CN114998239A - Respiration correction method, computer device, and storage medium - Google Patents
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Abstract
The application relates to a respiration correction method, a computer device and a storage medium. The method comprises the following steps: acquiring a first medical image and a second medical image of lung scanning of the same user at different moments; acquiring the accumulated volume ratio change of the lung lobes from the lung tips to the lung roots in the first medical image and the accumulated volume ratio change of the lung lobes from the lung tips to the lung roots in the second medical image under the same coordinate system; and carrying out respiratory correction on the first medical image or the second medical image according to the accumulated volume ratio change of the lung lobes from the lung tip to the lung root in the first medical image and the accumulated volume ratio change of the lung lobes from the lung tip to the lung root in the second medical image to obtain a corrected medical image. By adopting the method, the problem that the lung anatomical structures of the current examination and the historical examination are far different in the traditional technology, so that the recognition of the same lesion position before and after the lung anatomical structures are influenced, and the accuracy of the acquired synchronous incidence relation of the cross section of the lung nodule can be solved.
Description
Technical Field
The present application relates to the field of medical image technology, and in particular, to a respiration correction method, a computer device, and a storage medium.
Background
In the examination and diagnosis of lung nodules and lung cancer, lung follow-up scanning is a common examination means. The doctor can grasp the change of the lesion with time through time-interval Imaging examination, such as Computed Tomography (CT), Magnetic Resonance Imaging (MRI), and the like.
In the conventional technology, a registration method is generally adopted to obtain a one-to-one correspondence relationship between two image space positions at different time points, so that a pulmonary nodule matching relationship and a synchronous incidence relationship of cross sections at different time points are calculated, and the change condition of a focus along with time is mastered. However, in examination at different time points, since it cannot be guaranteed that the patient is in the same respiratory state during scanning, the anatomical structures of the lungs in the current examination and the historical examination may be far apart, which affects the identification of the same lesion position before and after the current examination and the accuracy of the obtained synchronous association relationship of the cross section of the lung nodule.
Disclosure of Invention
Based on this, it is necessary to provide a respiratory correction method, a computer device and a storage medium, which can solve the problem in the conventional technology that the anatomical structures of the lung in the current examination and the historical examination are far apart, and the accuracy of the synchronous correlation between the front and back identical lesion positions and the acquired lung nodule cross section is affected.
In a first aspect, the present application provides a method of respiratory correction, the method comprising:
acquiring a first medical image and a second medical image; the first medical image and the second medical image are lung scanning images of the same user at different moments;
under the same coordinate system, acquiring the accumulated volume ratio change of the lung lobes from the lung tip to the lung root in the first medical image according to the volumes of the lung lobes on the cross sections of the layers of the first medical image, and acquiring the accumulated volume ratio change of the lung lobes from the lung tip to the lung root in the second medical image according to the volumes of the lung lobes on the cross sections of the layers of the second medical image;
according to the accumulated volume ratio change of the lung lobes from the lung tip to the lung root in the first medical image and the accumulated volume ratio change of the lung lobes from the lung tip to the lung root in the second medical image, carrying out respiratory correction on the target medical image to obtain a corrected medical image; wherein the target medical image is the first medical image or the second medical image.
In one embodiment, the performing respiratory correction on the target medical image according to the cumulative volume ratio change of the lung lobes from the lung tip to the lung root in the first medical image and the cumulative volume ratio change of the lung lobes from the lung tip to the lung root in the second medical image to obtain a corrected medical image includes:
acquiring the position change of the cross section in the target medical image according to the accumulated volume ratio change of the lung lobes from the lung tip to the lung root in the first medical image and the accumulated volume ratio change of the lung lobes from the lung tip to the lung root in the second medical image;
and according to the change of the position of the cross section in the target medical image, carrying out respiratory correction on the target medical image to obtain a corrected medical image.
In one embodiment, if the target medical image is the first medical image; the method for correcting the target medical image by breathing according to the change of the position of the cross section in the target medical image to obtain a corrected medical image comprises the following steps:
and adjusting the coordinates of a layer with the same accumulated volume ratio in the cross section of the target medical image and the cross section of the second medical image to be consistent to obtain the corrected medical image.
In one embodiment, the method further comprises:
registering the first initial medical image and the second medical image to obtain an affine transformation matrix;
and transforming the first initial medical image to a coordinate system where the second medical image is located by using the affine transformation matrix to obtain the first medical image.
In one embodiment, the method further comprises:
and respectively carrying out lung segmentation on the first original medical image and the second original medical image to obtain the first original medical image and the second medical image.
In one embodiment, if the target medical image is the first medical image, the method further includes:
acquiring a distance value between the nodule in the corrected medical image and the nodule in the second medical image according to the coordinates of the nodule in the corrected medical image and the coordinates of the nodule in the second medical image;
and carrying out nodule matching on the nodule corresponding to the minimum distance value in the distance values to obtain a matching result.
In one embodiment, if the target medical image is the first medical image, the method further includes:
and carrying out image association on the cross section corresponding to the corrected medical image and the second medical image to obtain an association result.
In one embodiment, the first medical image and the second medical image are Computed Tomography (CT) images, or the first medical image and the second medical image are Magnetic Resonance Imaging (MRI) images.
In a second aspect, the present application also provides a breathing correction device, the device comprising:
a first acquisition module for acquiring a first medical image and a second medical image; the first medical image and the second medical image are lung scanning images of the same user at different moments;
a second obtaining module, configured to obtain, in the same coordinate system, an accumulated volume ratio change from a lung tip to a lung root in the first medical image according to a volume of lung lobes on each layer of cross section of the first medical image, and obtain an accumulated volume ratio change from a lung tip to a lung root in the second medical image according to a volume of lung lobes on each layer of cross section of the second medical image;
the correction module is used for carrying out respiratory correction on the target medical image according to the accumulated volume ratio change of the lung lobes from the lung tip to the lung root in the first medical image and the accumulated volume ratio change of the lung lobes from the lung tip to the lung root in the second medical image to obtain a corrected medical image; wherein the target medical image is the first medical image or the second medical image.
In a third aspect, the present application further provides a computer device, which includes a memory and a processor, where the memory stores a computer program, and the processor implements the following steps when executing the computer program:
acquiring a first medical image and a second medical image; the first medical image and the second medical image are lung scanning images of the same user at different moments;
under the same coordinate system, acquiring the accumulated volume ratio change of the lung lobes from the lung tips to the lung roots in the first medical image according to the volumes of the lung lobes on the cross sections of the layers of the first medical image, and acquiring the accumulated volume ratio change of the lung lobes from the lung tips to the lung roots in the second medical image according to the volumes of the lung lobes on the cross sections of the layers of the second medical image;
according to the accumulated volume ratio change of the lung lobes from the lung tip to the lung root in the first medical image and the accumulated volume ratio change of the lung lobes from the lung tip to the lung root in the second medical image, carrying out respiratory correction on the target medical image to obtain a corrected medical image; wherein the target medical image is the first medical image or the second medical image.
In a fourth aspect, the present application further provides a computer readable storage medium having a computer program stored thereon, the computer program when executed by a processor implementing the steps of:
acquiring a first medical image and a second medical image; the first medical image and the second medical image are lung scanning images of the same user at different moments;
under the same coordinate system, acquiring the accumulated volume ratio change of the lung lobes from the lung tips to the lung roots in the first medical image according to the volumes of the lung lobes on the cross sections of the layers of the first medical image, and acquiring the accumulated volume ratio change of the lung lobes from the lung tips to the lung roots in the second medical image according to the volumes of the lung lobes on the cross sections of the layers of the second medical image;
according to the accumulated volume ratio change of the lung lobes from the lung tip to the lung root in the first medical image and the accumulated volume ratio change of the lung lobes from the lung tip to the lung root in the second medical image, carrying out respiratory correction on the target medical image to obtain a corrected medical image; wherein the target medical image is the first medical image or the second medical image.
In a fifth aspect, the present application further provides a computer program product comprising a computer program which, when executed by a processor, performs the steps of:
acquiring a first medical image and a second medical image; the first medical image and the second medical image are lung scanning images of the same user at different moments;
under the same coordinate system, acquiring the accumulated volume ratio change of the lung lobes from the lung tips to the lung roots in the first medical image according to the volumes of the lung lobes on the cross sections of the layers of the first medical image, and acquiring the accumulated volume ratio change of the lung lobes from the lung tips to the lung roots in the second medical image according to the volumes of the lung lobes on the cross sections of the layers of the second medical image;
according to the accumulated volume ratio change of the lung lobes from the lung tip to the lung root in the first medical image and the accumulated volume ratio change of the lung lobes from the lung tip to the lung root in the second medical image, carrying out respiratory correction on the target medical image to obtain a corrected medical image; wherein the target medical image is the first medical image or the second medical image.
By acquiring the first medical image and the second medical image of the lung scan of the same user at different times, the method, the computer device and the storage medium can acquire the accumulated volume ratio change of the lung lobes from the lung tip to the lung root in the first medical image according to the volumes of the lung lobes on the cross sections of the layers of the first medical image and acquire the accumulated volume ratio change of the lung lobes from the lung tip to the lung root in the second medical image according to the volumes of the lung lobes on the cross sections of the layers of the second medical image under the same coordinate system, so that the first medical image or the second medical image can be subjected to respiratory correction to reduce the difference of anatomical structures in the first medical image and the second medical image according to the accumulated volume ratio change of the lung lobes from the lung tip to the lung root in the first medical image and the accumulated volume ratio change of the lung lobes from the lung tip to the lung root in the second medical image, therefore, the accuracy of identifying the same lesion position in the first medical image and the second medical image is improved, and the accuracy of acquiring the synchronous incidence relation of the lung nodule cross sections of the first medical image and the second medical image is improved.
Drawings
FIG. 1 is a diagram of an exemplary embodiment of a method for breath correction;
FIG. 2 is a flow diagram illustrating a method for breath correction in one embodiment;
FIG. 3 is a diagram illustrating the contrast of scanned images of the lungs at different times in one embodiment;
FIG. 4 is a flow chart illustrating a method of breath correction in another embodiment;
FIG. 5 is a flow chart illustrating a method for breath correction in another embodiment;
FIG. 6 is a flow chart illustrating a method of breath correction in another embodiment;
FIG. 7 is a schematic diagram illustrating cross-sectional comparison of matching current scan images and historical scan images before and after respiratory correction in one embodiment;
fig. 8 is a block diagram of a respiration correction device in an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more clearly understood, the present application is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The respiration correction method provided by the embodiment of the application can be applied to computer equipment shown in fig. 1. The computer device comprises a processor and a memory connected by a system bus, wherein a computer program is stored in the memory, and the steps of the method embodiments described below can be executed when the processor executes the computer program. Optionally, the computer device may further comprise a network interface, a display screen and an input device. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a nonvolatile storage medium storing an operating system and a computer program, and an internal memory. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the computer device is used for communicating with an external terminal through a network connection. Optionally, the computer device may be a server, a personal computer, a personal digital assistant, other terminal devices such as a tablet computer, a mobile phone, and the like, or a cloud or a remote server, and the specific form of the computer device is not limited in the embodiment of the present application.
In the conventional technology, a registration method is generally adopted to obtain a one-to-one correspondence relationship between two image space positions at different time points, so that a lung nodule matching relationship at different time points and a synchronous incidence relationship of a cross section are calculated, and the change condition of a focus along with time is mastered. Generally, the registration method is divided into rigid registration and flexible registration, for an image with large breathing deformation before and after, the volume of the lung has a stretching effect, and the rigid registration assumes that the size and the shape of an object are unchanged, so the rigid registration cannot be suitable for the breathing correction of the lung, and the registration failure of a region with large breathing deformation can be caused; however, when the flexible registration technology is applied to the follow-up images, the flexible registration needs to obtain the one-to-one correspondence relationship of each pixel point of the images, so that the algorithm complexity is high, the algorithm calculation time is long, and the real-time requirement cannot be met. Furthermore, when synchronously scrolling the lung follow-up images, only the cross-section registration is performed, that is, only the registration in the anatomical cross-section direction is required, and no other directions are required, so that the flexible registration is not completely suitable for the respiratory correction. Therefore, the present application provides a respiration correction method, a computer device, and a storage medium, which are used to solve the problem in the conventional technology that the lung anatomy structures of the current examination and the historical examination are far apart from each other, which affects the identification of the same lesion position before and after the lung anatomy structure and the accuracy of the acquired synchronous correlation relationship of the lung nodule cross section.
In one embodiment, as shown in fig. 2, there is provided a respiration correction method, which is illustrated by applying the method to the computer device in fig. 1, and includes the following steps:
s201, acquiring a first medical image and a second medical image; the first medical image and the second medical image are scanned images of the lungs of the same user at different times.
The first medical image and the second medical image are lung scanned images of the same user at different moments, optionally, the first medical image may be a current scanned image, and the second medical image is a historical scanned image; alternatively, the first medical image may be a historical scan image and the second medical image is a current scan image. Alternatively, the first medical image and the second medical image may both be Computed Tomography (CT) images, or the first medical image and the second medical image may both be Magnetic Resonance Imaging (MRI) images. Alternatively, the computer device may acquire the first medical image and the second medical image in real time from a scanning device, or the computer device may acquire the first medical image and the second medical image from a PACS (Picture Archiving and Communication Systems) server. Optionally, in this embodiment, the lung anatomical structures of the first medical image and the second medical image may be relatively close to each other, or the lung anatomical structures of the first medical image and the second medical image may be greatly different from each other due to the influence of respiratory motion.
It should be noted that the first medical image and the second medical image in this embodiment are images in the same coordinate system, for example, the first medical image and the second medical image may both be images in a world coordinate system, or the first medical image and the second medical image may both be images in a voxel coordinate system. In addition, it should be noted that the first medical image and the second medical image in this embodiment are segmented images of the lung, that is, the first medical image and the second medical image only include lung regions.
For example, referring to fig. 3, fig. 3 shows the lung segmentation result by using the lung segment as the lung segmentation result, wherein the left image in fig. 3 is the historical scan image, and the right image is the current scan image, as can be seen from fig. 3, the historical scan image is in the exhalation state, the lung is reduced, and the current scan image is relatively in the inhalation state, and the lung is expanded greatly.
S202, under the same coordinate system, acquiring the accumulated volume ratio change of the lung lobes from the lung tip to the lung root in the first medical image according to the volume of the lung lobes on the cross section of each layer of the first medical image, and acquiring the accumulated volume ratio change of the lung lobes from the lung tip to the lung root in the second medical image according to the volume of the lung lobes on the cross section of each layer of the second medical image.
For example, the computer device may draw a curve with a cross-sectional change of the lung lobes from the lung tips to the lung roots in the medical image as a horizontal axis and a cumulative volume fraction of the lung lobes from the lung tips to the lung roots in the medical image as a vertical axis, resulting in a cumulative volume fraction change of the lung lobes from the lung tips to the lung roots in the medical image.
It is to be understood that the lungs include a left lung and a right lung, and in the present embodiment, the cumulative volume fraction change of the lung lobes from the lung apex to the lung root in the medical image acquired by the computer device includes the cumulative volume fraction change of the left lung lobes from the lung apex to the lung root in the medical image and the cumulative volume fraction change of the right lung lobes from the lung apex to the lung root in the medical image.
Optionally, in this embodiment, the computer device may obtain, in the same coordinate system, for example, in a world coordinate system, a cumulative volumetric ratio change of the lung lobes from the lung tip to the lung root in the first medical image according to a ratio of a volume of the lung lobes to a total volume of the lung lobes on each layer of cross section of the first medical image, for example, taking that the first medical image includes 10 layers of cross sections, the computer device may first obtain a volume of the lung lobes on the first layer of cross section from the lung tip to the lung root, obtain a volume of the lung lobes on the second layer of cross section … … a volume of the lung lobes on the tenth layer of cross section, obtain a cumulative volumetric ratio of the lung lobes on the first layer of cross section by dividing the volume of the lung lobes on the first layer of cross section by the total volume of the lung lobes, obtain a cumulative volumetric ratio of the lung lobes on the second layer of cross section by adding the volume of the lung lobes on the first layer of cross section to the volume of the lung lobes on the second layer of cross section by the total volume of the lung lobes, and accumulating the volume of the lung lobes on the first layer of cross section and the volume of the lung lobes on the second layer of cross section to the volume of the lung lobes on the third layer of cross section, and dividing the volume of the lung lobes on the third layer of cross section by the total volume of the lung lobes to obtain the volume ratio of the lung lobes on the third layer of cross section, and so on to obtain the accumulated volume ratio change of the lung lobes from the lung tip to the lung root in the 10 layers of cross sections of the first medical image. Similarly, by using the same principle, the cumulative volumetric proportion change of the lung lobes from the lung tip to the lung root in the second medical image is obtained according to the volumes of the lung lobes on the cross sections of the layers of the second medical image.
S203, according to the accumulated volume ratio change of the lung lobes from the lung tip to the lung root in the first medical image and the accumulated volume ratio change of the lung lobes from the lung tip to the lung root in the second medical image, carrying out respiratory correction on the target medical image to obtain a corrected medical image; wherein the target medical image is the first medical image or the second medical image.
Optionally, the computer device may determine, according to a change in an accumulated volume ratio of the lung lobes from the lung tip to the lung root in the first medical image and a change in an accumulated volume ratio of the lung lobes from the lung tip to the lung root in the second medical image, a region in which the lung lobe volume ratio is different in the first medical image and the second medical image, and further perform respiratory correction on the region in which the volume ratio is different in the first medical image or the second medical image, to obtain the corrected medical image. Or, the computer device may adjust the change of the cumulative volume ratio of the lung lobes from the lung tip to the lung root in the second medical image according to the change of the cumulative volume ratio of the lung lobes from the lung tip to the lung root in the first medical image, so that the change of the cumulative volume ratio of the lung lobes from the lung tip to the lung root in the second medical image is consistent with the change of the cumulative volume ratio of the lung lobes from the lung tip to the lung root in the first medical image, and obtain the corrected medical image.
In the above respiration correction method, by acquiring the first medical image and the second medical image of the same user at different times, the cumulative volume ratio change from the lung apex to the lung root in the first medical image can be acquired according to the volume of the lung lobes on each layer of cross section of the first medical image, and the cumulative volume ratio change from the lung apex to the lung root in the second medical image can be acquired according to the volume of the lung lobes on each layer of cross section of the first medical image, so that the first medical image or the second medical image can be subjected to respiration correction according to the cumulative volume ratio change from the lung apex to the lung root in the first medical image and the cumulative volume ratio change from the lung apex to the lung root in the second medical image, and the difference of the lung anatomical structures in the first medical image and the second medical image can be reduced, thereby improving the recognition accuracy of the same position in the first medical image and the second medical image and improving the acquisition accuracy of the first medical image Accuracy of the simultaneous correlation of the lung nodule cross-sections of the study image and the second medical image.
In the above-described scenario in which the target medical image is subjected to the respiratory correction according to the cumulative volume fraction change of the lung lobes from the lung apex to the lung root in the first medical image and the cumulative volume fraction change of the lung lobes from the lung apex to the lung root in the second medical image, the computer device may perform the respiratory correction on the target medical image according to a change in the position of the cross section in the target medical image. In an embodiment, as shown in fig. 4, the step S203 includes:
s301, acquiring the position change of the cross section in the target medical image according to the accumulated volume ratio change of the lung lobes from the lung tip to the lung root in the first medical image and the accumulated volume ratio change of the lung lobes from the lung tip to the lung root in the second medical image.
For example, taking the target medical image as the first medical image, the computer device may acquire a change in the position of the cross section in the first medical image based on a cumulative volume fraction change of the lung lobes from the lung apex to the lung root in the first medical image and a cumulative volume fraction change of the lung lobes from the lung apex to the lung root in the second medical image. Alternatively, the computer device may assume that the cumulative volume fraction of the lobes from the tip to the root in the first medical image and the cumulative volume fraction of the lobes from the tip to the root in the second medical image are the same, and the computer device may determine the change in the position of the cross section in the first medical image based on a difference between a change in the cumulative volume fraction of the lobes from the tip to the root in the first medical image and a change in the cumulative volume fraction of the lobes from the tip to the root in the second medical image between 3% and 97%.
S302, according to the change of the position of the cross section in the target medical image, carrying out respiratory correction on the target medical image to obtain a corrected medical image.
Optionally, the computer device may adjust a volume ratio in the cross section of the target medical image according to a change in a position of the cross section in the target medical image, to obtain the corrected medical image. Optionally, if the target medical image is the first medical image, the computer device may adjust and conform coordinates of a layer having the same cumulative volume fraction in the cross section of the first medical image and the cross section of the second medical image according to a change in a position of the cross section in the target medical image, and reconstruct the adjusted tomographic image to obtain the corrected medical image.
In this embodiment, the computer device may accurately acquire the change of the position of the cross section in the target medical image according to the change of the cumulative volume ratio of the lung lobes from the lung tip to the lung root in the first medical image and the change of the cumulative volume ratio of the lung lobes from the lung tip to the lung root in the second medical image, so that the target medical image may be accurately respiratory-corrected according to the change of the position of the cross section in the target medical image, thereby improving the accuracy of the obtained corrected medical image.
In the scene of acquiring the first medical image and the second medical image, the first medical image and the second medical image are images in the same coordinate system, so that the first initial medical image and the second medical image corresponding to the first medical image may be transformed first, so that the first medical image and the second medical image are images in the same coordinate system. In one embodiment, as shown in fig. 5, the method further includes:
s401, registering the first initial medical image and the second medical image to obtain an affine transformation matrix.
Optionally, the first initial medical image and the second medical image in this embodiment may be both lung segmentation images, or may be complete medical images. Optionally, in this embodiment, the computer device may perform rigid registration on the first initial medical image and the second medical image to obtain an affine transformation matrix. Optionally, the computer device may rigidly register the first initial medical image to the second medical image to obtain the affine transformation matrix, or may rigidly register the second medical image to the first initial medical image to obtain the affine transformation matrix.
S402, transforming the first initial medical image to a coordinate system where the second medical image is located by using an affine transformation matrix to obtain a first medical image.
Optionally, the coordinate system of the second medical image may be a world coordinate system or a voxel coordinate system, that is, when the coordinate system of the second medical image is the world coordinate system, the computer device may transform the first initial medical image to the world coordinate system by using an affine transformation matrix to obtain the first medical image; when the coordinate system in which the second medical image is located is a voxel coordinate system, the computer device may transform the first initial medical image to the voxel coordinate system using an affine transformation matrix, resulting in the first medical image.
In this embodiment, by registering the first initial medical image and the second medical image, the affine transformation matrix transformed between the first initial medical image and the second medical image can be quickly obtained, and the efficiency of obtaining the affine transformation matrix is improved, so that the first initial medical image can be quickly transformed to the coordinate system where the second medical image is located by using the affine transformation matrix, and the efficiency of obtaining the first medical image is improved.
In the above embodiment, the first initial medical image and the second medical image are both lung segmentation images, and on the basis of the above embodiment, in an embodiment, the method further includes: and respectively carrying out lung segmentation on the first original medical image and the second original medical image to obtain a first original medical image and a second medical image.
Wherein the first and second original medical images are complete medical images including the lungs. Optionally, in this embodiment, the computer device may input the first original medical image into a segmentation model, perform lung segmentation on the first original medical image to obtain the first original medical image, input the second original medical image into the segmentation model, and perform lung segmentation on the second original medical image to obtain the second medical image. Alternatively, the computer device may perform lung segmentation on the first original medical image and the second original medical image using a threshold-based segmentation method, a region-based segmentation method, or the like, respectively, to obtain the first original medical image and the second medical image.
In this embodiment, the process of performing lung segmentation on the first original medical image and the second original medical image is very simple, excessive operations are not required, and the lung segmentation can be performed on the first original medical image and the second original medical image quickly, so that the efficiency of obtaining the first original medical image and the second medical image is improved.
In some scenarios, the computer device may apply the corrected medical image to lung nodule matching, and in one embodiment, as shown in fig. 6, if the target medical image is a first medical image, the method further includes:
s501, acquiring a distance value between the nodule in the corrected medical image and the nodule in the second medical image according to the coordinates of the nodule in the corrected medical image and the coordinates of the nodule in the second medical image.
Optionally, in this embodiment, the computer device may calculate coordinates of the nodule in the corrected medical image and coordinates of the nodule in the second medical image by using a distance formula, so as to obtain a distance value between the nodule in the corrected medical image and the nodule in the second medical image.
And S502, performing nodule matching on the nodule corresponding to the minimum distance value in the distance values to obtain a matching result.
It can be understood that the nodule corresponding to the minimum distance value in the present embodiment may be regarded as a nodule adjacent to each other in the corrected medical image and the second medical image, so that the nodule corresponding to the minimum distance value in the distance values may be subjected to nodule matching to obtain a matching result, and the matching nodule may be analyzed by using the matching result.
Exemplarily, as shown in fig. 7, the upper image in fig. 7 is a schematic diagram of a cross-sectional position corresponding layer of the current scanned image and the historical scanned image matched before respiratory correction, and the lower image in fig. 7 is a schematic diagram of a cross-sectional position corresponding layer of the current scanned image and the historical scanned image matched after respiratory correction, as can be seen from fig. 7, in the matched image before respiratory correction, the lesion number 3 in the current scanned image and the lesion number 3 in the historical scanned image are not matched with each other; in the matching image after the respiratory correction, the lesion number 3 in the current scanning image is correspondingly matched with the lesion number 3 in the historical scanning image.
In this embodiment, according to the coordinates of the nodule in the corrected medical image and the coordinates of the nodule in the second medical image, the distance value between the nodule in the corrected medical image and the nodule in the second medical image can be accurately obtained, so that the nodule corresponding to the minimum distance value in the distance values can be accurately subjected to nodule matching by using the distance value between the nodule in the corrected medical image and the nodule in the second medical image, a matching result can be accurately obtained, and the obtained matching result with higher accuracy can be used to analyze the nodule in the medical image and determine the change condition of the nodule in the medical image along with time.
In some scenarios, the computer device may apply the corrected medical image to the correlation of the lung nodule cross-section, and in one embodiment, if the target medical image is a first medical image, the method further includes: and carrying out image correlation on the cross section corresponding to the corrected medical image and the second medical image to obtain a correlation result.
Optionally, the computer device may perform image correlation on the cross section corresponding to the corrected medical image and the first medical image by using a rigid registration method to obtain a correlation result; or, the computer device may also perform image correlation on the cross section corresponding to the corrected medical image and the first medical image by using a flexible registration method to obtain a correlation result.
With continued reference to FIG. 7, as shown in FIG. 7, the cross-sectional anatomical structures of the synchronous matches are significantly different in the matched images before respiratory correction; in the matched image after the respiration correction, the difference of the cross-section anatomical structures is small, compared with the associated layer of the most similar layer observed by human eyes, the layer after the respiration correction is closer, and the difference of the layer registration compared with the associated layer of the most similar layer observed by human eyes under the original condition without the respiration correction is larger.
In this embodiment, by performing image correlation on the cross section corresponding to the corrected medical image and the second medical image, a correlation result with a small difference in the cross-sectional anatomical structure can be obtained, so that the corrected medical image and the second medical image can be analyzed more accurately by using the correlation result, and a more accurate analysis result can be obtained.
To facilitate understanding by those skilled in the art, the respiration correction method provided herein is described in detail below, and may include:
s1, performing lung segmentation on the first original medical image and the second original medical image respectively to obtain a first original medical image and a second medical image; the first original medical image and the second original medical image are scanned images of the lungs of the same user at different times.
S2, registering the first initial medical image and the second medical image to obtain an affine transformation matrix
And S3, transforming the first initial medical image to a coordinate system where the second medical image is located by using the affine transformation matrix to obtain the first medical image.
And S4, under the same coordinate system, acquiring the accumulated volume ratio change of the lung lobes from the lung tips to the lung roots in the first medical image according to the volumes of the lung lobes on the cross sections of the layers of the first medical image, and acquiring the accumulated volume ratio change of the lung lobes from the lung tips to the lung roots in the second medical image according to the volumes of the lung lobes on the cross sections of the layers of the second medical image.
And S5, acquiring the position change of the cross section in the first medical image according to the accumulated volume ratio change of the lung lobes from the lung tip to the lung root in the first medical image and the accumulated volume ratio change of the lung lobes from the lung tip to the lung root in the second medical image.
And S6, adjusting and conforming the coordinates of the layer with the same volume ratio in the cross section of the first medical image and the cross section of the second medical image to obtain the corrected medical image.
S7, acquiring a distance value between the nodule in the corrected medical image and the nodule in the second medical image according to the coordinates of the nodule in the corrected medical image and the coordinates of the nodule in the second medical image; and carrying out nodule matching on the nodule corresponding to the minimum distance value in the distance values to obtain a matching result.
And S8, performing image correlation on the cross section corresponding to the corrected medical image and the second medical image to obtain a correlation result.
It should be noted that, for the descriptions in the above S1-S8, reference may be made to the relevant descriptions in the above embodiments, and the effects thereof are similar, and the description of this embodiment is not repeated herein.
It should be understood that, although the steps in the flowcharts related to the above embodiments are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a part of the steps in the flowcharts related to the above embodiments may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of performing the steps or stages is not necessarily sequential, but may be performed alternately or alternately with other steps or at least a part of the steps or stages in other steps.
Based on the same inventive concept, the embodiment of the present application further provides a respiration correction device for implementing the respiration correction method mentioned above. The solution of the problem provided by the apparatus is similar to the solution described in the above method, so the specific limitations in one or more embodiments of the respiration correction apparatus provided below can be referred to the limitations of the respiration correction method in the above, and are not described herein again.
In one embodiment, as shown in fig. 8, there is provided a respiration correction device comprising: first acquisition module, second acquisition module and correction module, wherein:
a first acquisition module for acquiring a first medical image and a second medical image; the first medical image and the second medical image are scanned images of the lungs of the same user at different times.
And the second acquisition module is used for acquiring the accumulated volume ratio change of the lung lobes from the lung tips to the lung roots in the first medical image according to the volumes of the lung lobes on the cross sections of the layers of the first medical image and acquiring the accumulated volume ratio change of the lung lobes from the lung tips to the lung roots in the second medical image according to the volumes of the lung lobes on the cross sections of the layers of the second medical image in the same coordinate system.
The correction module is used for carrying out respiratory correction on the target medical image according to the accumulated volume ratio change of the lung lobes from the lung tip to the lung root in the first medical image and the accumulated volume ratio change of the lung lobes from the lung tip to the lung root in the second medical image to obtain a corrected medical image; wherein the target medical image is the first medical image or the second medical image.
Optionally, the first medical image and the second medical image are both Computed Tomography (CT) images, or the first medical image and the second medical image are both Magnetic Resonance Imaging (MRI) images.
The respiration correction device provided in this embodiment may implement the above method embodiments, and the implementation principle and technical effects are similar, which are not described herein again.
On the basis of the foregoing embodiment, optionally, the correction module includes: an acquisition unit and a correction unit, wherein:
and the acquisition unit is used for acquiring the position change of the cross section in the target medical image according to the accumulated volume ratio change of the lung lobes from the lung tip to the lung root in the first medical image and the accumulated volume ratio change of the lung lobes from the lung tip to the lung root in the second medical image.
And the correction unit is used for carrying out respiratory correction on the target medical image according to the change of the position of the cross section in the target medical image to obtain a corrected medical image.
The respiration correction device provided in this embodiment may implement the above method embodiments, and the implementation principle and technical effect are similar, which are not described herein again.
On the basis of the above embodiment, optionally, if the target medical image is the first medical image; the correction unit is used for adjusting and conforming the coordinates of the layer with the same volume ratio in the cross section of the target medical image and the cross section of the second medical image to obtain the corrected medical image.
The respiration correction device provided in this embodiment may implement the above method embodiments, and the implementation principle and technical effect are similar, which are not described herein again.
On the basis of the foregoing embodiment, optionally, the apparatus further includes: a registration module and a transformation module, wherein:
and the registration module is used for registering the first initial medical image and the second medical image to obtain an affine transformation matrix.
And the transformation module is used for transforming the first initial medical image into a coordinate system where the second medical image is located by utilizing the affine transformation matrix to obtain the first medical image.
The respiration correction device provided in this embodiment may implement the above method embodiments, and the implementation principle and technical effect are similar, which are not described herein again.
On the basis of the foregoing embodiment, optionally, the apparatus further includes: a segmentation module, wherein:
and the segmentation module is used for respectively carrying out lung segmentation on the first original medical image and the second original medical image to obtain a first original medical image and a second medical image.
The respiration correction device provided in this embodiment may implement the above method embodiments, and the implementation principle and technical effect are similar, which are not described herein again.
On the basis of the foregoing embodiment, optionally, if the target medical image is the first medical image, the apparatus further includes: a third acquisition module and a matching module, wherein:
and the third acquisition module is used for acquiring the distance value between the nodule in the corrected medical image and the nodule in the second medical image according to the coordinates of the nodule in the corrected medical image and the coordinates of the nodule in the second medical image.
And the matching module is used for performing nodule matching on the nodule corresponding to the minimum distance value in the distance values to obtain a matching result.
The respiration correction device provided in this embodiment may implement the above method embodiments, and the implementation principle and technical effect are similar, which are not described herein again.
On the basis of the foregoing embodiment, optionally, if the target medical image is a first medical image, the apparatus further includes: an association module, wherein:
and the correlation module is used for performing image correlation on the cross section corresponding to the corrected medical image and the second medical image to obtain a correlation result.
The respiration correction device provided in this embodiment may implement the above method embodiments, and the implementation principle and technical effect are similar, which are not described herein again.
The modules in the respiration correction device can be wholly or partially realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program:
acquiring a first medical image and a second medical image; the first medical image and the second medical image are lung scanning images of the same user at different moments;
under the same coordinate system, acquiring the accumulated volume ratio change of the lung lobes from the lung tips to the lung roots in the first medical image according to the volumes of the lung lobes on the cross sections of the layers of the first medical image, and acquiring the accumulated volume ratio change of the lung lobes from the lung tips to the lung roots in the second medical image according to the volumes of the lung lobes on the cross sections of the layers of the second medical image;
according to the accumulated volume ratio change of the lung lobes from the lung tip to the lung root in the first medical image and the accumulated volume ratio change of the lung lobes from the lung tip to the lung root in the second medical image, carrying out respiratory correction on the target medical image to obtain a corrected medical image; wherein the target medical image is the first medical image or the second medical image.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
acquiring a first medical image and a second medical image; the first medical image and the second medical image are lung scanning images of the same user at different moments;
under the same coordinate system, acquiring the accumulated volume ratio change of the lung lobes from the lung tip to the lung root in the first medical image according to the volumes of the lung lobes on the cross sections of the layers of the first medical image, and acquiring the accumulated volume ratio change of the lung lobes from the lung tip to the lung root in the second medical image according to the volumes of the lung lobes on the cross sections of the layers of the second medical image;
according to the accumulated volume ratio change of the lung lobes from the lung tip to the lung root in the first medical image and the accumulated volume ratio change of the lung lobes from the lung tip to the lung root in the second medical image, carrying out respiratory correction on the target medical image to obtain a corrected medical image; wherein the target medical image is the first medical image or the second medical image.
In one embodiment, a computer program product is provided, comprising a computer program which when executed by a processor performs the steps of:
acquiring a first medical image and a second medical image; the first medical image and the second medical image are lung scanning images of the same user at different moments;
under the same coordinate system, acquiring the accumulated volume ratio change of the lung lobes from the lung tips to the lung roots in the first medical image according to the volumes of the lung lobes on the cross sections of the layers of the first medical image, and acquiring the accumulated volume ratio change of the lung lobes from the lung tips to the lung roots in the second medical image according to the volumes of the lung lobes on the cross sections of the layers of the second medical image;
according to the accumulated volume ratio change of the lung lobes from the lung tip to the lung root in the first medical image and the accumulated volume ratio change of the lung lobes from the lung tip to the lung root in the second medical image, carrying out respiratory correction on the target medical image to obtain a corrected medical image; wherein the target medical image is the first medical image or the second medical image.
It should be noted that, the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, presented data, etc.) referred to in the present application are information and data authorized by the user or sufficiently authorized by each party.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include a Read-Only Memory (ROM), a magnetic tape, a floppy disk, a flash Memory, an optical Memory, a high-density embedded nonvolatile Memory, a resistive Random Access Memory (ReRAM), a Magnetic Random Access Memory (MRAM), a Ferroelectric Random Access Memory (FRAM), a Phase Change Memory (PCM), a graphene Memory, and the like. Volatile Memory can include Random Access Memory (RAM), external cache Memory, and the like. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others. The databases referred to in various embodiments provided herein may include at least one of relational and non-relational databases. The non-relational database may include, but is not limited to, a block chain based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic devices, quantum computing based data processing logic devices, etc., without limitation.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present application shall be subject to the appended claims.
Claims (10)
1. A method of respiratory correction, the method comprising:
acquiring a first medical image and a second medical image; the first medical image and the second medical image are lung scanning images of the same user at different moments;
under the same coordinate system, acquiring the accumulated volume ratio change of the lung lobes from the lung tips to the lung roots in the first medical image according to the volumes of the lung lobes on the cross sections of the layers of the first medical image, and acquiring the accumulated volume ratio change of the lung lobes from the lung tips to the lung roots in the second medical image according to the volumes of the lung lobes on the cross sections of the layers of the second medical image;
according to the accumulated volume ratio change of the lung lobes from the lung tip to the lung root in the first medical image and the accumulated volume ratio change of the lung lobes from the lung tip to the lung root in the second medical image, carrying out respiratory correction on the target medical image to obtain a corrected medical image; wherein the target medical image is the first medical image or the second medical image.
2. The method according to claim 1, wherein said respiratory correcting the target medical image according to the cumulative volume fraction change of the lung lobes from the lung tip to the lung root in the first medical image and the cumulative volume fraction change of the lung lobes from the lung tip to the lung root in the second medical image to obtain a corrected medical image comprises:
acquiring the position change of the cross section in the target medical image according to the accumulated volume ratio change of the lung lobes from the lung tip to the lung root in the first medical image and the accumulated volume ratio change of the lung lobes from the lung tip to the lung root in the second medical image;
and according to the change of the position of the cross section in the target medical image, carrying out respiratory correction on the target medical image to obtain a corrected medical image.
3. The method according to claim 2, wherein if the target medical image is the first medical image; the respiratory correction is performed on the target medical image according to the change of the position of the cross section in the target medical image to obtain a corrected medical image, and the respiratory correction method comprises the following steps:
and adjusting and conforming the coordinates of the layer with the same accumulated volume ratio in the cross section of the target medical image and the cross section of the second medical image to obtain the corrected medical image.
4. The method according to any one of claims 1-3, further comprising:
registering the first initial medical image and the second medical image to obtain an affine transformation matrix;
and transforming the first initial medical image to a coordinate system where the second medical image is located by using the affine transformation matrix to obtain the first medical image.
5. The method of claim 4, further comprising:
and respectively carrying out lung segmentation on the first original medical image and the second original medical image to obtain the first original medical image and the second medical image.
6. The method of claim 1, wherein if the target medical image is the first medical image, the method further comprises:
acquiring a distance value between the nodule in the corrected medical image and the nodule in the second medical image according to the coordinates of the nodule in the corrected medical image and the coordinates of the nodule in the second medical image;
and carrying out nodule matching on the nodule corresponding to the minimum distance value in the distance values to obtain a matching result.
7. The method of claim 1, wherein if the target medical image is the first medical image, the method further comprises:
and carrying out image association on the cross section corresponding to the corrected medical image and the second medical image to obtain an association result.
8. The method of claim 1, wherein the first medical image and the second medical image are both Computed Tomography (CT) images or the first medical image and the second medical image are both Magnetic Resonance Imaging (MRI) images.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 8.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 8.
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