CN115192057B - CT-based composite imaging method and device - Google Patents
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Abstract
The invention discloses a composite imaging method and device based on CT, relating to the technical field of medical imaging. A CT-based composite imaging method comprising: acquiring an actually measured CT value matrix corresponding to an imaging object; the imaging object is a human organ or tissue; acquiring a standard CT value matrix corresponding to a pre-stored imaging object; each CT value in the actually measured CT value matrix is compared with the corresponding CT value in the standard CT value matrix, and the difference CT value which is different from the corresponding CT value in the standard CT value matrix in the actually measured CT value matrix is determined; converting the actual measurement CT value matrix into pixel gray scale corresponding to image pixels so as to obtain an actual measurement CT image corresponding to an imaging object; and obtaining a comparison CT image corresponding to the actual measurement CT image based on the difference CT value, and displaying the actual measurement CT image and the comparison CT image. The CT-based composite imaging method and the CT-based composite imaging device can improve the applicability and the guidance of the CT imaging result.
Description
Technical Field
The present invention relates to the field of medical imaging technology, and more particularly, to a CT-based composite imaging method and apparatus.
Background
CT (Computed Tomography), that is, computed Tomography, uses precisely collimated X-ray beams, gamma rays, ultrasonic waves, etc. to scan sections of a human body one after another around a certain part of the human body together with a detector having extremely high sensitivity, has the characteristics of fast scanning time, clear images, etc., and can be used for the examination of various diseases; according to the different rays adopted, the method can be divided into the following steps: x-ray CT (X-CT), and gamma-ray CT (gamma-CT).
In the prior art, when a CT apparatus performs imaging, the CT apparatus performs imaging directly based on a scanning result, and the provided imaging result is relatively single. For doctors with abundant experience, the system can better check diseases; but it does not help the inexperienced physician to better examine the disease. For example, when scanning a lung, only a scanned lung image is presented, and it is difficult for an inexperienced doctor to perform diagnosis based on the lung image alone.
Therefore, the existing CT imaging method has a single imaging mode, resulting in a single imaging result, which is inconvenient for effective application of the imaging result, i.e. the applicability and guidance of the imaging result are poor.
The information disclosed in this background section is only for enhancement of understanding of the general background of the invention and should not be taken as an acknowledgement or any form of suggestion that this information forms the prior art already known to a person skilled in the art.
Disclosure of Invention
The invention aims to provide a compound imaging method and a compound imaging device based on CT, which can improve the applicability and the guidance of CT imaging results.
To achieve the above object, an embodiment of the present invention provides a CT-based composite imaging method, including: acquiring an actually measured CT value matrix corresponding to an imaging object; the imaging object is a human organ or tissue; acquiring a pre-stored standard CT value matrix corresponding to the imaging object; comparing each CT value in the actually measured CT value matrix with the corresponding CT value in the standard CT value matrix to determine a different CT value in the actually measured CT value matrix, which is different from the corresponding CT value in the standard CT value matrix; converting the actually measured CT value matrix into pixel gray corresponding to image pixels so as to obtain an actually measured CT image corresponding to the imaging object; and obtaining a comparison CT image corresponding to the actual measurement CT image based on the difference CT value, and displaying the actual measurement CT image and the comparison CT image.
In one or more embodiments of the invention, the CT-based composite imaging method further comprises: carrying out CT imaging on a simulated imaging object which accords with a health standard on the basis of CT to obtain a standard CT image corresponding to the simulated imaging object; and determining a standard CT value matrix corresponding to the imaging object based on the standard CT image.
In this embodiment, the standard CT image corresponding to the simulated imaging object is obtained by CT imaging the simulated imaging object meeting the health standard based on CT, so that effective determination of the standard CT value matrix can be realized based on the standard CT image.
In one or more embodiments of the present invention, the comparing each CT value in the measured CT value matrix with a corresponding CT value in the standard CT value matrix to determine a difference CT value in the measured CT value matrix that is different from the corresponding CT value in the standard CT value matrix includes: and comparing each CT value in the actually measured CT value matrix with the corresponding CT value in the standard CT value matrix, determining the CT value of which the absolute value of the difference value between the CT values in the actually measured CT value matrix and the corresponding CT value in the standard CT value matrix is greater than the preset absolute value of the difference value, and determining the CT value as the different difference CT value.
In this embodiment, the CT values in the actual measurement CT value matrix, which have a difference absolute value greater than the preset difference absolute value between the CT values corresponding to the standard CT value matrix, are determined to be different difference CT values, so that effective determination of comparing CT images can be achieved based on the difference CT values.
In one or more embodiments of the present invention, the comparing each CT value in the measured CT value matrix with a corresponding CT value in the standard CT value matrix to determine a difference CT value in the measured CT value matrix that is different from the corresponding CT value in the standard CT value matrix includes: comparing each CT value in the actually measured CT value matrix with the corresponding CT value in the standard CT value matrix, determining the CT value of which the difference absolute value between the CT values in the actually measured CT value matrix and the CT values in the standard CT value matrix is within a preset difference absolute value range, and determining the CT value as the different difference CT value; the upper limit of the preset difference absolute value range is a first preset difference absolute value, the lower limit of the preset difference absolute value range is a second preset difference absolute value, the first preset difference absolute value is larger than the second preset difference absolute value, and the difference between the first preset difference absolute value and the second preset difference absolute value is a preset value.
In this embodiment, the CT values in the actual measurement CT value matrix and the CT values corresponding to the standard CT value matrix, whose absolute values of the differences are within the preset absolute value range of the differences, are determined as different difference CT values, so that effective determination of the comparison CT image can be realized based on the difference CT values.
In one or more embodiments of the present invention, the converting the measured CT value matrix into a pixel gray scale corresponding to an image pixel to obtain a measured CT image corresponding to the imaging object includes: converting the actually measured CT value matrix into pixel gray corresponding to image pixels to obtain an initial CT image; and carrying out image enhancement processing on the initial CT image to obtain the actually measured CT image.
In the embodiment, the actual measurement CT value matrix is converted into the pixel gray scale corresponding to the image pixel to obtain the initial CT image, and then the image enhancement processing is performed on the initial CT image to improve the imaging effect of the obtained actual measurement CT image.
In one or more embodiments of the present invention, the obtaining a comparison CT image corresponding to the measured CT image based on the difference CT value includes: in the actual measurement CT image, labeling the pixel gray scale corresponding to the difference CT value to obtain a labeled actual measurement CT image; the marked actually measured CT image comprises identification information; and determining the actual measurement CT image subjected to the labeling processing as a comparison CT image corresponding to the actual measurement CT image.
In the embodiment, the pixel gray scale corresponding to the difference CT value is marked in the actually measured CT image to obtain a comparison CT image, so that the comparison CT image comprises identification information; therefore, for doctors with less experience, diagnosis can be carried out by combining the identification information and the actual measurement CT image; the applicability and the guidance of imaging results are improved.
In one or more embodiments of the present invention, the displaying the measured CT image and the comparison CT image includes: cutting out an image part where the identification information in the comparison CT image is located to obtain a plurality of sub-images with the identification information; and amplifying the plurality of sub-images, and comparing and displaying the plurality of amplified sub-images with the actually measured CT image.
In the embodiment, when the comparison display is carried out, image parts where the identification information in the comparison CT image is located, namely a plurality of sub-images, are cut out; and after the amplification treatment is carried out on a plurality of sub-images, the sub-images are compared with the actually measured CT image for display, so that the instructive performance of the imaging result is improved, and the actually measured CT image and the compared CT image can be more effectively applied.
In one or more embodiments of the present invention, the obtaining a comparison CT image corresponding to the measured CT image based on the difference CT value includes: converting the difference CT value into pixel gray corresponding to an image pixel to obtain a difference CT image corresponding to the difference CT value; and determining the difference CT image as a comparison CT image corresponding to the actual measurement CT image.
In the embodiment, the difference CT value is directly converted into the difference CT image, and the difference CT image is used as the comparison CT image, so that the difference CT image has a better comparison effect, the guidance of an imaging result is improved, and the actual measurement CT image and the comparison CT image can be more effectively applied.
In one or more embodiments of the invention, the CT-based composite imaging method further comprises: receiving a calibration comparison CT image uploaded by a user; determining a difference pixel gray value in the calibration comparison CT image and the comparison CT image; and adjusting the standard CT value matrix based on the difference pixel gray value to obtain and store the adjusted standard CT value matrix.
In this embodiment, the user may also calibrate the comparison CT image, and based on the calibration result, may adjust the standard CT value matrix to improve the accuracy of the standard CT value matrix, thereby improving the accuracy of the subsequent comparison CT image obtained based on the standard CT value matrix.
An embodiment of the present invention provides a CT-based composite imaging apparatus, including: the functional modules are used for realizing the CT-based composite imaging method and the corresponding one or more embodiments.
An embodiment of the present invention further provides an electronic device, including: a processor and a memory, the processor and the memory communicatively coupled; wherein the memory stores instructions executable by the processor to enable the processor to perform a CT-based composite imaging method as described in any one of the above embodiments.
An embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a computer to perform the CT-based composite imaging method described in any one of the above embodiments.
Compared with the prior art, the CT-based composite imaging method and device do not adopt a single imaging mode any more, but add contrast imaging on the basis of an inherent imaging result, namely adopt a composite imaging mode to obtain original imaging and contrast imaging. And aiming at the comparison imaging result, firstly obtaining a difference CT value based on the actually measured CT value matrix and a preset standard CT value matrix, and then obtaining a comparison CT image based on the difference CT value. It is understood that the difference CT value between the measured CT value matrix and the standard CT value matrix may represent a difference portion between the current imaging object and the standard imaging object, and therefore, the difference CT image obtained based on the difference CT value may also be used to represent a difference between the current imaging object and the standard object. Therefore, for the doctor, regardless of rich experience, the actual measurement CT image is displayed and compared with the CT image, so that the doctor can play a good guiding role, and the doctor can make more accurate judgment. Therefore, the CT-based composite imaging method and the CT-based composite imaging device improve the applicability and the guidance of the CT imaging result by comparing the imaging composite imaging mode.
Drawings
FIG. 1 is a flow chart of a CT-based composite imaging method according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a CT-based composite imaging apparatus according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the invention.
Detailed Description
Specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings, but it should be understood that the scope of the present invention is not limited to the specific embodiments.
Throughout the specification and claims, unless explicitly stated otherwise, the word "comprise", or variations such as "comprises" or "comprising", will be understood to imply the inclusion of a stated element or component but not the exclusion of any other element or component.
The technical scheme of the embodiment of the invention can be applied to the application scene of CT imaging, and the imaging equipment corresponding to the CT imaging is CT equipment. It is understood that other imaging devices may also perform imaging according to the technical solution of the embodiment of the present invention. In other words, the technical solution of the embodiment of the present invention may also be applied to application scenarios of other imaging apparatuses, for example, a magnetic resonance imaging apparatus, and the like, which is not limited herein.
For the principles of CT imaging, a brief introduction is made here:
in CT, X-ray beams are used to scan a certain thickness of the human body, and the detector receives the X-rays transmitted through the layer, and after the X-rays are converted into visible light, the visible light is converted into electrical signals by photoelectric conversion, and then the electrical signals are converted into digital signals by an analog/digital converter (analog/digital converter), and the digital signals are input into a computer for processing. The image formation is handled as a division of the selected slice into cuboids of the same volume, called voxels (voxels).
The information obtained from the scanning is calculated to obtain the X-ray attenuation coefficient or absorption coefficient of each voxel, and then arranged into a matrix, i.e. a digital matrix (digital matrix), which can be stored in a magnetic or optical disk. Each digit in the digital matrix is converted into small blocks with unequal gray scale from black to white, i.e. pixels (pixels), by a digital/analog converter (digital/analog converter), and the small blocks are arranged in a matrix, i.e. a CT image is formed. Therefore, the CT image is a reconstructed image. The X-ray absorption coefficient of each voxel can be calculated by different mathematical methods.
The working procedure of CT is as follows: according to the different absorption and transmission rates of different tissues of human body to X-ray, it uses the instrument with very high sensitivity to measure human body, then inputs the data obtained by measurement into the electronic computer, after the data is processed by the electronic computer, the cross-section or stereo image of the examined part of human body can be taken, and the tiny lesion of any part in the body can be found.
The technical scheme of the embodiment of the invention does not improve the imaging principle of the CT equipment, but improves the imaging mode of the CT imaging equipment. Because the existing imaging mode adopts a single imaging mode, namely, a single CT image is obtained by the imaging principle, the guidance and the applicability of the single CT image are poor, and the single CT image cannot be well applied by doctors. Based on this, the invention adopts a composite imaging mode, and the finally displayed imaging result is not single, but two images with comparison and guidance effects, so as to be convenient for the application of doctors and play a guidance role for the doctors.
The hardware operating environment of the technical solution of the embodiment of the present invention may be a control end of the CT device (or other imaging devices), and the control end may be a separate control device independent of the CT device, or a control end integrated with the CT device, which is not limited herein.
The control end realizes the processing of the imaging result through the technical scheme of the embodiment of the invention and finally displays the imaging result.
According to the technical scheme of the embodiment of the invention, on one hand, the actually measured CT image and the comparison CT image are displayed simultaneously to realize composite comparison display of the imaging result, and on the other hand, the comparison CT image is determined based on the difference CT value between the CT value matrix corresponding to the actually measured CT image and the preset standard CT value matrix, so that the difference between the actually measured imaging result and the standard imaging result can be represented, and the method has good guidance.
As shown in fig. 1, a flowchart of a CT-based composite imaging method according to a preferred embodiment of the present invention is shown, the composite imaging method including:
As can be seen from the introduction of the imaging principle of the CT apparatus, for the CT apparatus, various types of conversion are performed based on a signal obtained by scanning to obtain a CT value matrix, and based on the CT value matrix, gray value conversion is performed to realize imaging. The measured CT value matrix can therefore be understood as intermediate information or signals in the imaging process. As to how to obtain the measured CT value matrix based on the conversion of the electrical signals, reference is made to the techniques well-known in the art, and the detailed description thereof is omitted here.
Further, the aforementioned imaging object may be a simulated imaging object, such as a simulated organ; but may also be a real imaging subject, such as an organ of a patient, without limitation.
And 102, acquiring a standard CT value matrix corresponding to a pre-stored imaging object.
In the embodiment of the invention, imaging is performed based on an imaging object in advance, and in the imaging process, a CT value matrix obtained in the intermediate conversion process is stored and used as a standard CT value matrix.
In some embodiments, the standard CT value matrix is a matrix of CT values corresponding to an imaged object that meets health criteria. That is, when acquiring a standard CT value matrix, CT imaging based on healthy organs or tissues is required.
Therefore, as an alternative embodiment, the preset process of the standard CT value matrix includes: performing CT imaging on the simulated imaging object which accords with the health standard based on CT to obtain a standard CT image corresponding to the simulated imaging object; and determining a standard CT value matrix corresponding to the imaging object based on the standard CT image.
In this embodiment, a simulated imaging subject meeting the health standard is subjected to CT imaging, and a standard CT image generated during the simulated imaging is acquired, so that a CT value matrix corresponding to the imaging subject is determined based on the standard CT image.
The standard CT value matrix is determined based on the standard CT image, and the determination can be realized in a signal reverse conversion mode, namely, the CT value matrix corresponding to the image is reversely deduced based on the process of converting the standard CT value matrix into the standard CT image.
Of course, in other embodiments, when the CT value matrix is obtained based on the electrical signal conversion during the CT imaging, the CT value matrix may be directly stored, so that the inverse conversion is not needed.
In this embodiment, the imaging is performed based on a simulated imaging subject, and in other embodiments, the imaging may also be performed based on a real subject, which is not limited herein.
In the embodiment of the present invention, the conversion algorithm between signals may adopt various implementable algorithms, and is not limited herein.
Furthermore, the aforementioned compliance with the health standard may be the lowest health standard, and a uniform standard is generally established in the medical field, for example, what is a healthy lung, what is a healthy chest, etc., may be determined based on the inherent standard.
Further, in practical applications, for simulated organs or tissues, which will generally include healthy organs or tissues, and unhealthy organs or tissues, the desired simulated imaging object can be directly selected based on the above. For real organs or tissues, healthy users can be selected from users, and imaging can be performed based on the healthy users.
In this embodiment, a standard CT image corresponding to the simulated imaging object is obtained by CT imaging the simulated imaging object that meets the health standard based on CT, so that effective determination of the standard CT value matrix can be achieved based on the standard CT image.
And 103, comparing each CT value in the actually measured CT value matrix with the corresponding CT value in the standard CT value matrix, and determining the different CT value in the actually measured CT value matrix, which is different from the corresponding CT value in the standard CT value matrix.
It can be understood that the measured CT value matrix and the standard CT value matrix are both CT value matrices corresponding to the same imaging object, and are obtained based on the same algorithm based on the electrical signals. Therefore, the actual measurement CT value matrix and each CT value in the standard CT value matrix have a corresponding relationship. For example, the CT values in the same row and the same column belong to corresponding CT values, but of course, other corresponding relationships are possible according to the actually adopted algorithm, and the present invention is not limited thereto.
Therefore, the CT values which have the corresponding relation with each other in the actual measurement CT value matrix and the standard CT value matrix can be compared to find out the CT values which have the corresponding relation but are different, and the different CT values can be determined based on the different CT values. The difference CT value can be used to represent the difference between the actual measurement CT value matrix and the standard CT value matrix, and further, a comparison image obtained based on the difference CT value can also be used to represent the difference between the actual measurement CT image and the standard CT image (i.e., an image of a healthy tissue or organ).
In some embodiments, the two CT values corresponding to each other are not the same, and do not necessarily represent a difference. Therefore, some conditions for determining the difference CT value may be set to determine the difference CT value according to the set conditions.
Therefore, as a first optional implementation manner, comparing each CT value in the actually measured CT value matrix with a corresponding CT value in the standard CT value matrix, and determining a difference CT value in the actually measured CT value matrix, which is different from the corresponding CT value in the standard CT value matrix, includes: and comparing each CT value in the actual measurement CT value matrix with the corresponding CT value in the standard CT value matrix, determining the CT value of which the difference absolute value between the CT values in the actual measurement CT value matrix and the corresponding CT value in the standard CT value matrix is greater than the preset difference absolute value, and determining the CT value as different difference CT values.
In this embodiment, the magnitudes of the CT values having a correspondence relationship with each other are compared, and the absolute value of the difference between the CT values having a correspondence relationship with each other is calculated.
It is understood that if the calculated absolute value of the difference is 0, which means that there is no difference between the CT values having the corresponding relationship with each other, the corresponding CT value in the measured CT value matrix can be directly determined as being not a difference CT value.
If the absolute value of the calculated difference is not 0, it indicates that there is a difference between the CT values corresponding to each other. However, it is necessary to determine whether the absolute value of the difference between the CT values having a corresponding relationship with each other satisfies the predetermined absolute value of difference, and if not, it indicates that the corresponding CT value in the actually measured CT value matrix is not the difference CT value; if yes, the corresponding CT value in the actually measured CT value matrix is the difference CT value.
For example, there is a corresponding relationship between CT value 1 in the measured CT value matrix and CT value 2 in the standard CT value matrix. At this time, calculating a difference value between the CT value 1 and the CT value 2, and determining whether the difference value between the CT value 1 and the CT value 2 is greater than a preset CT value (i.e., a preset absolute difference value), if so, the CT value 1 is a difference CT value; if less than or equal to, then CT value 1 is not a difference CT value.
The preset absolute difference value can be flexibly configured according to different organs, different tissues, different imaging devices, different image scanning environments and the like, and the value is not specifically limited.
In this embodiment, the CT values in the actual measurement CT value matrix that have the absolute value of the difference between the CT values corresponding to the standard CT value matrix that are greater than the preset absolute value of the difference are determined as different differential CT values, so that effective determination of the comparative CT image can be achieved based on the differential CT values.
As a second optional implementation manner, comparing each CT value in the actually measured CT value matrix with a corresponding CT value in the standard CT value matrix, and determining a difference CT value in the actually measured CT value matrix, which is different from the corresponding CT value in the standard CT value matrix, includes: comparing each CT value in the actual measurement CT value matrix with the corresponding CT value in the standard CT value matrix, determining the CT value of which the difference absolute value between the CT values in the actual measurement CT value matrix and the corresponding CT value in the standard CT value matrix is within a preset difference absolute value range, and determining the CT value as different difference CT values; the upper limit of the preset difference absolute value range is a first preset difference absolute value, the lower limit of the preset difference absolute value range is a second preset difference absolute value, the first preset difference absolute value is larger than the second preset difference absolute value, and the difference between the first preset difference absolute value and the second preset difference absolute value is a preset value.
In this embodiment, the CT values having a correspondence relationship with each other are compared, and the absolute value of the difference between the CT values having a correspondence relationship with each other is calculated.
It is understood that if the calculated absolute value of the difference is 0, which means that there is no difference between the CT values having the corresponding relationship with each other, the corresponding CT value in the measured CT value matrix can be directly determined as being not a difference CT value.
If the absolute value of the calculated difference is not 0, it indicates that there is a difference between the CT values corresponding to each other. However, it is necessary to determine whether the absolute value of the difference between the CT values having the correspondence relationship with each other is within a preset absolute value range of the difference. If the difference value is within the preset difference value absolute value range, determining the corresponding CT value in the actually measured CT value matrix as a difference CT value; if the difference value is not in the preset difference value absolute value range, the corresponding CT value in the actually measured CT value matrix is not the difference CT value.
For example, there is a corresponding relationship between CT value 1 in the measured CT value matrix and CT value 2 in the standard CT value matrix. At the moment, calculating the difference value between the CT value 1 and the CT value 2, and judging whether the difference value between the CT value 1 and the CT value 2 is within a preset difference absolute value range, if so, the CT value 1 is a difference CT value; if not, then CT value 1 is not a difference CT value.
The preset difference absolute value range comprises an upper limit value and a lower limit value, the upper limit value is a first preset difference absolute value, the lower limit value is a second preset difference absolute value, and the difference between the first preset difference absolute value and the second preset difference absolute value is a preset value.
The first preset difference absolute value, the second preset difference absolute value and the preset value related to the preset difference absolute value range can be flexibly configured according to different organs, different tissues, different imaging devices, different image scanning environments and the like, and the values are not particularly limited.
In this embodiment, the CT values in the actual measurement CT value matrix and the CT values corresponding to the standard CT value matrix, whose absolute values of the differences are within the preset absolute value range of the differences, are determined as different difference CT values, so that effective determination of the comparison CT image can be realized based on the difference CT values.
In addition to the two different CT value determination methods described above, other embodiments may also be employed, such as: the corresponding CT value where the absolute value of the difference between the CT values having the correspondence relationship with each other is not 0 is directly determined as the difference CT value or the like, and is not limited herein.
And 104, converting the actually measured CT value matrix into pixel gray corresponding to the image pixel to obtain an actually measured CT image corresponding to the imaging object.
By combining the introduction of the imaging principle, it can be known that based on the actually measured CT value matrix, image reconstruction can be performed, that is, the actually measured CT value matrix is converted into pixel gray corresponding to image pixels to realize CT imaging, so as to obtain an actually measured CT image corresponding to an imaging object.
For specific transformation, reference may be made to techniques well known in the art, and detailed descriptions thereof will not be provided herein.
In some embodiments, when the actual measurement CT image is converted, some image processing techniques may be further employed to improve the effect of the finally obtained actual measurement CT image.
As an optional implementation manner, converting the measured CT value matrix into a pixel gray scale corresponding to a pixel of an image to obtain a measured CT image corresponding to an imaging object includes: converting the actual measurement CT value matrix into pixel gray corresponding to the image pixel to obtain an initial CT image; and carrying out image enhancement processing on the initial CT image to obtain an actually measured CT image.
In the embodiment, the initial CT image is obtained based on the actually measured CT value matrix, and then the image enhancement processing is carried out on the initial CT image, so that the obtained actually measured CT image has better effect.
In some embodiments, in addition to image enhancement processing, for example: the image processing methods such as image brightness processing, image chromaticity processing, and image contrast processing, which are not exemplified herein, improve the effect of the finally obtained actual measurement CT image.
In the embodiment, the actual measurement CT value matrix is converted into the pixel gray scale corresponding to the image pixel to obtain the initial CT image, and then the image enhancement processing is performed on the initial CT image to improve the imaging effect of the obtained actual measurement CT image.
And 105, obtaining a comparison CT image corresponding to the actual measurement CT image based on the difference CT value, and displaying the actual measurement CT image and the comparison CT image.
Based on the difference CT value, different determination modes of the comparison CT image can be adopted to obtain comparison CT images in different display forms.
As a first optional implementation manner, obtaining a comparison CT image corresponding to the measured CT image based on the difference CT value includes: in the actual measurement CT image, labeling the pixel gray scale corresponding to the difference CT value to obtain an actual measurement CT image subjected to labeling treatment; the marked actually measured CT image comprises identification information; and determining the actual measurement CT image subjected to the labeling processing as a comparison CT image corresponding to the actual measurement CT image.
In this embodiment, the comparison CT image is obtained directly based on the measured CT image. In some embodiments, the measured CT images may be duplicated, one remaining as the measured CT image and the other used to obtain the comparison CT image.
It will be appreciated that where the difference CT values are known, the pixel gray levels corresponding to each difference CT value are also known after the actual measured CT image is obtained by conversion. That is, since there is a corresponding relationship between each CT value and the pixel gray scale during the conversion process, the pixel gray scale corresponding to each difference CT value can be located in the actually measured CT image.
For these pixel grayscales, separate labeling processing can be performed. In some embodiments, annotation processing includes, but is not limited to: the label box label, the special character label, the special color label, etc. are not limited herein.
After the labeling process, the above-mentioned various labeling information can be regarded as the identification information in the actual measurement CT image of the labeling process. And determining the actual measurement CT image with the marking information as a comparison CT image corresponding to the actual measurement CT image.
Comparing the part marked with the difference from the standard CT image in the CT image compared with the actually measured CT image. And the compared CT image and the actually measured CT image are displayed at the same time, so that on one hand, a doctor can watch the unmarked CT image and can also watch the marked CT image, and more comprehensive judgment can be made.
In the embodiment, the pixel gray scale corresponding to the difference CT value is marked in the actually measured CT image to obtain a comparison CT image, so that the comparison CT image comprises identification information; therefore, for doctors with less experience, diagnosis can be carried out by combining the identification information and the actual measurement CT image; the applicability and the guidance of the imaging result are improved.
In this embodiment, as an optional embodiment, the displaying the measured CT image and the comparison CT image includes: cutting out an image part where the identification information in the CT image is compared to obtain a plurality of sub-images with the identification information; and amplifying the plurality of sub-images, and comparing the plurality of sub-images subjected to amplification with the actually measured CT image.
In this embodiment, based on the identification information in the CT image, the CT image may be cropped, and the image portion in which the identification information is located is cropped separately as a plurality of sub-images.
In some embodiments, when performing the cropping, an image size may be preset, and based on the identification information, the sub-image that conforms to the preset image size is cropped. That is, the plurality of sub-images meet the preset image size requirement.
Further, after a plurality of sub-images are obtained, the sub-images are amplified and compared with the actually measured CT image for display. For the doctor, the difference between the compared CT image and the actually measured CT image corresponding to the difference CT value can be better compared.
In the embodiment, when the comparison display is carried out, image parts where the identification information in the comparison CT image is located, namely a plurality of sub-images, are cut out; and after the amplification treatment is carried out on a plurality of sub-images, the sub-images are compared with the actually measured CT image for display, so that the instructive performance of the imaging result is improved, and the actually measured CT image and the compared CT image can be more effectively applied.
As a second optional implementation manner, obtaining a comparison CT image corresponding to the measured CT image based on the difference CT value includes: converting the difference CT value into pixel gray corresponding to the image pixel to obtain a difference CT image corresponding to the difference CT value; and determining the difference CT image as a comparison CT image corresponding to the actually measured CT image.
In this embodiment, the image conversion is performed directly based on the difference CT value to obtain a corresponding difference CT image, which may not be a complete image of the imaged object, but may exhibit abnormal portions in the imaged object.
Therefore, the difference CT image is determined as the comparison CT image corresponding to the actually measured CT image, and the comparison CT image can more directly present the abnormal portion of the imaged object compared with the former embodiment.
Therefore, in this embodiment, the comparison CT image can be directly compared with the actual measurement CT image for display without further processing on the comparison CT image.
Of course, the comparison CT image may be cropped, enlarged, or otherwise processed according to specific viewing requirements (e.g., to be more clearly seen), and is not limited herein.
In the embodiment, the difference CT value is directly converted into the difference CT image, and the difference CT image is used as the comparison CT image, so that the difference CT image has a better comparison effect, the guidance of an imaging result is improved, and the actual measurement CT image and the comparison CT image can be more effectively applied.
After the actual measurement CT image is compared with the comparison CT image for display, a doctor can perform related judgment or diagnosis according to the displayed two images; for some experienced physicians, if the comparison of CT images is ambiguous, the correction can be made manually.
Thus, in some embodiments, the composite imaging method further comprises: receiving a calibration comparison CT image uploaded by a user; determining a difference pixel gray value between the calibration comparison CT image and the comparison CT image; and adjusting the standard CT value matrix based on the difference pixel gray value to obtain and store the adjusted standard CT value matrix.
In this embodiment, the user generates and uploads a calibrated comparison CT image by calibrating the comparison CT image. Then, the difference pixel gray values in the calibration comparison CT image and the comparison CT image are determined, i.e. the difference pixel gray values involved in the calibration of the user are determined, which are not the same in the comparison CT image and the calibration comparison CT image.
Based on the difference pixel gray value, the CT value corresponding to the difference pixel gray value can be determined; therefore, based on the corresponding CT values, the standard CT value matrix can be adjusted; to obtain an adjusted standard CT value matrix.
In some embodiments, when the standard CT value matrix is adjusted, the adjustment may be implemented by using a preset adjustment value.
As an optional implementation manner, assuming that the difference pixel corresponding to the gray value of the difference pixel in the CT image is the difference pixel 1, and the difference between the gray value corresponding to the difference pixel 1 and the gray value of the pixel corresponding to the CT image in the calibration comparison satisfies the first difference condition, the CT value corresponding to the difference pixel 1 in the standard CT value matrix is adjusted based on the first adjustment value.
The first difference condition, the first adjustment value, and the like may be specifically set in combination with different application scenarios, which is not limited herein.
In other embodiments, the standard CT value matrix may also be adjusted based on the calibration alignment CT image. For example, determining a pixel gray value of the difference pixel gray value in the CT image by calibration comparison, and then taking the pixel gray value as a pixel gray value corresponding to the CT value corresponding to the difference pixel gray value; and then, the corresponding CT value in the standard CT value matrix is adjusted by combining the pixel after the pixel gray value is updated.
In this embodiment, the user may also calibrate the comparison CT image, and based on the calibration result, may adjust the standard CT value matrix to improve the accuracy of the standard CT value matrix, thereby improving the accuracy of the subsequent comparison CT image obtained based on the standard CT value matrix.
By introducing the above embodiments, compared with the prior art, according to the CT-based composite imaging method of the embodiment of the present invention, a single imaging mode is not adopted any more, but contrast imaging is added on the basis of an inherent imaging result, that is, an original imaging and contrast imaging are obtained by adopting a composite imaging mode. And aiming at the comparison imaging result, firstly obtaining a difference CT value based on the actually measured CT value matrix and a preset standard CT value matrix, and then obtaining a comparison CT image based on the difference CT value. It is understood that the difference CT value between the measured CT value matrix and the standard CT value matrix may represent a difference portion between the current imaging object and the standard imaging object, and therefore, the difference CT image obtained based on the difference CT value may also be used to represent a difference between the current imaging object and the standard object. Therefore, for the doctor, regardless of rich experience, the actual measurement CT image is displayed and compared with the CT image, so that the doctor can play a good guiding role, and the doctor can make more accurate judgment. Therefore, the CT-based composite imaging method and the CT-based composite imaging device improve the applicability and the guidance of the CT imaging result by comparing the imaging composite imaging mode.
As shown in fig. 2, a schematic structural diagram of a CT-based composite imaging apparatus provided in an embodiment of the present invention includes:
an obtaining module 201, configured to: acquiring an actually measured CT value matrix corresponding to an imaging object; the imaging object is a human organ or tissue; and acquiring a pre-stored standard CT value matrix corresponding to the imaging object.
A processing module 202 configured to: comparing each CT value in the actually measured CT value matrix with the corresponding CT value in the standard CT value matrix to determine a difference CT value in the actually measured CT value matrix, which is different from the corresponding CT value in the standard CT value matrix; converting the actually measured CT value matrix into pixel gray corresponding to image pixels so as to obtain an actually measured CT image corresponding to the imaging object; and obtaining a comparison CT image corresponding to the actual measurement CT image based on the difference CT value, and displaying the actual measurement CT image and the comparison CT image.
In one or more embodiments of the invention, the processing module 202 is further configured to: carrying out CT imaging on a simulated imaging object which accords with a health standard on the basis of CT to obtain a standard CT image corresponding to the simulated imaging object; and determining a standard CT value matrix corresponding to the imaging object based on the standard CT image.
In one or more embodiments of the present invention, the processing module 202 is specifically configured to: and comparing each CT value in the actually measured CT value matrix with the corresponding CT value in the standard CT value matrix, determining the CT value of which the absolute value of the difference value between the CT values in the actually measured CT value matrix and the corresponding CT value in the standard CT value matrix is greater than the preset absolute value of the difference value, and determining the CT value as the different difference CT value.
In one or more embodiments of the present invention, the processing module 202 is specifically configured to: comparing each CT value in the actually measured CT value matrix with the corresponding CT value in the standard CT value matrix, determining the CT value of which the difference absolute value between the CT values in the actually measured CT value matrix and the CT values in the standard CT value matrix is within a preset difference absolute value range, and determining the CT value as the different difference CT value; the upper limit of the preset difference absolute value range is a first preset difference absolute value, the lower limit of the preset difference absolute value range is a second preset difference absolute value, the first preset difference absolute value is larger than the second preset difference absolute value, and the difference between the first preset difference absolute value and the second preset difference absolute value is a preset value.
In one or more embodiments of the present invention, the processing module 202 is specifically configured to: converting the actually measured CT value matrix into pixel gray corresponding to image pixels to obtain an initial CT image; and carrying out image enhancement processing on the initial CT image to obtain the actually measured CT image.
In one or more embodiments of the present invention, the processing module 202 is specifically configured to: in the actual measurement CT image, labeling the pixel gray scale corresponding to the difference CT value to obtain a labeled actual measurement CT image; the marked actually measured CT image comprises identification information; and determining the actual measurement CT image subjected to the labeling processing as a comparison CT image corresponding to the actual measurement CT image.
In one or more embodiments of the present invention, the processing module 202 is specifically configured to: cutting out an image part where the identification information in the comparison CT image is located to obtain a plurality of sub-images with the identification information; and amplifying the plurality of sub-images, and comparing and displaying the plurality of amplified sub-images with the actually measured CT image.
In one or more embodiments of the present invention, the processing module 202 is specifically configured to: converting the difference CT value into pixel gray corresponding to an image pixel to obtain a difference CT image corresponding to the difference CT value; and determining the difference CT image as a comparison CT image corresponding to the actual measurement CT image.
In one or more embodiments of the invention, the processing module 202 is further configured to: receiving a calibration comparison CT image uploaded by a user; determining a difference pixel gray value between the calibration comparison CT image and the comparison CT image; and adjusting the standard CT value matrix based on the difference pixel gray value to obtain and store the adjusted standard CT value matrix.
The CT-based composite imaging apparatus corresponds to the CT-based composite imaging method, and therefore, the embodiments of the prospective imaging apparatus based on the lung cancer image can refer to the embodiments of the CT-based composite imaging method, which will not be described repeatedly herein.
Referring to fig. 3, an embodiment of the present application further provides an electronic device, including: a processor 301 and a memory 302, the processor 301 and the memory 302 being communicatively coupled. The electronic device can be used as the execution subject of the CT-based composite imaging method.
Stored in the memory 302 are instructions executable by the processor 301, and the instructions are executed by the processor 301 to enable the processor 301 to perform the CT-based composite imaging described in the foregoing embodiments.
In some embodiments, the processor 301 and the memory 302 are communicatively coupled by a communication bus.
It is understood that the electronic device may further comprise more required general modules, which are not described in the embodiments of the present invention.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The foregoing descriptions of specific exemplary embodiments of the present invention have been presented for purposes of illustration and description. It is not intended to limit the invention to the precise form disclosed, and obviously many modifications and variations are possible in light of the above teaching. The exemplary embodiments were chosen and described in order to explain certain principles of the invention and its practical application to enable one skilled in the art to make and use various exemplary embodiments of the invention and various alternatives and modifications as are suited to the particular use contemplated. It is intended that the scope of the invention be defined by the claims and their equivalents.
Claims (8)
1. A CT-based composite imaging method, comprising:
acquiring an actually measured CT value matrix corresponding to an imaging object; the imaging object is a human organ or tissue;
acquiring a pre-stored standard CT value matrix corresponding to the imaging object;
comparing each CT value in the actually measured CT value matrix with the corresponding CT value in the standard CT value matrix to determine a difference CT value in the actually measured CT value matrix, which is different from the corresponding CT value in the standard CT value matrix;
converting the actually measured CT value matrix into pixel gray corresponding to image pixels so as to obtain an actually measured CT image corresponding to the imaging object;
obtaining a comparison CT image corresponding to the actual measurement CT image based on the difference CT value, and displaying the actual measurement CT image and the comparison CT image;
the comparing each CT value in the actually measured CT value matrix with the corresponding CT value in the standard CT value matrix to determine a difference CT value in the actually measured CT value matrix that is different from the corresponding CT value in the standard CT value matrix includes:
comparing each CT value in the actually measured CT value matrix with the corresponding CT value in the standard CT value matrix, determining the CT value of which the difference absolute value between the CT values in the actually measured CT value matrix and the CT values in the standard CT value matrix is within a preset difference absolute value range, and determining the CT value as the different difference CT value; the upper limit of the preset difference absolute value range is a first preset difference absolute value, the lower limit of the preset difference absolute value range is a second preset difference absolute value, the first preset difference absolute value is larger than the second preset difference absolute value, and the difference between the first preset difference absolute value and the second preset difference absolute value is a preset value.
2. The CT-based composite imaging method of claim 1, further comprising:
carrying out CT imaging on a simulated imaging object which accords with a health standard on the basis of CT to obtain a standard CT image corresponding to the simulated imaging object;
and determining a standard CT value matrix corresponding to the imaging object based on the standard CT image.
3. The CT-based composite imaging method according to claim 1, wherein said converting the measured CT value matrix into pixel gray levels corresponding to image pixels to obtain the measured CT image corresponding to the imaged object comprises:
converting the actually measured CT value matrix into pixel gray corresponding to image pixels to obtain an initial CT image;
and carrying out image enhancement processing on the initial CT image to obtain the actually measured CT image.
4. The CT-based composite imaging method of claim 1, wherein said obtaining a comparison CT image corresponding to said measured CT image based on said differential CT values comprises:
in the actual measurement CT image, labeling the pixel gray scale corresponding to the difference CT value to obtain a labeled actual measurement CT image; the marked actually measured CT image comprises identification information;
and determining the actual measurement CT image subjected to the labeling processing as a comparison CT image corresponding to the actual measurement CT image.
5. The CT-based composite imaging method according to claim 4, wherein said displaying said measured CT image and said comparison CT image comprises:
cutting out an image part where the identification information in the comparison CT image is located to obtain a plurality of sub-images with the identification information;
and amplifying the plurality of sub-images, and comparing and displaying the plurality of amplified sub-images with the actually measured CT image.
6. The CT-based composite imaging method of claim 1, wherein said obtaining a comparison CT image corresponding to said measured CT image based on said differential CT values comprises:
converting the difference CT value into pixel gray corresponding to an image pixel to obtain a difference CT image corresponding to the difference CT value;
and determining the difference CT image as a comparison CT image corresponding to the actual measurement CT image.
7. The CT-based composite imaging method of claim 1, further comprising:
receiving a calibration comparison CT image uploaded by a user;
determining a difference pixel gray value between the calibration comparison CT image and the comparison CT image;
and adjusting the standard CT value matrix based on the difference pixel gray value to obtain and store the adjusted standard CT value matrix.
8. A CT-based composite imaging apparatus, comprising:
an acquisition module to:
acquiring an actually measured CT value matrix corresponding to an imaging object; the imaging object is a human organ or tissue;
acquiring a pre-stored standard CT value matrix corresponding to the imaging object;
a processing module to:
comparing each CT value in the actually measured CT value matrix with the corresponding CT value in the standard CT value matrix to determine a difference CT value in the actually measured CT value matrix, which is different from the corresponding CT value in the standard CT value matrix;
converting the actually measured CT value matrix into pixel gray corresponding to image pixels so as to obtain an actually measured CT image corresponding to the imaging object;
obtaining a comparison CT image corresponding to the actual measurement CT image based on the difference CT value, and displaying the actual measurement CT image and the comparison CT image;
the processing module is further to: comparing each CT value in the actually measured CT value matrix with the corresponding CT value in the standard CT value matrix, determining the CT value of which the difference absolute value between the CT values in the actually measured CT value matrix and the CT values in the standard CT value matrix is within a preset difference absolute value range, and determining the CT value as the different difference CT value; the upper limit of the preset difference absolute value range is a first preset difference absolute value, the lower limit of the preset difference absolute value range is a second preset difference absolute value, the first preset difference absolute value is larger than the second preset difference absolute value, and the difference between the first preset difference absolute value and the second preset difference absolute value is a preset value.
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2017023516A (en) * | 2015-07-24 | 2017-02-02 | ジーイー・メディカル・システムズ・グローバル・テクノロジー・カンパニー・エルエルシー | Radiation tomography apparatus and program |
| CN113706652A (en) * | 2021-09-23 | 2021-11-26 | 明峰医疗系统股份有限公司 | Method for removing ring-shaped artifacts with morphological assistance |
Family Cites Families (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
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| US9230322B2 (en) * | 2014-04-04 | 2016-01-05 | Kabushiki Kaisha Toshiba | Image processor, treatment system, and image processing method |
| CN104000619A (en) * | 2014-06-16 | 2014-08-27 | 彭文献 | Thyroid CT image computer-aided diagnosis system and method |
| JP6416531B2 (en) * | 2014-07-24 | 2018-10-31 | 株式会社プロスパークリエイティブ | Image inspection apparatus and image inspection program |
| CN108078581B (en) * | 2017-12-12 | 2019-02-12 | 北京青燕祥云科技有限公司 | The good pernicious judgement system of lung cancer and realization device based on convolutional neural networks |
| CN110934606B (en) * | 2019-10-31 | 2021-02-12 | 上海杏脉信息科技有限公司 | Cerebral apoplexy early-stage flat-scan CT image evaluation system and method and readable storage medium |
| WO2022126581A1 (en) * | 2020-12-18 | 2022-06-23 | 深圳先进技术研究院 | Pet image reconstruction method and apparatus, and device |
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Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113706652A (en) * | 2021-09-23 | 2021-11-26 | 明峰医疗系统股份有限公司 | Method for removing ring-shaped artifacts with morphological assistance |
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