CN118071869A - Image processing method, electronic device, readable storage medium and program product - Google Patents

Abstract

The present invention relates to the field of medical image technology, and specifically provides an image processing method, an electronic device, a readable storage medium and a program product. The method first displays a target image, wherein the size of the target image corresponds to a first imaging field of view, the first imaging field of view is the imaging field of view of a scanned image obtained by scanning a scanned object, the target image includes a representation of a target body, the representation of the target body corresponds to a partial structure in the scanned object, then responds to a received reconstruction instruction, obtains a reconstruction area according to a currently determined region of interest, the region of interest corresponds to a partial region in the target image, wherein the region of interest includes at least a partial region of the target body, and finally reconstructs according to the reconstruction area and the scanned image of the scanned object to obtain a three-dimensional CT image. According to the present invention, the requirements for hardware devices can be reduced while ensuring the quality and effect of the image.

Description

Image processing method, electronic device, readable storage medium and program product

Technical Field

The present invention relates to the field of medical image technology, and in particular to an image processing method, an electronic device, a readable storage medium and a program product.

Background technique

During CBCT (Cone Beam CT) imaging, the scanned image is first captured, then reconstructed to obtain a CBCT image, and then displayed. During the image reconstruction process, if the imaging field of view at the time of shooting is used as the reconstruction field of view to reconstruct the image, and the reconstructed image is displayed, the performance requirements of hardware devices such as graphics cards will be high, resulting in a high cost of the equipment.

Summary of the invention

In order to solve at least one of the above technical problems, the present invention provides an image processing method, an apparatus, an electronic device, a readable storage medium and a program product.

A first aspect of the present invention provides an image processing method, comprising: displaying a target image, wherein the size of the target image corresponds to a first imaging field of view, wherein the first imaging field of view is an imaging field of view of a scanned image obtained by scanning a scanned object, wherein the target image includes a representation of a target body, wherein the representation of the target body corresponds to a partial structure in the scanned object; in response to a received reconstruction instruction, obtaining a reconstruction area according to a currently determined region of interest, wherein the region of interest corresponds to a partial region within the target image, and wherein the region of interest includes at least a partial region of the target body; and reconstructing according to the reconstruction area and the scanned image of the scanned object to obtain a three-dimensional CT image.

According to one embodiment of the present invention, before displaying the target image, the target image is obtained by one of the following methods: Method 1, performing a first reconstruction on the scanned image of the scanned object, and obtaining the target image based on the result of the first reconstruction, wherein the spatial resolution corresponding to the first reconstruction is less than or equal to the spatial resolution corresponding to the second reconstruction, and the second reconstruction corresponds to the process of obtaining the three-dimensional CT image by reconstruction; Method 2, acquiring a corresponding preset image as the target image according to the first imaging field of view, wherein the preset image contains a representation of a preset structure of the scanned object.

According to one embodiment of the present invention, the target image is a cross-sectional image.

According to one embodiment of the present invention, obtaining a target image based on the result of the first reconstruction includes: obtaining a target image according to a target section and the result of the first reconstruction.

According to one embodiment of the present invention, there is a preset distance between the target section and a preset position of the first image, the first image corresponds to the result of the first reconstruction, and the preset position is located at a spatial edge of the first image.

According to one embodiment of the present invention, the target image is a cross-sectional image.

According to an embodiment of the present invention, the currently determined region of interest is obtained through an overlapping area between a preset target region and the target image, and the target region changes position on the target image in response to a received movement indication.

According to an embodiment of the present invention, the target area changes its size in response to the received first instruction.

According to an embodiment of the present invention, the reconstruction indication is obtained by monitoring that a target event is triggered on a page where the region of interest is determined.

According to one embodiment of the present invention, a reconstructed area is obtained based on a currently determined region of interest, including: obtaining a reconstructed area based on positional features, size and a preset first length of the currently determined region of interest, wherein the first length is a length in a direction perpendicular to the target image in a three-dimensional image space.

According to one embodiment of the present invention, the position feature includes: relative position information between the position of the center point of the region of interest and the position of the center point of the target image.

According to one embodiment of the present invention, the scanned object corresponds to at least a partial area of a human head, and the target body includes teeth.

A second aspect of the present invention provides an image processing device, comprising:

A display module, used to display a target image, wherein the size of the target image corresponds to a first imaging field of view, wherein the first imaging field of view is an imaging field of view of a scanned image obtained by scanning the scanned object, wherein the target image includes a representation of a target body, and the representation of the target body corresponds to a partial structure in the scanned object;

A receiving module, used for receiving a reconstruction instruction;

A reconstruction region determination module, configured to obtain a reconstruction region according to a currently determined region of interest in response to a received reconstruction instruction, wherein the region of interest corresponds to a partial region within the target image, and the region of interest includes at least a partial region of the target body;

The image reconstruction module is used to reconstruct the scanned image of the reconstruction area and the scanned object to obtain a three-dimensional CT image.

A third aspect of the present invention provides an electronic device, comprising: a memory, the memory storing execution instructions; and a processor, the processor executing the execution instructions stored in the memory, so that the processor executes the image processing method described in any one of the above embodiments.

A fourth aspect of the present invention provides a readable storage medium, wherein the readable storage medium stores execution instructions, and when the execution instructions are executed by a processor, they are used to implement the image processing method described in any of the above embodiments.

A fifth aspect of the present invention provides a computer program product, comprising a computer program/instruction, which, when executed by a processor, implements the image processing method described in any of the above embodiments.

BRIEF DESCRIPTION OF THE DRAWINGS

The accompanying drawings illustrate exemplary embodiments of the present invention and together with the description serve to explain the principles of the present invention. These drawings are included to provide a further understanding of the present invention and are incorporated in and constitute a part of this specification.

FIG. 1 is a schematic flow chart of an image processing method according to an embodiment of the present invention.

FIG. 2 is a schematic diagram of a two-dimensional target image obtained in a first manner according to an embodiment of the present invention.

FIG. 3 is a schematic diagram of adjusting the position of a target area according to a movement instruction according to an embodiment of the present invention.

FIG. 4 is a schematic diagram of a three-dimensional CT image obtained after reconstruction according to a reconstruction region according to an embodiment of the present invention.

FIG. 5 is a schematic flow chart of an image processing method according to another embodiment of the present invention.

FIG. 6 is a schematic diagram of an image processing apparatus using a hardware implementation of a processing system according to an embodiment of the present invention.

FIG. 7 is a schematic diagram of an image processing apparatus using a hardware implementation of a processing system according to another embodiment of the present invention.

Detailed ways

The present invention will be further described in detail below in conjunction with the accompanying drawings and implementations. It is to be understood that the specific implementations described herein are only used to explain the relevant content, rather than to limit the present invention. It should also be noted that, for ease of description, only the parts related to the present invention are shown in the accompanying drawings.

It should be noted that, in the absence of conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other. The technical solution of the present invention will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

Unless otherwise specified, the exemplary embodiments/embodiments shown will be understood as exemplary features that provide various details of some ways in which the technical concept of the present invention can be implemented in practice. Therefore, unless otherwise specified, the features of the various embodiments/embodiments can be combined, separated, interchanged and/or rearranged without departing from the technical concept of the present invention.

The terms used herein are for the purpose of describing specific embodiments, rather than being restrictive. As used herein, unless the context clearly indicates otherwise, the singular forms "one (kind, person)" and "said (the)" are also intended to include plural forms. In addition, when the terms "comprise" and/or "include" and their variations are used in this specification, it is explained that there are stated features, integral bodies, steps, operations, parts, assemblies and/or their groups, but it is not excluded that there are or add one or more other features, integral bodies, steps, operations, parts, assemblies and/or their groups. It should also be noted that, as used herein, the terms "substantially", "approximately" and other similar terms are used as approximate terms and not as degree terms, so that they are used to explain the inherent deviations of the measured values, calculated values and/or provided values that will be recognized by those of ordinary skill in the art.

The following uses an application scenario of oral CBCT image reconstruction as an example to describe the image processing method, device, electronic device, computer-readable storage medium, and computer program product of the present invention with reference to the accompanying drawings.

When performing oral CBCT imaging, the target object to be photographed is usually the human head, and the imaging field of view used for the imaging can be expressed as U1*V1. The imaging field of view is roughly cylindrical, where U1 represents the diameter of the cylinder and V1 represents the height of the cylinder. For example, U1 can be set to 16 cm and V1 can be set to 9 cm, so that the area including the oral cavity can be photographed.

After the shooting is completed, the scanned image is reconstructed. The maximum reconstruction field of view does not exceed the imaging field of view, that is, the reconstruction field of view will not be larger than U1*V1. The reconstructed image needs to be used for film reading or other purposes, so there are certain requirements for spatial resolution, and the voxel size used in reconstruction may be smaller. If the reconstruction range is selected as the U1*V1 range, a high-resolution three-dimensional CBCT image in the U1*V1 range can be obtained, but this makes the amount of data to be reconstructed larger, the amount of calculation required is also larger, the reconstruction time will be longer, and it will also have higher requirements on hardware devices such as graphics cards and video memory. The configuration of some graphics cards and video memory may be difficult to support this scale of data, making it difficult to complete this reconstruction task.

In order to ensure that the spatial resolution of the reconstructed CBCT image meets the requirements of film reading, and to reduce the amount of calculation and reconstruction time required for reconstruction and reduce the performance requirements for hardware equipment, the present invention proposes an image processing method. After obtaining the scanned image of the U1*V1 range of the large field of view, the U2*V2 range of the small field of view is used as the reconstruction range. The reconstruction range includes at least part of the oral region that is actually interested in the film reading, and the reconstruction range is included in and smaller than the imaging field of view. For example, if the user expects the content of the anterior teeth area of the oral cavity to be displayed in the CBCT image, the reconstruction range can be slightly larger than the regional range of the anterior teeth area. The reconstruction range is set to be smaller than the imaging field of view, so that the amount of calculation and time required for reconstruction are reduced, the requirements for the equipment are also reduced, and the content that the user actually needs to view is retained, ensuring the quality and effect of the image. In addition, by selecting the reconstruction range to generate a CBCT image for film reading, the position requirement for the scanned object can be omitted, and accordingly, there is no need to set a light mark for indication.

Fig. 1 is a schematic flow chart of an image processing method according to an embodiment of the present invention. Referring to Fig. 1 , the present invention provides an image processing method M100, which may include the following steps S110, S120 and S130.

S110, displaying a target image, wherein the size of the target image corresponds to a first imaging field of view, the first imaging field of view being the imaging field of view of a scanned image obtained by scanning the scanned object, the target image includes a representation of a target body, and the representation of the target body corresponds to a partial structure in the scanned object.

During oral CBCT imaging, the scanned object may be a human head. The target object is an object that the user expects to observe when reading the film, and the target object may be part or all of the teeth. The image size of the target image corresponds to the first imaging field of view U1*V1.

The scanned image is a two-dimensional image, also known as a projection image. The source and the detector are rotated synchronously around the scanned object while keeping their relative positions unchanged. During the rotation, the source emits rays, which pass through the scanned object and are collected by the detector, thus forming scanned images at different scanning angles.

Assuming that the target image is a three-dimensional spatial image, the size of the target image can be the same as the spatial range of U1*V1. The target image includes a tooth image. By displaying the target image, the user can see the teeth in the target image. It is understandable that the target image can also be a two-dimensional plane image.

S120, in response to the received reconstruction instruction, obtaining a reconstruction region according to the currently determined region of interest, wherein the region of interest corresponds to a partial region in the target image, and the region of interest includes at least a partial region of the target body.

The region of interest may be a planar area. After seeing the teeth in the target image, the user may operate the system to set and adjust the position of the region of interest, or adjust the size of the region of interest so that the region of interest includes the object that the user expects to see when reading the film.

For example, when the user wants to observe the image of the anterior teeth area, the position of the region of interest can be adjusted by operating the system so that the region of interest includes the two-dimensional image content of multiple teeth in the anterior teeth area. After the region of interest is selected, the reconstruction area U2*V2 is determined by the region of interest. The reconstruction area U2*V2 is a three-dimensional space area, which includes the region of multiple teeth in the anterior teeth area.

S130, reconstructing the scanned image of the reconstruction area and the scanned object to obtain a three-dimensional CT image.

The scanned image of the human head is reconstructed according to the reconstruction area. The reconstruction algorithm can be FDK (filtered back projection) algorithm. After reconstruction, a CBCT image with a spatial size of U2*V2 can be obtained. Since the size of U2*V2 is smaller than U1*V1, the CBCT image obtained after this reconstruction is equivalent to a small field of view image. For small field of view images, the voxel size can be set smaller to ensure a higher resolution of the image, which is beneficial to the clarity and accuracy of the teeth to be observed when displaying, thereby facilitating the reading of the film.

In some implementations, before executing step S110, a target image is first obtained by one of the following methods.

Method 1: Perform a first reconstruction on the scanned image of the scanned object, and obtain a target image based on the result of the first reconstruction, wherein the spatial resolution corresponding to the first reconstruction is less than or equal to the spatial resolution corresponding to the second reconstruction, and the second reconstruction corresponds to the process of obtaining a three-dimensional CT image through reconstruction.

Method 2: acquiring a corresponding preset image as a target image according to the first imaging field of view, wherein the preset image includes a representation of a preset structure of the scanned object.

For method 1, a low-resolution reconstruction can be first performed based on the scanned image to obtain a real large-field CBCT image of the scanned object, and then the target image can be obtained by processing the large-field image. Low-resolution reconstruction can reduce the time required for reconstruction and the requirements for hardware, thereby improving the efficiency of generating the target image. Low-resolution reconstruction is a primary reconstruction, which is used to generate a large-field image for the user to select a region of interest. The subsequent reconstruction performed in step S130 is a secondary reconstruction, which is used to generate a small-field image corresponding to the region of interest, so that the user can read the film when the graphics card and video memory and other devices can support the display of the small-field image.

The target image obtained by the first method is closer to the actual oral condition of the scanned object, so that the selected region of interest can also better meet the user's expectations.

For the second method, a preset image whose image size corresponds to the first imaging field of view is directly determined from the preset preset images, and the determined preset image is used as the target image. The preset image can be an oral image. The oral image can be a simulated oral image or an oral image obtained by scanning and image processing a certain object in advance. The oral image also contains structures such as teeth and soft tissues. In these preset oral images of different sizes, the positions of structures such as teeth and soft tissues are set according to the usual positions of these structures in the human body. Structures such as teeth in the oral image can be represented by virtual symbols, such as using rectangles to represent teeth, or using only the outline of the teeth to describe the position and shape of the teeth. It can be understood that since the position difference between the dentition areas of the human oral cavity is small, a preset image that is not related to the actual dentition area position of the scanned object can be used as the basis for selecting the area of interest of the scanned object.

The speed of obtaining the target image through the second method is faster, and the target image can be directly obtained without reconstruction.

FIG2 is a schematic diagram of a two-dimensional target image obtained according to method 1 according to one embodiment of the present invention. Referring to FIG2 , the target image may be a cross-sectional image. For example, the target image may be a cross-sectional image representing a human head, the cross-sectional image includes tooth regions, and these tooth regions can be used to form a complete dental arch curve, that is, the tooth regions in the cross-sectional image are relatively complete and may include teeth of all tooth position numbers.

In the above-mentioned method 1, the method of obtaining the target image based on the result of the first reconstruction may include the following steps: obtaining the target image based on the target section and the result of the first reconstruction. There may be a preset distance between the target section and the preset position of the first image, the first image corresponds to the result of the first reconstruction, and the preset position may be located at the spatial edge of the first image.

The target image may be a two-dimensional image located in the target section in the CBCT image (i.e., the first image) of the first reconstruction result. Specifically, the position and size of the target section may be first acquired, and then the image in the target section may be acquired as the target image. When acquiring the position of the target section, a plane having a preset distance in the first direction from the preset spatial edge of the first image may be first acquired, and the plane may be used as the target section. For example, the preset position may be the bottom surface of the first image, the first direction may be the direction of the vertical axis, and the distance between the teeth and the bottom surface is usually within a numerical range. Therefore, the preset distance may be set to a specific value within the numerical range so that the target image can contain the image content of all teeth.

In some implementations, the currently determined region of interest may be obtained through an overlapping area between a preset target region and a target image, wherein the target region may change position on the target image in response to a received movement indication.

The target image area and the region of interest are both two-dimensional plane areas. After the target image is displayed, the user can first determine the region of interest by operating the system, and then send a reconstruction instruction to the system so that the system can obtain the spatial range of the reconstruction area according to step S120.

After the target image is displayed, a preset target area can also be displayed on the page displaying the target image. The target area can be represented on the page as a preset closed shape outline, and the area within the outline is the target area, that is, the area range of the current area of interest. Referring to FIG. 2 , A is a rectangular target area frame, and the target area frame is displayed on the target image. It is understandable that the target area can also be displayed in other ways other than the outline, such as blurring or graying the part of the target image outside the target area, and displaying the part within the target area normally, so as to distinguish the target area and the non-target area in the target image by the difference in display effects between different areas.

The target area may change its size in response to the received first instruction. The size of the target area may be a preset size, and the size of the target area may also be adjusted according to the received movement instruction, thereby changing the size of the CBCT image obtained in step S130.

The user can determine what content of the target image is included in the current region of interest through the contour line. When displaying the target image, the system can also display the target region at the same time. The target region can be located at the initial position in the target image at the initial moment, for example, at a position where the corners of the target region coincide with the corners of the target image. The user can adjust the position of the target region by operating the system so that the contour line of the target region changes position in the target image, thereby changing to a position that can include the content that the user wants to observe in the target region.

The reconstruction instruction may be obtained by monitoring the triggering of a target event on the page where the region of interest is determined. For example, after the user determines the desired region of interest by giving a moving instruction to the system, the user may click a preset button on the page where the target image is displayed, and give the system a reconstruction instruction using the click event as the target event. After the system receives the reconstruction instruction, it starts to obtain the reconstruction region according to the currently determined region of interest in step S120.

In some embodiments, the method of obtaining the reconstructed area based on the currently determined region of interest in step 120 may include the following steps: obtaining the reconstructed area based on the position characteristics, size and a preset first length of the currently determined region of interest, where the first length is the length in the direction perpendicular to the target image in the three-dimensional image space.

For example, the area range of two of the three directions of X, Y, and Z can be determined by the position of the region of interest in the target image and the size of the region of interest determined in step S120, and then the length of the remaining direction axis can be obtained by the preset first length, thereby forming a three-dimensional reconstructed area.

If the imaging field of view U1*V1 of the scanned image is 16*9, the desired CBCT image spatial range U2*V2 is 8*8 or 8*9, the region of interest is located on the horizontal plane (cross section), and the first length is the length along the vertical axis, then the region of interest can be extended along the direction of the first length (vertical axis) by the first length to obtain a three-dimensional reconstruction region. If the first length is set to 8 cm, an 8*8 reconstruction region can be obtained. The first length can also be equal to the height of the U1*V1 range in the vertical axis direction, that is, the first length can be 9 cm, and the resulting reconstruction region is 8*9.

The position feature may include: relative position information between the position of the center point of the interest region in the target image and the position of the center point of the target image.

FIG3 is a schematic diagram of adjusting the position of a target area according to a moving instruction according to an embodiment of the present invention. Referring to FIG3 , A is a rectangular target area, point O is the center point of the target image, point P1 is the center point of the target area before the position is moved according to the moving instruction, X _offset1 is the distance between point P1 and point O in the X-axis direction, and Y _offset1 is the distance between point P1 and point O in the Y-axis direction. Point P2 is the center point of the target area after the position is moved from point P1 according to the moving instruction, X _offset2 is the distance between point P2 and point O in the X-axis direction, and Y _offset2 is the distance between point P2 and point O in the Y-axis direction.

When the system receives the moving instruction, it will adjust the position of the target area. At this time, the relative position relationship between the center point of the target area and the center point of the target image will change accordingly. Point P1 is the default position of the target area at the initial moment. At this time, the user gives the system a moving instruction, and the system moves the target area to the position with P2 as the center point according to the moving instruction. At this time, the user clicks the preset button to give a reconstruction instruction, and the system obtains the reconstruction area according to X _offset2 , Y _offset2 , the size of the target area A and the first length.

Fig. 4 is a schematic diagram of a 3D CT image obtained after reconstruction according to a reconstruction region according to an embodiment of the present invention. Referring to Fig. 4 , a CBCT image is obtained by reconstruction according to a reconstruction region and displayed to a user.

FIG5 is a flowchart of an image processing method according to another embodiment of the present invention. Referring to FIG5, this embodiment performs a first reconstruction at a first spatial resolution on a scanned image of a 16cm*9cm imaging field of view acquired by actually photographing the scanned object, and obtains image data of a large field of view CBCT image corresponding to 16cm*9cm in image space. Then, based on the large field of view CBCT image data, a cross-sectional position having a preset distance from the bottom surface of the large field of view CBCT image along the Z-axis direction is determined, and a target image in which the cross-section overlaps with the large field of view CBCT image is obtained, and the target image and a default target area frame are displayed. After the user makes a movement instruction to the system, the system changes the position of the target area frame based on the movement instruction so that the target area frame includes part of the anterior tooth area. The user clicks the preset button to give the system a reconstruction instruction. After receiving the reconstruction instruction, the system determines the reconstruction area (three-dimensional space area) containing part of the anterior tooth area based on the distance between the center point of the target area frame and the center point of the large field of view CBCT image in the X-axis and Y-axis directions, the current size of the target area frame, and the first length (the default value is the height of the large field of view CBCT image in the Z-axis direction, i.e., 9 cm), and performs a second reconstruction on the scanned image of the 16cm*9cm imaging field of view according to the reconstruction area and a second spatial resolution higher than the first spatial resolution to obtain a small field of view CBCT image for the user to read the film. If the user believes that the content in the small field of view CBCT image does not contain the content expected to be observed, the page displaying the target image and the target area frame can be opened, and new movement instructions and reconstruction instructions can be made to obtain a small field of view CBCT image whose displayed content better meets the user's expectations.

Fig. 6 is a schematic diagram of an image processing device using a hardware implementation of a processing system according to an embodiment of the present invention. Referring to Fig. 6, the present invention further provides an image processing device 1000, which may include a display module 1002, a receiving module 1004, a reconstruction region determination module 1006, and an image reconstruction module 1008.

The display module 1002 is used to display the target image. The size of the target image corresponds to the first imaging field of view, which is the imaging field of view of the scanned image obtained by scanning the scanned object. The target image includes a representation of the target body, which corresponds to a partial structure in the scanned object.

The scanned object may correspond to at least a partial area of a human head, and the target body may include teeth.

The receiving module 1004 is used to receive a reconstruction instruction.

The reconstruction region determination module 1006 is used to obtain a reconstruction region according to the currently determined region of interest in response to the received reconstruction instruction, wherein the region of interest corresponds to a partial region in the target image, and the region of interest includes at least a partial region of the target body.

The image reconstruction module 1008 is used to reconstruct the scanned image of the reconstruction area and the scanned object to obtain a three-dimensional CT image.

It should be noted that the details not disclosed in the image processing device 1000 of this embodiment can refer to the details disclosed in the image processing method M100 of the above embodiment proposed by the present invention, and will not be repeated here.

The image processing device 1000 may include corresponding modules for executing each or several steps in the above flowchart. Therefore, each step or several steps in the above flowchart may be executed by the corresponding module, and the device may include one or more modules of these modules. The module may be one or more hardware modules specially configured to execute the corresponding steps, or implemented by a processor configured to execute the corresponding steps, or stored in a computer-readable medium for implementation by a processor, or implemented by some combination.

The hardware structure of the image processing device 1000 can be implemented using a bus architecture. The bus architecture can include any number of interconnected buses and bridges, depending on the specific application and overall design constraints of the hardware. The bus 1100 connects various circuits including one or more processors 1200, memory 1300 and/or hardware modules together. The bus 1100 can also connect various other circuits 1400 such as peripherals, voltage regulators, power management circuits, external antennas, etc.

The bus 1100 may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Component (EISA) bus, etc. A bus may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, only one connecting line is used in the figure, but it does not mean that there is only one bus or one type of bus.

Fig. 7 is a schematic diagram of an image processing device using a hardware implementation of a processing system according to another embodiment of the present invention. Referring to Fig. 7, the present invention further provides an image processing device 1000, which may include a target image generation module 1001, a display module 1002, a receiving module 1004, an interest region determination module 1005, a reconstruction region determination module 1006, and an image reconstruction module 1008.

Before the display module 1002 displays the target image, the target image generation module 1001 first obtains the target image in one of the following ways. Way 1: Control the image reconstruction module 1008 to perform a first reconstruction on the scanned image of the scanned object, and obtain the target image based on the result of the first reconstruction. The spatial resolution corresponding to the first reconstruction is less than or equal to the spatial resolution corresponding to the second reconstruction, and the second reconstruction corresponds to the process of obtaining a three-dimensional CT image by reconstruction. Way 2: Obtain a corresponding preset image as the target image according to the first imaging field of view. The preset image contains a representation of the preset structure of the scanned object.

The target image may be a cross-sectional view.

The method for the target image generation module 1001 to obtain the target image based on the result of the first reconstruction may include the following steps: obtaining the target image according to the target section and the result of the first reconstruction, wherein the target section may have a preset distance from the preset position of the first image, the first image corresponds to the result of the first reconstruction, and the preset position may be located at the spatial edge of the first image.

The interest region determination module 1005 can obtain the currently determined interest region through the overlapped area between the preset target region and the target image. The target region can change its position on the target image in response to the received movement instruction. The target region can change its size in response to the received first instruction.

The receiving module 1004 may acquire the reconstruction instruction by monitoring that a target event is triggered on a page of the determined area of interest.

The method by which the reconstruction region determination module 1006 obtains the reconstruction region based on the currently determined region of interest may include the following steps: obtaining the reconstruction region based on the position feature, size and a preset first length of the currently determined region of interest, wherein the first length is the length in a direction perpendicular to the target image in the three-dimensional image space. The position feature may include: relative position information between the position of the center point of the region of interest in the target image and the position of the center point of the target image.

Any process or method description in the flowchart or otherwise described herein may be understood to represent a module, fragment or portion of a code including one or more executable instructions for implementing the steps of a specific logical function or process, and the scope of the preferred embodiments of the present invention includes other implementations, in which the functions may not be performed in the order shown or discussed, including in a substantially simultaneous manner or in a reverse order according to the functions involved, which should be understood by a person skilled in the art of the present invention. The processor performs the various methods and processes described above. For example, the method implementation in the present invention may be implemented as a software program, which is tangibly contained in a machine-readable medium, such as a memory. In some embodiments, part or all of the software program may be loaded and/or installed via a memory and/or a communication interface. When the software program is loaded into the memory and executed by the processor, one or more steps in the method described above may be performed. Alternatively, in other embodiments, the processor may be configured to perform one of the above methods in any other appropriate manner (e.g., by means of firmware).

The logic and/or steps represented in the flowchart or otherwise described herein may be embodied in any readable storage medium for use by an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other system that can fetch instructions from and execute instructions to an instruction execution system, apparatus, or device), or used in conjunction with such instruction execution systems, apparatuses, or devices.

It should be understood that the various parts of the present invention can be implemented by hardware, software or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

A person skilled in the art can understand that all or part of the steps of the above-mentioned implementation method can be completed by instructing the relevant hardware through a program, and the program can be stored in a readable storage medium, and when the program is executed, it includes one or a combination of the steps of the method implementation. The storage medium can be a volatile/non-volatile storage medium.

In addition, each functional unit in each embodiment of the present invention may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a readable storage medium. The storage medium may be a read-only memory, a disk or an optical disk, etc.

The present invention also provides an electronic device, comprising: a memory, the memory storing execution instructions; and a processor or other hardware module, the processor or other hardware module executes the execution instructions stored in the memory, so that the processor or other hardware module executes the image processing method of any of the above-mentioned embodiments.

The present invention also provides a computer-readable storage medium, in which execution instructions are stored. When the execution instructions are executed by a processor, they are used to implement the image processing method of any of the above-mentioned embodiments.

For the purposes of this specification, a "readable storage medium" may be any device that can contain, store, communicate, propagate or transmit a program for use with or in conjunction with an instruction execution system, device or apparatus. More specific examples (a non-exhaustive list) of readable storage media include the following: an electrical connection with one or more wirings (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and editable read-only memory (EPROM or flash memory), a fiber optic device, and a portable read-only memory (CDROM). In addition, the readable storage medium may even be paper or other suitable medium on which the program may be printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a memory.

The present invention also provides a computer program product, including a computer program/instruction, which implements the image processing method of any of the above embodiments when executed by a processor.

In the description of this specification, the description with reference to the terms "one embodiment/method", "some embodiments/methods", "specific examples", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment/method or example are included in at least one embodiment/method or example of the present invention. In this specification, the schematic representations of the above terms are not necessarily the same embodiment/method or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments/methods or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments/methods or examples described in this specification and the features of the different embodiments/methods or examples, unless they are contradictory.

In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

It should be understood by those skilled in the art that the above embodiments are only for the purpose of clearly illustrating the present invention, and are not intended to limit the scope of the present invention. For those skilled in the art, other changes or modifications may be made based on the above invention, and these changes or modifications are still within the scope of the present invention.

Claims (15)

1. An image processing method, comprising:

Displaying a target image, wherein the size of the target image corresponds to a first imaging visual field range, the first imaging visual field range is the imaging visual field range of a scanned image obtained by scanning a scanned object, the target image comprises a representation of a target body, and the representation of the target body corresponds to a part of structure in the scanned object;

Responsive to the received reconstruction indication, obtaining a reconstruction region from a currently determined region of interest, the region of interest corresponding to a partial region within the target image, the region of interest comprising at least a partial region of the target volume; and

And reconstructing according to the reconstruction region and the scanned image of the scanned object to obtain a three-dimensional CT image.

2. The image processing method according to claim 1, wherein the target image is obtained by one of the following before being displayed:

In a first mode, a first reconstruction is performed on a scanned image of a scanned object, a target image is obtained based on the result of the first reconstruction, the spatial resolution corresponding to the first reconstruction is smaller than or equal to the spatial resolution corresponding to the second reconstruction, and the second reconstruction corresponds to the process of obtaining the three-dimensional CT image through reconstruction;

in a second mode, a corresponding preset image is obtained as a target image according to the first imaging visual field range, wherein the preset image comprises a preset representation of a scanned object structure.

3. The image processing method according to claim 2, wherein the target image is a sectional view.

4. The image processing method according to claim 3, wherein obtaining the target image based on the result of the first reconstruction includes:

And obtaining a target image according to the target section and the result of the first reconstruction.

5. The image processing method according to claim 4, wherein the target cross section has a preset distance from a preset position of a first image, the first image corresponding to a result of the first reconstruction, the preset position being located at a spatial edge of the first image.

6. The image processing method according to any one of claims 3 to 5, wherein the target image is a cross-sectional image.

7. The image processing method according to any one of claims 3 to 5, wherein the currently determined region of interest is obtained by an overlap region between a preset target region and the target image, the target region being subject to a positional change on the target image in response to the received movement indication.

8. The image processing method of claim 7, wherein the target region changes its size in response to the received first indication.

9. The image processing method according to any one of claims 3-5, wherein the reconstruction indication is obtained by monitoring that a target event is triggered on a page defining the region of interest.

10. The image processing method according to any one of claims 3-5, wherein obtaining the reconstructed region from the currently determined region of interest comprises:

and obtaining a reconstruction region according to the position characteristics and the size of the currently determined region of interest and a preset first length, wherein the first length is a length in a direction perpendicular to the target image in a three-dimensional image space.

11. The image processing method according to claim 10, wherein the position feature includes: and the relative position information of the center point of the interest area between the position of the target image and the position of the center point of the target image.

12. The method of claim 1, wherein the scanned object corresponds to at least a partial region of a human head and the target volume comprises teeth.

13. An electronic device, comprising:

a memory storing execution instructions; and

A processor executing the execution instructions stored in the memory, causing the processor to execute the image processing method according to any one of claims 1 to 12.

14. A readable storage medium having stored therein execution instructions which, when executed by a processor, are adapted to carry out the image processing method according to any one of claims 1 to 12.

15. A computer program product comprising computer programs/instructions which, when executed by a processor, implement the image processing method of any of claims 1 to 12.