CN114266848A - Medical image three-dimensional reconstruction method and device - Google Patents

Abstract

The invention provides a three-dimensional reconstruction method and a three-dimensional reconstruction device for a medical image, which relate to the technical field of medical image processing, are applied to a server and comprise the following steps: acquiring a target object from a medical image; responding to a first operation instruction to carry out three-dimensional reconstruction on a target plane of a target object, wherein the first operation instruction aims at a target position and a target angle of the target plane, and the target plane comprises an orthogonal tangent plane and an oblique tangent plane; responding to a second operation instruction to carry out three-dimensional reconstruction on the preset curved surface of the target object, wherein the second operation instruction aims at the preset curved surface of the target object; performing three-dimensional reconstruction on the target object based on the target point in response to a third operation instruction, wherein the third operation instruction is specific to the target point of the target object; and responding to a fourth operation instruction to carry out three-dimensional reconstruction on the target thick layer of the target object, wherein the fourth operation instruction aims at the target thick layer of the target object, and the target thick layer is determined based on the scanned image of the target object, so that the target object in the two-dimensional medical image can be accurately subjected to three-dimensional reconstruction.

Description

Medical image three-dimensional reconstruction method and device

technical field

The present invention relates to the technical field of medical image processing, in particular to a method and device for three-dimensional reconstruction of medical images.

Background technique

With the development and wide application of modern computer technology and medical imaging technology, medical image processing and analysis methods have been continuously improved, greatly improving the level of diagnosis and treatment. Due to the diverse shapes and complex structures of human tissues and organs, it is often difficult for medicine to accurately locate the lesions of patients only by observing two-dimensional images. Therefore, modern medicine has become inseparable from medical imaging, that is, medical imaging plays an increasingly important role in clinical diagnosis, teaching, and scientific research.

SUMMARY OF THE INVENTION

The purpose of the present invention is to provide a medical image three-dimensional reconstruction method and device, which can accurately perform three-dimensional reconstruction of a target object in a two-dimensional medical image.

In a first aspect, an embodiment of the present invention provides a three-dimensional reconstruction method for a medical image, which is applied to a server, including:

Obtain target objects from medical images;

performing three-dimensional reconstruction on the target plane of the target object in response to a first operation instruction, the first operation instruction is directed to a target position and a target angle of the target plane, and the target plane includes an orthogonal cut plane and an oblique cut plane;

performing three-dimensional reconstruction on the preset curved surface of the target object in response to a second operation instruction, the second operation instruction being directed to the preset curved surface of the target object;

performing three-dimensional reconstruction on the target object based on the target point in response to a third operation instruction, the third operation instruction being directed to the target point of the target object;

performing three-dimensional reconstruction on the target thick layer of the target object in response to a fourth operation instruction, the fourth operating instruction is for the target thick layer of the target object, and the target thick layer is determined based on the scanned image of the target object .

In conjunction with the first aspect, an embodiment of the present invention provides a first possible implementation manner of the first aspect, wherein the medical image includes a CT image and a medical magnetic resonance MR image, and the step of acquiring the target object from the medical image ,include:

Obtain the target object from the medical image by a threshold method;

or,

The target object is obtained from the medical image by a region growing method.

In conjunction with the first aspect, the embodiment of the present invention provides a second possible implementation manner of the first aspect, wherein the step of performing three-dimensional reconstruction on the target plane of the target object in response to the first operation instruction includes:

adjusting the projection mode of the target object, the thickness of the target plane, and the window width or window level of the target object in response to the first operation instruction;

or,

A parameter of the target plane is measured in response to the first operating instruction, the parameter including density, length, area.

In conjunction with the first aspect, the embodiment of the present invention provides a third possible implementation manner of the first aspect, wherein the step of performing three-dimensional reconstruction on the preset curved surface of the target object in response to the second operation instruction includes:

adjusting the window width or the window level of the preset curved surface in response to the second operation instruction;

or,

The length of the preset curved surface is measured in response to the second operation instruction.

In conjunction with the first aspect, the embodiment of the present invention provides a fourth possible implementation manner of the first aspect, wherein the step of performing three-dimensional reconstruction of the target object based on the target point in response to the third operation instruction includes:

adjusting the transparency of the target object and the target body position based on the target point in response to a third operation instruction;

or,

The target area of the target object is displayed in response to the third operation instruction.

In conjunction with the first aspect, the embodiment of the present invention provides a fifth possible implementation manner of the first aspect, wherein the step of performing three-dimensional reconstruction on the target thick layer of the target object in response to the fourth operation instruction includes:

The number of layers, the layer thickness and the layer spacing of the target thick layer are adjusted in response to the fourth operation instruction.

In conjunction with the first aspect, the embodiment of the present invention provides a sixth possible implementation manner of the first aspect, wherein the method further includes:

The three-dimensional reconstructed target objects are stored in an all-online storage mode and in an unstructured manner, and the three-dimensional reconstructed target objects are analyzed and processed by using an indexing technology.

In a second aspect, an embodiment of the present invention further provides a medical image three-dimensional reconstruction device, which is applied to a server, including:

an acquisition module for acquiring a target object from a medical image;

a first reconstruction module, configured to perform three-dimensional reconstruction on the target plane of the target object in response to a first operation instruction, the first operation instruction is aimed at the target position and target angle of the target plane, and the target plane includes an orthogonal Cut plane, oblique cut plane;

a second reconstruction module, configured to perform three-dimensional reconstruction on the preset curved surface of the target object in response to a second operation instruction, the second operation instruction being directed to the preset curved surface of the target object;

a third reconstruction module, configured to perform three-dimensional reconstruction of the target object based on the target point in response to a third operation instruction, and the third operation instruction is directed to the target point of the target object;

a fourth reconstruction module, configured to perform three-dimensional reconstruction on the target thick layer of the target object in response to a fourth operation instruction, the fourth operation instruction is aimed at the target thick layer of the target object, and the target thick layer is based on the Scanned images of target objects are identified.

Embodiments of the present invention provide a method and device for three-dimensional reconstruction of medical images, which determine a target object from a two-dimensional medical image, and perform three-dimensional reconstruction of a specific target position of the target object in response to an operation instruction of a user, wherein the operation instruction is directed to the target object the specific position so that the reconstructed 3D model has accurate identification results.

Other features and advantages of the present invention will be set forth in the description which follows, and in part will be apparent from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the description and drawings.

In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below, and are described in detail as follows in conjunction with the accompanying drawings.

Description of drawings

In order to illustrate the specific embodiments of the present invention or the technical solutions in the prior art more clearly, the following briefly introduces the accompanying drawings that need to be used in the description of the specific embodiments or the prior art. Obviously, the accompanying drawings in the following description The drawings are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can also be obtained based on these drawings without creative efforts.

FIG. 1 is a schematic flowchart of a method for 3D reconstruction of a medical image according to an embodiment of the present invention;

FIG. 2 is a schematic structural diagram of a medical image three-dimensional reconstruction apparatus according to an embodiment of the present invention.

Detailed ways

In order to make the purposes, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of them. example. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

Currently, only two-dimensional medical images can generally locate the patient's lesions, which cannot be accurately adapted to complex human tissues and organs. A 3D reconstruction method of medical images has been found through research, but the current 3D reconstruction method has better identification and positioning ability compared with 2D images, but cannot accurately reconstruct the complex position and angle of small lesions.

Based on this, the embodiments of the present invention provide a three-dimensional reconstruction method and device for a medical image, which can accurately perform three-dimensional reconstruction of a target object in a two-dimensional medical image.

In order to facilitate the understanding of this embodiment, a method for three-dimensional reconstruction of a medical image disclosed in the embodiment of the present invention is first introduced in detail. The embodiment of the present invention may adopt a BS architecture of a browser and a server. The user can input operation instructions through the user interface module, input and output module and other modules of the browser, so that the server can perform three-dimensional reconstruction of a specific target position. At the same time, through the image processing module and the tool module, the two-dimensional image data acquired by CT, tomography PET, magnetic resonance MR and other imaging equipment or image storage media are uploaded to the server, and the image processing module of the server processes the original two-dimensional image into Simulated three-dimensional images, and realize interaction with users through cutting and reconstruction algorithms.

FIG. 1 is a flowchart of a method for three-dimensional reconstruction of a medical image provided by an embodiment of the present invention.

As shown in FIG. 1 , an embodiment of the present invention provides a three-dimensional reconstruction method for a medical image, which is applied to a server and includes the following steps:

Step S102, obtaining the target object from the medical image;

In step S104, three-dimensional reconstruction is performed on the target plane of the target object in response to a first operation instruction, the first operation instruction is for the target position and target angle of the target plane, and the target plane includes an orthogonal tangent plane, an oblique intersection section;

Step S106, performing three-dimensional reconstruction on the preset curved surface of the target object in response to a second operation instruction, and the second operation instruction is directed to the preset curved surface of the target object;

Step S108, performing three-dimensional reconstruction on the target object based on the target point in response to a third operation instruction, and the third operation instruction is directed to the target point of the target object;

Step S110, performing three-dimensional reconstruction on the target thick layer of the target object in response to a fourth operation instruction, the fourth operation instruction is directed to the target thick layer of the target object, and the target thick layer is based on the scan of the target object image to be determined.

In a preferred embodiment of practical application, a target object is determined from a two-dimensional medical image, and a three-dimensional reconstruction is performed on a specific target position of the target object in response to an operation instruction of the user, wherein the operation instruction is directed to the specific position of the target object, so as to reconstruct The resulting 3D model has accurate recognition results.

Here, the target object may include abnormal tissue structures such as focal points and calcification points in the two-dimensional medical image. Among them, the server can adopt a networked high-performance DICOM server, a networked three-dimensional image workstation, a networked three-dimensional image server, and the like.

In an optional embodiment, the method further includes:

In step 1.1), the three-dimensional reconstructed target object is stored in an all-online storage mode and in an unstructured manner, and the three-dimensional reconstructed target object is analyzed and processed by using an indexing technology.

Here, the embodiments of the present invention have important theoretical value and practical significance for medical image processing, real-time sharing, and remote consultation. The information is displayed to the doctor in real time.

As an optional embodiment, wherein the medical images include CT images and medical magnetic resonance MR images, step S102 includes the following steps:

Step 2.1), obtain the target object from the medical image by the threshold method;

or,

Step 2.2), obtaining the target object from the medical image by the region growing method.

Here, the segmentation of target objects in medical images is the preprocessing process of 3D image construction. Different types of images are often used with different types of segmentation methods. After analysis and comparison, we choose the threshold method to segment CT images, and for MR images, we use region growth. Law.

In an optional embodiment, step S104 further includes:

Step 3.1), adjusting the projection mode of the target object, the thickness of the target plane and the window width or window level of the target object in response to the first operation instruction;

or,

Step 3.2), in response to the first operation instruction, measure the parameters of the target plane, where the parameters include density, length, and area.

Here, the embodiment of the present invention can reconstruct any plane specified by the user, and can quickly locate and display the plane at any position and angle. Supports reconstruction of orthogonal slices and oblique slices; supports multiple projection modes, including maximum density projection, average density projection, and minimum density projection; supports plane thickness adjustment. Support window width/window level adjustment, zoom, move, movie browsing. Density, length, angle and area of interest measurements on reconstructed surfaces are supported.

In an optional embodiment, step S106 includes:

Step 4.1), adjusting the window width or the window level of the preset curved surface in response to the second operation instruction;

or,

Step 4.2), measuring the length of the preset curved surface in response to the second operation instruction.

Here, the embodiment of the present invention can reconstruct the preset curved surface manually defined by the user, quickly locate and display the curved surface of interest, and support window width/window level adjustment and length measurement.

In an optional embodiment, step S108 includes:

Step 5.1), adjusting the transparency of the target object and the target body position based on the target point in response to the third operation instruction;

or,

Step 5.2), displaying the target area of the target object in response to the third operation instruction.

Here, a 3D rendering method based on point reconstruction is used to display medical images with 3D stereo effects. It supports transparency adjustment, as well as rotation, zoom, and translation, supports one-key positioning of standard body positions, and supports delineating areas of interest for separate display.

In an optional embodiment, step S110 can also be implemented by the following steps:

Step 6.1), adjusting the layer number, layer thickness and layer spacing of the target thick layer in response to the fourth operation instruction.

Here, the embodiment of the present invention can also be used for thinning reconstruction, thinning the thick-slice scanning image of the target object into thin-slice scanning images, and adjusting the number of layers, layer thickness, and layer spacing to achieve accurate three-dimensional reconstruction.

As an optional embodiment, an active monitoring, error correction, and repair program may be built-in in the embodiment of the present invention. For problems that occur, the system will automatically repair and report logs to the customer support center in time.

The solutions provided by the embodiments of the present invention can support coronal, sagittal, axial or arbitrary direction images and various types of two-dimensional medical images. Reconstruct any plane specified by the user, which can quickly locate and display the plane at any position and angle. Supports reconstruction of orthogonal slices and oblique slices; supports multiple projection modes, including maximum density projection, average density projection, and minimum density projection; supports plane thickness adjustment. Support window width/window level adjustment, zoom, move, movie browsing. Density, length, angle and area of interest measurements on reconstructed surfaces are supported. Reconstruct the surface manually defined by the user, quickly locate and display the surface of interest, and support window width/window level adjustment and length measurement. It adopts the 3D rendering method based on point reconstruction, uses 3D stereo effect to display medical images, supports transparency adjustment, as well as rotation, zooming, and translation, supports one-key positioning of standard body positions, and supports delineating areas of interest for separate display. Decompose the thick layer scan image into thin layer scan image, adjust the number of layers, layer thickness, layer spacing, support coronal, sagittal, axial or any direction images.

As shown in FIG. 2 , an embodiment of the present invention further provides a medical image three-dimensional reconstruction device, which is applied to a server, including:

an acquisition module for acquiring a target object from a medical image;

a first reconstruction module, configured to perform three-dimensional reconstruction on the target plane of the target object in response to a first operation instruction, the first operation instruction is aimed at the target position and target angle of the target plane, and the target plane includes an orthogonal Cut plane, oblique cut plane;

a second reconstruction module, configured to perform three-dimensional reconstruction on the preset curved surface of the target object in response to a second operation instruction, the second operation instruction being directed to the preset curved surface of the target object;

a third reconstruction module, configured to perform three-dimensional reconstruction of the target object based on the target point in response to a third operation instruction, and the third operation instruction is directed to the target point of the target object;

a fourth reconstruction module, configured to perform three-dimensional reconstruction on the target thick layer of the target object in response to a fourth operation instruction, the fourth operation instruction is aimed at the target thick layer of the target object, and the target thick layer is based on the Scanned images of target objects are identified.

In an optional embodiment, the medical image includes a CT image and a medical magnetic resonance MR image, and the acquiring module is further configured to acquire the target object from the medical image through a threshold method;

or,

The target object is obtained from the medical image by a region growing method.

In an optional embodiment, the first reconstruction module is further configured to adjust the projection mode of the target object, the thickness of the target plane, and the window width or window level of the target object in response to the first operation instruction;

or,

A parameter of the target plane is measured in response to the first operating instruction, the parameter including density, length, area.

In an optional embodiment, the second reconstruction module is further configured to adjust the window width or the window level of the preset curved surface in response to the second operation instruction;

or,

The length of the preset curved surface is measured in response to the second operation instruction.

In an optional embodiment, the third reconstruction module is further configured to adjust the transparency of the target object and the target body position based on the target point in response to the third operation instruction;

or,

The target area of the target object is displayed in response to the third operation instruction.

In an optional embodiment, the fourth reconstruction module is further configured to adjust the layer number, layer thickness and layer spacing of the target thick layer in response to the fourth operation instruction.

In an optional embodiment, a processing module is further included, and the processing module is further configured to store the three-dimensionally reconstructed target object in a fully online storage mode and an unstructured manner, and use an indexing technology to store the three-dimensional reconstructed target object. The target object is analyzed and processed.

The apparatus for 3D reconstruction of a medical image provided by the embodiment of the present invention has the same technical features as the 3D reconstruction method for a medical image provided in the above-mentioned embodiment, so it can also solve the same technical problem and achieve the same technical effect.

The computer program product of the medical image three-dimensional reconstruction method, device, and system provided by the embodiments of the present invention includes a computer-readable storage medium storing program codes, and the instructions included in the program codes can be used to execute the methods described in the foregoing method embodiments. The specific implementation can refer to the method embodiment, which will not be repeated here.

Those skilled in the art can clearly understand that, for the convenience and brevity of description, for the specific working process of the system and device described above, reference may be made to the corresponding process in the foregoing method embodiments, which will not be repeated here.

In addition, in the description of the embodiments of the present invention, unless otherwise expressly specified and limited, the terms "installed", "connected" and "connected" should be understood in a broad sense, for example, it may be a fixed connection or a detachable connection , or integrally connected; it can be a mechanical connection or an electrical connection; it can be a direct connection, or an indirect connection through an intermediate medium, or the internal communication between the two components. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood in specific situations.

The functions, if implemented in the form of software functional units and sold or used as independent products, may be stored in a computer-readable storage medium. Based on such understanding, the technical solution of the present invention can be embodied in the form of a software product in essence, or the part that contributes to the prior art or the part of the technical solution. The computer software product is stored in a storage medium, including Several instructions are used to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes: U disk, removable hard disk, Read-Only Memory (ROM, Read-Only Memory), Random Access Memory (RAM, Random Access Memory), magnetic disk or optical disk and other media that can store program codes .

In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. The indicated orientation or positional relationship is based on the orientation or positional relationship shown in the accompanying drawings, which is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the indicated device or element must have a specific orientation or a specific orientation. construction and operation, and therefore should not be construed as limiting the invention. Furthermore, the terms "first", "second", and "third" are used for descriptive purposes only and should not be construed to indicate or imply relative importance.

Embodiments of the present invention further provide an electronic device, including a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, the method for 3D reconstruction of a medical image provided by the foregoing embodiments is implemented. step.

Embodiments of the present invention further provide a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is run by a processor, the steps of the medical image three-dimensional reconstruction method of the foregoing embodiments are executed.

Finally, it should be noted that the above-mentioned embodiments are only specific implementations of the present invention, and are used to illustrate the technical solutions of the present invention, but not to limit them. The protection scope of the present invention is not limited thereto, although referring to the foregoing The embodiment has been described in detail the present invention, those of ordinary skill in the art should understand: any person skilled in the art who is familiar with the technical field within the technical scope disclosed by the present invention can still modify the technical solutions described in the foregoing embodiments. Or can easily think of changes, or equivalently replace some of the technical features; and these modifications, changes or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be covered in the present invention. within the scope of protection.

Claims (8)

1. A three-dimensional reconstruction method of a medical image is applied to a server and comprises the following steps:

acquiring a target object from a medical image;

performing three-dimensional reconstruction on a target plane of the target object in response to a first operation instruction, wherein the first operation instruction is used for a target position and a target angle of the target plane, and the target plane comprises an orthogonal section and an oblique section;

responding to a second operation instruction to carry out three-dimensional reconstruction on the preset curved surface of the target object, wherein the second operation instruction aims at the preset curved surface of the target object;

performing three-dimensional reconstruction on the target object based on a target point in response to a third operation instruction, wherein the third operation instruction is specific to the target point of the target object;

performing three-dimensional reconstruction on a target thick layer of the target object in response to a fourth operation instruction, wherein the fourth operation instruction is specific to the target thick layer of the target object, and the target thick layer is determined based on a scanned image of the target object.

2. The method according to claim 1, wherein the medical images include CT images and medical magnetic resonance MR images, and the step of acquiring the target object from the medical images includes:

acquiring a target object from the medical image through a threshold method;

or,

the target object is acquired from the medical image by a region growing method.

3. The method of claim 1, wherein the step of reconstructing the target plane of the target object in three dimensions in response to the first operation instruction comprises:

adjusting a projection mode of the target object, a thickness of the target plane, and a window width or level of the target object in response to a first operation instruction;

or,

and measuring parameters of the target plane in response to the first operation instruction, wherein the parameters comprise density, length and area.

4. The method according to claim 1, wherein the step of reconstructing the preset curved surface of the target object in three dimensions in response to the second operation instruction comprises:

responding to a second operation instruction to adjust the window width or the window level of the preset curved surface;

or,

and measuring the length of the preset curved surface in response to a second operation instruction.

5. The method according to claim 1, wherein the step of reconstructing the target object in three dimensions based on the target point in response to the third operation instruction comprises:

adjusting the transparency and the target body position of the target object based on the target point in response to a third operation instruction;

or,

and displaying a target area of the target object in response to a third operation instruction.

6. The method of claim 1, wherein the step of reconstructing the target thick layer of the target object in three dimensions in response to the fourth operation instruction comprises:

and adjusting the number of layers, the layer thickness and the layer spacing of the target thick layer in response to a fourth operation instruction.

7. The method of claim 1, further comprising:

and storing the three-dimensionally reconstructed target object in a full online storage mode and an unstructured mode, and analyzing and processing the three-dimensionally reconstructed target object by an index technology.

8. A medical image three-dimensional reconstruction device is applied to a server and comprises:

an acquisition module for acquiring a target object from a medical image;

the first reconstruction module is used for performing three-dimensional reconstruction on a target plane of the target object in response to a first operation instruction, wherein the first operation instruction is specific to a target position and a target angle of the target plane, and the target plane comprises an orthogonal tangent plane and an oblique tangent plane;

the second reconstruction module is used for responding to a second operation instruction to carry out three-dimensional reconstruction on the preset curved surface of the target object, wherein the second operation instruction aims at the preset curved surface of the target object;

a third reconstruction module, configured to perform three-dimensional reconstruction on the target object based on a target point in response to a third operation instruction, where the third operation instruction is directed to the target point of the target object;

a fourth reconstruction module, configured to perform three-dimensional reconstruction on a target thick layer of the target object in response to a fourth operation instruction, where the fourth operation instruction is for the target thick layer of the target object, and the target thick layer is determined based on a scanned image of the target object.

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