CN110349654B - Image processing method, device, storage medium and computer equipment - Google Patents
Image processing method, device, storage medium and computer equipment Download PDFInfo
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- CN110349654B CN110349654B CN201910469623.6A CN201910469623A CN110349654B CN 110349654 B CN110349654 B CN 110349654B CN 201910469623 A CN201910469623 A CN 201910469623A CN 110349654 B CN110349654 B CN 110349654B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H30/00—ICT specially adapted for the handling or processing of medical images
- G16H30/20—ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H80/00—ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
Abstract
The application discloses an image processing method, an image processing device, a storage medium and computer equipment using big data, which relate to the technical field of information and mainly aim at realizing remote pathological diagnosis without maintenance of a special person, and the pathological tissue specimens are called and stored, so that the labor cost consumed by the pathological diagnosis can be saved, mutual interference can be avoided, and the analysis accuracy of the pathological tissue specimens is prevented from being influenced. The method comprises the following steps: collecting images of different pathological tissue specimens corresponding to different patients, and obtaining identification information of different patients; establishing corresponding relations between identification information of different patients and images of different pathological tissue specimens and storing the corresponding relations in a preset image database; when an image query request sent by a client is received, searching a pathological tissue specimen image of the target patient from a preset image database according to the identification information of the target patient carried by the image query request, and feeding back the pathological tissue specimen image of the target patient to the client. The application is suitable for processing images.
Description
Technical Field
The present application relates to the field of information technologies, and in particular, to an image processing method, an image processing device, a storage medium, and a computer device.
Background
In recent years, in order to facilitate pathological diagnosis by doctors, tissue cells of patients are generally processed into pathological tissue specimens, that is, tissue cells are stored in glass slice specimens, and then the doctor observes the condition of the tissue cells in the glass slice under a microscope to confirm the type of disease. However, the glass slice specimen has high requirements on the storage environment, and the pathological diagnosis in the mode requires special people to maintain the pathological tissue specimen, and the pathological tissue specimen is called up and stored, so that a great deal of labor cost is wasted. In addition, to pathological tissue specimens, a plurality of doctors need to watch the real object display result of one pathological tissue specimen, and by the mode, the pathological tissue specimens are displayed, and the plurality of doctors need to intensively gather under a microscope to watch, so that the doctors can mutually interfere, and the analysis accuracy of the pathological tissue specimens is affected.
Disclosure of Invention
The application provides an image processing method, an image processing device, a storage medium and computer equipment, which mainly aim to realize remote pathological diagnosis without maintenance, retrieval and storage of pathological tissue specimens, so that the labor cost consumed by the pathological diagnosis can be saved, mutual interference can be avoided, and the analysis accuracy of the pathological tissue specimens is prevented from being influenced.
According to a first aspect of the present application, there is provided an image processing method comprising:
collecting different pathological tissue specimen images corresponding to different patients, and obtaining identification information of the different patients;
establishing a corresponding relation between the identification information of different patients and the different pathological tissue specimen images, and storing the identification information of different patients, the different pathological tissue specimen images and the corresponding relation into a preset image database;
when a pathological tissue specimen image query request sent by a client is received, searching a pathological tissue specimen image of a target patient from the preset image database according to identification information of the target patient carried by the query request, and feeding back the pathological tissue specimen image of the target patient to the client.
According to a second aspect of the present application, there is provided an image processing apparatus comprising:
the acquisition unit is used for acquiring different pathological tissue specimen images corresponding to different patients and acquiring identification information of the different patients;
the establishing unit is used for establishing the corresponding relation between the identification information of different patients and the different pathological tissue specimen images;
the storage unit is used for storing the identification information of different patients, the different pathological tissue specimen images and the corresponding relations into a preset image database;
the searching unit is used for searching the pathological tissue specimen image of the target patient from the preset image database according to the identification information of the target patient carried by the inquiry request when the pathological tissue specimen image inquiry request sent by the client is received;
and the sending unit is used for feeding back the pathological tissue specimen image of the target patient to the client.
According to a third aspect of the present application, there is provided a storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of:
collecting different pathological tissue specimen images corresponding to different patients, and obtaining identification information of the different patients;
establishing a corresponding relation between the identification information of different patients and the different pathological tissue specimen images, and storing the identification information of different patients, the different pathological tissue specimen images and the corresponding relation into a preset image database;
when a pathological tissue specimen image query request sent by a client is received, searching a pathological tissue specimen image of a target patient from the preset image database according to identification information of the target patient carried by the query request, and feeding back the pathological tissue specimen image of the target patient to the client.
According to a fourth aspect of the present application there is provided a computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of:
collecting different pathological tissue specimen images corresponding to different patients, and obtaining identification information of the different patients;
establishing a corresponding relation between the identification information of different patients and the different pathological tissue specimen images, and storing the identification information of different patients, the different pathological tissue specimen images and the corresponding relation into a preset image database;
when a pathological tissue specimen image query request sent by a client is received, searching a pathological tissue specimen image of a target patient from the preset image database according to identification information of the target patient carried by the query request, and feeding back the pathological tissue specimen image of the target patient to the client.
Compared with the method, the device, the storage medium and the computer equipment for processing the images, which are provided by the application, for determining the disease type by observing the tissue cell condition in the glass slice under a microscope by a doctor, the method can acquire images of different pathological tissue specimens corresponding to different patients and acquire the identification information of the different patients; establishing corresponding relations between the identification information of different patients and the different pathological tissue specimen images, and storing the identification information of different patients, the different pathological tissue specimen images and the corresponding relations into a preset image database. Meanwhile, a pathological tissue specimen image query request sent by a client can be received, the pathological tissue specimen image of the target patient is searched from the preset image database according to the identification information of the target patient carried by the query request, and the pathological tissue specimen image of the target patient is fed back to the client, so that remote diagnosis of pathology through the client can be realized, special persons are not required to maintain, and pathological tissue specimens are called and stored, further labor cost consumed by pathological diagnosis can be saved, and analysis accuracy of the pathological tissue specimens is not required to be ensured.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute a limitation on the application. In the drawings:
fig. 1 is a schematic flow chart of an image processing method according to an embodiment of the present application;
fig. 2 is a schematic flow chart of another image processing method according to an embodiment of the present application;
fig. 3 is a schematic diagram of an image processing system according to an embodiment of the present application;
fig. 4 is a schematic flow chart of another image processing method according to an embodiment of the present application;
fig. 5 is a schematic diagram showing the structure of an image processing apparatus according to an embodiment of the present application;
fig. 6 is a schematic diagram showing the structure of another image processing apparatus according to the embodiment of the present application;
fig. 7 shows a schematic physical structure of a computer device according to an embodiment of the present application.
Detailed Description
The application will be described in detail hereinafter with reference to the drawings in conjunction with embodiments. It should be noted that, without conflict, the embodiments of the present application and features of the embodiments may be combined with each other.
As background art, at present, tissue cells of a patient are usually processed into pathological tissue specimens, i.e., tissue cells are stored in glass slice specimens, and then the doctor observes the condition of tissue cells in the glass slice under a microscope to confirm the disease type. However, the glass slice specimen has high requirements on the storage environment, and the pathological diagnosis in the mode requires special people to maintain the pathological tissue specimen, and the pathological tissue specimen is called up and stored, so that a great deal of labor cost is wasted. In addition, to pathological tissue specimens, a plurality of doctors need to watch the real object display result of one pathological tissue specimen, and by the mode, the pathological tissue specimens are displayed, and the plurality of doctors need to intensively gather under a microscope to watch, so that the doctors can mutually interfere, and the analysis accuracy of the pathological tissue specimens is affected.
In order to solve the above-mentioned problems, an embodiment of the present application provides an image processing method, as shown in fig. 1, which can be applied to a server, the method including:
101. and acquiring images of different pathological tissue specimens corresponding to different patients, and acquiring identification information of the different patients.
The pathological tissue specimen images of different pathologies can be obtained by scanning the pathological tissue specimens of different pathologies, and the pathological tissue specimens can be glass sections with tissue cells. Specifically, different pathological tissue specimen images can be obtained through scanning of the pathological scanner, the identification information of different patients can be the identification codes of different patients and can be used for uniquely identifying the patients, and the identification information of different patients can be obtained from a hospital information system.
102. Establishing corresponding relations between the identification information of different patients and the different pathological tissue specimen images, and storing the identification information of different patients, the different pathological tissue specimen images and the corresponding relations into a preset image database.
It should be noted that the preset image database may be a database of a medical image archiving and communication system (Picture archiving and communication systems, PACS), and the pathological tissue specimen image of the patient may be systematically managed through the PACS database. The execution subject server of the embodiment of the application may be a PACS server, which may store the information related to the step 102 into the data instance of the PACS database, so as to improve the system compatibility, and may store the information related to the step 102 through a data transfer interface supported by the PACS.
103. When a pathological tissue specimen image query request sent by a client is received, searching a pathological tissue specimen image of a target patient from the preset image database according to identification information of the target patient carried by the query request, and feeding back the pathological tissue specimen image of the target patient to the client.
The client may be a digital pathology browser or a digital pathology application, and the embodiment of the present application is not limited herein. When a user inputs identification information of a target patient at the client and clicks a query button, the client sends a query request to the server, and the client can support the functions of zooming and moving pathological tissue specimen images and can also support the standard functions of the pathological tissue specimen images.
Compared with the method for processing the image, which is provided by the embodiment of the application, when a doctor is required to observe the condition of tissue cells in a glass slice under a microscope to confirm the type of a disease, the method can acquire images of different pathological tissue specimens corresponding to different patients and acquire identification information of the different patients; establishing corresponding relations between the identification information of different patients and the different pathological tissue specimen images, and storing the identification information of different patients, the different pathological tissue specimen images and the corresponding relations into a preset image database. Meanwhile, a pathological tissue specimen image query request sent by a client can be received, the pathological tissue specimen image of the target patient is searched from the preset image database according to the identification information of the target patient carried by the query request, and the pathological tissue specimen image of the target patient is fed back to the client, so that remote diagnosis of pathology through the client can be realized, special persons are not required to maintain, and the pathological tissue specimen is called and stored, further, the labor cost consumed by pathological diagnosis can be saved, and the analysis accuracy of the pathological tissue specimen can be ensured.
Further, in order to better explain the above image processing procedure, as a refinement and extension to the above embodiment, an embodiment of the present application provides another image processing method, as shown in fig. 2, where the method includes:
201. and scanning different pathological tissue specimens corresponding to the different patients by using a pathological scanner to obtain images of the different pathological tissue specimens, and acquiring identification information of the different patients.
For the embodiment of the application, because the image files scanned by the pathology scanner are very large, in order to reduce the requirements of a display screen, a computer memory and a network bandwidth and improve the transmission and display efficiency of images of different pathology tissue specimens, the server can receive the different pathology tissue specimens collected by the pathology scanner through a traditional network protocol, can perform compression processing after receiving the different pathology tissue specimens, and then stores the pathology tissue specimens after the compression processing into a preset database.
202. And detecting whether the formats corresponding to the different pathological tissue specimen images are preset standard medical file formats or not. If not, go to step 203.
The preset standard medical file format may be a digital imaging and communications in medicine (Digital Imaging and Communications in Medicine, DICOM) file format, and DICOM may be an international standard for transferring, storing, printing, processing and displaying medical image information. Not only is the data format of the medical image defined, but also how the medical image is transmitted over a network between systems. DICOM data formats include various video format files, including no video format files. DICOM network transport protocols may include traditional network protocols as well as network protocols newly added in 2014.
203. And respectively packaging the images of the different pathological tissue specimens by using a network protocol corresponding to the preset standard medical file format.
The network protocol corresponding to the preset standard medical file format may be a DICOM network protocol. Specifically, the DICOM network protocol can be utilized to package different pathological tissue specimen images into digital pathological images without image formats, the digital pathological images can ensure that the tissue specimens are displayed in high resolution through packaging, and the requirements on a display screen, a computer memory and network bandwidth can be further reduced.
204. Establishing a corresponding relation between the identification information of different patients and the packaged different pathological tissue specimen images, and storing the identification information of different patients, the packaged different pathological tissue specimen images and the corresponding relation into a preset image database.
205. When a pathological tissue specimen image query request sent by a client is received, searching a pathological tissue specimen image of a target patient from the preset image database according to identification information of the target patient carried by the query request, and feeding back the pathological tissue specimen image of the target patient to the client.
It should be noted that, when the client is a digital pathology browser, the user may open a web page of the digital pathology browser, input identification information of the target patient in the web page to initiate a query request, so that the server queries, in order to enhance compatibility of the system, may receive the query request sent by the digital pathology browser by using a newly added transfer interface of DICOM standard, and send the queried pathology tissue specimen image to the digital pathology browser.
For the embodiment of the application, in order to further improve the transmission and display efficiency of the pathological tissue specimen image, the method further comprises the following steps: when a tile block image query request sent by the client is received, searching a tile block image of which the target image is under the resolution and corresponds to the image position from the preset image database according to the identification information, the resolution and the image position of the target image carried by the tile block image query request, and feeding back the tile block image to the client. The client may send a tile image query request to the server after detecting a trigger event of "invoke tile". In order to enhance the compatibility of the system, the server may receive a tile image query request sent by the digital pathology browser by using a newly added transfer interface of the DICOM standard, and send the queried tile image to the digital pathology browser.
In order to acquire the tile image, the method further includes: performing tile block processing on the different pathological tissue specimen images by using a preset asynchronous tile block algorithm to obtain each tile block image of the different pathological tissue specimen images under different resolutions, wherein the different tile block images correspond to different image positions; establishing a first corresponding relation between the identification information of the different pathological tissue specimen images and each tile block image under different resolutions; and storing the identification information of the different pathological tissue specimen images, the tile block images under different resolutions and the first corresponding relation into the preset image database. The server may also be compatible with images of different formats, for example, may be compatible with a tag image file format (Tag Image File Format, TIFF) format, a joint image experts group (JointPhotographic Experts Group, JPEG) format, etc., and may be compressed using a lossless compression algorithm for the scanned original pathological tissue specimen image and a lossy compression algorithm for the low resolution tiles when performing image compression. Specifically, when image compression is performed, a JPEG2000 lossless compression algorithm can be used for the scanned original pathological tissue sample image, and a JPEG2000 lossy compression algorithm can be used for the low-resolution tile.
In addition, the server can store original pathological tissue specimen images into examples of preset file characteristic values, each example can store images in a multi-frame preset format, each frame of image can be used for storing each tile image, under the condition of corresponding to different resolutions, each pathological tissue specimen image under each resolution can independently generate and file an example, and specific resolutions can be stored in table elements corresponding to the examples. The preset file characteristic value may specifically be a characteristic value of "Image Type (0008) -ORIGINAL/PRIMARY/VOLUME", and the predetermined format may be a JPEG format or TIFF format.
In a specific application scenario, the step of performing tile block processing on the different pathological tissue specimen images by using a preset asynchronous tile block algorithm to obtain each tile block image of the different pathological tissue specimen images under different resolutions may specifically include: respectively converting the different pathological tissue specimen images into different pathological tissue specimen images with different resolutions according to the different resolutions; and decomposing the images of the different pathological tissue specimens under different resolutions according to different image positions to obtain the images of the tile blocks of the images of the different pathological tissue specimens under different resolutions.
Further, in order to facilitate diagnosis by a reader, the pathological tissue specimen image can be marked by the client, and correspondingly, in order to facilitate other readers to view marking results, the method further comprises: and receiving the marked pathological tissue sample image sent by the client, wherein the marked pathological tissue sample image is generated according to marking information and the pathological tissue sample image of the target patient. Specifically, a reader can label a pathological tissue specimen image through texts and various graphs, and after receiving labeling information aiming at the pathological tissue specimen image, a client can generate a labeled pathological tissue specimen image according to the labeling information and the pathological tissue specimen image and send the labeled pathological tissue specimen image to a server, so that other readers can request the labeled pathological tissue specimen image. In a specific application scene, the marked pathological tissue specimen image can be a DICOM file of PR type, and specifically can save the quoted original pathological tissue specimen image, so that doctors in other film reading workstations can restore the mark conveniently. The noted pathology tissue specimen image may be sent by the client invoking a file interface of the server.
In order to better understand the embodiment of the present application, the following application scenarios are further provided, including: as shown in fig. 3 and 4, the image processing system provided in fig. 3 includes a pathology scanner, a server, and a client. In fig. 4, a pathological tissue sample image may be acquired by using a pathological scanner, and if the acquired pathological tissue sample image is not in DICOM format, the pathological tissue sample image is converted into a pathological tissue sample image in DICOM format. And then compressing the pathological tissue sample image in the DICOM format according to the image compression parameters compatible with the server, and storing the compressed medical image to a PACS server, wherein the PACS server can also asynchronously generate tile block images of the pathological tissue sample image. When the client initiates an image query request, the server queries the pathological tissue sample image according to the query condition and sends the pathological tissue sample image to the client for rendering and displaying. Specifically, when triggering can call corresponding tile blocks according to the size, the position and the resolution of the display area of the client and feed the tile blocks back to the client. After receiving the tile block pictures, the client can execute the step of displaying pathological tissue specimen pictures, take out pixel data from the corresponding tile blocks, and render pixels in blocks in the display area. Because the pathological tissue specimen picture is relatively large in size, a reader needs to move the picture position or zoom in and out of the picture to adjust the optimal observation position, and when the pathological tissue specimen picture is zoomed or moved, the image position and the resolution can be changed, so that the client can automatically trigger a tile image query request carrying the changed image position and resolution to acquire and display the tile image again.
Compared with the method for processing the image, which is provided by the embodiment of the application, in which a doctor is required to observe the condition of tissue cells in a glass slice under a microscope to confirm the type of a disease, the method can acquire images of different pathological tissue specimens corresponding to different patients and acquire identification information of the different patients; establishing corresponding relations between the identification information of different patients and the different pathological tissue specimen images, and storing the identification information of different patients, the different pathological tissue specimen images and the corresponding relations into a preset image database. Meanwhile, a pathological tissue specimen image query request sent by a client can be received, the pathological tissue specimen image of the target patient is searched from the preset image database according to the identification information of the target patient carried by the query request, and the pathological tissue specimen image of the target patient is fed back to the client, so that remote diagnosis of pathology through the client can be realized, special persons are not required to maintain, and the pathological tissue specimen is called and stored, further, the labor cost consumed by pathological diagnosis can be saved, and the analysis accuracy of the pathological tissue specimen can be ensured.
Further, as a specific implementation of fig. 1, an embodiment of the present application provides an image processing apparatus, as shown in fig. 5, including: the system comprises an acquisition unit 31, a building unit 32, a storage unit 33, a search unit 34 and a sending unit 35.
The collection unit 31 may be configured to collect images of different pathological tissue specimens corresponding to different patients, and obtain identification information of the different patients. The collection unit 31 is a main functional module of the main functional module for collecting images of different pathological tissue specimens corresponding to different patients in the device and obtaining identification information of the different patients.
The establishing unit 32 may be configured to establish correspondence between the identification information of the different patients and the different pathological tissue specimen images. The establishing unit 32 is a main functional module in the present apparatus for establishing correspondence between the identification information of the different patients and the images of the different pathological tissue specimens.
The storage unit 33 may be configured to store the identification information of the different patients, the images of the different pathological tissue specimens, and the correspondence in a preset image database. The storage unit 33 is a main functional module in the present device that stores the identification information of the different patients, the different pathological tissue specimen images, and the correspondence in a preset image database.
The searching unit 34 may be configured to, when receiving a pathological tissue specimen image query request sent by a client, search, according to identification information of a target patient carried by the query request, a pathological tissue specimen image of the target patient from the preset image database. The searching unit 34 is a main functional module, and is also a core module, of the device for searching the pathological tissue specimen image of the target patient from the preset image database according to the identification information of the target patient carried by the query request when receiving the pathological tissue specimen image query request sent by the client.
The sending unit 35 may be configured to feed back the pathological tissue specimen image of the target patient to the client. The transmitting unit 35 is a main functional module in the present apparatus for feeding back the pathological tissue specimen image of the target patient to the client.
For the embodiment of the present application, in order to improve the transmission efficiency of the pathological image, the device further supports tile image display, and the searching unit 34 may be specifically configured to, when receiving a tile image query request sent by the client, search, according to identification information, resolution and image position of a target image carried by the tile image query request, for a tile image of the target image in the resolution and corresponding to the image position from the preset image database.
Correspondingly, the sending unit 35 may be specifically configured to feed back the tile image to the client.
For the embodiment of the application, in order to obtain the tile image, the device further comprises: a processing unit 36, as shown in fig. 6.
The processing unit 36 may be configured to perform tile block processing on the different pathological tissue specimen images by using a preset asynchronous tile block algorithm, so as to obtain respective tile block images of the different pathological tissue specimen images respectively under different resolutions, where the different tile block images correspond to different image positions.
The establishing unit 32 may be further configured to establish a first correspondence between identification information of the different pathological tissue specimen images and each tile image at the different resolutions.
The storage unit 33 may further store identification information of the images of the different pathological tissue specimens, the images of the respective tiles with different resolutions, and the first correspondence in the preset image database.
In a specific application scenario, the processing unit 36 may be specifically configured to convert the different pathological tissue specimen images into different pathological tissue specimen images with different resolutions, respectively; and decomposing the different pathological tissue specimen images under different resolutions according to different image positions to obtain each tile block image of the different pathological tissue specimen images under different resolutions respectively.
The collection unit 31 may be specifically configured to scan different pathological tissue specimens corresponding to the different patients by using a pathological scanner, so as to obtain images of the different pathological tissue specimens.
For the embodiment of the application, in order to reduce the storage space occupied by the images of different pathological tissue specimens or to improve the reading speed of the images of different pathological tissue specimens, the device further comprises: a detection unit 37 and a packaging unit 38.
The detecting unit 37 may be configured to detect whether the formats corresponding to the images of the different pathological tissue specimens are preset standard medical file formats. The detection unit 37 is a main functional module in the device for detecting whether the formats corresponding to the images of the different pathological tissue specimens are preset standard medical file formats.
The packaging unit 38 may be configured to, if it is detected that the format corresponding to the different pathological tissue specimen images is not a preset standard medical file format, package the different pathological tissue specimen images respectively by using a network protocol corresponding to the preset standard medical file format.
Correspondingly, the establishing unit 32 may be specifically configured to establish a correspondence between the identification information of the different patients and the packaged images of the different pathological tissue specimens.
For the embodiment of the application, in order to facilitate diagnosis of a reader, pathological tissue specimen images can be marked by a client, and correspondingly, in order to facilitate other readers to check marking results, the device further comprises: a receiving unit 39.
The receiving unit 39 is specifically configured to receive the labeled pathological tissue specimen image sent by the client, where the labeled pathological tissue specimen image is generated according to the labeling information and the pathological tissue specimen image of the target patient.
It should be noted that, for other corresponding descriptions of each functional module related to the image processing apparatus provided in the embodiment of the present application, reference may be made to corresponding descriptions of the method shown in fig. 1, which are not repeated herein.
Based on the above method as shown in fig. 1, correspondingly, the embodiment of the present application further provides a computer readable storage medium, on which a computer program is stored, which when being executed by a processor, implements the following steps: collecting different pathological tissue specimen images corresponding to different patients, and obtaining identification information of the different patients; establishing a corresponding relation between the identification information of different patients and the different pathological tissue specimen images, and storing the identification information of different patients, the different pathological tissue specimen images and the corresponding relation into a preset image database; when a pathological tissue specimen image query request sent by a client is received, searching a pathological tissue specimen image of a target patient from the preset image database according to identification information of the target patient carried by the query request, and feeding back the pathological tissue specimen image of the target patient to the client.
Based on the embodiment of the method shown in fig. 1 and the apparatus shown in fig. 5, the embodiment of the present application further provides a physical structure diagram of a computer device, as shown in fig. 7, where the computer device includes: a processor 41, a memory 42, and a computer program stored on the memory 42 and executable on the processor, wherein the memory 42 and the processor 41 are both arranged on a bus 43, the processor 41 performing the following steps when said program is executed: collecting different pathological tissue specimen images corresponding to different patients, and obtaining identification information of the different patients; establishing a corresponding relation between the identification information of different patients and the different pathological tissue specimen images, and storing the identification information of different patients, the different pathological tissue specimen images and the corresponding relation into a preset image database; when a pathological tissue specimen image query request sent by a client is received, searching a pathological tissue specimen image of a target patient from the preset image database according to identification information of the target patient carried by the query request, and feeding back the pathological tissue specimen image of the target patient to the client. The apparatus further comprises: a bus 43 configured to couple the processor 41 and the memory 42.
By the technical scheme, the method and the device can acquire different pathological tissue specimen images corresponding to different patients and acquire the identification information of the different patients; establishing corresponding relations between the identification information of different patients and the different pathological tissue specimen images, and storing the identification information of different patients, the different pathological tissue specimen images and the corresponding relations into a preset image database. Meanwhile, a pathological tissue specimen image query request sent by a client can be received, the pathological tissue specimen image of the target patient is searched from the preset image database according to the identification information of the target patient carried by the query request, and the pathological tissue specimen image of the target patient is fed back to the client, so that remote diagnosis of pathology through the client can be realized, special persons are not required to maintain, and the pathological tissue specimen is called and stored, further, the labor cost consumed by pathological diagnosis can be saved, and the analysis accuracy of the pathological tissue specimen can be ensured.
It will be appreciated by those skilled in the art that the modules or steps of the application described above may be implemented in a general purpose computing device, they may be concentrated on a single computing device, or distributed across a network of computing devices, they may alternatively be implemented in program code executable by computing devices, so that they may be stored in a memory device for execution by computing devices, and in some cases, the steps shown or described may be performed in a different order than that shown or described, or they may be separately fabricated into individual integrated circuit modules, or multiple modules or steps within them may be fabricated into a single integrated circuit module for implementation. Thus, the present application is not limited to any specific combination of hardware and software.
The above description is only of the preferred embodiments of the present application and is not intended to limit the present application, but various modifications and variations can be made to the present application by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.
Claims (8)
1. An image processing method, comprising:
collecting different pathological tissue specimen images corresponding to different patients, and obtaining identification information of the different patients;
establishing a corresponding relation between the identification information of different patients and the different pathological tissue specimen images, and storing the identification information of different patients, the different pathological tissue specimen images and the corresponding relation into a preset image database;
when a pathological tissue specimen image query request sent by a client is received, searching a pathological tissue specimen image of a target patient from the preset image database according to identification information of the target patient carried by the query request, and feeding back the pathological tissue specimen image of the target patient to the client;
performing tile block processing on the different pathological tissue specimen images by using a preset asynchronous tile block algorithm to obtain each tile block image of the different pathological tissue specimen images under different resolutions, wherein the different tile block images correspond to different image positions;
establishing a first corresponding relation between the identification information of the different pathological tissue specimen images and each tile block image under different resolutions;
storing the identification information of the different pathological tissue specimen images, the tile block images under different resolutions and the first corresponding relation into the preset image database;
when a tile block image query request sent by the client is received, searching a tile block image of which the target image is under the resolution and corresponds to the image position from the preset image database according to the identification information, the resolution and the image position of the target image carried by the tile block image query request, and feeding back the tile block image to the client.
2. The method according to claim 1, wherein the tile processing the different pathological tissue specimen images by using a preset asynchronous tile algorithm to obtain respective tile images of the different pathological tissue specimen images at different resolutions, respectively, includes:
respectively converting the different pathological tissue specimen images into different pathological tissue specimen images with different resolutions according to the different resolutions;
and decomposing the images of the different pathological tissue specimens under different resolutions according to different image positions to obtain the images of the tile blocks of the images of the different pathological tissue specimens under different resolutions.
3. The method of claim 1, wherein the acquiring images of different pathological tissue specimens corresponding to different patients comprises:
and scanning different pathological tissue specimens corresponding to the different patients by using a pathological scanner to obtain images of the different pathological tissue specimens.
4. The method of claim 1, wherein prior to establishing correspondence between the identification information of the different patient and the different pathological tissue specimen images, the method further comprises:
detecting whether the formats corresponding to the different pathological tissue specimen images are preset standard medical file formats or not;
if not, respectively packaging the images of the different pathological tissue specimens by using a network protocol corresponding to the preset standard medical file format;
the establishing the correspondence between the identification information of the different patients and the different pathological tissue specimen images comprises the following steps:
and establishing the corresponding relation between the identification information of different patients and the packaged images of different pathological tissue specimens.
5. The method of claim 1, wherein after the feeding back the pathological tissue specimen image of the target patient to the client, the method further comprises:
and receiving the marked pathological tissue sample image sent by the client, wherein the marked pathological tissue sample image is generated according to marking information and the pathological tissue sample image of the target patient.
6. An image processing apparatus, comprising:
the acquisition unit is used for acquiring different pathological tissue specimen images corresponding to different patients and acquiring identification information of the different patients;
the establishing unit is used for establishing the corresponding relation between the identification information of different patients and the different pathological tissue specimen images;
the storage unit is used for storing the identification information of different patients, the different pathological tissue specimen images and the corresponding relations into a preset image database;
the searching unit is used for searching the pathological tissue specimen image of the target patient from the preset image database according to the identification information of the target patient carried by the inquiry request when the pathological tissue specimen image inquiry request sent by the client is received;
the sending unit is used for feeding back the pathological tissue specimen image of the target patient to the client;
the establishing unit is further configured to perform tile block processing on the different pathological tissue specimen images by using a preset asynchronous tile block algorithm, obtain each tile block image of the different pathological tissue specimen images under different resolutions, and establish a first correspondence between identification information of the different pathological tissue specimen images and each tile block image under different resolutions, where the different tile block images correspond to different image positions;
the storage unit is further configured to store identification information of the images of the different pathological tissue specimens, the images of the tile blocks under the different resolutions, and the first correspondence into the preset image database;
the searching unit is further configured to, when receiving a tile block image query request sent by the client, search a tile block image, which is carried by the tile block image query request and corresponds to the image position, of the target image under the resolution from the preset image database according to identification information, resolution and image position of the target image;
the sending unit is further configured to feed back the tile block image to the client.
7. A storage medium having stored thereon a computer program, which when executed by a processor, implements the steps of the method of any of claims 1 to 5.
8. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the computer program when executed by the processor implements the steps of the method according to any one of claims 1 to 5.
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| CN111554382B (en) * | 2020-04-30 | 2023-07-21 | 上海商汤智能科技有限公司 | Medical image processing method and device, electronic equipment and storage medium |
| CN113029639A (en) * | 2021-02-26 | 2021-06-25 | 湖南国科智瞳科技有限公司 | Pathological specimen management system and method |
| CN116403684B (en) * | 2023-06-08 | 2023-08-11 | 杭州医策科技有限公司 | Digital pathological image loading method and device |
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| CN108829815B (en) * | 2018-06-12 | 2022-06-07 | 四川希氏异构医疗科技有限公司 | Medical image screening method |
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