CN111161369B - Image reconstruction storage method, device, computer equipment and storage medium - Google Patents
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Abstract
The application relates to an image reconstruction storage method, an image reconstruction storage device, computer equipment and a storage medium. The method comprises the following steps: acquiring scanning data of an object to be detected and two different reconstruction parameters; respectively carrying out data reconstruction on the scanning data by adopting the two different reconstruction parameters to obtain a first sequence image and a second sequence image; the resolution of the first sequence of images is higher than the resolution of the second sequence of images, both the first sequence of images and the second sequence of images comprising a region of interest; fusing part of slice images in the first sequence image and part of slice images in the second sequence image to obtain a third sequence image, and storing the third sequence image; the third sequence of images includes the region of interest. The method can solve the problems of image reconstruction precision and data storage space.
Description
Technical Field
The present application relates to the field of image storage technologies, and in particular, to an image reconstruction storage method, an image reconstruction storage device, a computer device, and a storage medium.
Background
Since computed tomography CT imaging has a high image resolution, it is widely used for fine detection of various parts of a patient's body, and after a patient is scanned by a CT apparatus, an image can be reconstructed from scanned data, and a reconstruction interval is usually set during image reconstruction, where the reconstruction interval is an interval between every two reconstructed images, and then a multi-layer image of the patient is reconstructed based on the reconstruction interval, which may also be referred to as a sequence image.
Usually, a small reconstruction interval is used for reconstructing an image, so that a finer information expression of a scanning part can be obtained, but the data storage space is also enlarged during storage, and a large reconstruction interval is used for reconstructing an image, so that the data storage space can be reduced during storage, but the focus area is easy to carry out missed diagnosis and misdiagnosis during later diagnosis of a patient by using the stored image.
It can be seen that the above-mentioned technique has a problem that it is difficult to compromise the image reconstruction accuracy and the data storage space.
Disclosure of Invention
In view of the foregoing, it is desirable to provide an image reconstruction storage method, apparatus, computer device, and storage medium that can achieve both of image reconstruction accuracy and data storage space.
An image reconstruction storage method, the method comprising:
Acquiring scanning data of an object to be detected and two different reconstruction parameters;
respectively carrying out data reconstruction on the scanning data by adopting two different reconstruction parameters to obtain a first sequence image and a second sequence image; the resolution of the first sequence of images is higher than the resolution of the second sequence of images, both the first sequence of images and the second sequence of images comprising a region of interest;
carrying out fusion processing on the partial slice images in the first sequence image and the partial slice images in the second sequence image to obtain a third sequence image, and storing the third sequence image; the third sequence of images includes a region of interest.
An image reconstruction storage device, the device comprising:
the acquisition module is used for acquiring scanning data of an object to be detected and two different reconstruction parameters;
The reconstruction module is used for carrying out data reconstruction on the scanning data by adopting the two different reconstruction parameters respectively to obtain a first sequence image and a second sequence image; the resolution of the first sequence of images is higher than the resolution of the second sequence of images, both the first sequence of images and the second sequence of images comprising a region of interest;
The fusion module is used for carrying out fusion processing on the partial slice images in the first sequence image and the partial slice images in the second sequence image to obtain a third sequence image, and storing the third sequence image; the third sequence of images includes the region of interest.
A computer device comprising a memory storing a computer program and a processor which when executing the computer program performs the steps of:
Acquiring scanning data of an object to be detected and two different reconstruction parameters;
respectively carrying out data reconstruction on the scanning data by adopting the two different reconstruction parameters to obtain a first sequence image and a second sequence image; the resolution of the first sequence of images is higher than the resolution of the second sequence of images, both the first sequence of images and the second sequence of images comprising a region of interest;
Fusing part of slice images in the first sequence image and part of slice images in the second sequence image to obtain a third sequence image, and storing the third sequence image; the third sequence of images includes the region of interest.
A readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:
Acquiring scanning data of an object to be detected and two different reconstruction parameters;
respectively carrying out data reconstruction on the scanning data by adopting the two different reconstruction parameters to obtain a first sequence image and a second sequence image; the resolution of the first sequence of images is higher than the resolution of the second sequence of images, both the first sequence of images and the second sequence of images comprising a region of interest;
Fusing part of slice images in the first sequence image and part of slice images in the second sequence image to obtain a third sequence image, and storing the third sequence image; the third sequence of images includes the region of interest.
According to the image reconstruction storage method, the device, the computer equipment and the storage medium, the scanning data of the object to be detected and two different reconstruction parameters are acquired, the scanning data are respectively subjected to data reconstruction by adopting the two different reconstruction parameters, so that a first sequence image and a second sequence image are obtained, the resolution of the first sequence image is higher than that of the second sequence image, the first sequence image and the second sequence image both comprise regions of interest, the partial slice images in the first sequence image and the partial slice images in the second sequence image are subjected to fusion processing, a third sequence image is obtained, and the third sequence image comprises the regions of interest. In the method, the third sequence image which is finally stored is obtained after the partial slice image in the high-resolution sequence image and the partial slice image in the low-resolution sequence image are fused, so that the high-resolution information about the focus area can be reserved in the third sequence image, namely, the reconstruction accuracy of the focus area of the image can be ensured to be higher, the focus area of a patient can be conveniently analyzed and processed in the later period, and the low-resolution information about the focus area except the focus area can be reserved, namely, a part of data storage space can be saved, and the method can solve the problems of the image reconstruction accuracy and the data storage space to a certain extent.
Drawings
FIG. 1 is an internal block diagram of a computer device in one embodiment;
FIG. 2 is a flow chart of an image reconstruction and storage method according to one embodiment;
FIG. 3 is a flow chart of an image reconstruction and storage method according to another embodiment;
FIG. 4a is a flowchart of an image reconstruction and storage method according to another embodiment;
FIG. 4b is a schematic diagram of an image fusion process in one embodiment;
FIG. 5 is a flow chart of an image reconstruction and storage method according to another embodiment;
fig. 6 is a block diagram of an image reconstruction storage device in one embodiment.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
At present, the incidence rate of lung cancer is higher and the threat to human health is larger, and most of the reasons are that the detection of malignant lung nodules of the lung is very difficult, so that more and more hospitals adopt computed tomography CT to detect the lung nodules of patients, so that the detection precision and speed of the patients are improved. When a patient is detected by CT, a plurality of layers of spiral CT are mostly adopted to scan the patient, a fixed reconstruction interval is generally set after scanning to reconstruct data, but for a lung CT scan, thin layer data of each patient basically have hundreds of pieces of fragment imaging, if the whole body CT scan is adopted, the data volume is larger, thus a larger data storage space and access bandwidth are needed, if the storage space is saved, the CT data is reconstructed by setting a larger layer thickness and layer spacing (namely a larger reconstruction interval) in a low resolution, and the detail information of a tiny focus on the CT data of the patient is easy to lose or express unclear, so that a doctor can take out diagnosis or misdiagnosis when checking the focus. Therefore, embodiments of the present application provide an image reconstruction storage method, apparatus, computer device, and storage medium, which aim to solve some of the above problems.
The image reconstruction storage method provided by the embodiment of the application can be applied to computer equipment, the computer equipment can be a part of the inside of medical imaging equipment, and also can be external computer equipment matched with the medical imaging equipment, the computer equipment can be a terminal, such as a notebook computer, a desktop computer, an industrial computer and the like, and the internal structure diagram of the computer equipment can be shown as figure 1. The computer device includes a processor, a memory, a network interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement an image reconstruction storage method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, can also be keys, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
It will be appreciated by those skilled in the art that the architecture shown in fig. 1 is merely a block diagram of some of the architecture relevant to the present inventive arrangements and is not limiting as to the computer device to which the present inventive arrangements may be implemented, as a particular computer device may include more or less components than those shown, or may be combined with some components, or may have a different arrangement of components.
The execution subject of the embodiments of the present application may be an image reconstruction storage device or a computer device, and the following embodiments describe the execution subject by using the computer device as the execution subject.
In one embodiment, an image reconstruction storage method is provided, and this embodiment relates to a specific process of reconstructing two images with different resolutions according to different reconstruction parameters, and fusing and storing partial slice images in the two images with different resolutions. As shown in fig. 2, the method may include the steps of:
s202, acquiring scanning data of an object to be detected and two different reconstruction parameters.
Wherein the reconstruction parameters may include reconstruction interval and other parameters such as reconstruction layer thickness, reconstruction resolution, etc.; the two different reconstruction parameters may include a first reconstruction parameter and a second reconstruction parameter, where the first reconstruction parameter and the second reconstruction parameter are different reconstruction parameters. In addition, the scan data may be data obtained after scanning the object to be detected with a scanning device, which may be a helical CT device (Computed Tomography, electronic computer tomography).
Specifically, when or before the object to be detected is detected, the scanning device may be used to scan the object to be detected to obtain scanning data, and then the scanning data is transmitted to the computer device, so that the computer device may obtain the scanning data of the object to be detected. Meanwhile, before the computer equipment reconstructs the scanning data, different reconstruction parameters can be preset.
S204, respectively carrying out data reconstruction on the scanning data by adopting two different reconstruction parameters to obtain a first sequence image and a second sequence image; the resolution of the first sequence of images is higher than the resolution of the second sequence of images, both the first sequence of images and the second sequence of images comprising the region of interest.
The region of interest may be a focal region, for example, a lung of a human body, a lung nodule, a heart of a human body, a heart focus of a human body, a kidney stone, and the like; in addition, the region of interest here may be one or a plurality of regions.
Specifically, after obtaining the scan data and two different reconstruction parameters (including a first reconstruction parameter and a second reconstruction parameter), the computer device may reconstruct the scan data using the first reconstruction parameter to obtain a first sequence image, and reconstruct the scan data using the second reconstruction parameter to obtain a second sequence image, where each sequence image includes at least one slice image; meanwhile, the resolution of the first sequence image obtained is higher than that of the second sequence image; here, the first reconstruction parameter may be regarded as a reconstruction parameter corresponding to the first sequence image, and the second reconstruction parameter may be regarded as a reconstruction parameter corresponding to the second sequence image. Second, here both the first sequence image and the second sequence image comprise a region of interest.
For example, when the helical CT scan is completed, the two-dimensional image can be reconstructed from any point on the Z-axis, and the scan data can be used repeatedly, and multiple sequences can be reconstructed according to the reconstruction interval (the distance between adjacent image centers of the helical CT reconstruction in the longitudinal axis direction), for example: the scanning range is 100mm, the collimation width is 10mm, if the reconstruction interval is 10mm, 10 images similar to the conventional tomography are obtained, if the reconstruction interval is 5mm, 20 images with the thickness of 10mm are obtained, and in the same scanning range, the smaller the reconstruction interval is, the larger the number of reconstructed slice images is, and the higher the resolution is. Therefore, according to the scan data, two different reconstruction intervals are set, so that two sequence images can be reconstructed, for example, a first sequence image can be set as a smaller reconstruction interval, a higher resolution sequence image can be reconstructed, a second sequence image can be set as a larger reconstruction interval, and a lower resolution sequence image can be reconstructed.
S206, carrying out fusion processing on the partial slice images in the first sequence image and the partial slice images in the second sequence image to obtain a third sequence image, and storing the third sequence image; the third sequence of images includes a region of interest.
When the third sequence image is obtained through fusion, a part of slice images in the first sequence image and a part of slice images in the second sequence image can be selected according to a certain rule, and the two images are fused, and optionally, the certain rule can be that the part of slice images corresponding to the region of interest in the first sequence image and the part of slice images except the region of interest in the second sequence image are fused, so that the third sequence image is obtained; optionally, the fusion processing may be performed on a part of slice images except the region of interest in the first sequence image and a part of slice images corresponding to the region of interest in the second sequence image to obtain a third sequence image; alternatively, the fusion processing may be performed on a portion of the slice image corresponding to the region of interest in the first sequence image and a portion of the slice image corresponding to the region of interest in the second sequence image to obtain the third sequence image, which may, of course, be other cases. However, the present embodiment mainly uses the fusion processing of the partial slice image corresponding to the region of interest in the first sequence image and the partial slice image except for the region of interest in the second sequence image to obtain the third sequence image.
In addition, the fusion process here may be to place the partial slice images in the first sequence image and the partial slice images in the second sequence image in one empty sequence in correspondence with their respective positions, forming a new sequence image, i.e., a third sequence image. The third sequence image obtained in the method comprises partial slice images of the high-resolution first sequence image and partial slice images of the low-resolution second sequence image, so that the first sequence image and the second sequence image do not need to be completely saved when the third sequence image is saved, only partial images of the high-resolution sequence image and partial images of the low-resolution sequence image are needed, on one hand, the data storage space can be reduced, on the other hand, when the data are analyzed in the future, accurate analysis results can be obtained through the saved partial high-resolution information, and more comprehensive analysis can be performed through the saved low-resolution information, so that the reconstruction accuracy of the data can be ensured.
Specifically, after the first sequence image and the second sequence image are obtained, the computer device may select a part of slice images in the first sequence image and a part of slice images in the second sequence image according to a certain rule, and fuse the two to obtain a third sequence image and store the third sequence image, so as to later retrieve the third sequence image to analyze and process the data of the region of interest.
In the image reconstruction storage method, the scanning data of the object to be detected and two different reconstruction parameters are acquired, the scanning data are respectively subjected to data reconstruction by adopting the two different reconstruction parameters, so that a first sequence image and a second sequence image are obtained, the resolution of the first sequence image is higher than that of the second sequence image, the first sequence image and the second sequence image both comprise the region of interest, the partial slice images in the first sequence image and the partial slice images in the second sequence image are subjected to fusion processing, a third sequence image is obtained, and the third sequence image is stored, wherein the third sequence image comprises the region of interest. In the method, the third sequence image which is finally stored is obtained after the partial slice image in the high-resolution sequence image and the partial slice image in the low-resolution sequence image are fused, so that the high-resolution information about the focus area can be reserved in the third sequence image, namely, the reconstruction accuracy of the focus area of the image can be ensured to be higher, the focus area of a patient can be conveniently analyzed and processed in the later period, and the low-resolution information about the focus area except the focus area can be reserved, namely, a part of data storage space can be saved, and the method can solve the problems of the image reconstruction accuracy and the data storage space to a certain extent.
In one embodiment, another image reconstruction and storage method is provided, and the embodiment relates to a specific process of performing fusion processing on a high-resolution region of interest and a low-resolution region of non-interest to obtain a third sequence image. On the basis of the above embodiment, the step S206 may include the following step a:
And step A, carrying out fusion processing on a part of slice images corresponding to the region of interest in the first sequence image and a part of slice images except the region of interest in the second sequence image to obtain a third sequence image.
In this step, the region of interest may be a focal region, and the number of regions of interest may be one or more.
Specifically, a machine learning algorithm, a neural network algorithm and the like can be adopted to respectively process the first sequence image and the second sequence image to obtain the position of a voxel point of an area of interest in the first sequence image and the position of the voxel point of the area of interest in the second sequence image, then the slice image where the area of interest is located on the first sequence image is obtained through the position of the voxel point of the area of interest in the first sequence image, and the slice image where the area of interest is located on the second sequence image is obtained through the position of the voxel point of the area of interest in the second sequence image; and then, when fusion is carried out, the slice images of the region of interest on the first sequence image are reserved, the slice images except the region of interest on the first sequence image are replaced by the corresponding slice images except the region of interest on the second sequence image, and finally a third sequence image is formed.
According to the image reconstruction storage method provided by the embodiment, the partial slice images corresponding to the region of interest in the first sequence image and the partial slice images except the region of interest in the second sequence image can be fused, so that the third sequence image is obtained. In this embodiment, since the region of interest remains a high-resolution slice image, it is possible to ensure that the region of interest is an image with high reconstruction accuracy, so that a more accurate analysis result can be obtained when the region of interest is analyzed later, and meanwhile, since the non-region of interest remains a low-resolution slice image, a portion of the data storage space can be saved.
In one embodiment, another image reconstruction storage method is provided, and this embodiment relates to a specific process of calculating a position of a region of interest according to a reconstruction parameter and other parameters, and performing fusion processing on a first sequence image and a second sequence image according to the position of the region of interest. On the basis of the above embodiment, as shown in fig. 3, the step a may include the following steps:
s302, calculating first region position coordinates of the region of interest according to reconstruction parameters corresponding to the first sequence images.
The first area position coordinates may be position coordinates of a plurality of points, or may be position coordinates of one point, however, the embodiment mainly refers to position coordinates of a plurality of points; the first region position coordinates refer to position coordinates of the region of interest on the first sequence of images, and may be coordinates of the region of interest under an image coordinate system (or voxel coordinate system, which may also be referred to as voxel coordinate system). In calculating the first region position coordinates, the following steps A1 and A2 may be optionally adopted, as follows:
and A1, acquiring the position coordinates of a physical region of the region of interest under a world coordinate system.
And A2, calculating the first region position coordinate of the region of interest under the image coordinate system according to the physical region position coordinate and the reconstruction parameters corresponding to the first sequence image.
Specifically, the first sequence image may be detected according to a machine learning algorithm, etc., to obtain position coordinates of each point on the bounding box of the region of interest under a world coordinate system (may also be referred to as a physical coordinate system), and the position coordinates are recorded as physical region position coordinates of the region of interest. After obtaining the physical region position coordinates of the region of interest, the physical region position coordinates may be converted into region position coordinates under an image coordinate system, where the parameters according to the conversion may include a reconstruction parameter corresponding to the first sequence image, an origin related parameter under a world coordinate system, and the like, and the conversion may be performed according to a relational expression (1), where the relational expression (1) is as follows:
Image region position coordinates= (physical region position coordinates-origin coordinates)/reconstruction parameters (1)
In the relational expression (1), the image region position coordinates refer to first region position coordinates of the region of interest under an image coordinate system, which may also be referred to as voxel coordinates, the origin coordinates refer to origin coordinates under a world coordinate system, which may be preset, that is, known amounts, before reconstructing the first sequence of images, and the reconstruction parameters refer to reconstruction parameters corresponding to the first sequence of images, which may be reconstruction intervals.
By substituting the physical region position coordinates and the origin coordinates of each point of the region of interest and the reconstruction parameters corresponding to the first sequence image into the relational expression (1), the position coordinates of each point of the region of interest under the image coordinate system can be obtained and all the position coordinates are recorded as the first region position coordinates.
For example, assuming that the first sequence image has a size of 512×512×506, the world coordinates= (-107.61, -108.47, -273.49), the origin coordinates= (-183.17, -304.67, -404.50), the reconstruction parameters= (0.67,0.67,0.7) of a point on the region of interest:
the x-axis voxel coordinates of this point= (-107.61- (-183.17))/0.67 = 112.78;
The y-axis voxel coordinates of this point= (-108.47- (-304.67))/0.67 = 292.84;
The z-axis voxel coordinates of this point= (-273.49- (-404.50))/0.7 = 187.16;
the voxel coordinates of this point are therefore (112.78,292.84,187.16).
S304, determining a slice image where the first region position coordinate is located on the first sequence image according to the first region position coordinate.
Specifically, the computer device may find the voxel coordinates of the point at the top end and the voxel coordinates of the point at the bottom end of the region of interest along the Z-axis direction in the above-mentioned first region position coordinates, and find the corresponding slice range on the first sequence image by using the voxel coordinates of the point at the top end and the voxel coordinates of the point at the bottom end, so that the slice corresponding to all the points between the top end and the bottom end of the region of interest is also in the found slice range, and the slice image in which the first region position coordinates are located may be obtained.
Illustratively, continuing with the example of the data of S302 above, if the voxel point coordinates of the top and bottom points of the region of interest are calculated to be (112.78,292.84,187.16) and (112.78,292.84,207.16), then it may be determined on the first sequence of images that the slice range of the region of interest is from layer 187 to layer 207.
S306, fusing the slice image with the position coordinates of the first region and part of the slice images except the region of interest in the second sequence image to obtain a third sequence image.
Before the fusion, the slice range of the non-interested region on the second sequence image can be calculated, and then the non-interested region is fused with the interested region slice of the first sequence image. Alternatively, the process of calculating and fusing may be shown in fig. 4a, and as shown in fig. 4a, S306 may include the following steps S402-S408:
S402, calculating second region position coordinates of the region of interest according to the reconstruction parameters and/or the first region position coordinates corresponding to the second sequence.
The second area position coordinates may be the position coordinates of a plurality of points, or may be the position coordinates of one point, as in the first area position coordinates, but the present embodiment mainly refers to the position coordinates of a plurality of points; the second region position coordinates refer to position coordinates of the region of interest on the second sequence of images, and may be coordinates (or voxel coordinate system) of the region of interest under the image coordinate system. In calculating the second region position coordinates, the following steps B1 and B2 may be optionally employed, as follows:
and B1, acquiring the position coordinates of the physical region of the region of interest under the world coordinate system.
And B2, calculating a second region position coordinate of the region of interest under the image coordinate system according to the physical region position coordinate and the reconstruction parameter and/or the first region position coordinate corresponding to the second sequence image.
In this step the world coordinate system of the first and second sequence images at reconstruction is identical, (in this world coordinate system the position of the whole model is well defined and does not change, e.g. the position of parts of the scanning device, the position of the patient, etc.), so that the position of the region of interest in the world coordinate system in the scan data upon reconstruction of the first and second sequence images is unchanged, i.e. the physical region coordinate position of the region of interest in the world coordinate system is identical, irrespective of whether the first or second sequence images are reconstructed.
In this embodiment, two methods may be used to calculate the position coordinate of the second region, one is obtained by calculating the position coordinate of the physical region and the reconstruction parameter corresponding to the second sequence, and the other is obtained by calculating the position coordinate of the physical region and the position coordinate of the first region and the reconstruction parameter corresponding to the second sequence. The specific procedures of these two calculation methods are given below:
In the first calculation method, since the positions of the region of interest in the first sequence image and the second sequence image in the world coordinate system are the same, the physical region position coordinates of the region of interest on the first sequence image obtained in S302 above, that is, the physical region position coordinates of the region of interest on the second sequence image here, may be recorded as the physical region position coordinates of the region of interest. After obtaining the physical region position coordinates of the region of interest, the physical region position coordinates may be converted to region position coordinates under an image coordinate system, where the parameters according to the conversion may include a reconstruction parameter corresponding to the second sequence image, an origin related parameter under the world coordinate system, and the like, and the conversion may be continued according to the relation (1) in the specific conversion, where the image region position coordinates refer to the second region position coordinates of the region of interest under the image coordinate system, and may also be referred to as voxel coordinates, the origin coordinates refer to the origin coordinates under the world coordinate system, and may be preset, that is, a known quantity, the same as the first region position coordinates, and the reconstruction parameters refer to the reconstruction parameters corresponding to the second sequence image, and may be reconstruction intervals.
And substituting the physical region position coordinates and the origin coordinates of each point of the region of interest and the reconstruction parameters corresponding to the second sequence image into the relational expression (1), so that the position coordinates of each point of the region of interest under the image coordinate system can be obtained and all the position coordinates are recorded as the second region position coordinates.
In the second calculation method, since the positions of the interested areas in the first sequence image and the second sequence image in the world coordinate system are the same, the original point coordinates are the same, the product of the first area position coordinates and the first reconstruction parameters is equal to the product of the second area position coordinates and the second reconstruction parameters through the relational expression (1), and the first reconstruction parameters, namely, the first area position coordinates and the first reconstruction parameters and the second reconstruction parameters of each point of the interested area, can be obtained in the previous content, namely, the first area position coordinates and the first reconstruction parameters and the second reconstruction parameters of each point of the interested area can be calculated through the equal relational expression.
S404, determining a slice image where the second region position coordinates are located on the second sequence image according to the second region position coordinates.
Specifically, the computer device may find the voxel coordinates of the point at the top end and the voxel coordinates of the point at the bottom end of the region of interest along the Z-axis direction in the above second region position coordinates, and find the corresponding slice range on the second sequence image by using the voxel coordinates of the point at the top end and the voxel coordinates of the point at the bottom end, so that the slice corresponding to all the points between the top end and the bottom end of the region of interest is also in the found slice range, and the slice image in which the second region position coordinates are located may be obtained.
S406, determining the rest slice images except the slice images with the second region position coordinates on the second sequence image according to the slice images with the second region position coordinates.
Specifically, when the second sequence image is obtained through reconstruction, the total slice range of the second sequence image can be obtained synchronously, after the slice range corresponding to the region of interest on the second sequence image is obtained, the slice range corresponding to the region of interest can be subtracted from the total slice range, and the slice range corresponding to the non-region of interest on the second sequence image can be obtained, and the slice of the non-region of interest on the slice range corresponding to the second sequence image can be recorded as a residual slice image.
For example, if the second sequence of images has 100 slice images, the slice range in which the region of interest is located is calculated to be 29-35 slices on the second sequence of images, then the slice images in which the region of non-interest is located are 1-28 slices and 36-100 slices.
S408, fusing the slice image where the first region position coordinates are located with the rest slice images.
Specifically, referring to fig. 4b, fig. 4b shows a first sequence image in fig. 4b, fig. 4b shows a second sequence image in fig. 4b shows a third sequence image in fig. 4b, a slice image in which a region of interest is located is detected on the first sequence image in fig. 4b, a position of a picture frame in fig. 4 a, that is, a slice image in which a first region position coordinate is located, a slice image in which a region of interest is located is also detected on the second sequence image in fig. 4b, a position of a picture frame in fig. 4b, that is, a slice image in which a second region position coordinate is located, may be obtained on the second sequence image, a slice image in which a remaining region of interest is located on the second sequence image may be retained, and a remaining slice image in which a region of interest is not located on the second sequence image may be filled in a corresponding position in the first sequence image, to obtain a third sequence image; or the slice in the range of the region of interest is filled with the slice corresponding to the first sequence image, and the slice in the range of the non-region of interest is filled with the slice corresponding to the second sequence image, so as to obtain the third sequence image.
According to the image reconstruction storage method provided by the embodiment, the slice image of the region of interest on the first sequence image and the slice image of the non-region of interest on the second sequence image can be calculated according to the reconstruction parameters of the first sequence image, the reconstruction parameters of the second sequence image and some physical parameters, and the slice image are fused to obtain the third sequence image. In this embodiment, the process of calculating the slice range of the region of interest on the first sequence image and the process of calculating the slice range of the non-region of interest on the second sequence image are relatively simple and accurate, so that the method can quickly obtain the third sequence image, improve the efficiency of reconstructing and storing the whole image, and simultaneously make the obtained third sequence image more accurate.
In one embodiment, another image reconstruction storage method is provided, and this embodiment relates to a specific process of how to perform weighted superposition on medical images of different modalities. On the basis of the above embodiment, as shown in fig. 5, the above method may further include the steps of:
S502, at least one medical image of an object to be detected is acquired; the modality of the at least one medical image and the modality of the third sequence of images are different, the at least one medical image comprising a region of interest.
S504, performing weighted fusion or weighted superposition processing on at least one medical image and the third sequence image, and displaying the processed image.
The mode of the third sequence image may be a CT mode, and the mode of the at least one medical image may be any mode of CT, PET, MR, but in this embodiment, the mode of the at least one medical image cannot be the same as the mode of the third sequence image, for example, the mode of the third sequence image is CT, and the mode of the at least one medical image cannot be CT, and may be any mode of MR, PET, and the like.
In this embodiment, since the medical images of different modalities can provide different information about relevant organs and tissues of the human body, when the medical devices of different modalities detect the human body, the information of different modalities obtained by detecting the same organ of the human body can be different or complementary to each other, so that the information of different modalities can be synthesized to detect the human body, and more information is provided to the doctor, so that the doctor can make more accurate detection results. For example, the image of the PET mode can provide detailed functional and metabolic information of the focus, the image of the CT mode can provide accurate anatomical positioning of the focus, and a tomographic image of each direction of the whole body can be obtained by one-time imaging, so that after the two modes of images are fused, the accurate human anatomy and the metabolic activity of organs can be observed at the same time through the fused images, thus a doctor can more intuitively observe the medical image of each mode to obtain more accurate detection results.
In addition, the weighted fusion or weighted superposition may be that a weight coefficient is set for at least one medical image and the third sequence image, each layer of images of each mode image is multiplied by a corresponding weight coefficient, and then the weighted mode images are displayed in a superimposed manner. For example, assuming that the third sequence image is a, at least one medical image is B, and the fused image is F, the manner of performing weighted fusion processing on the images of the A, B modes can be expressed as the following formula (2):
F(i,j)＝αA(i,j)+βB(i,j) (2)
In formula (2), i denotes a row of image pixels, j denotes a column of image pixels, α denotes a weighting coefficient 1, β denotes a weighting coefficient 2, and generally α+β=1.
Specifically, the computer device may scan the object to be detected by using the scanning device and reconstruct data of the scan data to obtain at least one medical image, or may obtain at least one medical image by using a pre-stored medical image of the object to be detected, and of course, there may also be other manners, which are not listed here, but the mode of at least one medical image is different from the mode of the third sequence image. Then, the third sequence image and at least one medical image can be multiplied by the corresponding weight coefficients respectively, and the weighted mode images are displayed in a superimposed mode.
According to the image reconstruction storage method, at least one medical image of an object to be detected is obtained, the mode of the at least one medical image is different from the mode of the third sequence image, the at least one medical image comprises an interested region, the at least one medical image and the third sequence image are subjected to weighted fusion or weighted superposition, and the processed images are displayed. In this embodiment, since the medical images of different modalities have advantages and disadvantages, after the medical image information of different modalities is properly weighted and fused, the information of a plurality of images can be simultaneously expressed on one image, so that more information about the region of interest or the focus can be provided for the doctor, and the detection result obtained by the doctor when detecting the region of interest or the focus is more accurate, thereby improving the detection accuracy.
It should be understood that, although the steps in the flowcharts of fig. 2-3, 4a, 5 are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps of fig. 2-3, 4a, 5 may comprise a plurality of sub-steps or phases, which are not necessarily performed at the same time, but may be performed at different times, nor does the order of execution of the sub-steps or phases necessarily follow one another, but may be performed alternately or alternately with at least some of the other steps or sub-steps of other steps.
In one embodiment, as shown in fig. 6, there is provided an image reconstruction storage apparatus including: an acquisition module 10, a reconstruction module 11 and a fusion module 12, wherein:
an acquisition module 10, configured to acquire scan data of an object to be detected and two different reconstruction parameters;
The reconstruction module 11 is configured to perform data reconstruction on the scan data by using the two different reconstruction parameters, so as to obtain a first sequence image and a second sequence image; the resolution of the first sequence of images is higher than the resolution of the second sequence of images, both the first sequence of images and the second sequence of images comprising a region of interest;
a fusion module 12, configured to perform fusion processing on a part of slice images in the first sequence image and a part of slice images in the second sequence image, obtain a third sequence image, and store the third sequence image; the third sequence of images includes the region of interest.
For specific limitations of the image reconstruction storage device, reference may be made to the above limitations of the image reconstruction storage method, and no further description is given here.
In another embodiment, the above-mentioned fusion module 12 is further configured to perform a fusion process on a portion of the slice images corresponding to the region of interest in the first sequence image and a portion of the slice images except for the region of interest in the second sequence image, so as to obtain the third sequence image.
In another embodiment, another image reconstruction storage device is provided, and the fusion module 12 may include a calculation unit, a determination unit, and a fusion unit, where:
The calculation unit is used for calculating first region position coordinates of the region of interest according to reconstruction parameters corresponding to the first sequence images;
A determining unit, configured to determine, on the first sequence image, a slice image in which the first region position coordinate is located according to the first region position coordinate;
And the fusion unit is used for carrying out fusion processing on the slice image where the position coordinates of the first region are located and part of slice images except the region of interest in the second sequence image to obtain the third sequence image.
Optionally, the calculating unit is further configured to obtain a physical region position coordinate of the region of interest in a world coordinate system; and calculating the first region position coordinate of the region of interest under an image coordinate system according to the physical region position coordinate and the reconstruction parameters corresponding to the first sequence image.
In another embodiment, another image reconstruction storage device is provided, and the fusion unit may include: a computing subunit, a first determining subunit, a second determining subunit, and a fusing subunit, wherein:
a calculating subunit, configured to calculate a second region position coordinate of the region of interest according to the reconstruction parameter and/or the first region position coordinate corresponding to the second sequence;
A first determining subunit, configured to determine, on the second sequence image, a slice image in which the second region position coordinate is located according to the second region position coordinate;
A second determining subunit, configured to determine, on the second sequence image, remaining slice images except for the slice image where the second region position coordinate is located, according to the slice image where the second region position coordinate is located;
And the fusion subunit is used for carrying out fusion processing on the slice image where the position coordinates of the first area are located and the residual slice image.
Optionally, the calculating subunit is further configured to obtain a physical area position coordinate of the region of interest under a world coordinate system; and calculating second region position coordinates of the region of interest under an image coordinate system according to the physical region position coordinates and reconstruction parameters corresponding to the second sequence images and/or the first region position coordinates.
In another embodiment, another image reconstruction storage device is provided, and on the basis of the above embodiment, the device may further include a weighted fusion module, where the weighted fusion module is configured to acquire at least one medical image of the object to be detected; the modality of the at least one medical image and the modality of the third sequence of images are different, the at least one medical image comprising the region of interest; and carrying out weighted fusion or weighted superposition processing on the at least one medical image and the third sequence image, and displaying the processed images.
For specific limitations of the image reconstruction storage device, reference may be made to the above limitations of the image reconstruction storage method, and no further description is given here.
The respective modules in the image reconstruction storage apparatus described above may be implemented in whole or in part by software, hardware, or a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided comprising a memory and a processor, the memory having stored therein a computer program, the processor when executing the computer program performing the steps of:
Acquiring scanning data of an object to be detected and two different reconstruction parameters;
respectively carrying out data reconstruction on the scanning data by adopting the two different reconstruction parameters to obtain a first sequence image and a second sequence image; the resolution of the first sequence of images is higher than the resolution of the second sequence of images, both the first sequence of images and the second sequence of images comprising a region of interest;
Fusing part of slice images in the first sequence image and part of slice images in the second sequence image to obtain a third sequence image, and storing the third sequence image; the third sequence of images includes the region of interest.
In one embodiment, the processor when executing the computer program further performs the steps of:
And carrying out fusion processing on the partial slice images corresponding to the region of interest in the first sequence image and the partial slice images except the region of interest in the second sequence image to obtain the third sequence image.
In one embodiment, the processor when executing the computer program further performs the steps of:
calculating a first region position coordinate of the region of interest according to reconstruction parameters corresponding to the first sequence image;
Determining a slice image in which the first region position coordinate is located on the first sequence image according to the first region position coordinate;
And carrying out fusion processing on the slice image where the first region position coordinate is located and part of slice images except the region of interest in the second sequence image to obtain the third sequence image.
In one embodiment, the processor when executing the computer program further performs the steps of:
calculating second region position coordinates of the region of interest according to the reconstruction parameters corresponding to the second sequence and/or the first region position coordinates;
Determining a slice image in which the second region position coordinate is located on the second sequence image according to the second region position coordinate;
Determining the rest slice images except the slice images with the second region position coordinates on the second sequence image according to the slice images with the second region position coordinates;
And carrying out fusion processing on the slice image where the first region position coordinate is located and the residual slice image.
In one embodiment, the processor when executing the computer program further performs the steps of:
Acquiring physical region position coordinates of the region of interest under a world coordinate system;
And calculating the first region position coordinate of the region of interest under an image coordinate system according to the physical region position coordinate and the reconstruction parameters corresponding to the first sequence image.
In one embodiment, the processor when executing the computer program further performs the steps of:
Acquiring physical region position coordinates of the region of interest under a world coordinate system;
And calculating second region position coordinates of the region of interest under an image coordinate system according to the physical region position coordinates and reconstruction parameters corresponding to the second sequence images and/or the first region position coordinates.
In one embodiment, the processor when executing the computer program further performs the steps of:
Acquiring at least one medical image of the object to be detected; the modality of the at least one medical image and the modality of the third sequence of images are different, the at least one medical image comprising the region of interest;
And carrying out weighted fusion or weighted superposition processing on the at least one medical image and the third sequence image, and displaying the processed images.
In one embodiment, a readable storage medium is provided having a computer program stored thereon, which when executed by a processor, performs the steps of:
Acquiring scanning data of an object to be detected and two different reconstruction parameters;
respectively carrying out data reconstruction on the scanning data by adopting the two different reconstruction parameters to obtain a first sequence image and a second sequence image; the resolution of the first sequence of images is higher than the resolution of the second sequence of images, both the first sequence of images and the second sequence of images comprising a region of interest;
Fusing part of slice images in the first sequence image and part of slice images in the second sequence image to obtain a third sequence image, and storing the third sequence image; the third sequence of images includes the region of interest.
In one embodiment, the computer program when executed by the processor further performs the steps of:
And carrying out fusion processing on the partial slice images corresponding to the region of interest in the first sequence image and the partial slice images except the region of interest in the second sequence image to obtain the third sequence image.
In one embodiment, the computer program when executed by the processor further performs the steps of:
calculating a first region position coordinate of the region of interest according to reconstruction parameters corresponding to the first sequence image;
Determining a slice image in which the first region position coordinate is located on the first sequence image according to the first region position coordinate;
And carrying out fusion processing on the slice image where the first region position coordinate is located and part of slice images except the region of interest in the second sequence image to obtain the third sequence image.
In one embodiment, the computer program when executed by the processor further performs the steps of:
calculating second region position coordinates of the region of interest according to the reconstruction parameters corresponding to the second sequence and/or the first region position coordinates;
Determining a slice image in which the second region position coordinate is located on the second sequence image according to the second region position coordinate;
Determining the rest slice images except the slice images with the second region position coordinates on the second sequence image according to the slice images with the second region position coordinates;
And carrying out fusion processing on the slice image where the first region position coordinate is located and the residual slice image.
In one embodiment, the computer program when executed by the processor further performs the steps of:
Acquiring physical region position coordinates of the region of interest under a world coordinate system;
And calculating the first region position coordinate of the region of interest under an image coordinate system according to the physical region position coordinate and the reconstruction parameters corresponding to the first sequence image.
In one embodiment, the computer program when executed by the processor further performs the steps of:
Acquiring physical region position coordinates of the region of interest under a world coordinate system;
And calculating second region position coordinates of the region of interest under an image coordinate system according to the physical region position coordinates and reconstruction parameters corresponding to the second sequence images and/or the first region position coordinates.
In one embodiment, the computer program when executed by the processor further performs the steps of:
Acquiring at least one medical image of the object to be detected; the modality of the at least one medical image and the modality of the third sequence of images are different, the at least one medical image comprising the region of interest;
And carrying out weighted fusion or weighted superposition processing on the at least one medical image and the third sequence image, and displaying the processed images.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (SYNCHLINK) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples illustrate only a few embodiments of the application, which are described in detail and are not to be construed as limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of protection of the present application is to be determined by the appended claims.
Claims (10)
1. An image reconstruction storage method, the method comprising:
Acquiring scanning data of an object to be detected and two different reconstruction parameters;
respectively carrying out data reconstruction on the scanning data by adopting the two different reconstruction parameters to obtain a first sequence image and a second sequence image; the resolution of the first sequence of images is higher than the resolution of the second sequence of images, both the first sequence of images and the second sequence of images comprising a region of interest;
Selecting a partial slice image corresponding to the region of interest in the first sequence image and a partial slice image except the region of interest in the second sequence image according to a certain rule, carrying out fusion processing on the partial slice image corresponding to the region of interest in the first sequence image and the partial slice image except the region of interest in the second sequence image to obtain a third sequence image, and storing the third sequence image; the third sequence of images includes the region of interest.
2. The method according to claim 1, wherein the fusing the partial slice image corresponding to the region of interest in the first sequence image and the partial slice image except for the region of interest in the second sequence image to obtain a third sequence image includes:
calculating a first region position coordinate of the region of interest according to reconstruction parameters corresponding to the first sequence image;
Determining a slice image in which the first region position coordinate is located on the first sequence image according to the first region position coordinate;
And carrying out fusion processing on the slice image where the first region position coordinate is located and part of slice images except the region of interest in the second sequence image to obtain the third sequence image.
3. The method according to claim 2, wherein the fusing the slice image in which the first region position coordinates are located and the partial slice image of the second sequence image except the region of interest includes:
calculating second region position coordinates of the region of interest according to the reconstruction parameters corresponding to the second sequence and/or the first region position coordinates;
Determining a slice image in which the second region position coordinate is located on the second sequence image according to the second region position coordinate;
Determining the rest slice images except the slice images with the second region position coordinates on the second sequence image according to the slice images with the second region position coordinates;
And carrying out fusion processing on the slice image where the first region position coordinate is located and the residual slice image.
4. A method according to claim 2 or 3, wherein calculating first region position coordinates of the region of interest from reconstruction parameters corresponding to the first sequence of images comprises:
Acquiring physical region position coordinates of the region of interest under a world coordinate system;
And calculating the first region position coordinate of the region of interest under an image coordinate system according to the physical region position coordinate and the reconstruction parameters corresponding to the first sequence image.
5. A method according to claim 3, wherein said calculating second region position coordinates of the region of interest from the reconstruction parameters corresponding to the second sequence and/or the first region position coordinates comprises:
Acquiring physical region position coordinates of the region of interest under a world coordinate system;
And calculating second region position coordinates of the region of interest under an image coordinate system according to the physical region position coordinates and reconstruction parameters corresponding to the second sequence images and/or the first region position coordinates.
6. The method according to claim 1, wherein the method further comprises:
Acquiring at least one medical image of the object to be detected; the modality of the at least one medical image and the modality of the third sequence of images are different, the at least one medical image comprising the region of interest;
And carrying out weighted fusion or weighted superposition processing on the at least one medical image and the third sequence image, and displaying the processed images.
7. An image reconstruction storage device, the device comprising:
the acquisition module is used for acquiring scanning data of an object to be detected and two different reconstruction parameters;
The reconstruction module is used for carrying out data reconstruction on the scanning data by adopting the two different reconstruction parameters respectively to obtain a first sequence image and a second sequence image; the resolution of the first sequence of images is higher than the resolution of the second sequence of images, both the first sequence of images and the second sequence of images comprising a region of interest;
The fusion module is used for selecting partial slice images corresponding to the region of interest in the first sequence image and partial slice images except the region of interest in the second sequence image according to a certain rule, carrying out fusion processing on the partial slice images corresponding to the region of interest in the first sequence image and the partial slice images except the region of interest in the second sequence image to obtain a third sequence image, and storing the third sequence image; the third sequence of images includes the region of interest.
8. The apparatus of claim 7, wherein the fusion module comprises:
The calculation unit is used for calculating first region position coordinates of the region of interest according to reconstruction parameters corresponding to the first sequence images;
A determining unit, configured to determine, on the first sequence image, a slice image in which the first region position coordinate is located according to the first region position coordinate;
And the fusion unit is used for carrying out fusion processing on the slice image where the position coordinates of the first region are located and part of slice images except the region of interest in the second sequence image to obtain the third sequence image.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 7 when the computer program is executed.
10. A readable storage medium having stored thereon a computer program, which when executed by a processor realizes the steps of the method according to any of claims 1 to 7.
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