CN115760741A

CN115760741A - Image display method and device and storage medium

Info

Publication number: CN115760741A
Application number: CN202211403865.3A
Authority: CN
Inventors: 张志伟
Original assignee: Neusoft Medical Systems Co Ltd
Current assignee: Neusoft Medical Systems Co Ltd
Priority date: 2022-11-10
Filing date: 2022-11-10
Publication date: 2023-03-07

Abstract

The application discloses an image display method, an image display device and a storage medium, wherein the method comprises the following steps: determining a target region of interest in response to a user's selection operation for the region of interest in the target MPR image based on the target MPR image of the target object currently displayed on the display interface; obtaining an initial threshold range based on the target region of interest identification; responding to dynamic adjustment operation of a user aiming at the initial threshold range to obtain a target threshold range; performing three-dimensional region growing processing based on the target threshold range and each MPR image of the target object to obtain a three-dimensional type target segmentation image corresponding to the target object; and displaying the target segmentation image. According to the method and the device, the initial threshold range is dynamically adjusted, the target threshold range can be flexibly and accurately obtained, and subsequently, the image can be accurately segmented based on the adjusted target threshold range, so that the segmented image can be accurately displayed.

Description

Image display method and device and storage medium

Technical Field

The present invention relates to the field of medical image processing technologies, and in particular, to an image display method, an image display apparatus, and a storage medium.

Background

Image segmentation technology is widely applied in medical image processing, and focus information statistics including volume and numerical statistics can be facilitated by extracting and segmenting medical images and independently displaying the medical images.

Conventional image segmentation methods generally include the following:

1. and (4) purely manually dividing. The manual segmentation depends on manual work, a user needs to process images according to own experience, images corresponding to all scanning layers need to be processed, the number of image sets needing to be segmented is generally large, but the manual segmentation of the images has low efficiency and poor repeatability, and the manual segmentation of the images cannot be applied to actual clinical application.

2. Interactive semi-automatic scoring. The method is assisted to a certain extent by an algorithm, for example, a user inputs some threshold values, image segmentation is carried out based on the fixed threshold values, although the segmentation efficiency is improved to a certain extent, the method has the problems that the threshold values are fixed, the threshold values cannot be dynamically adjusted, and further the image segmentation result is not flexible enough and not accurate enough.

3. And (6) full-automatic cutting. Many traditional full-automatic methods exist, and at present, deep learning training is mostly adopted to obtain a segmentation model, and then image segmentation is carried out based on the segmentation model. The segmentation model for deep learning is obtained by training specific scenes, so that the method cannot be applied to all scenes, and has certain limitation.

Due to the adoption of the image segmentation method, the target threshold value cannot be flexibly and accurately adjusted, so that the image segmentation is inflexible, the segmentation result is inaccurate, and the display of the subsequent segmented image is inaccurate.

Therefore, an image display method is needed to solve the problem of inaccurate image display in the prior art.

Disclosure of Invention

In view of the above, the present invention provides an image display method, an image display apparatus and a storage medium, and mainly aims to solve the problem of inaccurate image display in the prior art.

In order to solve the above problem, the present application provides an image display method, including:

determining a target region of interest in response to a user's selection operation for the region of interest in a target MPR image based on the target MPR image of a target object currently displayed on a display interface;

obtaining an initial threshold range based on the target region of interest identification;

responding to the dynamic adjustment operation of the user aiming at the initial threshold range to obtain a target threshold range;

performing three-dimensional region growing processing based on the target threshold range and each MPR image of the target object to obtain a three-dimensional type target segmentation image corresponding to the target object;

and displaying the target segmentation image.

Optionally, before determining the region of interest, the image display method further includes: determining the target MPR image specifically includes:

acquiring MPR images corresponding to each scanning layer;

and responding to the selected operation of the user on any MPR image in the MPR images to determine at least one target MPR image.

Optionally, the obtaining a target threshold range in response to a dynamic adjustment operation of the user for the initial threshold range specifically includes:

performing region growing processing based on the initial threshold range in the currently displayed target MPR image to obtain an initial segmentation image and displaying the initial segmentation image;

judging whether the initial segmentation image meets preset segmentation conditions or not;

under the condition that the initial segmentation image is determined not to meet the segmentation condition, responding to the dynamic adjustment operation of a user aiming at the initial threshold range, and obtaining a current threshold range; until the current segmentation image obtained by region growing based on the current threshold range meets the segmentation condition, taking the current threshold range corresponding to the current segmentation image meeting the segmentation condition as the target threshold range;

and taking the initial threshold range as the target threshold range when the initial segmentation image meets the segmentation condition.

Optionally, before the current threshold range is obtained in response to a dynamic adjustment operation of the user for the initial threshold range, the image display method further includes;

determining initial window width information and initial window level information corresponding to the initial threshold range based on the initial threshold range, and displaying the initial window width information and the initial window level information;

the obtaining a current threshold range in response to the dynamic adjustment operation of the user for the initial threshold range specifically includes:

responding to dynamic adjustment operation of a user according to the initial segmentation image and aiming at the initial window width information and/or the initial window level information to obtain current window width information and/or window level information;

obtaining the current threshold range based on the current window width information and/or window level information.

Optionally, before performing the region growing process based on the initial threshold range, the image display method further includes:

and responding to the selected operation of the user for the segmentation range, and obtaining a target region range for limiting the region growing range.

Optionally, the performing three-dimensional region growing processing based on the target threshold range and each MPR image of the target object to obtain a three-dimensional type target segmentation image corresponding to the target object specifically includes:

performing region growing on each MPR image based on the target threshold range to obtain a first segmentation image corresponding to each MPR image;

and obtaining the three-dimensional type target segmentation image based on each first segmentation image.

Optionally, the displaying the target segmentation image specifically includes:

extracting and obtaining each increasing path of region increase by adopting a preset image thinning algorithm based on the target segmentation image;

and dynamically displaying the growth path in the target segmentation image.

Optionally, after dynamically displaying the growth path in the target segmentation image, the image display method further includes:

and responding to the cutting-off operation of the user aiming at the unnecessary growth paths in each growth path to remove the unnecessary growth paths.

In order to solve the above problem, the present application provides an image processing apparatus comprising:

the determination module is used for determining a target region of interest in response to a user's selection operation for the region of interest in a target MPR image of a target object currently displayed on a display interface;

the identification module is used for identifying and obtaining an initial threshold range based on the target region of interest;

the adjusting module is used for responding to the dynamic adjusting operation of the user aiming at the initial threshold range to obtain a target threshold range;

an obtaining module, configured to perform three-dimensional region growing processing based on the target threshold range and each MPR image of the target object, and obtain a three-dimensional type target segmentation image corresponding to the target object;

and the display module is used for displaying the target segmentation image.

In order to solve the above problem, the present application provides a storage medium storing a computer program that realizes the steps of the image display method according to any one of the above when executed by a processor.

In order to solve the above problem, the present application provides an electronic device, which at least includes a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the image display method according to any one of the above items when executing the computer program on the memory.

According to the image display method, the image display device and the storage medium, the initial threshold range can be rapidly determined based on the target region of interest selected by the user, the target threshold range can be flexibly and accurately obtained by dynamically adjusting the initial threshold range, and then the image can be accurately segmented based on the adjusted target threshold range, so that the segmented image can be accurately displayed.

The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.

Drawings

Various additional advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:

FIG. 1 is a flowchart illustrating an image display method according to an embodiment of the present disclosure;

FIG. 2 is a schematic illustration of a selected target area range in another embodiment of the present application;

FIG. 3 is a schematic view of a target region of interest in a further embodiment of the present application;

FIG. 4 is a schematic diagram of an initial segmented image according to another embodiment of the present application;

FIG. 5 is a schematic diagram of a segmented target image according to yet another embodiment of the present application;

FIG. 6 is a schematic view of an image display device according to another embodiment of the present application;

fig. 7 is a schematic structural diagram of an electronic device according to another embodiment of the present application.

Detailed Description

Various aspects and features of the present application are described herein with reference to the drawings.

It will be understood that various modifications may be made to the embodiments of the present application. Accordingly, the foregoing description should not be construed as limiting, but merely as exemplifications of embodiments. Those skilled in the art will envision other modifications within the scope and spirit of the application.

The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate embodiments of the application and, together with a general description of the application given above and the detailed description of the embodiments given below, serve to explain the principles of the application.

These and other characteristics of the present application will become apparent from the following description of a preferred form of embodiment, given as a non-limiting example, with reference to the attached drawings.

It is also to be understood that although the present application has been described with reference to some specific examples, those skilled in the art are able to ascertain many other equivalents to the practice of the present application.

The above and other aspects, features and advantages of the present application will become more apparent in view of the following detailed description when taken in conjunction with the accompanying drawings.

Specific embodiments of the present application are described hereinafter with reference to the drawings; however, it is to be understood that the disclosed embodiments are merely exemplary of the application, which can be embodied in various forms. Well-known and/or repeated functions and constructions are not described in detail to avoid obscuring the application of unnecessary or unnecessary detail. Therefore, specific structural and functional details disclosed herein are not to be interpreted as limiting, but merely as a basis for the claims and as a representative basis for teaching one skilled in the art to variously employ the present application in virtually any appropriately detailed structure.

The specification may use the phrases "in one embodiment," "in another embodiment," "in yet another embodiment," or "in other embodiments," which may each refer to one or more of the same or different embodiments in accordance with the application.

An embodiment of the present application provides an image processing method, as shown in fig. 1, including:

step S101, based on a target MPR image of a target object currently displayed on a display interface, responding to the selection operation of a user for an interested area in the target MPR image, and determining a target interested area;

in the specific implementation process of this step, because Multi-Planar Reconstruction (MPR) images corresponding to different scanning layers are obtained by scanning for different scanning layers, there are several MPR images. Therefore, the user can view each MPR image through the flip/flip operation, and then determine that the MPR image in which the target threshold range is determined by the image segmentation is the target MPR image.

After the target MPR image is determined, the target MPR image can be displayed on the display interface, and then the user can directly select the designated region through the mouse, so as to determine the target region of interest. By using a mouse to select the region, tissues which are not interested can be shielded, and a position which is convenient for image segmentation can be quickly obtained. The method lays a foundation for flexible and accurate image segmentation of the target MPR image based on the target ROI and subsequent image display.

In this step, the selection operation may be a click operation, a circle drawing operation, or the like. That is, a region range is defined in the currently displayed target MPR image by a mouse, so as to obtain a target region of interest, and the shape of the region range may be specifically a rectangle or a sphere, or an arbitrary polygon, etc.

Step S102, identifying and obtaining an initial threshold range based on the target region of interest;

in the specific implementation process of the step, the threshold value can be specifically identified by using an Otsu threshold value OSTU method, so that an initial threshold value range is obtained, a guarantee is provided for flexibly generating the current seed point by dynamically adjusting the initial threshold value range in the follow-up process, and a foundation is laid for flexibly adjusting the image segmentation result based on the adjusted current seed point in the follow-up process so as to improve the accuracy of the segmentation result.

Step S103, responding to the dynamic adjustment operation of the user aiming at the initial threshold range, and obtaining a target threshold range;

in the specific implementation process of the step, the process of adjusting the range of the obtained target threshold value is as follows:

step S1031 of performing, in the currently displayed target MPR image, region growing processing based on the initial threshold range to obtain an initial segmentation image and displaying the initial segmentation image;

step S1032, judging whether the initial segmentation image meets preset segmentation conditions or not;

in the specific implementation process of the step, a segmentation condition can be preset, and then the device automatically judges whether the initial segmentation image meets the segmentation condition. It is also possible to manually determine whether the currently displayed initial segmented image satisfies the segmentation condition.

Step S1033, under the condition that the initial segmentation image is determined not to meet the segmentation condition, responding to the dynamic adjustment operation of the user aiming at the initial threshold range, and obtaining a current threshold range; until the current segmentation image obtained by region growing based on the current threshold range meets the segmentation condition, and taking the current threshold range corresponding to the current segmentation image meeting the segmentation condition as the target threshold range;

step S1034, in a case where the initial segmentation image satisfies the segmentation condition, taking the initial threshold range as the target threshold range.

In this step, by adopting the manner of dynamically adjusting the threshold range, whether the target threshold range is adjusted to a suitable target threshold range is determined by using the segmented image obtained from the adjusted threshold range, so that the determination of the target threshold range is more flexible and accurate, and a guarantee is provided for flexible and accurate segmentation and display of the image based on the target threshold range.

Step S104, performing three-dimensional region growing processing based on the target threshold range and each MPR image of the target object to obtain a three-dimensional type target segmentation image corresponding to the target object;

in a specific implementation process, the MPR images may be simultaneously subjected to region growing based on the target threshold range, so as to obtain first segmented images corresponding to the MPR images; then, the three-dimensional type target segmented image is obtained based on each of the first segmented images.

And step S105, displaying the target segmentation image.

In the specific implementation process of the step, after a target segmentation image is obtained, each increase path of region increase can be extracted and obtained by adopting a preset image thinning algorithm based on the target segmentation image; and dynamically displaying the growth path in the target segmentation image.

In the image display method in this embodiment, the initial threshold range can be quickly determined based on the target region of interest selected by the user, the target threshold range can be flexibly and accurately obtained by dynamically adjusting the initial threshold range, and subsequently, image segmentation can be accurately performed based on the adjusted target threshold range, so that accurate display of a segmented image is realized.

Another embodiment of the present application provides an image display method, including the steps of:

step S201, acquiring MPR images corresponding to each scanning layer;

in this step, the scanning layer may include different scanning layers in a plurality of scanning directions, such as a transverse direction, a sagittal direction, and a coronal direction, for example.

Step S202, responding to the user' S selection operation for any MPR image in each MPR image to determine at least one target MPR image;

in this step, the MPR images may be displayed one by one in response to the user's flipping operation for each MPR image, so that the user may select a target MPR image from each MPR image. The user may then be asked to select an action for the MPR image to determine the target MPR image. In this step, the user selects a suitable target MPR image from the MPR images corresponding to different layers by adjusting the image position and the image layer, so that image segmentation can be accurately performed based on the target MPR image, and a guarantee is provided for accurately adjusting and obtaining the target threshold range.

Step S203, responding to the selection operation of the user aiming at the segmentation range, and obtaining a target region range for limiting a region growing range;

in the specific implementation process of this step, as shown in fig. 2, a user may determine a target region range a through a selection operation to reduce an image segmentation range, and when performing image segmentation subsequently, may perform segmentation in the target region a in the target MPR image, so as to facilitate an express determination of whether an image segmentation result reaches an expected effect/preset segmentation condition, without waiting until the entire target MPR image is completely segmented and determining whether the segmentation condition is met, and then perform an image threshold range adjustment, thereby shortening an adjustment time of the threshold range, and thus laying a foundation for obtaining a final target threshold range through subsequent rapid adjustment.

Step S204, aiming at the target area range, responding to the selection operation of the user aiming at the interested area in the target area range, and determining a target interested area;

in this step, as shown in fig. 3, the target region of interest b may be selected by using a mouse to perform a delineation operation within the target region, so that a position convenient for segmentation may be rapidly determined, and in this way, tissues not of interest may be shielded by manual selection, and then the designated region may be directly selected by using the mouse.

Step S205, identifying and obtaining an initial threshold range based on the target region of interest;

in the specific implementation process of the step, the threshold value is identified by selecting the designated region of interest and adopting a threshold value identification method of the Otsu threshold value OSTU, the identification result of the optimal threshold value is obtained, and then the initial threshold value range is obtained based on the optimal threshold value. In the step, the optimal threshold region is selected according to the region of interest selected by the user instead of selecting one point, so that a foundation is laid for accurately segmenting the image subsequently.

Step S206, generating an initial seed point based on the initial threshold range;

in the specific implementation process of the step, the position information of the growing position can be obtained by responding to the selection operation of the user aiming at the growing position; the initial seed point is then generated based on the initial threshold range and the location information.

Step S207, performing region growing processing based on the initial seed point in the currently displayed target MPR image to obtain an initial segmentation image and displaying the initial segmentation image;

in this step, a point having similar characteristics to the initial seed point may be determined according to a predetermined growth rule, and then the point is added to the segmentation result, so as to obtain an initial segmentation image. Where growth rules may be based on gray scale information, texture information, and the like. By performing image segmentation and image display based on the initial seed points, a user can quickly know whether the initial segmentation result reaches the expected segmentation effect and the deviation condition between the initial segmentation result and the expected segmentation effect. And a foundation is laid for adjusting the initial threshold range and obtaining the target threshold range based on the initial segmentation image. That is, by performing region growing based on the identified threshold, image segmentation is performed within the target region range (tissue region a) determined in step S203 to obtain the tissue region B, and this image segmentation process is only performed within the range visible to the user and is performed for distinguishing, that is, image segmentation is performed on the visible and current layer, so that the image segmentation speed is relatively high, the image segmentation efficiency is improved, and further, it is ensured that the target region range is obtained quickly in the following process. The existing technical method is increased in three dimensions, and has the disadvantages of slow segmentation speed, low efficiency and insufficient flexibility.

In this step, when displaying the image, in order to make the display of the segmentation result of the image clearer, the target area and the non-target area in the initial segmentation image may be displayed in real time according to different display colors. That is, the tissue obtained by the increase in window width may be displayed in a specific color, one tissue in a specific solid color, plus a specific transparency, such that two tissue regions (target region and non-target region) are distinguished according to the user's selection, plus a threshold, one being a displayed in a specific color, e.g., a non-target region is displayed in red in fig. 4; the other is B displayed in a specific color, and the target area is displayed in blue as in fig. 4. Wherein the target region refers to a region identified by region growing.

Further, when image segmentation is performed based on the seed points, a real-time segmented image corresponding to each time can be obtained. And then displaying each real-time segmentation image in real time so as to dynamically display the segmentation process.

Step S208, judging whether the initial segmentation image meets a preset segmentation condition; in a case where it is determined that the initial divided image does not satisfy the division condition, step S209 is performed; in a case where the initial segmentation image satisfies the segmentation condition, performing step S210;

step S209, responding to the dynamic adjustment operation of the user aiming at the initial threshold range, and obtaining the current threshold range; until the current segmentation image obtained by region growing based on the current threshold range meets the segmentation condition, and taking the current threshold range corresponding to the current segmentation image meeting the segmentation condition as the target threshold range;

in the specific implementation process of this step, the process of obtaining the target threshold range in response to the dynamic adjustment operation of the user for the initial threshold range is as follows:

step S2091, determining initial window width information and initial window level information corresponding to the initial threshold range based on the initial threshold range, and displaying the initial window width information and the initial window level information;

in this step, since the display interface cannot directly display the threshold range, and only the window width information and the window level information can be displayed, after the current initial threshold range is obtained, the user cannot know the threshold range, so that the threshold range can be converted into the corresponding window width information and the corresponding window level information, so as to be displayed on the display interface. Subsequent users can convert the adjusted window width information and window level information into corresponding current threshold value ranges by adjusting the window width information and/or the window level information, so that dynamic adjustment aiming at the threshold value ranges is realized. And then, the current seed point can be generated based on the adjusted current threshold range, and a foundation is laid for image segmentation based on the current seed point.

Step S2092, responding to the dynamic adjustment operation of the user according to the initial segmentation image and aiming at the initial window width information and/or the initial window level, and obtaining the adjusted current window width information and/or the adjusted current window level information;

step S2093, determining an updated current threshold range based on the current window width information and/or the current window level information;

step S2094, taking the updated current threshold range as an initial threshold range, and re-executing step S206; until an initial segmentation image obtained based on an initial threshold range satisfies the segmentation condition;

step S210, taking the initial threshold range as the target threshold range;

a step S211 of performing region growing on each MPR image based on the target threshold range, and obtaining a first segmented image corresponding to each MPR image; obtaining a target segmentation image of the three-dimensional type based on each first segmentation image;

in a specific implementation process, before obtaining the first segmented images corresponding to each scanning layer, the step may perform partial region growing on each MPR image based on the target threshold range to obtain partial first segmented images corresponding to each scanning layer; then responding to page turning operation of a user aiming at each part of the first segmentation images, and dynamically confirming whether the segmentation result of each part of the first segmentation images meets the requirement/preset segmentation condition requirement layer by layer; and if the acquired result meets the requirement, responding to the confirmation operation of the user to perform overall region growing and acquiring a first segmentation image corresponding to each MPR image. The target segmentation image in this embodiment may be as shown in fig. 5.

Step S212, based on the target segmentation image, extracting and obtaining each growth path of region growth by adopting a preset image thinning algorithm; and dynamically displaying each growth path in the target segmentation image.

In this step, the predetermined image thinning algorithm may include any one of: skeletonization algorithms, hilditch algorithms, pavlidis algorithms, and Rosenfeld algorithms. Taking the skeletonization algorithm as an example, when the region is grown, the skeletonization algorithm is adopted to dynamically display each growing path, and if a certain unnecessary growing path is not in an expected range, the user can respond to the cutting operation of the unnecessary growing path to cut the growing path so as to remove the unnecessary growing path cutting operation. That is, the user can cut off the growth path at the interface click position, and then grow again based on the seed point, so that the excess tissue cannot be grown, and the excess growth part is completely removed. Because some tissues are grown more, the removal of the surplus growth portion by manually removing the surplus growth portion is inefficient, and the removal of the surplus growth portion can be performed at one time by using the method for cutting the path.

In the image display method in this embodiment, the initial threshold range can be quickly determined based on the target region of interest selected by the user, the target threshold range can be flexibly and accurately obtained by dynamically adjusting the initial threshold range, and subsequently, the image can be accurately segmented based on the adjusted target threshold range, so that the segmented image can be accurately displayed.

Another embodiment of the present application provides an image display apparatus, as shown in fig. 6, including:

a determining module 11, configured to determine a target region of interest in response to a user's selection operation on a region of interest in a target MPR image of a target object currently displayed on a display interface;

an identification module 12, configured to identify and obtain an initial threshold range based on the target region of interest;

an adjusting module 13, configured to respond to a dynamic adjustment operation of a user for the initial threshold range, and obtain a target threshold range;

an obtaining module 14, configured to perform three-dimensional region growing processing based on the target threshold range and each MPR image of the target object, and obtain a three-dimensional type target segmentation image corresponding to the target object;

and the display module 15 is configured to display the target segmentation image.

In a specific implementation process of this embodiment, the image display apparatus further includes an image determining module, where the image determining module is configured to: acquiring an MPR image corresponding to each scanning layer before determining the region of interest; and responding to the selected operation of the user on any MPR image in the MPR images to determine at least one target MPR image.

In a specific implementation process of this embodiment, the adjusting module is specifically configured to: performing region growing processing based on the initial threshold range in the currently displayed target MPR image to obtain an initial segmentation image and displaying the initial segmentation image;

In a specific implementation process of this embodiment, the image display device further includes a display window width and window level display module, where the window width and window level display module is configured to: before a current threshold range is obtained in response to a dynamic adjustment operation of a user for the initial threshold range, determining initial window width information and initial window level information corresponding to the initial threshold range based on the initial threshold range, and displaying the initial window width information and the initial window level information;

the adjustment module is specifically configured to: responding to dynamic adjustment operation of a user according to the initial segmentation image and aiming at the initial window width information and/or the initial window level information to obtain current window width information and/or window level information; and obtaining the current threshold range based on the current window width information and/or the window level information.

In a specific implementation process of this embodiment, the image display apparatus further includes a selection module, where the selection module is configured to: and before the region growing processing is carried out based on the initial threshold value range, responding to the selection operation of the user for the segmentation range, and obtaining a target region range for limiting the region growing range.

In a specific implementation process of this embodiment, the obtaining module is specifically configured to: performing region growing on each MPR image based on the target threshold range to obtain a first segmentation image corresponding to each MPR image; and obtaining the three-dimensional type target segmentation image based on each first segmentation image.

In a specific implementation process of this embodiment, the display module is specifically configured to: extracting and obtaining each increasing path of region increase by adopting a preset image thinning algorithm based on the target segmentation image; and dynamically displaying the growth path in the target segmentation image.

In a specific implementation process of this embodiment, the image display apparatus further includes: and the cutting-off module is used for responding to the cutting-off operation of a user aiming at unnecessary growth paths in the growth paths after the growth paths are dynamically displayed in the target segmentation image so as to remove the unnecessary growth paths.

According to the image display device, the initial threshold range can be rapidly determined through the target interesting region selected by the user, the target threshold range can be flexibly and accurately obtained through dynamic adjustment of the initial threshold range, and image segmentation can be accurately carried out subsequently based on the adjusted target threshold range, so that accurate display of the segmented image is realized.

Another embodiment of the present application provides a storage medium storing a computer program which, when executed by a processor, performs the method steps of:

step one, determining a target region of interest in a target MPR image in response to a user's selection operation for the region of interest in the target MPR image based on the target MPR image of a target object currently displayed on a display interface;

secondly, identifying and obtaining an initial threshold range based on the target region of interest;

step four, based on the target threshold range and each MPR image of the target object, performing three-dimensional region growing processing to obtain a three-dimensional type target segmentation image corresponding to the target object;

and fifthly, displaying the target segmentation image.

The specific implementation process of the above method steps can be referred to any embodiment of the image display method, and the detailed description of this embodiment is not repeated here.

According to the storage medium, the initial threshold range can be rapidly determined through the target region of interest selected by the user, the target threshold range can be flexibly and accurately obtained through dynamic adjustment of the initial threshold range, and image segmentation can be accurately carried out subsequently based on the adjusted target threshold range, so that accurate display of segmented images is achieved.

Another embodiment of the present application provides an electronic device, as shown in fig. 7, at least including a memory 1 and a processor 2, where the memory 1 stores a computer program thereon, and the processor 2, when executing the computer program on the memory 1, implements the following method steps:

and fifthly, displaying the target segmentation image.

According to the electronic equipment, the initial threshold range can be rapidly determined through the target interesting area selected by the user, the target threshold range can be flexibly and accurately obtained through dynamic adjustment of the initial threshold range, and image segmentation can be accurately carried out subsequently based on the adjusted target threshold range, so that accurate display of the segmented image is realized.

The above embodiments are only exemplary embodiments of the present application, and are not intended to limit the present application, and the protection scope of the present application is defined by the claims. Various modifications and equivalents may be made by those skilled in the art within the spirit and scope of the present application and such modifications and equivalents should also be considered to be within the scope of the present application.

Claims

1. An image display method, comprising:

and displaying the target segmentation image.

2. The method of claim 1, wherein prior to determining the region of interest, the method further comprises: determining the target MPR image specifically includes:

acquiring MPR images corresponding to all scanning layers;

and responding to the selected operation of the user for any MPR image in each MPR image to determine at least one target MPR image.

3. The method of claim 1, wherein the obtaining a target threshold range in response to a user's dynamic adjustment operation with respect to the initial threshold range comprises:

judging whether the initial segmentation image meets a preset segmentation condition or not;

4. The method of claim 3, wherein prior to obtaining a current threshold range in response to a user's dynamic adjustment operation with respect to the initial threshold range, the method further comprises;

5. The method of claim 3, wherein prior to performing region growing processing based on the initial threshold range, the method further comprises:

6. The method according to claim 1, wherein the performing three-dimensional region growing processing based on the target threshold range and each MPR image of the target object to obtain a three-dimensional type target segmentation image corresponding to the target object specifically comprises:

7. The method according to claim 1, wherein the displaying the target segmented image specifically comprises:

based on the target segmentation image, extracting and obtaining each growth path of region growth by adopting a preset image thinning algorithm;

and dynamically displaying the growth path in the target segmentation image.

8. The method of claim 1, wherein after dynamically displaying the growth path within the target segmented image, the method further comprises:

and responding to the cutting-off operation of a user aiming at the unnecessary growth path in each growth path to remove the unnecessary growth path.

9. An image display device is characterized by comprising,

the determination module is used for responding to the selection operation of a user on the interested region in the target MPR image and determining the target interested region based on the target MPR image of the target object currently displayed on the display interface;

and the display module is used for displaying the target segmentation image.

10. A storage medium, characterized in that the storage medium stores a computer program which, when executed by a processor, implements the steps of the image display method according to any one of claims 1 to 8.