CN107595311A - Dual energy CT image processing method, device and equipment - Google Patents
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Abstract
The application provides a kind of dual energy CT image processing method, device and image processing equipment, and methods described includes：Dual energy CT is carried out to tested tissue, obtains the section imaging sequence of the tested tissue, in the section imaging sequence, the section imaging of each section includes the high-energy image and low energy image of the section；For in the section imaging sequence, the section of each section is imaged, the dual intensity volume index of each pixel in the section imaging is calculated；For each section, the dual intensity volume index of each pixel in being imaged according to the section of the section, the pseudo- color dual energy index map of the section is generated；Export the color dual energy index map of the puppet.Using this method, the efficiency for carrying out differentiation and the discriminating of material to being detected tissue can be improved.
Description
Technical Field
The present disclosure relates to the field of CT image processing technologies, and in particular, to a dual-energy CT image processing method, device and apparatus.
Background
The dual-energy CT scanning technology has the function of analyzing the composition of the detected tissue by utilizing different attenuation coefficients of different substances under different tube voltages. Generally, a dual-energy CT scan can be performed on the tissue to be detected to obtain a dual-energy CT image, the dual-energy CT image is processed, and the user can distinguish and identify the substance of the tissue to be detected according to the processing result.
In the related technology, single energy images under various different energies can be calculated according to the dual-energy CT image, calculation analysis is performed according to the single energy images to obtain an energy spectrum curve, a material density image, an atomic number image and the like, and then a user performs calculation analysis according to the images to distinguish and identify materials of the detected tissue.
Therefore, in the related art, when the substance is distinguished and identified on the detected tissue through the dual-energy CT image, a complicated image processing process needs to be performed on the dual-energy CT image, so that a tool for assisting the user in distinguishing and identifying the substance, such as an energy spectrum curve, an atomic number image, and the like, can be obtained. Therefore, the process of distinguishing and identifying the substance of the tissue to be examined in the related art is inefficient.
Disclosure of Invention
In view of the above, the present application provides a dual energy CT image processing method and apparatus to improve the efficiency of substance differentiation and identification of the examined tissue.
Specifically, the method is realized through the following technical scheme:
according to a first aspect of embodiments of the present application, there is provided a dual energy CT image processing method, the method including:
performing double-energy CT scanning on a detected tissue to obtain a section imaging sequence of the detected tissue, wherein in the section imaging sequence, section imaging of each section comprises a high-energy image and a low-energy image of the section;
aiming at the section imaging of each section in the section imaging sequence, calculating the dual-energy index of each pixel point in the section imaging;
aiming at each section, generating a pseudo-color dual-energy index graph of the section according to the dual-energy index of each pixel point in the section imaging of the section;
and outputting the pseudo-color dual-energy index graph.
According to a second aspect of embodiments of the present application, there is provided a dual energy CT image processing apparatus, the apparatus comprising:
the scanning unit is used for carrying out double-energy CT scanning on the detected tissue to obtain a section imaging sequence of the detected tissue, wherein in the section imaging sequence, the section imaging of each section comprises a high-energy image and a low-energy image of the section;
the calculation unit is used for calculating the dual-energy index of each pixel point in the section imaging aiming at the section imaging of each section in the section imaging sequence;
the generating unit is used for generating a pseudo-color dual-energy index graph of the section according to the dual-energy index of each pixel point in the section imaging of the section aiming at each section;
and the output unit is used for outputting the pseudo-color dual-energy index graph.
According to a third aspect of embodiments of the present application, there is provided an image processing apparatus comprising: the system comprises an internal bus, a memory and a processor which are connected through the internal bus; wherein,
the memory is used for storing machine readable instructions corresponding to control logic of the dual-energy CT image processing;
the processor is configured to read the machine-readable instructions on the memory and execute the instructions to implement the following operations:
performing double-energy CT scanning on a detected tissue to obtain a section imaging sequence of the detected tissue, wherein in the section imaging sequence, section imaging of each section comprises a high-energy image and a low-energy image of the section;
aiming at the section imaging of each section in the section imaging sequence, calculating the dual-energy index of each pixel point in the section imaging;
aiming at each section, generating a pseudo-color dual-energy index graph of the section according to the dual-energy index of each pixel point in the section imaging of the section;
and outputting the pseudo-color dual-energy index graph.
By applying the dual-energy CT image processing embodiment provided by the application, the dual-energy CT scanning is carried out on the detected tissue, the dual-energy index of each pixel point in the section imaging sequence is calculated according to the section imaging of each section in the obtained section imaging sequence, then the pseudo-color dual-energy index graph of each section is generated according to the dual-energy index of each pixel point, and the pseudo-color dual-energy index graph is output.
Drawings
FIG. 1 is a flowchart of an embodiment of a dual-energy CT image processing method according to the present application;
FIG. 2 is a block diagram of an embodiment of a dual-energy CT image processing apparatus according to the present application;
FIG. 3 is a block diagram of another embodiment of a dual-energy CT image processing apparatus according to the present application;
FIG. 4 is a block diagram of another embodiment of a dual-energy CT image processing apparatus according to the present application;
fig. 5 is a schematic diagram of an embodiment of an image processing apparatus according to the present application.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this application and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
It is to be understood that although the terms first, second, third, etc. may be used herein to describe various information, such information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the present application. The word "if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination", depending on the context.
In the related art, a dual-energy CT scan may be performed on a tissue to be detected, a single-energy image under multiple energies is calculated according to the dual-energy CT image, a calculation analysis may be performed according to the single-energy image, an energy spectrum curve, a material density image, an atomic number image, and the like may be obtained, and then, a user performs a calculation analysis according to the images to distinguish and identify the material of the tissue to be detected.
Therefore, in the related art, when the substance is distinguished and identified on the detected tissue through the dual-energy CT image, a complicated image processing procedure needs to be performed on the dual-energy CT image, so that a tool (such as an energy spectrum curve, an atomic number image, and the like) for assisting the user in distinguishing and identifying the substance can be obtained. Therefore, the process of distinguishing and identifying the substance of the tissue to be examined in the related art is inefficient.
In order to solve the above problems, the present application provides a dual energy CT image processing method, device and image processing apparatus to improve the efficiency of substance differentiation and identification of a tissue to be examined.
In the Dual Energy CT image processing method provided by the present application, a Dual Energy Index (DEI) of a tissue to be detected is calculated according to a Dual Energy CT image, a pseudo-color Dual Energy Index map of the tissue to be detected is generated according to the Dual Energy Index, and different colors represent different Dual Energy indices in the pseudo-color Dual Energy Index map. In the application, firstly, the CT values of the detected tissue under high energy and low energy are measured according to the dual-energy CT image, namely, the dual-energy index of the detected tissue can be calculated, and the calculation mode of the visible dual-energy index is simpler and more convenient; secondly, the dual energy index has a greater use value in the distinction and identification of substances than other tools, such as atomic number, substance density, energy spectrum curve, and the like, for example, the dual energy index can eliminate the influence of the substance density difference on the X-ray attenuation value and can be used for substance distinction and identification; for another example, when a contrast agent exists in the examined tissue, the dual energy index of the examined tissue is increased, and the dual energy index is in direct proportion to the concentration of the contrast agent, so that a doctor can conveniently identify the contrast agent in the examined tissue, and the doctor can conveniently observe the distribution condition of the contrast agent; for another example, since the dual energy index can reflect the distribution of the contrast agent in the examined tissue, and the doctor combines the basic fact that the contrast agent changes slowly in the delay period of the lesion such as tumor, the dual energy index can be applied to the delay period to provide the information of tumor activity, and so on; finally, because the double-energy index of the detected tissue is displayed in the form of color in the pseudo-color double-energy index graph, and different colors represent different double-energy indexes, the user can intuitively distinguish and identify the detected tissue according to the pseudo-color double-energy index graph. In summary, the dual-energy CT image processing method provided by the present application can improve the efficiency of substance differentiation and identification of the examined tissue.
The dual-energy CT image processing method provided in the present application will be described below by referring to the following embodiments:
referring to fig. 1, a flowchart of an embodiment of a dual-energy CT image processing method according to the present application is shown, which includes the following steps:
step 101: and carrying out double-energy CT scanning on the detected tissue to obtain a section imaging sequence of the detected tissue, wherein the section imaging of each section in the section imaging sequence comprises a high-energy image and a low-energy image of the section.
In the present application, a dual-energy CT scan may be performed on a tissue to be detected to obtain imaging sequences of the tissue to be detected at high and low energies, and for convenience of description, the imaging sequences of the tissue to be detected at high and low energies are collectively referred to as a slice imaging sequence. Then, in the slice imaging sequence, the slice imaging of each slice includes a high energy image and a low energy image of the slice.
Step 102: and calculating the dual-energy index of each pixel point in the section imaging sequence aiming at the section imaging of each section in the section imaging sequence.
In the application, in order to assist a user in distinguishing and identifying the substance of the detected tissue, the dual-energy index of each pixel point in section imaging of each section can be calculated by taking the pixel points as units. Specifically, taking a slice imaging in the slice imaging sequence obtained in step 101 as an example, first, according to the high-energy image in the slice imaging, a CT value of each pixel point under high energy is calculated and recorded as CTH(ii) a And calculating the CT value of each pixel point under low energy according to the low energy image in the section imaging, and recording as CTL。
Subsequently, the CT of the pixel point can be usedHAnd CTLAnd calculating the dual energy index of the pixel point, specifically, calculating the dual energy index of the pixel point according to the following formula (one):
in the above formula (one), k is a constant, and usually, k is 2000.
The above equation (one) is briefly explained as follows:
as will be appreciated by those skilled in the art, the CT value of a substance is equal to the difference between the attenuation coefficient of the substance and the attenuation coefficient of water, and then the ratio of the difference to the attenuation coefficient of water is multiplied by 1000, i.e. the CT value of the substance can be calculated according to the following equation (two):
in the above formula (II), u is the attenuation coefficient of the substance, uwaterThe attenuation coefficient of water.
The dual energy index can be calculated according to the following formula (three):
in the above formula (III), uLRepresents the attenuation coefficient, u, of a substance at low energyHRepresenting the attenuation coefficient of a substance at high energy.
The formula (one) can be obtained by substituting the formula (two) into the formula (three).
In this step, how to calculate the CT of each pixel point is specificallyHAnd CTLFor the person skilled in the art, reference may be made to the description in the prior art, which is not described in detail in the present application.
Step 103: and aiming at each section, generating a pseudo-color dual-energy index graph of the section according to the dual-energy index of each pixel point in the section imaging of the section.
In the application, in order to facilitate a user to intuitively know the dual energy index of the tissue to be detected, a gray-scale dual energy index graph corresponding to the section can be generated according to the dual energy index of each pixel point in section imaging of each section, and in the gray-scale dual energy index graph, the pixel value of each pixel point is the dual energy index of the pixel point. And then, carrying out pseudo-color processing on the gray-scale double-energy index graph to obtain a pseudo-color double-energy index graph corresponding to the section, wherein different colors represent different double-energy indexes in the pseudo-color double-energy index graph, so that a user can intuitively distinguish different double-energy indexes, namely different substances through the colors, and can intuitively identify the substances based on the colors.
As can be understood by those skilled in the art, since the gray scale dual energy index map and the pseudo color dual energy index map are for each pixel point in the section imaging, the gray scale dual energy index map, the pseudo color dual energy index map and the section imaging have the same image size.
Step 104: and outputting a pseudo-color dual-energy index graph.
In the application, the serial number of the designated section can be obtained, and the pseudo-color dual-energy index graph of the designated section is output according to the serial number. It should be noted that, the number of the designated cut planes is not limited in the present application, that is, the number of the output pseudo-color dual energy index maps is not limited in the present application.
In an alternative implementation, the serial number of the designated section may be user-entered. As will be understood by those skilled in the art, in step 104, the user may control the image processing device to switch the pseudo-color dual energy index maps of different cut planes on the display interface by inputting the serial number of the designated cut plane according to actual requirements, so as to facilitate the user to view the pseudo-color dual energy index maps of different cut planes.
In addition, in the present application, after the step 102 is executed, and the dual energy index of each pixel point in each section imaging is calculated, a dual energy index reference range may be determined according to the dual energy index of the pixel point for each pixel point in each section imaging, for example, if the dual energy index of the pixel point is 1.1 and the preset range radius is 0.5, then the determined dual energy index reference range is 0.6 to 1.6((1.1-0.5) to 1.1+0.5)), then the corresponding relationship between the preset dual energy index value and the substance is searched according to the dual energy index reference range, so as to obtain the substance corresponding to each dual energy index value belonging to the dual energy index reference range, for example, if the corresponding relationship between the preset dual energy index value and the substance is searched, it is determined that there are 3 dual energy index values belonging to the dual energy index reference range, the method comprises the following steps: and 0.7, 0.8 and 1, acquiring substances corresponding to the 3 double energy index values, and assuming that the substances are substance a, substance B and substance C respectively, determining the substance a, the substance B and the substance C as reference substances corresponding to the pixel points.
Based on the above description, in an application scenario, a user may operate a display interface of the image processing device through a mouse, and after the user operates the mouse and moves a mouse arrow to a certain pixel point in the pseudo-color dual-energy index map, the image processing device may display a reference substance corresponding to the pixel point on the display interface, so that the user may finally determine the most probable substance on the pixel point according to the reference substance and other analysis conclusions through the processing, thereby improving the efficiency of the user in substance differentiation and identification of the detected tissue.
By applying the dual-energy CT image processing embodiment provided by the application, the dual-energy CT scanning is carried out on the detected tissue, the dual-energy index of each pixel point in the section imaging sequence is calculated according to the section imaging of each section in the obtained section imaging sequence, then the pseudo-color dual-energy index graph of each section is generated according to the dual-energy index of each pixel point, and the pseudo-color dual-energy index graph is output.
Corresponding to the foregoing embodiments of the dual-energy CT image processing method, the present application further provides embodiments of a dual-energy CT image processing apparatus.
Referring to fig. 2, a block diagram of an embodiment of a dual-energy CT image processing apparatus according to the present invention is shown, the apparatus may include: a scanning unit 210, a calculating unit 220, a generating unit 230, and an output unit 240.
The scanning unit 210 may be configured to perform dual-energy CT scanning on a detected tissue to obtain a slice imaging sequence of the detected tissue, where in the slice imaging sequence, slice imaging of each slice includes a high-energy image and a low-energy image of the slice;
the calculating unit 220 may be configured to calculate a dual energy index of each pixel point in the section imaging sequence for the section imaging of each section in the section imaging sequence;
the generating unit 230 may be configured to generate, for each tangent plane, a pseudo-color dual-energy-index map of the tangent plane according to a dual-energy index of each pixel in tangent plane imaging of the tangent plane;
and an output unit 240, which may be configured to output the pseudo-color dual energy index map.
Referring to fig. 3, which is a block diagram of another embodiment of the dual-energy CT image processing apparatus of the present application, the apparatus illustrated in fig. 3 is based on the apparatus shown in fig. 2, wherein the calculating unit 220 may include: a first calculation subunit 221, a second calculation subunit 222; the generation unit 230 may include: a generation subunit 231 and a processing subunit 232; the output unit 240 may include: an acquisition sub-unit 241 and an output sub-unit 242.
The first calculating subunit 221 may be configured to calculate a CT value CT of each pixel point at high energy according to the high-energy image in the section imagingH(ii) a And calculating the CT value CT of each pixel point under low energy according to the low energy image in the section imagingL；
A second calculating subunit 222, configured to calculate a CT according to the each pixel pointHAnd CTLIs calculated toObtaining the dual energy index of each pixel point;
the generating subunit 231 is configured to generate a gray-scale dual-energy-index map corresponding to the section according to the dual-energy index of each pixel in the section imaging of the section;
the processing subunit 232 may be configured to perform pseudo-color processing on the grayscale dual-energy index map to obtain a pseudo-color dual-energy index map corresponding to the tangent plane;
an obtaining subunit 241, configured to obtain a serial number of the designated tangent plane;
the output subunit 242 may be configured to output the pseudo-color dual energy index map of the designated tangent plane according to the serial number.
Referring to fig. 4, a block diagram of a dual-energy CT image processing apparatus according to still another embodiment of the present invention is shown, where the apparatus illustrated in fig. 4 may further include, on the basis of the apparatus illustrated in fig. 2: a range determination unit 250, a lookup unit 260, a substance determination unit 270.
The range determining unit 250 may be configured to determine, after calculating the dual energy index of each pixel point in the section imaging, a dual energy index reference range according to the dual energy index of the pixel point for each pixel point in the section imaging of each section;
the searching unit 260 may be configured to search a correspondence between a dual energy index value and a substance according to the dual energy index reference range, so as to obtain a substance corresponding to the dual energy index value belonging to the dual energy index range;
the substance determining unit 270 may be configured to determine the corresponding substance as the reference substance corresponding to the pixel point.
Referring to fig. 5, a schematic diagram of an embodiment of an image processing apparatus according to the present application may include: an internal bus 510, a memory 520 and a processor 530 connected by the internal bus 510.
The memory 520 may be configured to store machine readable instructions corresponding to control logic of dual-energy CT image processing;
the processor 530 may be configured to read the machine-readable instructions on the memory and execute the instructions to:
performing double-energy CT scanning on a detected tissue to obtain a section imaging sequence of the detected tissue, wherein in the section imaging sequence, section imaging of each section comprises a high-energy image and a low-energy image of the section;
aiming at the section imaging of each section in the section imaging sequence, calculating the dual-energy index of each pixel point in the section imaging;
aiming at each section, generating a pseudo-color dual-energy index graph of the section according to the dual-energy index of each pixel point in the section imaging of the section;
and outputting the pseudo-color dual-energy index graph.
The implementation process of the functions and actions of each unit in the above device is specifically described in the implementation process of the corresponding step in the above method, and is not described herein again.
For the device embodiments, since they substantially correspond to the method embodiments, reference may be made to the partial description of the method embodiments for relevant points. The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the scheme of the application. One of ordinary skill in the art can understand and implement it without inventive effort.
The above description is only exemplary of the present application and should not be taken as limiting the present application, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present application should be included in the scope of protection of the present application.
Claims (11)
1. A dual energy CT image processing method, the method comprising:
performing double-energy CT scanning on a detected tissue to obtain a section imaging sequence of the detected tissue, wherein in the section imaging sequence, section imaging of each section comprises a high-energy image and a low-energy image of the section;
aiming at the section imaging of each section in the section imaging sequence, calculating the dual-energy index of each pixel point in the section imaging;
aiming at each section, generating a pseudo-color dual-energy index graph of the section according to the dual-energy index of each pixel point in the section imaging of the section;
and outputting the pseudo-color dual-energy index graph.
2. The method of claim 1, wherein the calculating the dual energy index for each pixel point in the slice image comprises:
according to the high-energy image in the section imaging, calculating the CT value CT of each pixel point under high energyH(ii) a And calculating the CT value CT of each pixel point under low energy according to the low energy image in the section imagingL；
According to the CT of each pixel pointHAnd CTLAnd calculating to obtain the dual energy index of each pixel point.
3. The method of claim 1, wherein generating a pseudo-color dual energy index map of the slice according to the dual energy index of each pixel in the slice image of the slice comprises:
generating a gray-scale double-energy-index graph corresponding to the section according to the double-energy index of each pixel point in the section imaging of the section;
and carrying out pseudo-color processing on the gray-scale double-energy index graph to obtain a pseudo-color double-energy index graph corresponding to the tangent plane.
4. The method of claim 1, further comprising, after said calculating the dual energy index for each pixel point in the slice image:
aiming at each pixel point in the section imaging of each section, determining a double-energy index reference range according to the double-energy index of the pixel point;
searching a corresponding relation between a double energy index value and a substance according to the double energy index reference range to obtain the substance corresponding to the double energy index value belonging to the double energy index range;
and determining the corresponding substance as the reference substance corresponding to the pixel point.
5. The method of claim 1, wherein outputting the pseudo-color dual energy index map comprises:
acquiring a serial number of a specified tangent plane;
and outputting the pseudo-color dual-energy index graph of the specified tangent plane according to the serial number.
6. A dual energy CT image processing apparatus, characterized in that the apparatus comprises:
the scanning unit is used for carrying out double-energy CT scanning on the detected tissue to obtain a section imaging sequence of the detected tissue, wherein in the section imaging sequence, the section imaging of each section comprises a high-energy image and a low-energy image of the section;
the calculation unit is used for calculating the dual-energy index of each pixel point in the section imaging aiming at the section imaging of each section in the section imaging sequence;
the generating unit is used for generating a pseudo-color dual-energy index graph of the section according to the dual-energy index of each pixel point in the section imaging of the section aiming at each section;
and the output unit is used for outputting the pseudo-color dual-energy index graph.
7. The apparatus of claim 6, wherein the computing unit comprises:
a first calculating subunit, configured to calculate, according to the high-energy image in the section imaging, a CT value CT of each pixel point at high energyH(ii) a And calculating the CT value CT of each pixel point under low energy according to the low energy image in the section imagingL；
A second calculating subunit for calculating the CT of each pixel pointHAnd CTLCalculating to obtain eachThe dual energy index of the pixel.
8. The apparatus of claim 6, wherein the generating unit comprises:
the generating subunit is used for generating a gray-scale double-energy-index graph corresponding to the section according to the double-energy index of each pixel point in the section imaging of the section;
and the processing subunit is used for carrying out pseudo-color processing on the gray-scale dual-energy index graph to obtain a pseudo-color dual-energy index graph corresponding to the tangent plane.
9. The apparatus of claim 6, further comprising:
the range determining unit is used for determining a double-energy-index reference range according to the double-energy index of each pixel point in the section imaging of each section after calculating the double-energy index of each pixel point in the section imaging;
the searching unit is used for searching the corresponding relation between the double energy index value and the substance according to the double energy index reference range to obtain the substance corresponding to the double energy index value belonging to the double energy index range;
and the substance determining unit is used for determining the corresponding substance as the reference substance corresponding to the pixel point.
10. The apparatus of claim 6, wherein the output unit comprises:
the acquisition subunit is used for acquiring the serial number of the specified section;
and the output subunit is used for outputting the pseudo-color dual-energy index graph of the specified tangent plane according to the serial number.
11. An image processing apparatus characterized by comprising: the system comprises an internal bus, a memory and a processor which are connected through the internal bus; wherein,
the memory is used for storing machine readable instructions corresponding to control logic of the dual-energy CT image processing;
the processor is configured to read the machine-readable instructions on the memory and execute the instructions to implement the following operations:
performing double-energy CT scanning on a detected tissue to obtain a section imaging sequence of the detected tissue, wherein in the section imaging sequence, section imaging of each section comprises a high-energy image and a low-energy image of the section;
aiming at the section imaging of each section in the section imaging sequence, calculating the dual-energy index of each pixel point in the section imaging;
aiming at each section, generating a pseudo-color dual-energy index graph of the section according to the dual-energy index of each pixel point in the section imaging of the section;
and outputting the pseudo-color dual-energy index graph.
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