CN114067964A - Medical image data processing method and device, computer equipment and storage medium - Google Patents
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Abstract
The application relates to a medical image data processing method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring medical image data to be processed; the medical image data comprises at least one of medical images, medical sound records and medical video records; acquiring metadata of the medical image data according to the medical image data; and obtaining a storage path of the medical image data according to the evaluation result of the metadata, and storing the medical image data according to the storage path. By adopting the method, the storage efficiency of the medical image data to be processed can be improved.
Description
Technical Field
The present application relates to the field of medical imaging technologies, and in particular, to a method and an apparatus for processing medical imaging data, a computer device, and a storage medium.
Background
With the development of medical imaging technology, unstructured data (for example, data such as images, audio recordings, video recordings, etc. generated by systems such as ultrasound endoscope pathology, etc.) in medical image data is increasing, and it is particularly important for the acquired medical image data to be effectively stored in medical diagnosis.
Conventionally, the medical image data is stored in the server by uploading the inspection image to a designated server location through FTP (File Transfer Protocol), however, when the inspection image is large, the FTP uploading consumes high reading cost for the network and the server disk.
Therefore, the conventional method for storing medical image data has the problem of low efficiency.
Disclosure of Invention
In view of the above, it is desirable to provide a method, an apparatus, a computer device, and a storage medium for processing medical image data, which can improve the storage efficiency of the medical image data.
A method of processing medical image data, the method comprising:
acquiring medical image data to be processed; the medical image data comprises at least one of medical images, medical sound records and medical video records;
acquiring metadata of the medical image data according to the medical image data;
and obtaining a storage path of the medical image data according to the evaluation result of the metadata, and storing the medical image data according to the storage path.
In one embodiment, the obtaining metadata of the medical image data according to the medical image data includes:
acquiring marking information of the medical image data input by a user; the marking information of the medical image data input by the user comprises the marking information of the medical image data input by the user at a local end and/or an interactive end; the interaction terminal is a terminal interacting with the local terminal;
and determining the marking information as the metadata of the medical image data.
In one embodiment, the obtaining metadata of the medical image data according to the medical image data includes:
analyzing and processing the medical image data to obtain the metadata; the analysis processing includes at least one of image level analysis processing, lesion point analysis processing, and lesion level analysis processing.
In one embodiment, the obtaining a storage path of the medical image data according to the evaluation result of the metadata includes:
acquiring an accessibility index of a target server; the target server is a server for storing the medical image data;
obtaining an image access index according to the evaluation result of the metadata and a preset access index algorithm;
and obtaining a storage path of the medical image data according to the accessible index and the image access index.
In one embodiment, the obtaining an image access index according to the evaluation result of the metadata and a preset access index algorithm includes:
acquiring a parameter index value according to the evaluation result of the metadata;
and obtaining the image access index according to the parameter index value and the access index algorithm.
In one embodiment, the obtaining a storage path of the medical image data according to the accessibility index and the image access index includes:
and obtaining a storage path of the medical image data according to the accessibility index, the image access index and an activity arrangement algorithm of a greedy algorithm.
In one embodiment, the method further comprises:
receiving a backup instruction;
according to the backup instruction, a structured database backup strategy is adopted to perform backup processing on the metadata;
and according to the backup instruction, performing backup processing on the medical image data by adopting a network attached storage NAS backup mode.
In one embodiment, the method further comprises:
adopting a preset database to create a metadata information table; the metadata information table comprises the generation time of the medical image data, the priority of the medical image data, whether the medical image data is a key image, the number of image cancer core points of the medical image data, the image part of the medical image data and the storage path of the medical image data;
and storing the metadata in the metadata information table in a structured storage mode.
An apparatus for processing medical image data, the apparatus comprising:
the first acquisition module is used for acquiring medical image data to be processed; the medical image data comprises at least one of medical images, medical sound records and medical video records;
the second acquisition module is used for acquiring metadata of the medical image data according to the medical image data;
and the first storage module is used for obtaining a storage path of the medical image data according to the evaluation result of the metadata and storing the medical image data according to the storage path.
A computer device comprising a memory and a processor, the memory storing a computer program, the processor implementing the following steps when executing the computer program:
acquiring medical image data to be processed; the medical image data comprises at least one of medical images, medical sound records and medical video records;
acquiring metadata of the medical image data according to the medical image data;
and obtaining a storage path of the medical image data according to the evaluation result of the metadata, and storing the medical image data according to the storage path.
A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:
acquiring medical image data to be processed; the medical image data comprises at least one of medical images, medical sound records and medical video records;
acquiring metadata of the medical image data according to the medical image data;
and obtaining a storage path of the medical image data according to the evaluation result of the metadata, and storing the medical image data according to the storage path.
According to the medical image data processing method, the medical image data processing device, the computer equipment and the storage medium, the metadata of the medical image data to be processed can be obtained according to the medical image data to be processed, so that the storage path of the medical image data can be quickly obtained according to the evaluation result of the metadata of the medical image data to be processed, the medical image data to be processed can be quickly stored according to the storage path of the medical image data, and the storage efficiency of the medical image data to be processed is improved.
Drawings
FIG. 1 is a diagram of an exemplary medical imaging data processing method;
FIG. 2 is a flow diagram illustrating a method for processing medical image data according to one embodiment;
FIG. 3 is a flow chart illustrating a method for processing medical image data according to another embodiment;
FIG. 4 is a flowchart illustrating a method for processing medical image data according to another embodiment;
FIG. 5 is a flowchart illustrating a method for processing medical image data according to another embodiment;
fig. 6 is a block diagram of a medical image data processing apparatus according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The method for processing medical image data provided by the embodiment of the application can be applied to computer equipment shown in fig. 1. The computer device comprises a processor and a memory connected by a system bus, wherein a computer program is stored in the memory, and the steps of the method embodiments described below can be executed when the processor executes the computer program. Optionally, the computer device may further comprise a network interface, a display screen and an input device. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a nonvolatile storage medium storing an operating system and a computer program, and an internal memory. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the computer device is used for communicating with an external terminal through a network connection. Optionally, the computer device may be a server, a personal computer, a personal digital assistant, other terminal devices such as a tablet computer, a mobile phone, and the like, or a cloud or a remote server, and the specific form of the computer device is not limited in the embodiment of the present application.
In one embodiment, as shown in fig. 2, a method for processing medical image data is provided, which is described by taking the method as an example applied to the computer device in fig. 1, and includes the following steps:
s201, acquiring medical image data to be processed; the medical image data includes at least one of medical images, medical sound recordings, and medical video recordings.
The medical image data to be processed may be at least one of a medical image, a medical audio record, and a medical video record, for example, the medical image data to be processed may be data such as an image, an audio record, and a video record generated by a system such as an ultrasound endoscope pathology system. Optionally, the computer device may acquire the medical image data to be processed in real time from a medical imaging device, or may acquire the medical image data to be processed from a PACS (Picture Archiving and Communication Systems) server. Optionally, the medical image data to be processed may be structured medical image data or unstructured medical image data. Alternatively, the computer device may process each piece of medical image data in the medical image data to be processed as a unit.
S202, acquiring metadata of the medical image data according to the medical image data.
The computer device may divide the medical image data to be processed into metadata according to a plurality of dimensions, such as examination type, examination time, applicant, image level, and the like, where the metadata in the embodiment of the present application is each piece of medical image data to be examined. Optionally, in this embodiment, the computer device may obtain the metadata of the medical image data according to the mark of the medical image data to be processed, or the computer device may also divide the medical image data to be processed according to the division dimension to obtain the metadata of the medical image data. Optionally, the metadata of the acquired medical image data may be an examination part corresponding to the medical image data, whether the medical image data is a key image, the acquisition time corresponding to the medical image data, the upload time corresponding to the medical image data, and the like.
And S203, obtaining a storage path of the medical image data according to the evaluation result of the metadata, and storing the medical image data according to the storage path.
Specifically, the medical image data may be distributed on different magnetic disk media of different nodes, and the computer device may obtain a storage path of the medical image data according to an evaluation result of the metadata of the medical image data, and further, the computer device may store the medical image data to be processed according to the determined storage path of the medical image data, and store the medical image data to be processed on different magnetic disk media of different nodes. Optionally, the computer device may obtain a storage path parameter of the medical image data according to an evaluation result of the metadata of the medical image data, and determine the storage path of the medical image data according to the storage path parameter of the medical image data.
According to the medical image data processing method, the computer equipment can acquire the metadata of the medical image data to be processed according to the medical image data to be processed, so that the storage path of the medical image data can be quickly obtained according to the evaluation result of the metadata of the medical image data to be processed, the medical image data to be processed can be quickly stored according to the storage path of the medical image data, and the storage efficiency of the medical image data to be processed is improved.
Further, in an embodiment, the computer device may determine the annotation information of the medical image data to be processed as the metadata of the medical image data, on the basis of the above embodiment, as shown in fig. 3, the above S202 includes:
s301, acquiring marking information of medical image data input by a user; the marking information of the medical image data input by the user comprises the marking information of the medical image data input by the user at the local end and/or the interactive end; the interactive end is a terminal interacting with the local end.
The labeling information of the medical image data may include labeling information such as a schematic diagram mark (which point on the schematic diagram corresponds to the medical image data is marked) of the medical image data, information of the examination part, whether the medical image data is a key image, acquisition time, uploading time, doctor processing confirmation time, acquisition doctor, processing doctor, serial id, sopinntanceuid, image data format, and the like. Optionally, the computer device may obtain the label information of the medical image data to be processed from the label information of the medical image data input by the user at the local end, or may obtain the label information of the medical image data to be processed from the label information of the medical image data input by the user at the interactive end, where the interactive end is a terminal interacting with the local end. Optionally, the interaction terminal may be a medical imaging device or a workstation, etc.
S302, the annotation information is determined as metadata of the medical image data.
Specifically, the computer device determines the labeling information of the medical image data input by the user, which is acquired from the local end and/or the interactive end, as the metadata of the medical image data to be processed. Optionally, in the case of acquiring metadata of medical image data to be processed, the computer device may further create a metadata information table by using a preset database, and store the acquired metadata in the metadata information table in a structured storage manner, where the metadata information table may include at least one of generation time of the medical image data, priority of the medical image data, whether the medical image data is a key image, number of core points of image cancer of the medical image data, image location of the medical image data, and storage path of the medical image data. Optionally, the preset database may be an Oracle database. Optionally, in a scenario that the computer device needs to read the stored medical image data, the computer device may query the metadata information table according to the generation time of the medical image data to be read, find the time corresponding to the medical image data to be read so as to determine the storage location of the medical image data to be read, and thus read the medical image data to be read according to the storage location.
In this embodiment, the process of acquiring the label information of the medical image data input by the user at the local end and/or the interactive end by the computer device is relatively simple, and the label information of the medical image data input by the user can be quickly obtained, so that the label information can be quickly determined as the metadata of the medical image data to be processed, and the efficiency of determining the metadata of the medical image data is improved.
Further, in an embodiment, the computer device may perform analysis processing on the medical image data to be processed to determine metadata of the medical image data, and on the basis of the above embodiment, the step S202 includes: analyzing and processing the medical image data to obtain metadata; the analysis processing includes at least one of image level analysis processing, lesion point analysis processing, and lesion level analysis processing.
The image grade analysis processing can analyze the reference part, the negative and positive of the medical image data to be processed to obtain the effective grade of the medical image data to be processed; the disease point analysis processing can be realized by comparing different images of the same examination, calculating effective core images, distinguishing effective areas of images of different disease points, performing core grade division on image data, identifying repeated images according to the repetition degree, using images, representative images and key core images in a correlation and combination manner, and determining the disease point of medical image data to be processed; the lesion level analysis process may calculate original metadata such as Dicom measurement data, calculate lesion regions (e.g., lesion cancer regions), and generate new metadata tags such as lesion levels for subsequent review analysis. That is, in this embodiment, the computer device may perform analysis processing on the medical image data to be processed by using at least one of image level analysis processing, lesion site analysis processing, and lesion level analysis processing, so as to obtain metadata of the medical image data to be processed. Similarly, in this embodiment, in the case of acquiring the metadata of the medical image data to be processed, the computer device may further create a metadata information table by using a preset database, and store the acquired metadata in the metadata information table in a structured storage manner, where the metadata information table may include at least one of a generation time of the medical image data, a priority of the medical image data, whether the medical image data is a key image, a number of image cancer core points of the medical image data, an image part of the medical image data, a storage path of the medical image data, and the like. Optionally, the preset database may be an Oracle database.
In this embodiment, the computer device performs at least one of image level analysis processing, lesion site analysis processing, and lesion level analysis processing on the medical image data to be processed, and can quickly obtain the metadata of the medical image data to be processed, thereby improving the efficiency of obtaining the metadata of the medical image data to be processed.
In a scenario where the computer device obtains the storage path of the medical image data to be processed according to the evaluation result of the metadata, the computer device may obtain the storage path of the medical image data to be processed by calculating the storage parameter of the medical image data to be processed, and in an embodiment, as shown in fig. 4, the "obtaining the storage path of the medical image data according to the evaluation result of the metadata" in S203 includes:
s401, acquiring an accessible index of a target server; the target server is a server for storing medical image data.
The target server is a server for storing medical image data to be processed, the accessibility index of the target server may include related information such as setting and performance of the target server, the setting information of the target server may include parameter information such as a predicted usage space, a location, an access manner, an access level, and the like, and the performance information of the target server may include parameter information such as access efficiency, an available space, a network condition, and the like of the target server. Optionally, the computer device may monitor the operating state of the target server to obtain the accessibility index of the target server.
S402, obtaining an image access index according to the evaluation result of the metadata and a preset access index algorithm.
The preset access index algorithm may be a greedy algorithm, for example, the preset access index algorithm may be Dijkstra algorithm of the greedy algorithm. Optionally, the computer device may obtain a parameter index value according to the evaluation result of the metadata, and obtain an image access index according to the parameter index value and the preset access index algorithm; wherein, the higher the parameter index value is, the higher the usability is. For example, the computer device may first obtain a parameter index value according to the evaluation result of the metadata, and the process of obtaining the image access index according to the parameter index value and Dijkstra algorithm may include: taking the metadata parameter index as an array set dis, and initializing a vertex set T as follows: t ═ v1, and initially, the path weight of the origin s is given 0(dis [ s ] ═ 0). If there is a directly reachable edge (s, m) for vertex s, dis [ m ] is set to w (s, m), and the path lengths of all other vertices (where s cannot be directly reached) are set to infinity. Initially, the set T has only vertices s. Then, selecting the minimum value from the dis array, and then the value is the shortest path from the source point s to the vertex corresponding to the value, and adding the point into T, completing a vertex, and then, needing to see whether the newly added vertex can reach other vertices and whether the path length reaching other points through the vertex is shorter than the path length directly reaching the source point, if so, replacing the values of the vertices in dis, then finding the minimum value from the dis again, and repeating the above actions until T contains all the vertices of the graph. Thereby calculating the image access index.
And S403, obtaining a storage path of the medical image data according to the accessibility index and the image access index.
Specifically, after obtaining the accessible index and the image access index of the target server, the computer device calculates the accessible index and the image access index of the target server to obtain the storage path of the medical image data to be processed. Optionally, the computer device may obtain the storage path of the medical image data to be processed according to the accessibility index of the target server, the image access index, and an activity arrangement algorithm of a greedy algorithm. Optionally, the computer device may take all the medical image data of the peer image access index at the time point as an active set E, take the storage space of each image as an internal occupied resource, and calculate a storage occupation start point and an end point (equivalent to a position on a magnetic disk) of the image data by using a greedy selector method, thereby finally calculating a storage path of the medical image data.
In this embodiment, the computer device can accurately obtain the image access index according to the evaluation result of the metadata of the medical image data to be processed and the preset access index algorithm, so that the storage path of the medical image data to be processed can be accurately obtained according to the obtained access index of the target server and the image access index, and the accuracy of obtaining the storage path of the medical image data to be processed is improved.
In some scenarios, the computer device further needs to perform backup processing on the medical image data to be processed and the metadata of the medical image data to be processed, and on the basis of the foregoing embodiment, in an embodiment, as shown in fig. 5, the method further includes:
s501, receiving a backup instruction.
The backup instruction may be a backup instruction input by a user. Optionally, the backup instruction may be any one of a differential backup instruction, a disaster recovery backup instruction, a regular backup instruction, and a daily export backup instruction. Optionally, the computer device may receive the backup instruction according to a preset time interval, or may receive the backup instruction in real time.
And S502, according to the backup instruction, adopting a structured database backup strategy to perform backup processing on the metadata.
Specifically, the backup instruction includes performing backup processing on metadata of the medical image data to be processed, and also includes performing backup processing on the medical image data to be processed, and the computer device may perform backup processing on the metadata of the medical image data to be processed by using a structured database backup policy according to the backup instruction when receiving the backup instruction.
And S503, according to the backup instruction, performing backup processing on the medical image data by adopting a network attached storage NAS backup mode.
Specifically, the computer device, when receiving the backup instruction, adopts an NAS (Network Attached Storage) backup mode, that is, an NAS system, to backup the medical image data to be processed. Optionally, the backup processing performed on the medical image data to be processed may also include any one of differential backup processing, disaster recovery backup processing, conventional backup processing, and daily export backup processing.
In this embodiment, the computer device can perform backup processing on the metadata of the medical image data to be processed by using a structured database backup strategy according to the received backup instruction, can perform backup processing on the medical image data to be processed by using an NAS backup mode according to the received backup instruction, and performs multi-dimensional backup optimization on the medical image data to be processed and the metadata of the medical image data to be processed, thereby ensuring the storage security of the medical image data to be processed and the metadata of the medical image data to be processed.
It should be understood that although the various steps in the flowcharts of fig. 2-5 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 2-5 may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed in turn or alternately with other steps or at least some of the other steps or stages.
In one embodiment, as shown in fig. 6, there is provided a medical image data processing apparatus including: the device comprises a first acquisition module, a second acquisition module and a first storage module, wherein:
the first acquisition module is used for acquiring medical image data to be processed; the medical image data comprises at least one of medical images, medical sound records and medical video records;
the second acquisition module is used for acquiring metadata of the medical image data according to the medical image data;
and the first storage module is used for obtaining a storage path of the medical image data according to the evaluation result of the metadata and storing the medical image data according to the storage path.
The processing apparatus for medical image data provided in this embodiment may execute the method embodiments described above, and the implementation principle and the technical effect are similar, which are not described herein again.
On the basis of the foregoing embodiment, optionally, the second obtaining module includes: a first acquisition unit and a determination unit, wherein:
the first acquisition unit is used for acquiring the labeling information of the medical image data input by a user; the marking information of the medical image data input by the user comprises the marking information of the medical image data input by the user at the local end and/or the interactive end; the interactive end is a terminal interacting with the local end.
And the determining unit is used for determining the marking information as the metadata of the medical image data.
The processing apparatus for medical image data provided in this embodiment may execute the method embodiments described above, and the implementation principle and the technical effect are similar, which are not described herein again.
On the basis of the foregoing embodiment, optionally, the second obtaining module includes: a second acquisition unit, wherein:
the second acquisition unit is used for analyzing and processing the medical image data to obtain metadata; the analysis processing includes at least one of image level analysis processing, lesion point analysis processing, and lesion level analysis processing.
The processing apparatus for medical image data provided in this embodiment may execute the method embodiments described above, and the implementation principle and the technical effect are similar, which are not described herein again.
On the basis of the foregoing embodiment, optionally, the first storage module includes: a third acquisition unit, a fourth acquisition unit, and a fifth acquisition unit, wherein:
a third obtaining unit configured to obtain an accessibility index of the target server; the target server is a server for storing medical image data.
And the fourth acquisition unit is used for obtaining the image access index according to the evaluation result of the metadata and a preset access index algorithm.
And the fifth acquisition unit is used for obtaining a storage path of the medical image data according to the accessibility index and the image access index.
The processing apparatus for medical image data provided in this embodiment may execute the method embodiments described above, and the implementation principle and the technical effect are similar, which are not described herein again.
On the basis of the foregoing embodiment, optionally, the fourth obtaining unit is configured to obtain a parameter index value according to an evaluation result of the metadata; and obtaining the image access index according to the parameter index value and the access index algorithm.
The processing apparatus for medical image data provided in this embodiment may execute the method embodiments described above, and the implementation principle and the technical effect are similar, which are not described herein again.
On the basis of the foregoing embodiment, optionally, the fifth obtaining unit is configured to obtain a storage path of the medical image data according to the accessibility index, the image access index, and an activity scheduling algorithm of a greedy algorithm.
The processing apparatus for medical image data provided in this embodiment may execute the method embodiments described above, and the implementation principle and the technical effect are similar, which are not described herein again.
On the basis of the foregoing embodiment, optionally, the apparatus further includes: receiving module, first backup module and second backup module, wherein:
and the receiving module is used for receiving the backup instruction.
And the first backup module is used for performing backup processing on the metadata by adopting a structured database backup strategy according to the backup instruction.
And the second backup module is used for performing backup processing on the medical image data by adopting a network attached storage NAS backup mode according to the backup instruction.
The processing apparatus for medical image data provided in this embodiment may execute the method embodiments described above, and the implementation principle and the technical effect are similar, which are not described herein again.
On the basis of the foregoing embodiment, optionally, the apparatus further includes: a creation module and a second storage module, wherein:
the creating module is used for creating a metadata information table by adopting a preset database; the metadata information table includes at least one of a generation time of the medical image data, a priority of the medical image data, whether the medical image data is a key image, a number of points of an image cancer core point of the medical image data, an image portion of the medical image data, and a storage path of the medical image data.
And the second storage module is used for storing the metadata in the metadata information table in a structured storage mode.
The processing apparatus for medical image data provided in this embodiment may execute the method embodiments described above, and the implementation principle and the technical effect are similar, which are not described herein again.
For specific limitations of the processing apparatus for medical image data, reference may be made to the above limitations of the processing method for medical image data, which are not described herein again. All or part of the modules in the medical image data processing device can be realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program:
acquiring medical image data to be processed; the medical image data comprises at least one of medical images, medical sound records and medical video records;
acquiring metadata of the medical image data according to the medical image data;
and obtaining a storage path of the medical image data according to the evaluation result of the metadata, and storing the medical image data according to the storage path.
The implementation principle and technical effect of the computer device provided by the above embodiment are similar to those of the above method embodiment, and are not described herein again.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
acquiring medical image data to be processed; the medical image data comprises at least one of medical images, medical sound records and medical video records;
acquiring metadata of the medical image data according to the medical image data;
and obtaining a storage path of the medical image data according to the evaluation result of the metadata, and storing the medical image data according to the storage path.
The implementation principle and technical effect of the computer-readable storage medium provided by the above embodiments are similar to those of the above method embodiments, and are not described herein again.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A method for processing medical image data, the method comprising:
acquiring medical image data to be processed; the medical image data comprises at least one of medical images, medical sound records and medical video records;
acquiring metadata of the medical image data according to the medical image data;
and obtaining a storage path of the medical image data according to the evaluation result of the metadata, and storing the medical image data according to the storage path.
2. The method according to claim 1, wherein said obtaining metadata of said medical image data based on said medical image data comprises:
acquiring marking information of the medical image data input by a user; the marking information of the medical image data input by the user comprises the marking information of the medical image data input by the user at a local end and/or an interactive end; the interaction terminal is a terminal interacting with the local terminal;
and determining the marking information as the metadata of the medical image data.
3. The method according to claim 1, wherein said obtaining metadata of said medical image data based on said medical image data comprises:
analyzing and processing the medical image data to obtain the metadata; the analysis processing includes at least one of image level analysis processing, lesion point analysis processing, and lesion level analysis processing.
4. The method according to claim 2 or 3, wherein the obtaining of the storage path of the medical image data according to the evaluation result of the metadata comprises:
acquiring an accessibility index of a target server; the target server is a server for storing the medical image data;
obtaining an image access index according to the evaluation result of the metadata and a preset access index algorithm;
and obtaining a storage path of the medical image data according to the accessible index and the image access index.
5. The method according to claim 4, wherein the obtaining the image access index according to the evaluation result of the metadata and a preset access index algorithm comprises:
acquiring a parameter index value according to the evaluation result of the metadata;
and obtaining the image access index according to the parameter index value and the access index algorithm.
6. The method of claim 5, wherein obtaining the storage path of the medical image data according to the accessibility index and the image access index comprises:
and obtaining a storage path of the medical image data according to the accessibility index, the image access index and an activity arrangement algorithm of a greedy algorithm.
7. The method of claim 1, further comprising:
receiving a backup instruction;
according to the backup instruction, a structured database backup strategy is adopted to perform backup processing on the metadata;
and according to the backup instruction, performing backup processing on the medical image data by adopting a network attached storage NAS backup mode.
8. An apparatus for processing medical image data, the apparatus comprising:
the first acquisition module is used for acquiring medical image data to be processed; the medical image data comprises at least one of medical images, medical sound records and medical video records;
the second acquisition module is used for acquiring metadata of the medical image data according to the medical image data;
and the first storage module is used for obtaining a storage path of the medical image data according to the evaluation result of the metadata and storing the medical image data according to the storage path.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.
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