloaded by the user, searching target file data corresponding to the target medical image file with the target file feature matching degree exceeding a preset value from an index database according to the target file feature, and sending the target file data to the user terminal, therefore, the user terminal can acquire the corresponding target medical image file according to the target file data.
In some embodiments, the obtaining target file data corresponding to the target medical image file matched with the data download request from the database according to the data download request and sending the target file data to the user terminal includes:
acquiring target file characteristics corresponding to the target medical image file according to the data downloading request;
determining target decryption verification data, target metadata and target image data corresponding to the target medical image file according to the target file characteristics;
acquiring node information of each data storage node corresponding to the target metadata and the target image data;
sending a data acquisition instruction to each data storage node according to the node information so as to acquire the corresponding target metadata and target image data;
and sending the target metadata, the target image data and the target decryption verification data corresponding to the target medical image file to the user terminal.
Illustratively, after receiving a data downloading request, a server analyzes the file downloading request sent by a user terminal, so as to obtain target file characteristics of a target medical image file required to be downloaded by the user, searches target file data information corresponding to the target medical image file with the target file characteristic matching degree exceeding a preset value from an index database according to the target file characteristics, and then determines target decryption verification data, target metadata and target image data corresponding to the target medical image file according to the target file data information.
And then, acquiring node information of each data storage node corresponding to the storage target metadata and the target image data, and sending a data acquisition instruction to each data storage node according to the node information, so that each data storage node responds to the data acquisition instruction to send the corresponding target metadata and the corresponding target image data to the server. And the server sends the target metadata, the target image data and the target decryption verification data corresponding to the target medical image file to the user terminal.
For example, when a user needs to acquire a medical image file a, a download request for downloading the medical image file a is sent to the server through the user terminal, the server searches the target metadata and the target image data storage location corresponding to the medical image file a and the corresponding decryption check data from the index database after receiving the download request of the medical image file a, acquires the metadata and the image data of the medical image file a from the corresponding data storage node, and then sends the metadata, the image data and the decryption check data of the medical image file a to the user terminal.
In some embodiments, the node information includes node location information, and sending a data obtaining instruction to each data storage node according to the node information to obtain the corresponding target metadata and target image data, including:
when a plurality of data storage nodes store the same target metadata or target image data pieces corresponding to the target metadata or the target image data, screening the data storage nodes with the distance between the data storage nodes and the server meeting the preset requirement according to the node position information, and sending data acquisition instructions to the screened data storage nodes to acquire the corresponding target metadata and the corresponding target image data.
Illustratively, when a plurality of data storage nodes store the same target metadata or target image data pieces corresponding to the target image data, in order to save data transmission time, the data storage nodes with the distance between the data storage nodes and the server smaller than a preset distance value are screened according to the node position information, and a data acquisition instruction is sent to the screened data storage nodes to acquire the corresponding target metadata and the corresponding target image data.
Referring to fig. 4, fig. 4 is a medical image management apparatus 10 according to an embodiment of the present disclosure, which includes an image receiving module 101, a feature extraction module 102, a data segmentation module 103, a node assignment module 104, a first transmission module 105, a second transmission module 106, a data recording module 107, an index construction module 108, and a file sending module 109.
The image receiving module 101 is configured to receive a medical image file transmitted by a terminal device, and decompose the medical image file to obtain metadata and image data of the medical image file.
The feature extraction module 102 is configured to extract first feature information corresponding to the medical image file according to the image data, and extract second feature information corresponding to the medical image file according to the metadata.
A data dividing module 103, configured to perform a dividing process on the image data to divide each image data into at least two image data slices.
The node allocation module 104 is configured to acquire storage space information and node position information of each data storage node, and screen out a corresponding metadata storage node and an image data storage node from each data storage node according to the storage space information and the node position information.
A first transmission module 105, configured to encrypt the metadata and transmit the encrypted metadata to the metadata storage node;
the second transmission module 106 is configured to encrypt the image data pieces and transmit the encrypted image data pieces to the image data storage nodes, where at least two image data pieces corresponding to the same medical image file are stored in at least two image data storage nodes;
a data recording module 107, configured to record the metadata corresponding to each medical image file and a storage path of the image data slice, and record decryption verification data of the metadata and the image data slice corresponding to each medical image file;
an index construction module 108, configured to construct an index database of the medical image file according to the storage path, the decryption verification data, the first feature information, and the second feature information;
the file sending module 109 is configured to, when receiving a data download request sent by a user terminal, obtain target file data corresponding to a target medical image file matched with the data download request according to the data download request and the index database, and send the target file data to the user terminal.
In some embodiments, the feature extraction module 102, when extracting the first feature information corresponding to the medical image file according to the image data, includes:
identifying an image area corresponding to the image data, and extracting image characteristics of the image area;
identifying character information corresponding to the image data, and extracting corresponding character features according to the character information;
and constructing the first characteristic information according to the image characteristics and the character characteristics.
In some embodiments, the feature extraction module 102, when identifying an image region corresponding to the video data and extracting an image feature of the image region, includes:
identifying an image area of the image data to obtain a first picture;
acquiring color attribute information of the first picture, matching a picture conversion mode of the first picture according to the color attribute information, and converting the first picture into a second picture according to the picture conversion mode, wherein the picture attributes of the first picture and the second picture are different;
acquiring the average gray value of the second picture and the pixel gray value of each pixel point of the second picture, and determining the image characteristics of the second picture according to the average gray value and the pixel gray value;
and taking the image characteristics of the second picture as the image characteristics of the image data.
In some embodiments, the feature extraction module 102, when identifying the image region of the video data to obtain the first picture, includes:
identifying a picture area in the image data and dividing the picture area to obtain a picture to be processed;
acquiring a storage space of the picture to be processed;
when the storage space of the picture to be processed is smaller than or equal to a preset value, compressing the picture to be processed to obtain the first picture;
when the storage space of the picture to be processed is larger than the preset value, the picture to be processed is cut into a plurality of sub-pictures, and the plurality of sub-pictures are compressed to obtain the first picture.
In some embodiments, when the node allocation module 104 filters out the corresponding metadata storage node and the corresponding image data storage node from each of the data storage nodes according to the storage space information and the node location information, the node allocation module includes:
marking the data storage nodes with the storage space larger than a storage space threshold value and the distance from the data storage nodes to the server larger than a preset distance value as metadata storage nodes;
and marking the data storage nodes with the storage space larger than the storage space threshold and the distance from the data storage nodes to the server smaller than or equal to a preset distance value as image data storage nodes.
In some embodiments, the file sending module 109, in obtaining target file data corresponding to a target medical image file matched with the data download request from the database according to the data download request, and sending the target file data to the user terminal, includes:
acquiring target file characteristics corresponding to the target medical image file according to the data downloading request;
determining target decryption verification data, target metadata and target image data corresponding to the target medical image file according to the target file characteristics;
acquiring node information of each data storage node corresponding to the target metadata and the target image data;
sending a data acquisition instruction to each data storage node according to the node information so as to acquire the corresponding target metadata and target image data;
and sending the target metadata, the target image data and the target decryption verification data corresponding to the target medical image file to the user terminal.
In some embodiments, the node information includes node location information, and when sending a data obtaining instruction to each data storage node according to the node information to obtain the corresponding target metadata and target image data, the file sending module 109 includes:
when a plurality of data storage nodes store the same target metadata or target image data pieces corresponding to the target metadata or the target image data, screening the data storage nodes with the distance between the data storage nodes and the server meeting the preset requirement according to the node position information, and sending data acquisition instructions to the screened data storage nodes to acquire the corresponding target metadata and the corresponding target image data.
Referring to fig. 5, fig. 5 is a schematic block diagram of a structure of an electronic device according to an embodiment of the present disclosure.
As shown in fig. 5, the electronic device 300 comprises a processor 301 and a memory 302, the processor 301 and the memory 302 being connected by a bus 303, such as an I2C (Inter-integrated Circuit) bus.
In particular, processor 301 is configured to provide computational and control capabilities, supporting the operation of the entire server. The Processor 301 may be a Central Processing Unit (CPU), and the Processor 301 may also be other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. Wherein a general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
Specifically, the Memory 302 may be a Flash chip, a Read-Only Memory (ROM) magnetic disk, an optical disk, a usb disk, or a removable hard disk.
Those skilled in the art will appreciate that the structure shown in fig. 5 is a block diagram of only a portion of the structure related to the embodiments of the present application, and does not constitute a limitation on the electronic device to which the embodiments of the present application are applied, and a specific electronic device may include more or less components than those shown in the drawings, or may combine some components, or have a different arrangement of components.
The processor 301 is configured to run a computer program stored in the memory, and when executing the computer program, implement any one of the medical image management methods provided in the embodiments of the present application.
In some embodiments, the processor 301 is configured to run a computer program stored in the memory and to implement the following steps when executing the computer program:
receiving a medical image file transmitted by terminal equipment, and decomposing the medical image file to obtain metadata and image data of the medical image file;
extracting first characteristic information corresponding to the medical image file according to the image data, and extracting second characteristic information corresponding to the medical image file according to the metadata;
performing segmentation processing on the image data to segment each image data into at least two image data pieces;
acquiring storage space information and node position information of each data storage node, and screening out corresponding metadata storage nodes and image data storage nodes from each data storage node according to the storage space information and the node position information;
encrypting the metadata and transmitting the encrypted metadata to the metadata storage node;
encrypting the image data pieces and transmitting the encrypted image data pieces to the image data storage nodes, wherein at least two image data pieces corresponding to the same medical image file are stored in at least two image data storage nodes;
recording the storage path of the metadata and the image data sheet corresponding to each medical image file, and recording the decryption verification data of the metadata and the image data sheet corresponding to each medical image file;
constructing an index database of the medical image file according to the storage path, the decryption verification data, the first characteristic information and the second characteristic information;
when a data downloading request sent by a user terminal is received, target file data corresponding to a target medical image file matched with the data downloading request is obtained according to the data downloading request and the index database, and the target file data is sent to the user terminal.
In some embodiments, the processor 301, when extracting the first feature information corresponding to the medical image file according to the image data, includes:
identifying an image area corresponding to the image data, and extracting image characteristics of the image area;
identifying character information corresponding to the image data, and extracting corresponding character features according to the character information;
and constructing the first characteristic information according to the image characteristics and the character characteristics.
In some embodiments, when identifying an image region corresponding to the image data and extracting an image feature of the image region, the processor 301 includes:
identifying an image area of the image data to obtain a first picture;
acquiring color attribute information of the first picture, matching a picture conversion mode of the first picture according to the color attribute information, and converting the first picture into a second picture according to the picture conversion mode, wherein the picture attributes of the first picture and the second picture are different;
acquiring the average gray value of the second picture and the pixel gray value of each pixel point of the second picture, and determining the image characteristics of the second picture according to the average gray value and the pixel gray value;
and taking the image characteristics of the second picture as the image characteristics of the image data.
In some embodiments, the processor 301, in identifying the image area of the image data to obtain the first picture, includes:
identifying a picture area in the image data and dividing the picture area to obtain a picture to be processed;
acquiring a picture storage space of the picture to be processed;
when the storage space of the picture to be processed is smaller than or equal to a preset value, compressing the picture to be processed to obtain the first picture;
when the storage space of the picture to be processed is larger than the preset value, the picture to be processed is cut into a plurality of sub-pictures, and the plurality of sub-pictures are compressed to obtain the first picture.
In some embodiments, when the processor 301 filters out the corresponding metadata storage node and the corresponding image data storage node from each of the data storage nodes according to the storage space information and the node location information, the processor includes:
marking the data storage nodes with the storage space larger than a storage space threshold value and the distance from the data storage nodes to the server larger than a preset distance value as metadata storage nodes;
and marking the data storage nodes with the storage space larger than the storage space threshold and the distance from the data storage nodes to the server smaller than or equal to a preset distance value as image data storage nodes.
In some embodiments, the processor 301, in acquiring, according to the data download request, target file data corresponding to a target medical image file matched with the data download request from the database, and sending the target file data to the user terminal, includes:
acquiring target file characteristics corresponding to the target medical image file according to the data downloading request;
determining target decryption verification data, target metadata and target image data corresponding to the target medical image file according to the target file characteristics;
acquiring node information of each data storage node corresponding to the target metadata and the target image data;
sending a data acquisition instruction to each data storage node according to the node information so as to acquire the corresponding target metadata and target image data;
and sending the target metadata, the target image data and the target decryption verification data corresponding to the target medical image file to the user terminal.
In some embodiments, the node information includes node location information, and the processor 301, in sending a data obtaining instruction to each data storage node according to the node information to obtain the corresponding target metadata and target image data, includes:
when a plurality of data storage nodes store the same target metadata or target image data pieces corresponding to the target metadata or the target image data, screening the data storage nodes with the distance between the data storage nodes and the server meeting the preset requirement according to the node position information, and sending data acquisition instructions to the screened data storage nodes to acquire the corresponding target metadata and the corresponding target image data.
It should be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working process of the electronic device described above may refer to the corresponding process in the foregoing embodiment of the medical image management method, and details are not described herein again.
The embodiment of the present application further provides a storage medium for a computer readable storage, where the storage medium stores one or more programs, and the one or more programs are executable by one or more processors to implement the steps of any one of the medical image management methods provided in the embodiments of the present application.
The storage medium may be an internal storage unit of the electronic device of the foregoing embodiment, for example, a hard disk or a memory of the electronic device. The storage medium may also be an external storage device of the electronic device, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, provided on the electronic device.
It will be understood by those of ordinary skill in the art that all or some of the steps of the methods, systems, functional modules/units in the devices disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof. In a hardware embodiment, the division between functional modules/units mentioned in the above description does not necessarily correspond to the division of physical components; for example, one physical component may have multiple functions, or one function or step may be performed by several physical components in cooperation. Some or all of the physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on computer readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). The term computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data, as is well known to those of ordinary skill in the art. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, Digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can accessed by a computer. In addition, communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media as known to those skilled in the art.
It should be understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items. It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments. While the invention has been described with reference to specific embodiments, it will be understood by those skilled in the art that 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. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A method for managing medical images, the method comprising:
receiving a medical image file transmitted by terminal equipment, and decomposing the medical image file to obtain metadata and image data of the medical image file;
extracting first characteristic information corresponding to the medical image file according to the image data, and extracting second characteristic information corresponding to the medical image file according to the metadata;
performing segmentation processing on the image data to segment each image data into at least two image data pieces;
acquiring storage space information and node position information of each data storage node, and screening out corresponding metadata storage nodes and image data storage nodes from each data storage node according to the storage space information and the node position information;
encrypting the metadata and transmitting the encrypted metadata to the metadata storage node;
encrypting the image data pieces and transmitting the encrypted image data pieces to the image data storage nodes, wherein at least two image data pieces corresponding to the same medical image file are stored in at least two image data storage nodes;
recording the storage path of the metadata and the image data sheet corresponding to each medical image file, and recording the decryption verification data of the metadata and the image data sheet corresponding to each medical image file;
constructing an index database of the medical image file according to the storage path, the decryption verification data, the first characteristic information and the second characteristic information;
when a data downloading request sent by a user terminal is received, target file data corresponding to a target medical image file matched with the data downloading request is obtained according to the data downloading request and the index database, and the target file data is sent to the user terminal.
2. The method as claimed in claim 1, wherein said extracting first feature information corresponding to the medical image file from the image data comprises:
identifying an image area corresponding to the image data, and extracting image characteristics of the image area;
identifying character information corresponding to the image data, and extracting corresponding character features according to the character information;
and constructing the first characteristic information according to the image characteristics and the character characteristics.
3. The method of claim 2, wherein the identifying the image region corresponding to the image data and extracting the image feature of the image region comprises:
identifying an image area of the image data to obtain a first picture;
acquiring color attribute information of the first picture, matching a picture conversion mode of the first picture according to the color attribute information, and converting the first picture into a second picture according to the picture conversion mode, wherein the picture attributes of the first picture and the second picture are different;
acquiring the average gray value of the second picture and the pixel gray value of each pixel point of the second picture, and determining the image characteristics of the second picture according to the average gray value and the pixel gray value;
and taking the image characteristics of the second picture as the image characteristics of the image data.
4. The method of claim 3, wherein identifying the image region of the image data to obtain the first picture comprises:
identifying a picture area in the image data and dividing the picture area to obtain a picture to be processed;
acquiring a picture storage space of the picture to be processed;
when the storage space of the picture to be processed is smaller than or equal to a preset value, compressing the picture to be processed to obtain the first picture;
when the storage space of the picture to be processed is larger than the preset value, the picture to be processed is cut into a plurality of sub-pictures, and the plurality of sub-pictures are compressed to obtain the first picture.
5. The method of claim 1, wherein the screening out corresponding metadata storage nodes and image data storage nodes from each data storage node according to the storage space information and the node location information comprises:
marking the data storage nodes with the storage space larger than a storage space threshold value and the distance from the data storage nodes to the server larger than a preset distance value as metadata storage nodes;
and marking the data storage nodes with the storage space larger than the storage space threshold and the distance from the data storage nodes to the server smaller than or equal to a preset distance value as image data storage nodes.
6. The method according to claim 1, wherein the obtaining, according to the data download request, target file data corresponding to a target medical image file matched with the data download request from the database and sending the target file data to the user terminal includes:
acquiring target file characteristics corresponding to the target medical image file according to the data downloading request;
determining target decryption verification data, target metadata and target image data corresponding to the target medical image file according to the target file characteristics;
acquiring node information of each data storage node corresponding to the target metadata and the target image data;
sending a data acquisition instruction to each data storage node according to the node information so as to acquire the corresponding target metadata and target image data;
and sending the target metadata, the target image data and the target decryption verification data corresponding to the target medical image file to the user terminal.
7. The method of claim 6, wherein the node information includes node location information, and the sending data retrieving instructions to each of the data storage nodes according to the node information to retrieve the corresponding target metadata and target image data comprises:
when a plurality of data storage nodes store the same target metadata or target image data pieces corresponding to the target metadata or the target image data, screening the data storage nodes with the distance between the data storage nodes and the server meeting the preset requirement according to the node position information, and sending data acquisition instructions to the screened data storage nodes to acquire the corresponding target metadata and the corresponding target image data.
8. A medical image management apparatus, comprising:
the image receiving module is used for receiving the medical image file transmitted by the terminal equipment and decomposing the medical image file to obtain metadata and image data of the medical image file;
the feature extraction module is used for extracting first feature information corresponding to the medical image file according to the image data and extracting second feature information corresponding to the medical image file according to the metadata;
the data segmentation module is used for carrying out segmentation processing on the image data so as to segment each image data into at least two image data pieces;
the node distribution module is used for acquiring storage space information and node position information of each data storage node, and screening out corresponding metadata storage nodes and image data storage nodes from each data storage node according to the storage space information and the node position information;
the first transmission module is used for encrypting the metadata and transmitting the encrypted metadata to the metadata storage node;
the second transmission module is used for encrypting the image data pieces and transmitting the encrypted image data pieces to the image data storage nodes, wherein at least two image data pieces corresponding to the same medical image file are stored in at least two image data storage nodes;
the data recording module is used for recording the metadata corresponding to each medical image file and the storage path of the image data sheet, and recording the decryption verification data of the metadata corresponding to each medical image file and the image data sheet;
the index construction module is used for constructing an index database of the medical image file according to the storage path, the decryption verification data, the first characteristic information and the second characteristic information;
and the file sending module is used for acquiring target file data corresponding to a target medical image file matched with the data downloading request according to the data downloading request and the index database when receiving the data downloading request sent by the user terminal, and sending the target file data to the user terminal.
9. An electronic device, characterized in that the electronic device comprises a processor, a memory, a computer program stored on the memory and executable by the processor, and a data bus for enabling a connection communication between the processor and the memory, wherein the computer program, when executed by the processor, implements the steps of the management method according to any of claims 1 to 7.
10. A storage medium for computer readable storage, characterized in that the storage medium stores one or more programs which are executable by one or more processors to implement the steps of the management method of any one of claims 1 to 7.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114997843A (en) * | 2022-08-03 | 2022-09-02 | 清华大学苏州汽车研究院（吴江） | Enterprise operation management information storage system |
| CN115291812A (en) * | 2022-09-30 | 2022-11-04 | 北京紫光青藤微系统有限公司 | Data storage method and device of communication chip |
| CN116501904A (en) * | 2023-06-28 | 2023-07-28 | 中国人民解放军总医院 | Distributed storage method, device, equipment and medium |
| CN116910828A (en) * | 2023-09-13 | 2023-10-20 | 合肥工业大学 | Intelligent medical picture information security processing method and system |
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- 2021-10-21 CN CN202111229460.8A patent/CN113946851A/en active Pending
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114997843A (en) * | 2022-08-03 | 2022-09-02 | 清华大学苏州汽车研究院（吴江） | Enterprise operation management information storage system |
| CN115291812A (en) * | 2022-09-30 | 2022-11-04 | 北京紫光青藤微系统有限公司 | Data storage method and device of communication chip |
| CN116501904A (en) * | 2023-06-28 | 2023-07-28 | 中国人民解放军总医院 | Distributed storage method, device, equipment and medium |
| CN116501904B (en) * | 2023-06-28 | 2023-09-22 | 中国人民解放军总医院 | Distributed storage method, device, equipment and medium |
| CN116910828A (en) * | 2023-09-13 | 2023-10-20 | 合肥工业大学 | Intelligent medical picture information security processing method and system |
| CN116910828B (en) * | 2023-09-13 | 2023-12-19 | 合肥工业大学 | Intelligent medical picture information security processing method and system |
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