CN114266848A - Medical image three-dimensional reconstruction method and device - Google Patents
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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
Technical Field
The invention relates to the technical field of medical image processing, in particular to a medical image three-dimensional reconstruction method and device.
Background
With the development and wide application of modern computer technology and medical imaging technology, the medical image processing and analyzing means are continuously improved, and the diagnosis and treatment level is greatly improved. Because human tissues and organs have various shapes and complex structures, the focus of a patient is often difficult to accurately position by medical science only by observing two-dimensional images. Therefore, modern medicine has been unable to keep away from medical images, i.e., medical images play an increasingly important role in clinical diagnosis, teaching, scientific research, and the like.
Disclosure of Invention
The invention aims to provide a three-dimensional reconstruction method and a three-dimensional reconstruction device for a medical image, which can accurately perform three-dimensional reconstruction on a target object in a two-dimensional medical image.
In a first aspect, an embodiment of the present invention provides a medical image three-dimensional reconstruction method, which is applied to a server, and includes:
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.
With reference to 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 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.
With reference to the first aspect, an embodiment of the present invention provides a second possible implementation manner of the first aspect, where the step of performing three-dimensional reconstruction on the target plane of the target object in response to the first operation instruction includes:
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.
With reference to the first aspect, an embodiment of the present invention provides a third possible implementation manner of the first aspect, where the step of performing three-dimensional reconstruction on the preset curved surface of the target object in response to the second operation instruction includes:
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.
With reference to the first aspect, an embodiment of the present invention provides a fourth possible implementation manner of the first aspect, where the step of performing three-dimensional reconstruction on the target object based on the target point in response to the third operation instruction includes:
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.
With reference to the first aspect, an embodiment of the present invention provides a fifth possible implementation manner of the first aspect, where the step of performing three-dimensional reconstruction on the target thick layer of the target object in response to a fourth operation instruction includes:
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.
With reference to the first aspect, an embodiment of the present invention provides a sixth possible implementation manner of the first aspect, where the method further includes:
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.
In a second aspect, an embodiment of the present invention further provides a medical image three-dimensional reconstruction apparatus, which is applied to a server, and includes:
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.
The embodiment of the invention provides a three-dimensional reconstruction method and a three-dimensional reconstruction device for a medical image, which are used for determining a target object from a two-dimensional medical image and performing three-dimensional reconstruction on a specific target position of the target object in response to an operation instruction of a user, wherein the operation instruction is specific to the specific position of the target object, so that a reconstructed three-dimensional model has an accurate identification result.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious 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 written description and drawings.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a schematic flow chart of a three-dimensional reconstruction method for 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 Description
To make the objects, 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, and it is apparent that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Currently, the focus of a patient can be positioned only through a two-dimensional medical image, and the method cannot be accurately adapted to complex human tissues and organs. A research shows that a medical image three-dimensional reconstruction method has better identification and positioning capabilities compared with a two-dimensional image, but the method cannot accurately reconstruct the complex position and angle of a tiny focus.
Based on the above, the medical image three-dimensional reconstruction method and the medical image three-dimensional reconstruction device provided by the embodiment of the invention can accurately perform three-dimensional reconstruction on the target object in the two-dimensional medical image.
For the understanding of the embodiment, a detailed description will be first given of a three-dimensional reconstruction method for medical images disclosed in the embodiment of the present invention. The embodiment of the invention can adopt the BS architecture of the browser and the server. A user can input an operation instruction through a user interface module, an input and output module and other modules of the browser, so that the service end can carry out three-dimensional reconstruction on a specific target position. Meanwhile, two-dimensional image data acquired by imaging equipment such as CT, tomography PET, magnetic resonance MR and the like or image storage media are uploaded to a server through an image processing module and a tool module, and an original two-dimensional image is processed into a simulated three-dimensional image through the image processing module of the server, and the operation interaction with a user is realized through a cutting and reconstruction algorithm.
Fig. 1 is a flowchart of a three-dimensional reconstruction method for a medical image according to an embodiment of the present invention.
As shown in fig. 1, an embodiment of the present invention provides a medical image three-dimensional reconstruction method, applied to a server, including the following steps:
step S102, acquiring a target object from a medical image;
step S104, 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;
step S106, 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;
step S108, responding to a third operation instruction, and performing three-dimensional reconstruction on the target object based on a target point, wherein the third operation instruction is directed at 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, where the fourth operation instruction is directed to 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 a practical preferred embodiment, the target object is determined from the two-dimensional medical image, and the specific target position of the target object is reconstructed in three dimensions in response to the operation instruction of the user, wherein the operation instruction is specific to the specific position of the target object, so that the reconstructed three-dimensional model has an accurate recognition result.
Here, the target object may include an abnormal tissue structure such as a lesion point, a calcification point, etc. in the two-dimensional medical image. 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 comprises:
step 1.1), 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.
The embodiment of the invention has important theoretical value and practical significance for medical image processing, real-time sharing and remote consultation, and can process and three-dimensionally model two-dimensional medical images by using a computer image processing technology and display networked three-dimensional information to doctors in real time.
As an alternative embodiment, wherein the medical image comprises a CT image and a medical magnetic resonance MR image, step S102, comprises the steps of:
step 2.1), acquiring a target object from the medical image by a threshold method;
or,
and 2.2) acquiring a target object from the medical image by a region growing method.
The segmentation of the target object in the medical image is a preprocessing process of three-dimensional image construction, different types of images are usually suitable for different types of segmentation methods, a threshold value method is selected to segment the CT image through analysis and comparison, and a region growing method is adopted for the MR image.
In an optional embodiment, step S104 further includes:
step 3.1), adjusting a projection mode of the target object, the thickness of the target plane and the window width or the window level of the target object in response to a first operation instruction;
or,
and 3.2) responding to the first operation instruction to measure parameters of the target plane, wherein the parameters comprise density, length and area.
The embodiment of the invention can reconstruct any plane specified by a user, and can quickly position and display the plane at any position and angle. Supporting reconstruction of an orthogonal tangent plane and an oblique tangent plane; supporting a plurality of projection modes, including maximum intensity projection, average intensity projection and minimum intensity projection; supporting planar thickness adjustment. And window width/level adjustment, zooming, moving and movie-type browsing are supported. Support density, length, angle and area of interest measurements on the reconstruction surface.
In an alternative embodiment, step S106 includes:
step 4.1), responding to a second operation instruction to adjust the window width or the window level of the preset curved surface;
or,
and 4.2) responding to a second operation instruction to measure the length of the preset curved surface.
Here, the embodiment of the present invention may reconstruct a preset curved surface manually defined by a user, quickly locate and display a curved surface of interest, and support window width/level adjustment and length measurement.
In an alternative embodiment, step S108 includes:
step 5.1), responding to a third operation instruction, and adjusting the transparency and the target body position of the target object based on the target point;
or,
and 5.2) responding to a third operation instruction to display a target area of the target object.
The medical image is displayed by a three-dimensional stereo effect by adopting a three-dimensional drawing method based on point reconstruction, transparency adjustment, rotation, zooming and translation are supported, a standard body position is supported to be positioned by one key, and a region of interest is supported to be demarcated and displayed independently.
In an alternative embodiment, step S110 may be implemented by the following steps:
and 6.1) responding to a fourth operation instruction to adjust the number of layers, the layer thickness and the layer spacing of the target thick layer.
Here, the embodiment of the present invention may also be used for thinning reconstruction, where a thick-layer scan image of a target object is thinned into a thin-layer scan image, and the number of layers, the thickness of the layers, and the distance between the layers are adjusted to implement accurate three-dimensional reconstruction.
As an optional embodiment, the embodiment of the present invention may embed an active monitoring, error correcting, and repairing program, and for a problem, the system will automatically repair and report the log to the customer support center in time.
The scheme provided by the embodiment of the invention can support coronal images, sagittal images, axial images or images in any direction and two-dimensional medical images with various types. And reconstructing any plane specified by a user, and quickly positioning and displaying planes at any positions and angles. Supporting reconstruction of an orthogonal tangent plane and an oblique tangent plane; supporting a plurality of projection modes, including maximum intensity projection, average intensity projection and minimum intensity projection; supporting planar thickness adjustment. And window width/level adjustment, zooming, moving and movie-type browsing are supported. Support density, length, angle and area of interest measurements on the reconstruction surface. The method is used for reconstructing the curved surface manually defined by a user, quickly positioning and displaying the interested curved surface, and supporting window width/level adjustment and length measurement. The medical image is displayed by a three-dimensional effect by adopting a three-dimensional drawing method based on point reconstruction, transparency adjustment, rotation, zooming and translation are supported, a standard body position is supported to be positioned by one key, and a region of interest is supported to be defined and displayed independently. And (3) thinning the thick-layer scanned image into a thin-layer scanned image, adjusting the number of layers, the thickness of the layers and the distance between the layers, and supporting images in coronal, sagittal, axial or any direction.
As shown in fig. 2, an embodiment of the present invention further provides a medical image three-dimensional reconstruction apparatus, which is applied to a server, and includes:
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.
In an alternative embodiment, the medical image comprises a CT image and a medical magnetic resonance MR image, and the acquisition module is further configured to acquire the target object from the medical image by thresholding;
or,
the target object is acquired from the medical image by a region growing method.
In an optional embodiment, the first reconstruction module is further configured to adjust 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 the 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.
In an optional embodiment, the second re-modeling block is further configured to adjust a window width or a window level of the preset curved surface in response to a second operation instruction;
or,
and measuring the length of the preset curved surface in response to a second operation instruction.
In an optional embodiment, the third re-modeling block is further configured to adjust the transparency and the target posture 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.
In an alternative embodiment, the fourth modeling block is further configured to adjust the number of layers, the layer thickness, and the layer spacing of the target thick layer in response to a fourth operation instruction.
In an optional embodiment, the system further includes a processing module, and the processing module is further configured to store the three-dimensional reconstructed target object in an all-online storage mode and an unstructured manner, and analyze and process the three-dimensional reconstructed target object through an indexing technique.
The medical image three-dimensional reconstruction device provided by the embodiment of the invention has the same technical characteristics as the medical image three-dimensional reconstruction method provided by the embodiment, so that the same technical problems can be solved, and the same technical effects can be achieved.
The medical image three-dimensional reconstruction method, apparatus and computer program product of the system provided in the embodiments of the present invention include a computer readable storage medium storing a program code, where instructions included in the program code may be used to execute the method described in the foregoing method embodiments, and specific implementation may refer to the method embodiments, and will not be described herein again.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the system and the apparatus described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In addition, in the description of the embodiments of the present invention, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing 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., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
The embodiment of the present invention further provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the steps of the medical image three-dimensional reconstruction method provided in the above embodiment are implemented.
The embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the medical image three-dimensional reconstruction method of the above embodiment are performed.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present invention, which are used for illustrating the technical solutions of the present invention and not for limiting the same, and the protection scope of the present invention is not limited thereto, although the present invention is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being included therein.
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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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115148341A (en) * | 2022-08-02 | 2022-10-04 | 重庆大学附属三峡医院 | AI structure delineation method and system based on body position recognition |
| CN115148338A (en) * | 2022-06-28 | 2022-10-04 | 上海域圆信息科技有限公司 | Remote consultation system and method |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115148338A (en) * | 2022-06-28 | 2022-10-04 | 上海域圆信息科技有限公司 | Remote consultation system and method |
| CN115148341A (en) * | 2022-08-02 | 2022-10-04 | 重庆大学附属三峡医院 | AI structure delineation method and system based on body position recognition |
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