WO2020238059A1 - 图像处理方法、装置、存储介质及计算机设备 - Google Patents

图像处理方法、装置、存储介质及计算机设备 Download PDF

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WO2020238059A1
WO2020238059A1 PCT/CN2019/118219 CN2019118219W WO2020238059A1 WO 2020238059 A1 WO2020238059 A1 WO 2020238059A1 CN 2019118219 W CN2019118219 W CN 2019118219W WO 2020238059 A1 WO2020238059 A1 WO 2020238059A1
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image
different
pathological tissue
images
tissue specimen
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PCT/CN2019/118219
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English (en)
French (fr)
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王铭
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平安科技(深圳)有限公司
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/58Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H30/00ICT specially adapted for the handling or processing of medical images
    • G16H30/20ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H80/00ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring

Definitions

  • This application relates to the field of information technology, in particular to an image processing method, device, storage medium and computer equipment.
  • tissue cells are usually processed into pathological tissue specimens, that is, the tissue cells are stored in the glass section specimens, and then the doctor observes the condition of the tissue cells in the glass section under a microscope to confirm the type of disease .
  • the glass section specimens have high requirements for storage environment, and pathological diagnosis through the above-mentioned methods requires special personnel to maintain the pathological tissue specimens, retrieve and store the pathological tissue specimens, resulting in a lot of waste of labor costs.
  • the display of pathological tissue specimens in the above-mentioned manner requires multiple doctors to gather together to observe under a microscope, which will cause interference between doctors and affect the pathology. Analysis accuracy of tissue specimens.
  • This application provides an image processing method, device, storage medium, and computer equipment.
  • the main purpose is to realize remote pathological diagnosis without special personnel to maintain, retrieve and store pathological tissue specimens, so as to save labor for pathological diagnosis. Cost, and can avoid mutual interference, avoid affecting the analysis accuracy of pathological tissue specimens.
  • an image processing method which includes: collecting images of different pathological tissue specimens corresponding to different patients, and obtaining identification information of the different patients; establishing identification information of the different patients And the corresponding relationship between the images of the different pathological tissue specimens, and the identification information of the different patients, the image of the different pathological tissue specimens, and the corresponding relationship are stored in a preset image database; when the receiving client sends According to the pathological tissue specimen image query request carried in the query request, 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 in the query request, and the pathology of the target patient The tissue specimen image is fed back to the client.
  • an image processing device including:
  • the collection unit is used to collect images of different pathological tissue specimens corresponding to different patients, and to obtain identification information of the different patients;
  • the establishment unit is used to establish the correspondence between the identification information of the different patients and the images of the different pathological tissue specimens;
  • a storage unit configured to store the identification information of the different patients, the image of the different pathological tissue specimens and the corresponding relationship in a preset image database
  • the searching unit is configured to, when receiving a pathological tissue specimen image query request sent by the client, search for the pathological tissue specimen of the target patient from the preset image database according to the identification information of the target patient carried in the query request image;
  • the sending unit is used to feed back the image of the pathological tissue specimen of the target patient to the client.
  • a non-volatile readable storage medium having computer readable instructions stored thereon.
  • the computer readable instructions When executed by a processor, the following steps are implemented: Images of specimens of different pathological tissues, and obtain identification information of the different patients; establish the correspondence between the identification information of the different patients and the images of the specimens of different pathological tissues, and combine the identification information of the different patients ,
  • the different pathological tissue specimen images and the corresponding relationship are stored in a preset image database; when a pathological tissue specimen image query request sent by the client is received, the identification information of the target patient carried in the query request is obtained from the Searching for the pathological tissue specimen image of the target patient in the preset image database, and feeding back the pathological tissue specimen image of the target patient to the client.
  • a computer device including a memory, a processor, and computer-readable instructions stored in the memory and executable on the processor.
  • the processor executes the computer-readable instructions The following steps are achieved: collecting images of different pathological tissue specimens corresponding to different patients, and obtaining identification information of the different patients; establishing the correspondence between the identification information of the different patients and the images of the different pathological tissue specimens, And the identification information of the different patients, the different pathological tissue specimen images and the corresponding relationship are stored in the preset image database; when the pathological tissue specimen image query request sent by the client is received, according to the query request The carried identification information of the target patient searches for the pathological tissue sample image of the target patient from the preset image database, and feeds back the pathological tissue sample image of the target patient to the client.
  • the image processing method, device, storage medium and computer equipment provided in this application are compared with the current need for doctors to observe the condition of tissue cells in glass slices under a microscope to confirm the type of disease.
  • This application can collect different pathologies corresponding to different patients. Tissue specimen images, and obtain the identification information of the different patients; establish the correspondence between the identification information of the different patients and the images of the different pathological tissue specimens, and combine the identification information and the identification information of the different patients.
  • the images of the different pathological tissue specimens and the corresponding relationship are stored in a preset image database.
  • the pathological tissue specimen of the target patient can be searched from the preset image database according to the identification information of the target patient carried in the query request Image, and feed back the image of the pathological tissue specimen of the target patient to the client, so that remote diagnosis of pathology can be realized through the client, without special personnel for maintenance, retrieval and storage of pathological tissue specimens, thereby saving pathological diagnosis
  • the labor cost is consumed, and there is no need to guarantee the accuracy of the analysis of pathological tissue specimens.
  • FIG. 1 shows a schematic flowchart of an image processing method provided by an embodiment of the present application
  • FIG. 2 shows a schematic flowchart of another image processing method provided by an embodiment of the present application
  • Figure 3 shows a schematic structural diagram of an image processing system provided by an embodiment of the present application
  • FIG. 4 shows a schematic flowchart of yet another image processing method provided by an embodiment of the present application
  • FIG. 5 shows a schematic structural diagram of an image processing apparatus provided by an embodiment of the present application
  • Fig. 6 shows a schematic structural diagram of another image processing apparatus provided by an embodiment of the present application.
  • FIG. 7 shows a schematic diagram of the physical structure of a computer device provided by an embodiment of the present application.
  • the tissue cells of patients are usually processed into pathological tissue specimens, that is, the tissue cells are stored in the glass section specimen, and then the doctor observes the condition of the tissue cells in the glass section under a microscope to confirm the disease type.
  • the glass section specimens have high requirements for storage environment, and pathological diagnosis through the above methods requires special personnel to maintain the pathological tissue specimens, retrieve and store the pathological tissue specimens, resulting in a lot of waste of labor costs.
  • the display of pathological tissue specimens in the above-mentioned manner requires multiple doctors to gather together to observe under a microscope, which will cause interference between doctors and affect the pathology. Analysis accuracy of tissue specimens.
  • an embodiment of the present application provides an image processing method, as shown in FIG. 1, which can be applied to a server, and the method includes:
  • the images of the different pathological tissue specimens may be obtained by scanning the pathological tissue specimens of the different pathological tissues, and the pathological tissue specimen may be a glass section on which tissue cells are placed.
  • images of different pathological tissue specimens can be obtained by scanning with the pathology scanner, the identification information of the different patients can be the identification codes of different patients, which can uniquely identify the patients, and the identification information of the different patients can be Obtained from the hospital information system.
  • the preset image database may be a medical image archiving and communication system (Picture Archiving and Communication Systems, PACS) database, and the pathological tissue specimen images of patients can be systematically managed through the PACS database.
  • the execution subject server of the embodiment of the present application may be a PACS server, and the PACS server may store the information involved in step 102 in the data instance of the PACS database. In order to improve system compatibility, the PACS server may be supported by PACS The data transfer interface stores the information involved in step 102.
  • the client terminal may be a digital pathology browser or a digital pathology application program, which is not limited in the embodiment of the present application.
  • the client sends a query request to the server.
  • the client can support the function of zooming and moving the image of the pathological tissue specimen, or Support the standard function of pathological tissue specimen images.
  • the image processing method provided by the embodiments of this application compared with the current need for doctors to observe the condition of tissue cells in glass slices under a microscope to confirm the type of disease, this application can collect images of different pathological tissue specimens corresponding to different patients and obtain The identification information of the different patients; establish the correspondence between the identification information of the different patients and the images of the different pathological tissue specimens, and combine the identification information of the different patients and the images of the different pathological tissue specimens And the corresponding relationship is stored in a preset image database.
  • the pathological tissue specimen of the target patient can be searched from the preset image database according to the identification information of the target patient carried in the query request Image, and feed back the image of the pathological tissue specimen of the target patient to the client, so that remote diagnosis of pathology can be realized through the client, without special personnel for maintenance, retrieval and storage of pathological tissue specimens, thereby saving pathological diagnosis
  • the labor cost is consumed, and the accuracy of the analysis of pathological tissue samples can be guaranteed.
  • an embodiment of the present application provides another image processing method. As shown in FIG. 2, the method includes:
  • a pathology scanner to scan different pathological tissue specimens corresponding to the different patients to obtain images of the different pathological tissue specimens, and obtain identification information of the different patients.
  • the server can pass through a traditional network
  • the protocol receives different pathological tissue specimens collected by the pathology scanner, and can perform compression processing after receiving the different pathological tissue specimens, and then store the compressed pathological tissue specimens in a preset database.
  • the preset standard medical file format may be Digital Imaging and Communications in Medicine (DICOM) file format
  • DICOM may be an item used to transfer, store, print, process and display medical imaging information.
  • DICOM Digital Imaging and Communications in Medicine
  • International standards It not only defines the data format of medical images, but also defines how medical images are transmitted over the network between multiple systems.
  • the DICOM data format includes a variety of files with image format, but without image format files.
  • the DICOM network transmission protocol can include traditional network protocols as well as network protocols newly added in 2014.
  • the network protocol corresponding to the preset standard medical file format may be the DICOM network protocol.
  • the DICOM network protocol can be used to encapsulate images of different pathological tissue specimens into digital pathological images that do not contain image formats. By encapsulating the digital pathological images into the digital pathological images, it can be ensured that the tissue specimens are displayed with high resolution, and the display effect can be further reduced. Screen, computer memory and network bandwidth requirements.
  • the client When receiving a pathological tissue specimen image query request sent by the client, search for the pathological tissue specimen image of the target patient from the preset image database according to the identification information of the target patient carried in the query request, and The image of the pathological tissue specimen of the target patient is fed back to the client.
  • the client is a digital pathology browser
  • the user can open the web page of the digital pathology browser and enter the identification information of the target patient in the web page to initiate a query request, so that the server can query, in order to enhance the compatibility of the system
  • the transmission interface newly added to the DICOM standard can be used to receive the query request sent by the digital pathology browser, and send the searched pathological tissue specimen image to the digital pathology browser.
  • the method further includes: when a tile image query request sent by the client is received, query according to the tile image
  • the identification information, resolution, and image position of the target image carried in the request are searched from the preset image database for the target image at the resolution and corresponding to the image position.
  • the tile image is fed back to the client.
  • the client may send a tile image query request to the server after detecting the trigger event of "retrieve tile".
  • the server can use the new transfer interface of the DICOM standard to receive the tile image query request sent by the digital pathology browser, and send the tile image query to the digital pathology browser. Pathology browser.
  • the method further includes: using a preset asynchronous tile algorithm to perform tile image processing on the different pathological tissue specimen images to obtain the different pathological tissue specimen images respectively.
  • different tile images correspond to different image positions; establish the first difference between the identification information of the different pathological tissue specimen images and the tile image at different resolutions Correspondence; storing the identification information of the different pathological tissue specimen images, the respective tile block images at the different resolutions, and the first correspondence relationship in the preset image database.
  • the server can also be compatible with images in different formats, for example, it can be compatible with the Tag Image File Format (TIFF) format, the Joint Photographic Experts Group (JPEG), etc.
  • TIFF Tag Image File Format
  • JPEG Joint Photographic Experts Group
  • when performing image compression the scanned original pathological tissue specimen image can be compressed by a lossless compression algorithm, and for low-resolution tiles, a lossy compression algorithm can be used.
  • the scanned original pathological tissue specimen image can be compressed using the JPEG 2000 lossless compression algorithm, and for low-resolution tiles, the JPEG2000 lossy compression algorithm can be used for compression.
  • the server can store the original pathological tissue specimen image in the instance of the preset file feature value.
  • Each instance can store multiple frames of images in a predetermined format.
  • Each frame of image can be used to store each tile image, corresponding to different
  • an example of pathological tissue specimen images at each resolution can be generated and archived separately, and the specific resolution can be stored in the table element corresponding to the example.
  • the preset file feature value may specifically be a feature value of "Image Type (0008,0008)-ORIGINAL/PRIMARY/VOLUME"
  • the predetermined format may be a JPEG format or a TIFF format.
  • the preset asynchronous tile block algorithm is used to perform tile block processing on the different pathological tissue specimen images to obtain each tile block image of the different pathological tissue specimen images at different resolutions.
  • the steps may specifically include: converting the different pathological tissue specimen images into different pathological tissue specimen images at the different resolutions according to different resolutions; and comparing the different pathological tissue specimens at the different resolutions according to different image positions The image is decomposed and processed to obtain respective tile block images of the different pathological tissue specimen images at different resolutions.
  • the image of the pathological tissue specimen can be annotated through the client.
  • the method further includes: receiving the annotation sent by the client A pathological tissue specimen image, the marked pathological tissue specimen image is generated based on the marked information and the pathological tissue specimen image of the target patient. Specifically, the reading doctor can annotate the image of the pathological tissue specimen through text and various graphics.
  • the client may, based on the annotation information and the pathological tissue specimen image, Generate a marked pathological tissue specimen image and send it to the server so that other doctors can request the marked pathological tissue specimen image.
  • the labeled pathological tissue specimen image may be a PR-type DICOM file, and specifically, the original pathological tissue specimen image referenced by it may be saved, which is convenient for doctors in other reading workstations to restore the annotation.
  • the image of the labeled pathological tissue specimen may be sent by the client calling the file interface of the server.
  • the image processing system provided in FIG. 3 includes a pathology scanner, a server, and a client.
  • a pathology scanner can be used to collect a pathological tissue sample image. If the collected 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. Then the pathological tissue sample image in DICOM format is compressed according to the image compression parameters compatible with the server, and the compressed medical image is stored in the PACS server.
  • the PACS server can also asynchronously generate tile image of the pathological tissue sample image.
  • the server queries the pathological tissue sample image according to the query conditions, and sends it to the client for rendering and display.
  • the corresponding tile block can be retrieved according to the display area size, location and resolution of the client and fed back to the client.
  • the client can execute the step of "display the pathological tissue specimen picture", take out the pixel data from the corresponding tile block, and render the pixels in blocks in the display area. Due to the relatively large size of the pathological tissue specimen pictures, the reading doctor needs to move the picture position, or zoom in and reduce the picture, to adjust the best observation position.
  • the image position and resolution will change, so The client can automatically trigger the tile image query request carrying the changed image position and resolution, and re-acquire and display the tile image.
  • Another image processing method provided by the embodiments of this application compared with the current need for doctors to observe the condition of tissue cells in glass sections under a microscope to confirm the type of disease, this application can collect images of different pathological tissue specimens corresponding to different patients, and Obtain the identification information of the different patients; establish the correspondence between the identification information of the different patients and the images of the different pathological tissue specimens, and combine the identification information of the different patients and the different pathological tissue specimens
  • the image and the corresponding relationship are stored in a preset image database.
  • the pathological tissue specimen of the target patient can be searched from the preset image database according to the identification information of the target patient carried in the query request Image, and feed back the image of the pathological tissue specimen of the target patient to the client, so that remote diagnosis of pathology can be realized through the client, without special personnel for maintenance, retrieval and storage of pathological tissue specimens, thereby saving pathological diagnosis
  • the labor cost is consumed, and the accuracy of the analysis of pathological tissue samples can be guaranteed.
  • an embodiment of the present application provides an image processing device.
  • the device includes: a collection unit 31, a creation unit 32, a storage unit 33, a search unit 34, and a sending unit. Unit 35.
  • the collection unit 31 can be used to collect images of different pathological tissue specimens corresponding to different patients, and to obtain identification information of the different patients.
  • the collection unit 31 is the main functional module of the main functional module that collects different pathological tissue specimen images corresponding to different patients and obtains identification information of the different patients in the device.
  • the establishing unit 32 may be used to establish the correspondence between the identification information of the different patients and the images of the different pathological tissue specimens.
  • the establishing unit 32 is a main functional module in the device that establishes the corresponding relationship between the identification information of the different patients and the images of the different pathological tissue specimens.
  • the storage unit 33 may be used to store the identification information of the different patients, the images of the different pathological tissue specimens, and the corresponding relationship in a preset image database.
  • the storage unit 33 is a main functional module of the device that stores the identification information of the different patients, the images of the different pathological tissue specimens, and the corresponding relationship in a preset image database.
  • the searching unit 34 may be used to search for the target patient from the preset image database according to the identification information of the target patient carried in the query request when receiving a pathological tissue specimen image query request sent by the client.
  • the searching unit 34 is used for searching the target patient from the preset image database according to the identification information of the target patient carried in the query request when the device receives a query request for the image of the pathological tissue specimen sent by the client.
  • the main functional module of pathological tissue specimen images is also the core module.
  • the sending unit 35 may be used to feed back the image of the pathological tissue specimen of the target patient to the client.
  • the sending unit 35 is a main functional module of the device that feeds back the image of the pathological tissue specimen of the target patient to the client.
  • the device in order to improve the transmission efficiency of pathological images, the device also supports tile image display, and the search unit 34 may be specifically used when receiving a tile image query request sent by the client.
  • the preset image database is searched for the target image at the resolution and the same as the image position.
  • the sending unit 35 may be specifically configured to feed back the tile image to the client.
  • the device in order to obtain the tile image, the device further includes a processing unit 36, as shown in FIG. 6.
  • the processing unit 36 may be configured to use a preset asynchronous tile block algorithm to perform tile block processing on the images of the different pathological tissue specimens to obtain respective tile blocks of the different pathological tissue specimen images at different resolutions. Images, different tile images correspond to different image positions.
  • the establishing unit 32 may also be used to establish a first correspondence between the identification information of the different pathological tissue specimen images and the respective tile block images at the different resolutions.
  • the storage unit 33 may also store the identification information of the different pathological tissue specimen images, the respective tile block images at the different resolutions, and the first correspondence relationship in the preset image database.
  • the processing unit 36 may be specifically configured to convert the different pathological tissue specimen images into different pathological tissue specimen images at the different resolutions according to different resolutions; and to perform alignment according to different image positions
  • the different pathological tissue specimen images at different resolutions are decomposed and processed to obtain respective tile block images of the different pathological tissue specimen images at different resolutions.
  • the acquisition unit 31 may be specifically configured to use a pathology scanner to scan different pathological tissue samples corresponding to the different patients to obtain images of the different pathological tissue samples.
  • the device in order to reduce the storage space occupied by different pathological tissue specimen images or to improve the reading speed of different pathological tissue specimen images, the device further includes a detection unit 37 and a packaging unit 38.
  • the detection unit 37 may be used to detect whether the format corresponding to the different pathological tissue specimen images is a preset standard medical file format.
  • the detection unit 37 is the main functional module of the device for detecting whether the format corresponding to the different pathological tissue specimen images is a preset standard medical file format.
  • the packaging unit 38 may be used to detect that the format corresponding to the specimen images of the different pathological tissues is not a preset standard medical file format, then use the network protocol pair corresponding to the preset standard medical file format to convert the different pathological tissues
  • the images of tissue specimens are packaged separately.
  • the establishing unit 32 may be specifically configured to establish the correspondence between the identification information of the different patients and the images of the encapsulated different pathological tissue specimens.
  • the image of the pathological tissue specimen may be annotated through the client.
  • the device in order to facilitate other reading doctors to view the annotation result, the device further includes a receiving unit 39.
  • the receiving unit 39 is specifically configured to receive the marked pathological tissue specimen image sent by the client, the marked pathological tissue specimen image generated based on the marked information and the pathological tissue specimen image of the target patient.
  • an embodiment of the present application also provides a non-volatile readable storage medium on which computer-readable instructions are stored, and the computer-readable instructions are implemented when executed by a processor.
  • the following steps collect images of different pathological tissue specimens corresponding to different patients, and obtain identification information of the different patients; establish the correspondence between the identification information of the different patients and the images of the different pathological tissue specimens, and The identification information of the different patients, the different pathological tissue specimen images and the corresponding relationship are stored in a preset image database; when a pathological tissue specimen image query request sent by the client is received, it is carried according to the query request The identification information of the target patient is searched for the pathological tissue sample image of the target patient from the preset image database, and the pathological tissue sample image of the target patient is fed back to the client.
  • the computer device includes: a processor 41, The memory 42 and computer-readable instructions stored on the memory 42 and capable of running on the processor, wherein the memory 42 and the processor 41 are both arranged on the bus 43, and the processor 41 implements the following steps when executing the computer-readable instructions: Collect different pathological tissue specimen images corresponding to different patients, and obtain the identification information of the different patients; establish the corresponding relationship between the identification information of the different patients and the images of the different pathological tissue specimens, and compare the The identification information of different patients, the images of the different pathological tissue specimens and the corresponding relationship are stored in a preset image database; when a pathological tissue specimen image query request sent by the client is received, according to the target disease carried in the query request The identification information of the patient searches for the pathological tissue specimen image of the target patient from the preset image database, and
  • different pathological tissue specimen images corresponding to different patients can be collected, and the identification information of the different patients can be obtained; the identification information of the different patients and the image of the different pathological tissue specimens can be established. And store the identification information of the different patients, the images of the different pathological tissue specimens and the corresponding relationship in a preset image database.
  • the pathological tissue specimen of the target patient can be searched from the preset image database according to the identification information of the target patient carried in the query request Image, and feed back the image of the pathological tissue specimen of the target patient to the client, so that remote diagnosis of pathology can be realized through the client, without special personnel for maintenance, retrieval and storage of pathological tissue specimens, thereby saving pathological diagnosis
  • the labor cost is consumed, and the accuracy of the analysis of pathological tissue samples can be guaranteed.

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Abstract

一种利用大数据的图像处理方法、装置、存储介质及计算机设备,涉及信息技术领域,适用于图像的处理,主要目的在于能够实现远程进行病理诊断,无需专人来维护,调取和存放病理组织标本,从而能够节省病理诊断所消耗的人力成本,且能够避免互相干扰,避免影响病理组织标本的分析准确性。所述方法包括:采集不同病患对应的不同病理组织标本图像,并获取所述不同病患的标识信息(101);建立所述不同病患的标识信息和所述不同病理组织标本图像之间的对应关系,并将所述不同病患的标识信息、所述不同病理组织标本图像和所述对应关系存储到预设图像数据库中(102);当接收到客户端发送的病理组织标本图像查询请求,根据所述查询请求携带的目标病患的标识信息从所述预设图像数据库中查找所述目标病患的病理组织标本图像,并将所述目标病患的病理组织标本图像反馈给所述客户端(103)。

Description

图像处理方法、装置、存储介质及计算机设备
本申请要求与2019年5月31日提交中国专利局、申请号为2019104696236、申请名称为“图像处理方法、装置、存储介质及计算机设备”的中国专利申请的优先权,其全部内容通过引用结合在申请中。
技术领域
本申请涉及信息技术领域,尤其是涉及一种图像处理方法、装置、存储介质及计算机设备。
背景技术
近年来,为了方便医生进行病理诊断,通常将病患的组织细胞处理成病理组织标本,即将组织细胞存放在玻璃切片标本里,然后由医生在显微镜下观察玻璃切片中组织细胞状况来确诊疾病类型。然而,发明人发现玻璃切片标本对存储环境要求较高,通过上述方式进行病理诊断需要专人来维护病理组织标本,调取和存放病理组织标本,造成浪费大量的人力成本。此外,针对病理组织标本需要由多个医生观看一个病理组织标本的实物展示结果,通过上述方式展示病理组织标本,需要多个医生集中聚在显微镜下观看,造成医生之间会互相干扰,影响病理组织标本的分析准确性。
发明内容
本申请提供了一种图像处理方法、装置、存储介质及计算机设备,主要目的在于能够实现远程进行病理诊断,无需专人来维护,调取和存放病理组织标本,从而能够节省病理诊断所消耗的人力成本,且能够避免互相干扰,避免影响病理组织标本的分析准确性。
根据本申请的第一个方面,提供一种图像处理方法,包括:采集不同病患对应的不同病理组织标本图像,并获取所述不同病患的标识信息;建立所述不同病患的标识信息和所述不同病理组织标本图像之间的对应关系,并将所述不同病患的标识信息、所述不同病理组织标本图像和所述对应关系存储到预设图像数据库中;当接收客户端发送的病理组织标本图像查询请求,根据所述查询请求携带的目标病患的标识信息从所述预设图像数据库中查找所述目标病患的病理组织标本图像,并将所述目标病患的病理组织标本图像反馈给所述客户端。
根据本申请的第二个方面,提供一种图像处理装置,包括:
采集单元,用于采集不同病患对应的不同病理组织标本图像,并获取所述不同病患的标识信息;
建立单元,用于建立所述不同病患的标识信息和所述不同病理组织标本图像之间的对应关系;
存储单元,用于将所述不同病患的标识信息、所述不同病理组织标本图像和所述对应关系存储到预设图像数据库中;
查找单元,用于当接收到客户端发送的病理组织标本图像查询请求,根据所述查询请求携带的目标病患的标识信息从所述预设图像数据库中查找所述目标病患的病理组织标本图像;
发送单元,用于将所述目标病患的病理组织标本图像反馈给所述客户端。
根据本申请的第三个方面,提供一种非易失性可读存储介质,其上存储有计算机可读指令,该计算机可读指令被处理器执行时实现以下步骤:采集不同病患对应的不同病理组织标本图像,并获取所述不同病患的标识信息;建立所述不同病患的标识信息和所述不同病理组织标本图像之间的对应关系,并将所述不同病患的标识信息、所述不同病理组织标本图像和所述对应关系存储到预设图像数据库中;当接收到客户 端发送的病理组织标本图像查询请求,根据所述查询请求携带的目标病患的标识信息从所述预设图像数据库中查找所述目标病患的病理组织标本图像,并将所述目标病患的病理组织标本图像反馈给所述客户端。
根据本申请的第四个方面,提供一种计算机设备,包括存储器、处理器及存储在存储器上并可在处理器上运行的计算机可读指令,所述处理器执行所述计算机可读指令时实现以下步骤:采集不同病患对应的不同病理组织标本图像,并获取所述不同病患的标识信息;建立所述不同病患的标识信息和所述不同病理组织标本图像之间的对应关系,并将所述不同病患的标识信息、所述不同病理组织标本图像和所述对应关系存储到预设图像数据库中;当接收到客户端发送的病理组织标本图像查询请求,根据所述查询请求携带的目标病患的标识信息从所述预设图像数据库中查找所述目标病患的病理组织标本图像,并将所述目标病患的病理组织标本图像反馈给所述客户端。
本申请提供的一种图像处理方法、装置、存储介质及计算机设备,与目前需要医生在显微镜下观察玻璃切片中组织细胞状况来确诊疾病类型相比,本申请能够采集不同病患对应的不同病理组织标本图像,并获取所述不同病患的标识信息;建立所述不同病患的标识信息和所述不同病理组织标本图像之间的对应关系,并将所述不同病患的标识信息、所述不同病理组织标本图像和所述对应关系存储到预设图像数据库中。与此同时,能够在接收到客户端发送的病理组织标本图像查询请求,根据所述查询请求携带的目标病患的标识信息从所述预设图像数据库中查找所述目标病患的病理组织标本图像,并将所述目标病患的病理组织标本图像反馈给所述客户端,从而能够实现通过客户端进行远程诊断病理,无需专人来维护,调取和存放病理组织标本,进而能够节省病理诊断所消耗的人力成本,且无需能够保证病理组织标本的分析准确性。
附图说明
此处所说明的附图用来提供对本申请的进一步理解,构成本申请的一部分,本申请的示意性实施例及其说明用于解释本申请,并不构成对本申请的不当限定。在附图中:
图1示出了本申请实施例提供的一种图像处理方法的流程示意图;
图2示出了本申请实施例提供的另一种图像处理方法的流程示意图;
图3示出了本申请实施例提供的一种图像处理系统的结构示意图;
图4示出了本申请实施例提供的又一种图像处理方法的流程示意图;
图5示出了本申请实施例提供的一种图像处理装置的结构示意图;
图6示出了本申请实施例提供的另一种图像处理装置的结构示意图;
图7示出了本申请实施例提供的一种计算机设备的实体结构示意图。
具体实施方式
下文中将参考附图并结合实施例来详细说明本申请。需要说明的是,在不冲突的情况下,本申请中的实施例及实施例中的特征可以相互组合。
如背景技术,目前,通常将病患的组织细胞处理成病理组织标本,即将组织细胞存放在玻璃切片标本里,然后由医生在显微镜下观察玻璃切片中组织细胞状况来确诊疾病类型。然而,玻璃切片标本对存储环境要求较高,通过上述方式进行病理诊断需要专人来维护病理组织标本,调取和存放病理组织标本,造成浪费大量的人力成本。此外,针对病理组织标本需要由多个医生观看一个病理组织标本的实物展示结果,通过上述方式展示病理组织标本,需要多个医生集中聚在显微镜下观看,造成医生之间会互相干扰,影响病理组织标本的分析准确性。
为了解决上述问题,本申请实施例提供了一种图像处理方法,如图1所示,可以应用于服务器,所述方法包括:
101、采集不同病患对应的不同病理组织标本图像,并获取所述不同病患的标识信息。其中,所述不同病理组织标本图像可以为对所述不同病理的病理组织标本进行扫描得到的,所述病理组织标本可以为放置有组织细胞的玻璃切片。具体地,可以通过所述病理扫描仪扫描得到不同病理组织标本图像,所述不同病患的标识信息可以为不同病患的身份编码,能够唯一标识病患,所述不同病患的标识信息可以为从医院信息系统获取的。
102、建立所述不同病患的标识信息和所述不同病理组织标本图像之间的对应关系,并将所述不同病患的标识信息、所述不同病理组织标本图像和所述对应关系存储到预设图像数据库中。需要说明的是,所述预设图像数据库可以为医学影像存档与通讯系统(Picture archiving and communication systems,PACS)的数据库,通过PACS数据库可以对病患的病理组织标本图像进行系统管理。本申请实施例的执行主体服务器可以为PACS服务器,所述PACS服务器可以将步骤102涉及的信息存储到所述PACS数据库的数据实例中,为了提高系统兼容性,所述PACS服务器可以通过PACS支持的数据传递接口存储步骤102涉及的信息。
103、当接收到客户端发送的病理组织标本图像查询请求,根据所述查询请求携带的目标病患的标识信息从所述预设图像数据库中查找所述目标病患的病理组织标本图像,并将所述目标病患的病理组织标本图像反馈给所述客户端。其中,所述客户端可以为数字病理浏览器,也可以为数字病理应用程序,本申请实施例在此不进行限定。当用户在所述客户端输入目标病患的标识信息并点击查询按钮时,所述客户端向所述服务器发送查询请求,所述客户端可以支持缩放和挪动病理组织标本图像的功能,也可以支持病理组织标本图像的标准功能。
本申请实施例提供的一种图像处理方法,与目前需要医生在显微镜下观察玻璃切片中组织细胞状况来确诊疾病类型相比,本申请能够采集不同病患对应的不同病理组织标本图像,并获取所述不同病患的标识信息;建立所述不同病患的标识信息和所述不同病理组织标本图像之间的对应关系,并将所述不同病患的标识信息、所述不同病理组织标本图像和所述对应关系存储到预设图像数据库中。与此同时,能够在接收到客户端发送的病理组织标本图像查询请求,根据所述查询请求携带的目标病患的标识信息从所述预设图像数据库中查找所述目标病患的病理组织标本图像,并将所述目标病患的病理组织标本图像反馈给所述客户端,从而能够实现通过客户端进行远程诊断病理,无需专人来维护,调取和存放病理组织标本,进而能够节省病理诊断所消耗的人力成本,且能够保证病理组织标本的分析准确性。
进一步的,为了更好的说明上述图像处理的过程,作为对上述实施例的细化和扩展,本申请实施例提供了另一种图像处理方法,如图2所示,所述方法包括:
201、利用病理扫描仪对所述不同病患对应的不同病理组织标本进行扫描,得到所述不同病理组织标本图像,并获取所述不同病患的标识信息。对于本申请实施例,由于病理扫描仪扫描的图像文件非常大,为了降低显示屏、计算机内存和网络带宽的要求,提升不同病理组织标本图像的传输和显示效率,所述服务器可以通过传统的网络协议接收所述病理扫描仪采集的不同病理组织标本,且可以在接收到不同病理组织标本后进行压缩处理,然后将压缩处理后的病理组织标本存储到预设数据库中。
202、检测所述不同病理组织标本图像对应的格式是否为预设标准医学文件格式。若否,则执行步骤 203。其中,所述预设标准医学文件格式可以为医学数字成像和通信(Digital Imaging and Communications in Medicine,DICOM)文件格式,DICOM可以为一项用来转移,存放,打印,处理和显示医学影像信息的国际标准。不仅定义了医学图像的数据格式,而且定义了医学图像如何在多个系统之间网络传输。DICOM数据格式包括各种含影像格式文件,不含影像格式文件。DICOM网络传输协议可以包括传统的网络协议也包括2014年新增的网络协议。
203、利用所述预设标准医学文件格式对应的网络协议对将所述不同病理组织标本图像分别进行封装。其中,所述预设标准医学文件格式对应的网络协议可以为DICOM网络协议。具体地,可以利用DICOM网络协议将不同病理组织标本图像封装成不含影像格式的数字病理图像,通过封装成所述数字病理图像能够保证组织标本以高分辨率显示,且能够进一步地降低对显示屏、计算机内存和网络带宽的要求。
204、建立所述不同病患的标识信息和封装后的不同病理组织标本图像之间的对应关系,并将所述不同病患的标识信息、所述封装后的不同病理组织标本图像和所述对应关系存储到预设图像数据库中。
205、当接收到客户端发送的病理组织标本图像查询请求,根据所述查询请求携带的目标病患的标识信息从所述预设图像数据库中查找所述目标病患的病理组织标本图像,并将所述目标病患的病理组织标本图像反馈给所述客户端。需要说明的是,当客户端为数字病理浏览器时,用户可以打开数字病理浏览器的网页,在网页中输入目标病患的标识信息发起查询请求,使得服务器进行查询,为了增强系统的兼容性,可以采用DICOM标准新增的传递接口接收所述数字病理浏览器发送的查询请求,以及将查询到的病理组织标本图像发送给所述数字病理浏览器。
对于本申请实施例,为了进一步提升病理组织标本图像的传输和显示效率,所述方法还包括:当接收到所述客户端发送的瓦片块图像查询请求时,根据所述瓦片块图像查询请求携带的目标图像的标识信息、分辨率和图像位置从所述预设图像数据库中查找所述目标图像在所述分辨率下,且与所述图像位置对应的瓦片块图像,并将所述瓦片块图像反馈给所述客户端。所述客户端可以在检测到“调取瓦片块”的触发事件后,向所述服务器发送瓦片块图像查询请求。为了增强系统的兼容性,可以所述服务器可以采用DICOM标准新增的传递接口接收所述数字病理浏览器发送的瓦片块图像查询请求,以及将查询到的瓦片块图像发送给所述数字病理浏览器。
需要说明的是,为了获取瓦片块图像,所述方法还包括:利用预设异步瓦片块算法对所述不同病理组织标本图像进行瓦片块处理,得到所述不同病理组织标本图像分别在不同分辨率下的各个瓦片块图像,不同瓦片块图像对应不同图像位置;建立所述不同病理组织标本图像的标识信息和所述不同分辨率下的各个瓦片块图像之间的第一对应关系;将所述不同病理组织标本图像的标识信息、所述不同分辨率下的各个瓦片块图像和所述第一对应关系存储到所述预设图像数据库中。所述服务器还可以兼容不同格式的图像,例如,可以兼容标签图像文件格式(Tag Image File Format,TIFF)格式,联合图像专家小组(Joint Photographic Experts Group,JPEG)等,在进行图像压缩时,对于扫描的原始病理组织标本图像可以采用无损压缩算法压缩,对于低分辨率的瓦片可以采用有损压缩算法压缩。具体地,在进行图像压缩时,对于扫描的原始病理组织标本图像可以采用JPEG 2000无损压缩算法压缩,对于低分辨率的瓦片可以采用JPEG2000有损压缩算法压缩。
此外,所述服务器可以将原始病理组织标本图像存放到预设文件特征值的实例里,每个实例可以存放多帧预定格式的图像,每帧图像可以用于存放各个瓦片块图像,对应不同分辨率情况下,每个分辨率下的 病理组织标本图像可以单独生成一个实例并归档,具体的分辨率可以存放在实例对应的表格元素里。所述预设文件特征值具体可以为“Image Type(0008,0008)-ORIGINAL/PRIMARY/VOLUME”的特征值,所述预定格式可以为JPEG格式或者TIFF格式。
在具体应用场景中,所述利用预设异步瓦片块算法对所述不同病理组织标本图像进行瓦片块处理,得到所述不同病理组织标本图像分别在不同分辨率下的各个瓦片块图像的步骤具体可以包括:按照不同分辨率分别将所述不同病理组织标本图像转化为所述不同分辨率下的不同病理组织标本图像;按照不同图像位置对所述不同分辨率下的不同病理组织标本图像进行分解处理,得到所述不同病理组织标本图像分别在不同分辨率下的各个瓦片块图像。
进一步地,为了方便阅片医生进行诊断,可以通过客户端对病理组织标本图像进行标注,对应地,为了方便其他阅片医生查看标注结果,所述方法还包括:接收所述客户端发送的标注病理组织标本图像,所述标注病理组织标本图像根据标注信息和所述目标病患的病理组织标本图像生成的。具体地,阅片医生可以通过文本、各种图形对病理组织标本图像进行标注,客户端在接收到针对病理组织标本图像的标注信息后,可以根据所述标注信息和所述病理组织标本图像,生成标注病理组织标本图像并发送给服务器,使得其他阅片医生可以请求到该标注病理组织标本图像。在具体应用场景中,所述标注病理组织标本图像可以为PR类型的DICOM文件,具体可以保存其引用的原始病理组织标本图像,便于在其他阅片工作站的医生还原标注。所述标注病理组织标本图像可以为所述客户端调用所述服务器的文件接口发送的。
为了更好的理解本申请实施例,还提供如下应用场景,包括:如图3和图4所示,图3提供的图像处理系统包括病理扫描仪、服务器和客户端。在图4中可以利用病理扫描仪采集病理组织样本图像,若采集的病理组织样本图像不是DICOM格式的,则将病理组织样本图像转化为DICOM格式的病理组织样本图像。然后按照服务器兼容的图像压缩参数对DICOM格式的病理组织样本图像进行压缩,将压缩后的医学图像存储到PACS服务器,PACS服务器还可以异步生成病理组织样本图像的瓦片块图像。当客户端发起图像查询请求时,服务器根据查询条件查询病理组织样本图像,并发送给客户端进行渲染显示。具体地,当触发可以根据客户端的展示区域大小,位置和分辩率调取相应的瓦片块并反馈给所述客户端。客户端收到瓦片块图片后,可以执行“显示病理组织标本图片”的步骤,从相应的瓦片块取出像素数据,在展示区域按块渲染像素。由于病理组织标本图片尺寸比较大,阅片医生需要挪动图片位置,或放大缩小图片,来调整最佳观察位置,当缩放或挪动病理组织标本图片后,图像位置和分辨率会发生变化,因此所述客户端可以自动触发携带有变化后的图像位置和分辨率的瓦片块图像查询请求,重新获取并显示瓦片块图像。
本申请实施例提供的另一种图像处理方法,与目前需要医生在显微镜下观察玻璃切片中组织细胞状况来确诊疾病类型相比,本申请能够采集不同病患对应的不同病理组织标本图像,并获取所述不同病患的标识信息;建立所述不同病患的标识信息和所述不同病理组织标本图像之间的对应关系,并将所述不同病患的标识信息、所述不同病理组织标本图像和所述对应关系存储到预设图像数据库中。与此同时,能够在接收到客户端发送的病理组织标本图像查询请求,根据所述查询请求携带的目标病患的标识信息从所述预设图像数据库中查找所述目标病患的病理组织标本图像,并将所述目标病患的病理组织标本图像反馈给所述客户端,从而能够实现通过客户端进行远程诊断病理,无需专人来维护,调取和存放病理组织标本,进而能够节省病理诊断所消耗的人力成本,且能够保证病理组织标本的分析准确性。
进一步地,作为图1的具体实现,本申请实施例提供了一种图像处理装置,如图5所示,所述装置包 括:采集单元31、建立单元32、存储单元33、查找单元34和发送单元35。
所述采集单元31,可以用于采集不同病患对应的不同病理组织标本图像,并获取所述不同病患的标识信息。所述采集单元31是本装置中采集不同病患对应的不同病理组织标本图像,并获取所述不同病患的标识信息的主要功能模块的主要功能模块。
所述建立单元32,可以用于建立所述不同病患的标识信息和所述不同病理组织标本图像之间的对应关系。所述建立单元32是本装置中建立所述不同病患的标识信息和所述不同病理组织标本图像之间的对应关系的主要功能模块。
所述存储单元33,可以用于将所述不同病患的标识信息、所述不同病理组织标本图像和所述对应关系存储到预设图像数据库中。所述存储单元33是本装置中将所述不同病患的标识信息、所述不同病理组织标本图像和所述对应关系存储到预设图像数据库中的主要功能模块。
所述查找单元34,可以用于当接收到客户端发送的病理组织标本图像查询请求,根据所述查询请求携带的目标病患的标识信息从所述预设图像数据库中查找所述目标病患的病理组织标本图像。所述查找单元34是本装置当接收到客户端发送的病理组织标本图像查询请求,根据所述查询请求携带的目标病患的标识信息从所述预设图像数据库中查找所述目标病患的病理组织标本图像的主要功能模块,也是核心模块。
所述发送单元35,可以用于将所述目标病患的病理组织标本图像反馈给所述客户端。所述发送单元35是本装置中将所述目标病患的病理组织标本图像反馈给所述客户端的主要功能模块。
对于本申请实施例,为了提高病理图像的传输效率,所述装置还支持瓦片块图像显示,所述查找单元34,具体可以用于当接收到所述客户端发送的瓦片块图像查询请求时,根据所述瓦片块图像查询请求携带的目标图像的标识信息、分辨率和图像位置从所述预设图像数据库中查找所述目标图像在所述分辨率下,且与所述图像位置对应的瓦片块图像。对应地,所述发送单元35,具体可以用于将所述瓦片块图像反馈给所述客户端。对于本申请实施例,为了得到瓦片块图像,所述装置还包括:处理单元36,如图6所示。
所述处理单元36,可以用于利用预设异步瓦片块算法对所述不同病理组织标本图像进行瓦片块处理,得到所述不同病理组织标本图像分别在不同分辨率下的各个瓦片块图像,不同瓦片块图像对应不同图像位置。
所述建立单元32,还可以用于建立所述不同病理组织标本图像的标识信息和所述不同分辨率下的各个瓦片块图像之间的第一对应关系。
所述存储单元33,还可以将所述不同病理组织标本图像的标识信息、所述不同分辨率下的各个瓦片块图像和所述第一对应关系存储到所述预设图像数据库中。
在具体应用场景中,所述处理单元36,具体可以用于按照不同分辨率分别将所述不同病理组织标本图像转化为所述不同分辨率下的不同病理组织标本图像;并按照不同图像位置对所述不同分辨率下的不同病理组织标本图像进行分解处理,得到所述不同病理组织标本图像分别在不同分辨率下的各个瓦片块图像。
所述采集单元31,具体可以用于利用病理扫描仪对所述不同病患对应的不同病理组织标本进行扫描,得到所述不同病理组织标本图像。
对于本申请实施例,为了降低不同病理组织标本图像所占用的存储空间或者为了提升不同病理组织标本图像的读取速度,所述装置还包括:检测单元37和封装单元38。
所述检测单元37,可以用于检测所述不同病理组织标本图像对应的格式是否为预设标准医学文件格式。 所述检测单元37是本装置中检测所述不同病理组织标本图像对应的格式是否为预设标准医学文件格式的主要功能模块。
所述封装单元38,可以用于若检测所述不同病理组织标本图像对应的格式并非为预设标准医学文件格式,则利用所述预设标准医学文件格式对应的网络协议对将所述不同病理组织标本图像分别进行封装。对应的,所述建立单元32,具体可以用于建立所述不同病患的标识信息和封装后的不同病理组织标本图像之间的对应关系。
对于本申请实施例,为了方便阅片医生进行诊断,可以通过客户端对病理组织标本图像进行标注,对应地,为了方便其他阅片医生查看标注结果,所述装置还包括:接收单元39。
所述接收单元39,具体用于接收所述客户端发送的标注病理组织标本图像,所述标注病理组织标本图像根据标注信息和所述目标病患的病理组织标本图像生成的。
需要说明的是,本申请实施例提供的一种图像处理装置所涉及各功能模块的其他相应描述,可以参考图1所示方法的对应描述,在此不再赘述。
基于上述如图1所示方法,相应的,本申请实施例还提供了一种非易失性可读存储介质,其上存储有计算机可读指令,该计算机可读指令被处理器执行时实现以下步骤:采集不同病患对应的不同病理组织标本图像,并获取所述不同病患的标识信息;建立所述不同病患的标识信息和所述不同病理组织标本图像之间的对应关系,并将所述不同病患的标识信息、所述不同病理组织标本图像和所述对应关系存储到预设图像数据库中;当接收到客户端发送的病理组织标本图像查询请求,根据所述查询请求携带的目标病患的标识信息从所述预设图像数据库中查找所述目标病患的病理组织标本图像,并将所述目标病患的病理组织标本图像反馈给所述客户端。
基于上述如图1所示方法和如图5所示装置的实施例,本申请实施例还提供了一种计算机设备的实体结构图,如图7所示,该计算机设备包括:处理器41、存储器42、及存储在存储器42上并可在处理器上运行的计算机可读指令,其中存储器42和处理器41均设置在总线43上所述处理器41执行计算机可读指令时实现以下步骤:采集不同病患对应的不同病理组织标本图像,并获取所述不同病患的标识信息;建立所述不同病患的标识信息和所述不同病理组织标本图像之间的对应关系,并将所述不同病患的标识信息、所述不同病理组织标本图像和所述对应关系存储到预设图像数据库中;当接收到客户端发送的病理组织标本图像查询请求,根据所述查询请求携带的目标病患的标识信息从所述预设图像数据库中查找所述目标病患的病理组织标本图像,并将所述目标病患的病理组织标本图像反馈给所述客户端。该设备还包括:总线43,被配置为耦接处理器41及存储器42。
通过本申请的技术方案,能够采集不同病患对应的不同病理组织标本图像,并获取所述不同病患的标识信息;建立所述不同病患的标识信息和所述不同病理组织标本图像之间的对应关系,并将所述不同病患的标识信息、所述不同病理组织标本图像和所述对应关系存储到预设图像数据库中。与此同时,能够在接收到客户端发送的病理组织标本图像查询请求,根据所述查询请求携带的目标病患的标识信息从所述预设图像数据库中查找所述目标病患的病理组织标本图像,并将所述目标病患的病理组织标本图像反馈给所述客户端,从而能够实现通过客户端进行远程诊断病理,无需专人来维护,调取和存放病理组织标本,进而能够节省病理诊断所消耗的人力成本,且能够保证病理组织标本的分析准确性。
显然,本领域的技术人员应该明白,上述的本申请的各模块或各步骤可以用通用的计算装置来实现, 它们可以集中在单个的计算装置上,或者分布在多个计算装置所组成的网络上,可选地,它们可以用计算装置可执行的程序代码来实现,从而,可以将它们存储在存储装置中由计算装置来执行,并且在某些情况下,可以以不同于此处的顺序执行所示出或描述的步骤,或者将它们分别制作成各个集成电路模块,或者将它们中的多个模块或步骤制作成单个集成电路模块来实现。这样,本申请不限制于任何特定的硬件和软件结合。以上所述仅为本申请的优选实施例而已,并不用于限制本申请,对于本领域的技术人员来说,本申请可以有各种更改和变化。凡在本申请的精神和原则之内,所作的任何修改、等同替换、改进等,均应包括在本申请的保护范围之内。

Claims (20)

  1. 一种图像处理方法,包括:
    采集不同病患对应的不同病理组织标本图像,并获取所述不同病患的标识信息;
    建立所述不同病患的标识信息和所述不同病理组织标本图像之间的对应关系,并将所述不同病患的标识信息、所述不同病理组织标本图像和所述对应关系存储到预设图像数据库中;
    当接收到客户端发送的病理组织标本图像查询请求,根据所述查询请求携带的目标病患的标识信息从所述预设图像数据库中查找所述目标病患的病理组织标本图像,并将所述目标病患的病理组织标本图像反馈给所述客户端。
  2. 根据权利要求1所述的方法,所述将所述目标病患的病理组织标本图像反馈给所述客户端之后,所述方法还包括:当接收到所述客户端发送的瓦片块图像查询请求时,根据所述瓦片块图像查询请求携带的目标图像的标识信息、分辨率和图像位置从所述预设图像数据库中查找所述目标图像在所述分辨率下,且与所述图像位置对应的瓦片块图像,并将所述瓦片块图像反馈给所述客户端。
  3. 根据权利要求2所述的方法,所述方法还包括:利用预设异步瓦片块算法对所述不同病理组织标本图像进行瓦片块处理,得到所述不同病理组织标本图像分别在不同分辨率下的各个瓦片块图像,不同瓦片块图像对应不同图像位置;建立所述不同病理组织标本图像的标识信息和所述不同分辨率下的各个瓦片块图像之间的第一对应关系;将所述不同病理组织标本图像的标识信息、所述不同分辨率下的各个瓦片块图像和所述第一对应关系存储到所述预设图像数据库中。
  4. 根据权利要求3所述的方法,所述利用预设异步瓦片块算法对所述不同病理组织标本图像进行瓦片块处理,得到所述不同病理组织标本图像分别在不同分辨率下的各个瓦片块图像,包括:按照不同分辨率分别将所述不同病理组织标本图像转化为所述不同分辨率下的不同病理组织标本图像;按照不同图像位置对所述不同分辨率下的不同病理组织标本图像进行分解处理,得到所述不同病理组织标本图像分别在不同分辨率下的各个瓦片块图像。
  5. 根据权利要求1所述的方法,所述采集不同病患对应的不同病理组织标本图像,包括:利用病理扫描仪对所述不同病患对应的不同病理组织标本进行扫描,得到所述不同病理组织标本图像。
  6. 根据权利要求1所述的方法,所述建立所述不同病患的标识信息和所述不同病理组织标本图像之间的对应关系之前,所述方法还包括:检测所述不同病理组织标本图像对应的格式是否为预设标准医学文件格式;若否,则利用所述预设标准医学文件格式对应的网络协议对将所述不同病理组织标本图像分别进行封装;
    所述建立所述不同病患的标识信息和所述不同病理组织标本图像之间的对应关系,包括:建立所述不同病患的标识信息和封装后的不同病理组织标本图像之间的对应关系。
  7. 根据权利要求1所述的方法,所述将所述目标病患的病理组织标本图像反馈给所述客户端之后,所述方法还包括:接收所述客户端发送的标注病理组织标本图像,所述标注病理组织标本图像根据标注信息和所述目标病患的病理组织标本图像生成的。
  8. 一种图像处理装置,包括:
    采集单元,用于采集不同病患对应的不同病理组织标本图像,并获取所述不同病患的标识信息;
    建立单元,用于建立所述不同病患的标识信息和所述不同病理组织标本图像之间的对应关系;
    存储单元,用于将所述不同病患的标识信息、所述不同病理组织标本图像和所述对应关系存储到预设图像数据库中;
    查找单元,用于当接收到客户端发送的病理组织标本图像查询请求,根据所述查询请求携带的目标病患的标识信息从所述预设图像数据库中查找所述目标病患的病理组织标本图像;
    发送单元,用于将所述目标病患的病理组织标本图像反馈给所述客户端。
  9. 根据权利要求8所述的装置,所述查找单元,具体用于当接收到所述客户端发送的瓦片块图像查询请求时,根据所述瓦片块图像查询请求携带的目标图像的标识信息、分辨率和图像位置从所述预设图像数据库中查找所述目标图像在所述分辨率下,且与所述图像位置对应的瓦片块图像,并将所述瓦片块图像反馈给所述客户端。
  10. 根据权利要求9所述的装置,所述装置还包括:处理单元;
    所述处理单元,用于利用预设异步瓦片块算法对所述不同病理组织标本图像进行瓦片块处理,得到所述不同病理组织标本图像分别在不同分辨率下的各个瓦片块图像,不同瓦片块图像对应不同图像位置;所述建立单元,还用于建立所述不同病理组织标本图像的标识信息和所述不同分辨率下的各个瓦片块图像之间的第一对应关系;所述存储单元,还用于将所述不同病理组织标本图像的标识信息、所述不同分辨率下的各个瓦片块图像和所述第一对应关系存储到所述预设图像数据库中。
  11. 根据权利要求10所述的装置,所述处理单元,具体用于按照不同分辨率分别将所述不同病理组织标本图像转化为所述不同分辨率下的不同病理组织标本图像;按照不同图像位置对所述不同分辨率下的不同病理组织标本图像进行分解处理,得到所述不同病理组织标本图像分别在不同分辨率下的各个瓦片块图像。
  12. 根据权利要求8所述的装置,所述采集单元,具体用于利用病理扫描仪对所述不同病患对应的不同病理组织标本进行扫描,得到所述不同病理组织标本图像。
  13. 根据权利要求8所述的装置,所述装置还包括:检测单元和封装单元;所述检测单元,用于检测所述不同病理组织标本图像对应的格式是否为预设标准医学文件格式;所述封装单元,用于若检测所述不同病理组织标本图像对应的格式并非为预设标准医学文件格式,则利用所述预设标准医学文件格式对应的网络协议对将所述不同病理组织标本图像分别进行封装;所述建立单元,具体用于建立所述不同病患的标识信息和封装后的不同病理组织标本图像之间的对应关系。
  14. 根据权利要求8所述的装置,所述装置还包括:接收单元;所述接收单元,用于接收所述客户端发送的标注病理组织标本图像,所述标注病理组织标本图像根据标注信息和所述目标病患的病理组织标本图像生成的。
  15. 一种非易失性可读存储介质,其上存储有计算机可读指令,所述计算机可读指令被处理器执行时实现图像处理方法,包括:采集不同病患对应的不同病理组织标本图像,并获取所述不同病患的标识信息;建立所述不同病患的标识信息和所述不同病理组织标本图像之间的对应关系,并将所述不同病患的标识信息、所述不同病理组织标本图像和所述对应关系存储到预设图像数据库中;当接收到客户端发送的病理组织标本图像查询请求,根据所述查询请求携带的目标病患的标识信息从所述预设图像数据库中查找所述目标病患的病理组织标本图像,并将所述目标病患的病理组织标本图像反馈给所述客户端。
  16. 根据权利要求15所述的存储介质,所述计算机可读指令被处理器执行时实现所述方法时,在将所述目标病患的病理组织标本图像反馈给所述客户端之后,所述方法还包括:当接收到所述客户端发送的瓦片块图像查询请求时,根据所述瓦片块图像查询请求携带的目标图像的标识信息、分辨率和图像位置从所述预设图像数据库中查找所述目标图像在所述分辨率下,且与所述图像位置对应的瓦片块图像,并将所述瓦片块图像反馈给所述客户端。
  17. 根据权利要求16所述的存储介质,所述计算机可读指令被处理器执行时实现所述方法时,所述方法还包括:利用预设异步瓦片块算法对所述不同病理组织标本图像进行瓦片块处理,得到所述不同病理组织标本图像分别在不同分辨率下的各个瓦片块图像,不同瓦片块图像对应不同图像位置;建立所述不同病理组织标本图像的标识信息和所述不同分辨率下的各个瓦片块图像之间的第一对应关系;将所述不同病理组织标本图像的标识信息、所述不同分辨率下的各个瓦片块图像和所述第一对应关系存储到所述预设图像数据库中。
  18. 一种计算机设备,包括存储器、处理器及存储在存储器上并可在处理器上运行的计算机可读指令,所述计算机可读指令被处理器执行时实现图像处理方法,包括:采集不同病患对应的不同病理组织标本图像,并获取所述不同病患的标识信息;建立所述不同病患的标识信息和所述不同病理组织标本图像之间的对应关系,并将所述不同病患的标识信息、所述不同病理组织标本图像和所述对应关系存储到预设图像数据库中;当接收到客户端发送的病理组织标本图像查询请求,根据所述查询请求携带的目标病患的标识信息从所述预设图像数据库中查找所述目标病患的病理组织标本图像,并将所述目标病患的病理组织标本图像反馈给所述客户端。
  19. 根据权利要求18所述的计算机设备,所述计算机可读指令被处理器执行时实现所述方法时,在将所述目标病患的病理组织标本图像反馈给所述客户端之后,所述方法还包括:当接收到所述客户端发送的瓦片块图像查询请求时,根据所述瓦片块图像查询请求携带的目标图像的标识信息、分辨率和图像位置从所述预设图像数据库中查找所述目标图像在所述分辨率下,且与所述图像位置对应的瓦片块图像,并将所述瓦片块图像反馈给所述客户端。
  20. 根据权利要求19所述的计算机设备,所述计算机可读指令被处理器执行时实现所述方法时,所述方法还包括:利用预设异步瓦片块算法对所述不同病理组织标本图像进行瓦片块处理,得到所述不同病理组织标本图像分别在不同分辨率下的各个瓦片块图像,不同瓦片块图像对应不同图像位置;建立所述不同病理组织标本图像的标识信息和所述不同分辨率下的各个瓦片块图像之间的第一对应关系;将所述不同病理组织标本图像的标识信息、所述不同分辨率下的各个瓦片块图像和所述第一对应关系存储到所述预设图像数据库中。
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