CN109524087B - Organization image processing method, organization image processing device, storage medium and computer equipment - Google Patents
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Abstract
The application relates to a tissue image processing method, a device, a storage medium and a computer device, wherein the method acquires tissue image data; receiving an organization label setting instruction; and setting the object tissue label identification as the label identification corresponding to the image data of the object tissue. After tissue image data are obtained, when management operation needs to be carried out on tissues in the tissue image data, the label identification of the image data of the object tissue is set by receiving a tissue label setting instruction, so that the label identification of the object tissue changes, different label identifications correspond to different rendering parameters, the corresponding tissue image is distinguished from other tissue images when displayed, a doctor can further manage and observe the tissue image more conveniently to obtain diagnosis information, the diagnosis efficiency is improved, meanwhile, image interference of other tissues on the object tissue can be avoided, and the diagnosis accuracy is improved.
Description
Technical Field
The present application relates to the field of medical image data processing technologies, and in particular, to a tissue image processing method, an apparatus, a storage medium, and a computer device.
Background
In the medical field, acquiring medical data of a test object and performing medical diagnosis based on a corresponding medical image is a widely used technology, and the medical image can well display various tissue information of the test object, thereby being helpful for a doctor to perform diagnosis.
In the conventional technology, a medical image obtained from medical data often contains a plurality of tissues, and a doctor judges whether the tissues are normal or not according to image information of the tissues to be detected in the medical image. However, since there are many kinds of tissues included in the medical image, when a doctor observes one of the tissues, the other kinds of tissues may interfere with the image of the tissue, and the doctor needs to eliminate the interference of the other tissues during diagnosis, thereby reducing diagnosis efficiency and accuracy.
Disclosure of Invention
In view of the above, it is necessary to provide a tissue image processing method, an apparatus, a storage medium, and a computer device that can improve diagnosis efficiency and accuracy, in view of the problems in the conventional techniques.
A tissue image processing method, comprising:
acquiring tissue image data;
receiving an organization tag setting instruction, wherein the organization tag setting instruction comprises an object organization type identifier and an object organization tag identifier corresponding to the object organization type identifier;
and acquiring image data of the object tissue corresponding to the object tissue type identifier according to the tissue image data, and setting the object tissue label identifier as a label identifier corresponding to the image data of the object tissue, wherein the label identifier is used for determining a rendering parameter for rendering the image data of the corresponding tissue type in the tissue image data.
In one embodiment, the setting the object tissue tag identifier as a tag identifier corresponding to image data of the object tissue includes:
when the label identification corresponding to the image data of the object tissue is empty, adding the label identification of the object tissue as the label identification corresponding to the image data of the object tissue;
and when the image data of the object tissue has the corresponding current label identification, updating the current label identification corresponding to the image data of the object tissue by using the object tissue label.
In one embodiment, at least one of the following two items is included:
when the organization tag setting instruction is an organization tag setting instruction corresponding to an organization adding operation, the object organization tag identification is different from the existing tag identification;
when the organization tag setting instruction is an organization tag setting instruction corresponding to an organization deleting operation, the object organization tag identification is null, or the object organization tag identification is a preset initial tag identification.
In one embodiment, at least one of the following two items is included:
when the organization tag setting instruction is an organization tag setting instruction corresponding to an organization merging operation, the object organization tag identification is the same as one of the tag identifications corresponding to each organization type identification to be merged;
when the organization tag setting instruction is the organization tag setting instruction corresponding to the organization splitting operation, the organization splitting operation comprises organization type identifications of a first preset number, the first preset number is two or more, the object organization tag identifications comprise tag identifications of a second preset number, and the second preset number is smaller than or equal to the first preset number.
In one embodiment, when the organization tag setting instruction is an organization tag setting instruction corresponding to an organization clipping operation, the object organization tag identifier is a hidden tag identifier, and image data rendered by the rendering parameter corresponding to the hidden tag identifier is in a hidden state when displayed.
In one embodiment, when the tissue tag setting instruction is a tissue tag setting instruction corresponding to a tissue locking operation, the method further includes the steps of: and setting the object organization label identification corresponding to the object organization type identification to be in a locking state.
In one embodiment, after the setting of the object tissue tag identifier as the tag identifier corresponding to the image data of the object tissue, the method further includes:
rendering the image data of the tissue type corresponding to each label identification by adopting the rendering parameters corresponding to each label identification, and displaying the image data of each corresponding tissue type.
A tissue image processing apparatus comprising:
the data acquisition module is used for acquiring tissue image data;
the command receiving module is used for receiving an organization tag setting command, wherein the organization tag setting command comprises an object organization type identifier and an object organization tag identifier corresponding to the object organization type identifier;
and the tag setting module is used for acquiring the image data of the object tissue corresponding to the object tissue type identifier according to the tissue image data, and setting the object tissue tag identifier as the tag identifier corresponding to the image data of the object tissue, wherein the tag identifier is used for determining rendering parameters for rendering the image data of the corresponding tissue type in the tissue image data.
A computer device comprising a memory storing a computer program and a processor implementing the steps of the above tissue image processing method when executing the computer program.
A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the above-mentioned tissue image processing method.
The tissue image processing method, the tissue image processing device, the storage medium and the computer equipment acquire tissue image data; receiving an organization tag setting instruction, wherein the organization tag setting instruction comprises an object organization type identifier and an object organization tag identifier corresponding to the object organization type identifier; and according to the organization image data, acquiring the image data of the object organization corresponding to the object organization type identification, and setting the object organization label identification as the label identification corresponding to the image data of the object organization, wherein the label identification is used for determining the rendering parameter for rendering the image data of the corresponding organization type in the organization image data. After tissue image data are obtained, when management operation needs to be carried out on tissues in the tissue image data, the label identification of the image data of the object tissue is set by receiving a tissue label setting instruction, so that the label identification of the object tissue changes, different label identifications correspond to different rendering parameters, the corresponding tissue image is distinguished from other tissue images when displayed, a doctor can further manage and observe the tissue image more conveniently to obtain diagnosis information, the diagnosis efficiency is improved, meanwhile, image interference of other tissues on the object tissue can be avoided, and the diagnosis accuracy is improved.
Drawings
FIG. 1 is a schematic flow chart diagram of a tissue image processing method according to an embodiment;
FIG. 2 is a diagram illustrating an example of two-dimensional tissue image data processing in one embodiment;
FIG. 3 is a diagram showing an example of two-dimensional tissue image data processing in another embodiment;
FIG. 4 is a schematic flow chart diagram illustrating a tissue image processing method according to another embodiment;
FIG. 5 is a diagram illustrating an example of three-dimensional tissue image data processing in one embodiment;
fig. 6 is a schematic structural diagram of a tissue image processing apparatus according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
In post-processing of medical images, certain tissue structures of a human body are generally observed and diagnosed in a targeted manner, and in the process of diagnosis, a plurality of different tissues can be separated by processing the medical images, and the tissue images can be modified and displayed. For example: for head and neck data of CT scanning, after a head and neck bone removal algorithm, blood vessels and bone tissues can be respectively extracted, and a doctor can observe and analyze a carotid artery or a skull region. The tissue image processing method provided by the application can be applied to an instrument/equipment/device/system with a medical image (tissue image) processing function, and a doctor can more flexibly and conveniently manage and operate the tissue structure by processing the medical image through the instrument/equipment/device/system, so that the condition of an illness can be more pertinently diagnosed, and the accuracy and the efficiency of diagnosis are improved.
In one embodiment, as shown in fig. 1, a tissue image processing method is provided, which is described by taking the method as an example of being applied to a medical image processing apparatus, and the method includes the steps of:
step S100, tissue image data is acquired.
Since the medical image processing apparatus needs to load the medical image first when performing the medical image processing, it is necessary to acquire the tissue image data first. Taking a three-dimensional medical image processing apparatus as an example, the acquired image data may be a sequence conforming to the Digital Imaging and Communications in Medicine (digi-med) standard, where a sequence includes a plurality of Dicom images and may form a volume data with three dimensions.
After acquiring the tissue image data, the medical image processing device displays the tissue image data through a medical visualization algorithm. Specifically, the tissue image data display method includes: MPR (Multi Planar reconstruction), CPR (Curved Planar reconstruction), VRT (Volume Rendering technology), MIP (maximum Intensity Projection), MinIP (minimum Intensity Projection), SSD (shaded surface display), CTVE (CT virtual end endoscope), and the like.
Step S200, receiving an organization tag setting instruction.
After the medical image processing device displays the tissue images, a doctor can manage the tissue images according to the displayed tissue images, and sends a tissue label setting instruction for managing the tissue images to the medical image processing device through the interaction device, wherein the tissue label setting instruction comprises a target tissue type identifier and a target tissue label identifier corresponding to the target tissue type identifier, and the medical image processing device receives the tissue label setting instruction sent by the doctor through the interaction device.
Step S300, according to the organization image data, acquiring the image data of the object organization corresponding to the object organization type identification, and setting the object organization label identification as the label identification corresponding to the image data of the object organization.
After receiving the tissue tag setting instruction, the medical image processing device analyzes the tissue tag setting instruction to acquire the object tissue type identifier in the instruction and the object tissue tag identifier corresponding to the object tissue type identifier. After the object tissue type identifier and the object tissue label identifier are obtained, the image data of the object tissue corresponding to the object tissue type identifier is obtained from the tissue image data, the object tissue label identifier is set as the label identifier corresponding to the image data of the object tissue, and the label identifier is used for determining rendering parameters for rendering the image data of the corresponding tissue type in the tissue image data.
It can be understood that after the organization image processing flow is adopted, when different object organizations are managed, the corresponding tag identifications of the organization image data are different, and when the organization image data are rendered according to the tag identifications, the rendering parameters corresponding to different object organizations are also different, so that the rendering effects of different object organizations are different, and further different object organizations can be distinguished, and a doctor can conveniently observe and diagnose.
It should be noted that, when setting the tag identifier of the organization image data, all the organization image data may have a default initial tag identifier corresponding thereto, and the initial tag identifiers of all the organization image data are the same, so that the rendering parameters of all the organization image data are the same, that is, the display effects of all the image organizations are also the same. When the tissue image is processed, the corresponding initial tag identification of different object tissues can be modified.
Further, when setting the tag identifier of the organization image data, it may also be that there is no corresponding tag identifier for all the organization image data, that is, the tag identifiers of all the organization image data are all empty, and at this time, the tag identifier of the empty may be set to correspond to a default rendering parameter, that is, when the tag identifiers of all the organization image data are all empty, the rendering parameters are still the same, and the corresponding display effects are also still the same. When tissue image processing is carried out, different label identifications are set for different object tissues.
In addition, in the actual processing, it is not limited to use only one of the above two label identifier setting methods, and the two methods may be used in combination.
The embodiment provides a tissue image processing method, after tissue image data is acquired, when management operation needs to be performed on tissues in the tissue image data, a tag identifier of image data of a target tissue is set by receiving a tissue tag setting instruction, so that the tag identifier of the target tissue changes, different tag identifiers correspond to different rendering parameters, a corresponding tissue image is distinguished from other tissue images when being displayed, a doctor can further manage and observe the tissue image more conveniently to obtain diagnosis information, diagnosis efficiency is improved, image interference of other tissues on the target tissue can be avoided, and diagnosis accuracy is improved.
The tissue image processing method in each embodiment of the present application may be applied to two-dimensional or three-dimensional image data, and for convenience of understanding, the tissue image processing method in the present application will be explained with reference to two-dimensional image data in each embodiment of the present application.
In an embodiment, in a case that a default initial tag identifier exists for all the tissue image data, in this case, in step S300, the setting the target tissue tag identifier as the tag identifier corresponding to the image data of the target tissue includes: and when the image data of the object organization has the corresponding current label identification, updating the current label identification corresponding to the image data of the object organization by using the object organization label.
Specifically, the current tag identifier of the image data of the object tissue may be a default initial tag identifier or a modified tag identifier, and at this time, when the object tissue needs to be managed, after the medical image processing device receives the new tag identifier, the current tag identifier of the corresponding tissue is updated to the new tag identifier, so that the display effect of the object tissue changes, and a doctor can conveniently perform diagnosis.
In one embodiment, the tissue image processing method includes at least one of:
when the organization tag setting instruction is an organization tag setting instruction corresponding to an organization adding operation, the object organization tag identification is different from the existing tag identification;
and when the organization tag setting instruction is the organization tag setting instruction corresponding to the organization deleting operation, the object organization tag identification is a preset initial tag identification.
Specifically, as shown in fig. 2, for example, 3 × 3 tissue image data, there is a corresponding label identifier data of 3 × 3 size, the tissue image data includes a bed plate X, a tissue a, a tissue B, and a tissue C, and the label identifiers corresponding to all the tissue image data are defaulted to 1.
When the doctor needs to observe the tissue A, the medical image processing device updates the current tag identifier 1 of the tissue A into a new tag identifier 2 according to the corresponding tissue tag setting instruction, so that the display effect of the tissue A is different from that of other tissues, and observation is facilitated. In addition, according to actual needs, a suitable tag identifier may be selected to change the display state of the organization a, for example: and the visibility, transparency, color and the like of the organization can be changed correspondingly by setting the corresponding label identification.
When the tissue B needs to be observed at the same time, a doctor performs the operation of adding and displaying the tissue B, and the medical image processing device updates the current tag identifier 1 of the tissue B into the new tag identifier 3 according to the corresponding tissue tag setting instruction, so that the display effect of the tissue B is different from that of other tissues, and the observation is convenient.
After the doctor finishes observing the tissue a, the doctor performs an operation of deleting (non-highlighting) the tissue a, and the medical image processing apparatus updates the current tag identification 2 of the tissue a to the default initial tag identification 1 according to the corresponding tissue tag setting instruction.
In this embodiment, when a doctor needs to observe a new tissue, the corresponding current tag identifier is updated, and after the doctor finishes observing the tissue, the corresponding current tag identifier is set as a default initial tag, so that the display effect of the observed object tissue is different from that of other tissues, and the doctor can conveniently observe and diagnose.
In one embodiment, the tissue image processing method includes at least one of:
when the organization tag setting instruction is an organization tag setting instruction corresponding to organization merging operation, the object organization tag identification is the same as one of the tag identifications corresponding to each organization type identification to be merged;
when the organization tag setting instruction is the organization tag setting instruction corresponding to the organization splitting operation, the organization splitting operation comprises a first preset number of organization type identifications, the first preset number is two or more, the object organization tag identification comprises a second preset number of tag identifications, and the second preset number is smaller than or equal to the first preset number.
Specifically, referring to fig. 2, when the tissue a and the tissue B need to be merged, the medical image processing apparatus sets the current tag identifiers of the tissue a and the tissue B to be the same tag identifier (the current tag identifier 2 of the tissue a or the current tag identifier 3 of the tissue B) according to the corresponding tissue tag setting instruction, and the merged current tag identifiers of the tissue a and the tissue B are the same, and the display effect is also the same, so that the purpose of merging and observing the tissues is achieved.
When the tissue B needs to be split, the medical image processing device sets the current label identification of each tissue image data in the tissue B to be different label identifications 4, 5 and 6 according to the corresponding tissue label setting instruction, the current label identifications of each tissue image data of the split tissue B are different, the display effects of the current label identifications are different, and therefore the purpose of tissue splitting and observation is achieved.
It can be understood that, when the tissue splitting operation is required, the object tissue may be entirely split, that is, the display effect of each split sub-tissue is different. Taking splitting the tissue B in fig. 2 as an example, at this time, the tissue B includes three pieces of tissue image data, that is, the number of the tissue type identifiers is three, and the first preset number is 3; the label identifications are 4, 5 and 6, that is, the number of the label identifications is three, and each label identification is different, and the second preset number is 3.
Furthermore, the target tissue may be partially split, that is, the split partial sub-tissues have different display effects from the original tissue, and the display effects of the sub-tissues are different from each other. Taking splitting the tissue B in fig. 2 as an example, at this time, the label identifications of the three tissue image data of the split tissue B are 4, 5, and 3, that is, the second preset number is 2. In addition, the display effect of each divided sub-tissue may be the same, and taking splitting the tissue B in fig. 2 as an example, in this case, the labels of the three tissue image data of the split tissue B are 4, and 3, that is, the second preset number is 2.
The embodiment can combine or split different tissues and set corresponding different display effects, so that doctors can conveniently perform tissue combination observation or tissue splitting observation.
In one embodiment, when the organization tag setting instruction is an organization tag setting instruction corresponding to an organization clipping operation, the object organization tag identifier is a hidden tag identifier, and image data rendered by the rendering parameter corresponding to the hidden tag identifier is in a hidden state when displayed.
Specifically, taking the tissue a in fig. 2 as an example, the label identifier of the tissue a before cutting is 2, after the doctor performs the cutting operation on the tissue a, the medical image processing apparatus sets the current label identifier of the tissue a to be the label identifier 0 according to the corresponding tissue label setting instruction, and the image data rendered by the rendering parameter corresponding to the hidden label identifier 0 is in the hidden state when displayed, so that the tissue a is in the hidden state when displayed, which achieves the purpose of cutting and facilitates the doctor to observe.
In one embodiment, when the tissue tag setting instruction is a tissue tag setting instruction corresponding to a tissue locking operation, the method further includes the steps of: and setting the object organization label identification corresponding to the object organization type identification to be in a locking state.
Specifically, taking the example of locking the tissue B in fig. 2, after the doctor performs the locking operation on the tissue B, the medical image processing apparatus sets the tag identifier of the tissue B to be in the locked state (in the form of highlighted display and underlined in fig. 2) according to the corresponding tissue tag setting instruction, and the tag identifier in the locked state cannot be changed, so that the purpose of preventing the display state of the tissue B from being changed due to the misoperation is achieved.
In one embodiment, when there is no corresponding tag identifier for all the tissue image data, that is, the tag identifiers of all the tissue image data are all empty, in step S300, the setting the target tissue tag identifier as the tag identifier corresponding to the image data of the target tissue includes: and when the label mark corresponding to the image data of the object tissue is empty, adding the label mark of the object tissue as the label mark corresponding to the image data of the object tissue.
In this embodiment, the tag identifier being null may be set to correspond to a default rendering parameter, that is, when all tag identifiers organizing the image data are null, the rendering parameters are still the same, and the corresponding display effects are also still the same. When tissue image processing is carried out, different label identifications are set for different object tissues.
In one embodiment, the tissue image processing method includes at least one of:
when the organization tag setting instruction is an organization tag setting instruction corresponding to an organization adding operation, the object organization tag identification is different from the existing tag identification;
and when the organization tag setting instruction is the organization tag setting instruction corresponding to the organization deleting operation, the object organization tag identification is null.
Specifically, as shown in fig. 3, similarly, taking 3 × 3 tissue image data as an example, all the corresponding tag identification data are null, and when the tissue a needs to be observed, the current tag identification corresponding to the tissue a is set to 1, and the tag identifications of other image data are still null.
And when the organization B still needs to be observed, setting the current label identification corresponding to the organization B to be 2.
And when the highlighted organization A needs to be deleted after the observation of the organization A is finished, setting the current label mark corresponding to the organization A to be null.
In one embodiment, the tissue image processing method includes at least one of:
when the organization tag setting instruction is an organization tag setting instruction corresponding to organization merging operation, the object organization tag identification is the same as one of the tag identifications corresponding to each organization type identification to be merged;
when the organization tag setting instruction is the organization tag setting instruction corresponding to the organization splitting operation, the organization splitting operation comprises a first preset number of organization type identifications, the first preset number is two or more, the object organization tag identification comprises a second preset number of tag identifications, and the second preset number is smaller than or equal to the first preset number.
Specifically, referring to fig. 3, when it is necessary to merge the tissue a and the tissue B, the medical image processing apparatus sets the current tag identifications of the tissue a and the tissue B to the same tag identification (the current tag identification 1 of the tissue a or the current tag identification 2 of the tissue B) according to the corresponding tissue tag setting instruction.
When the tissue B needs to be split, the medical image processing device sets the current tag identification of each tissue image data in the tissue B to be different tag identifications 3, 4 and 5 according to the corresponding tissue tag setting instruction.
It can be understood that, when the tissue splitting operation is required, the object tissue may be entirely split, that is, the display effect of each split sub-tissue is different. Taking splitting the tissue B in fig. 3 as an example, at this time, the tissue B includes three pieces of tissue image data, that is, the number of the tissue type identifiers is three, and the first preset number is 3; the label identifications are 3, 4 and 5, namely the number of the label identifications is three, each label identification is different, and the second preset number is 3.
Furthermore, the target tissue may be partially split, that is, the split partial sub-tissues have different display effects from the original tissue, and the display effects of the sub-tissues are different from each other. Taking splitting the tissue B in fig. 3 as an example, at this time, the label identifications of the three tissue image data of the split tissue B are 3, 4, and 2, that is, the second preset number is 2. In addition, the display effect of each split sub-tissue may also be the same, taking splitting the tissue B in fig. 3 as an example, at this time, the label identifiers of the three tissue image data of the split tissue B are 3, and 2, that is, the second preset number is 2.
In one embodiment, when the organization tag setting instruction is an organization tag setting instruction corresponding to an organization clipping operation, the object organization tag identifier is a hidden tag identifier, and image data rendered by the rendering parameter corresponding to the hidden tag identifier is in a hidden state when displayed.
Specifically, for example, tissue a in fig. 3 is cut, the label identifier of tissue a before cutting is 1, after a doctor performs a cutting operation on tissue a, the medical image processing apparatus sets the current label identifier of tissue a to be hidden label identifier 0 according to a corresponding tissue label setting instruction, and image data rendered by a rendering parameter corresponding to hidden label identifier 0 is in a hidden state when displayed, so that tissue a is in a hidden state when displayed, which achieves the purpose of cutting and facilitates observation by the doctor.
In one embodiment, when the tissue tag setting instruction is a tissue tag setting instruction corresponding to a tissue locking operation, the method further includes the steps of: and setting the object organization label identification corresponding to the object organization type identification to be in a locking state.
Specifically, taking the example of locking the tissue B in fig. 3 as an example, after the doctor performs the locking operation on the tissue B, the medical image processing apparatus sets the tag identifier of the tissue B to be in the locked state (in the form of highlighted display and underlined in fig. 2) according to the corresponding tissue tag setting instruction, and the tag identifier in the locked state cannot be changed, so that the purpose of preventing the display state of the tissue B from being changed due to the misoperation is achieved.
In one embodiment, as shown in fig. 4, after the target tissue tag identifier is set as the tag identifier corresponding to the image data of the target tissue, the tissue image processing method further includes:
and step S400, rendering the image data of the tissue type corresponding to each label identification by adopting the rendering parameters corresponding to each label identification, and displaying the image data of each corresponding tissue type.
After receiving the tissue tag setting instruction and setting the tag identifier of the object tissue according to the object tissue type identifier and the object tissue tag identifier in the tissue tag setting instruction, rendering the image data of the tissue type corresponding to each tag identifier by adopting the rendering parameters corresponding to each tag identifier and displaying the image data of each corresponding tissue type, so that a doctor can perform analysis and diagnosis according to the displayed tissue image.
In the above embodiments, when setting the tag for organizing the image data, 0 to 6 are merely an example of the tag identifier, and other types of tag identifiers may be used in the actual processing. In addition, the above-described processing method for two-dimensional image data is also applicable to three-dimensional image data, for example: as shown in fig. 5, after the setting of the tag identifier is completed for the three-dimensional tissue image data and the tag identifier data of the corresponding size, the tissue image data of the corresponding position is rendered and displayed according to the tag identifier.
In one embodiment, the tissue images obtained through different operation processes may be displayed through one window or through a plurality of windows. In addition, when displaying, the image data display methods adopted by different windows can be the same or different, and doctors can obtain different display results of different tissues through different display methods according to own needs, so that the diagnosis accuracy and the diagnosis efficiency are improved. The tissue image data display method includes: MPR, CPR, VRT, MIP, MinIP, SSD), CTVE, and the like.
It should be understood that, although the steps in the flowcharts of fig. 1 and 4 are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 1 and 4 may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of performing the sub-steps or stages is not necessarily sequential, but may be performed alternately or alternately with other steps or at least some of the sub-steps or stages of other steps.
In one embodiment, as shown in fig. 6, a tissue image processing apparatus is provided, which includes a data acquisition module 100, an instruction receiving module 200, and a tag setting module 300.
Specifically, the data acquisition module 100 is configured to acquire tissue image data; the instruction receiving module 200 is configured to receive an organization tag setting instruction, where the organization tag setting instruction includes an object organization type identifier and an object organization tag identifier corresponding to the object organization type identifier; the tag setting module 300 is configured to obtain image data of an object tissue corresponding to the object tissue type identifier according to the tissue image data, and set the object tissue tag identifier as a tag identifier corresponding to the image data of the object tissue, where the tag identifier is used to determine a rendering parameter for rendering the image data of the corresponding tissue type in the tissue image data.
In one embodiment, referring to fig. 6, the tissue image processing apparatus further includes an image display module 400, and the image display module 400 is configured to render the image data of the tissue type corresponding to each tag identifier by using the rendering parameter corresponding to each tag identifier, and display the image data of each corresponding tissue type.
For specific limitations of the tissue image processing device, reference may be made to the above limitations of the tissue image processing method, which are not described herein again. The respective modules in the above tissue image processing apparatus may be wholly or partially implemented by software, hardware, and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program: acquiring tissue image data; receiving an organization tag setting instruction, wherein the organization tag setting instruction comprises an object organization type identifier and an object organization tag identifier corresponding to the object organization type identifier; and according to the organization image data, acquiring the image data of the object organization corresponding to the object organization type identification, and setting the object organization label identification as the label identification corresponding to the image data of the object organization, wherein the label identification is used for determining the rendering parameter for rendering the image data of the corresponding organization type in the organization image data.
In one embodiment, the processor, when executing the computer program, further performs the steps of: when the label mark corresponding to the image data of the object tissue is empty, adding the label mark of the object tissue as the label mark corresponding to the image data of the object tissue;
and when the image data of the object organization has the corresponding current label identification, updating the current label identification corresponding to the image data of the object organization by using the object organization label.
In one embodiment, the processor, when executing the computer program, further implements at least one of:
when the organization tag setting instruction is an organization tag setting instruction corresponding to an organization adding operation, the object organization tag identification is different from the existing tag identification;
when the organization tag setting instruction is the organization tag setting instruction corresponding to the organization deleting operation, the object organization tag identification is null, or the object organization tag identification is a preset initial tag identification.
In one embodiment, the processor, when executing the computer program, further implements at least one of:
when the organization tag setting instruction is an organization tag setting instruction corresponding to organization merging operation, the object organization tag identification is the same as one of the tag identifications corresponding to each organization type identification to be merged;
when the organization tag setting instruction is the organization tag setting instruction corresponding to the organization splitting operation, the organization splitting operation comprises a first preset number of organization type identifications, the first preset number is two or more, the object organization tag identification comprises a second preset number of tag identifications, and the second preset number is smaller than or equal to the first preset number.
In one embodiment, the processor, when executing the computer program, further performs the steps of: and setting the object organization label identification corresponding to the object organization type identification to be in a locking state.
In one embodiment, the processor, when executing the computer program, further performs the steps of: rendering the image data of the tissue type corresponding to each label identification by adopting the rendering parameters corresponding to each label identification, and displaying the image data of each corresponding tissue type.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of: acquiring tissue image data; receiving an organization tag setting instruction, wherein the organization tag setting instruction comprises an object organization type identifier and an object organization tag identifier corresponding to the object organization type identifier; and according to the organization image data, acquiring the image data of the object organization corresponding to the object organization type identification, and setting the object organization label identification as the label identification corresponding to the image data of the object organization, wherein the label identification is used for determining the rendering parameter for rendering the image data of the corresponding organization type in the organization image data.
In one embodiment, the computer program when executed by the processor further performs the steps of: when the label mark corresponding to the image data of the object tissue is empty, adding the label mark of the object tissue as the label mark corresponding to the image data of the object tissue; and when the image data of the object organization has the corresponding current label identification, updating the current label identification corresponding to the image data of the object organization by using the object organization label.
In one embodiment, the computer program when executed by the processor further performs at least one of:
when the organization tag setting instruction is an organization tag setting instruction corresponding to an organization adding operation, the object organization tag identification is different from the existing tag identification;
when the organization tag setting instruction is the organization tag setting instruction corresponding to the organization deleting operation, the object organization tag identification is null, or the object organization tag identification is a preset initial tag identification.
In one embodiment, the computer program when executed by the processor further performs at least one of:
when the organization tag setting instruction is an organization tag setting instruction corresponding to organization merging operation, the object organization tag identification is the same as one of the tag identifications corresponding to each organization type identification to be merged;
when the organization tag setting instruction is the organization tag setting instruction corresponding to the organization splitting operation, the organization splitting operation comprises a first preset number of organization type identifications, the first preset number is two or more, the object organization tag identification comprises a second preset number of tag identifications, and the second preset number is smaller than or equal to the first preset number.
In one embodiment, the computer program when executed by the processor further performs the steps of: and setting the object organization label identification corresponding to the object organization type identification to be in a locking state.
In one embodiment, the computer program when executed by the processor further performs the steps of: rendering the image data of the tissue type corresponding to each label identification by adopting the rendering parameters corresponding to each label identification, and displaying the image data of each corresponding tissue type.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware related to instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, the computer program can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A tissue image processing method, comprising:
acquiring tissue image data and displaying a tissue image according to the tissue image data;
receiving an organization label setting instruction sent according to the displayed organization image, wherein the organization label setting instruction comprises an object organization type identifier and an object organization label identifier corresponding to the object organization type identifier;
and acquiring image data of the object tissue corresponding to the object tissue type identifier according to the tissue image data, and setting the object tissue label identifier as a label identifier corresponding to the image data of the object tissue, wherein the label identifier is used for determining a rendering parameter for rendering the image data of the corresponding tissue type in the tissue image data.
2. The tissue image processing method according to claim 1, wherein the setting of the object tissue tag identifier as a tag identifier corresponding to the image data of the object tissue includes:
when the label identification corresponding to the image data of the object tissue is empty, adding the label identification of the object tissue as the label identification corresponding to the image data of the object tissue;
and when the image data of the object tissue has the corresponding current label identification, updating the current label identification corresponding to the image data of the object tissue by using the object tissue label.
3. The tissue image processing method according to claim 1, comprising at least one of:
when the organization tag setting instruction is an organization tag setting instruction corresponding to an organization adding operation, the object organization tag identification is different from the existing tag identification;
when the organization tag setting instruction is an organization tag setting instruction corresponding to an organization deleting operation, the object organization tag identification is null, or the object organization tag identification is a preset initial tag identification.
4. The tissue image processing method according to claim 1, comprising at least one of:
when the organization tag setting instruction is an organization tag setting instruction corresponding to an organization merging operation, the object organization tag identification is the same as one of the tag identifications corresponding to each organization type identification to be merged;
when the organization tag setting instruction is the organization tag setting instruction corresponding to the organization splitting operation, the organization splitting operation comprises organization type identifications of a first preset number, the first preset number is two or more, the object organization tag identifications comprise tag identifications of a second preset number, and the second preset number is smaller than or equal to the first preset number.
5. The tissue image processing method according to claim 1, wherein when the tissue tag setting instruction is a tissue tag setting instruction corresponding to a tissue clipping operation, the object tissue tag identifier is a hidden tag identifier, and image data rendered by a rendering parameter corresponding to the hidden tag identifier is in a hidden state when displayed.
6. The tissue image processing method according to claim 1, wherein when the tissue label setting instruction is a tissue label setting instruction corresponding to a tissue locking operation, the method further comprises the steps of: and setting the object organization label identification corresponding to the object organization type identification to be in a locking state.
7. The tissue image processing method according to claim 1, wherein after the setting of the object tissue tag identifier as the tag identifier corresponding to the image data of the object tissue, further comprising:
rendering the image data of the tissue type corresponding to each label identification by adopting the rendering parameters corresponding to each label identification, and displaying the image data of each corresponding tissue type.
8. A tissue image processing apparatus characterized by comprising:
the data acquisition module is used for acquiring tissue image data and displaying a tissue image according to the tissue image data;
the instruction receiving module is used for receiving an organization label setting instruction sent according to the displayed organization image, wherein the organization label setting instruction comprises an object organization type identifier and an object organization label identifier corresponding to the object organization type identifier;
and the tag setting module is used for acquiring the image data of the object tissue corresponding to the object tissue type identifier according to the tissue image data, and setting the object tissue tag identifier as the tag identifier corresponding to the image data of the object tissue, wherein the tag identifier is used for determining rendering parameters for rendering the image data of the corresponding tissue type in the tissue image data.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the tissue image processing method according to any one of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the tissue image processing method according to any one of claims 1 to 7.
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