CN112244884A - Bone image acquisition method and device, console equipment and CT system - Google Patents

Bone image acquisition method and device, console equipment and CT system Download PDF

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CN112244884A
CN112244884A CN202011167573.5A CN202011167573A CN112244884A CN 112244884 A CN112244884 A CN 112244884A CN 202011167573 A CN202011167573 A CN 202011167573A CN 112244884 A CN112244884 A CN 112244884A
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CN112244884B (en
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孙佳敏
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Neusoft Medical Systems Co Ltd
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Abstract

The embodiment of the invention provides a bone image acquisition method, a bone image acquisition device, console equipment and a CT (computed tomography) system. According to the embodiment of the invention, for each pixel point in the target bone image, a first pixel value of the pixel point in a reconstructed bone image corresponding to the target bone image, a target Z coordinate corresponding to the target bone image and a target polar diameter where the pixel point is located are obtained, an actual CT value of the pixel point in a phantom is recorded as a second pixel value, a third pixel value of the pixel point in the first reconstructed image and a change gradient of the actual pixel value of the pixel point in the phantom are obtained; determining the number of target average cone angle layers corresponding to the pixel points according to the target polar diameter and the Z coordinates of the pixel points; acquiring the change proportion of pixel values in a reconstructed image corresponding to the pixel points; and determining the target pixel value of the pixel point in the target bone image according to the first pixel value, the second pixel value, the third pixel value, the change gradient and the change proportion, so that cone angle artifacts in the reconstructed bone image can be effectively removed, and the image quality is improved.

Description

Bone image acquisition method and device, console equipment and CT system
Technical Field
The invention relates to the technical field of medical image processing, in particular to a bone image acquisition method, a bone image acquisition device, console equipment and a CT (computed tomography) system.
Background
Currently, CT (Computed Tomography) imaging technology is widely used in the medical field. One such CT imaging technique is known as cone-beam CT.
In cone beam CT, an approximate analytical reconstruction algorithm is used for image reconstruction, which may cause severe artifacts. Also, as the cone angle increases, the artifact becomes more severe, and thus such artifact is referred to as cone angle artifact.
The cone angle artifact causes image quality degradation, which affects the diagnosis of the doctor, and an algorithm needs to be designed to reduce the cone angle artifact to improve the image quality.
Disclosure of Invention
In order to overcome the problems in the related art, the invention provides a bone image acquisition method, a bone image acquisition device, a console device and a CT system, which can reduce cone angle artifacts in images.
According to a first aspect of embodiments of the present invention, there is provided a bone image acquisition method, including:
for each pixel point in a target bone image, acquiring a first pixel value of the pixel point in a reconstructed bone image corresponding to the target bone image; acquiring a target Z coordinate corresponding to the target bone image and a target polar diameter where the pixel point is located; the Z direction is parallel to the central axis of the scanning hole;
acquiring an actual CT value of the pixel point in the phantom, recording the actual CT value as a second pixel value, acquiring a third pixel value of the pixel point in a first reconstructed image, wherein the first reconstructed image is a reconstructed image of the phantom at the target Z coordinate, and acquiring a variation gradient of the actual CT value of the pixel point in the phantom;
determining the number of target average cone angle layers corresponding to the pixel points according to the target polar diameter and the Z coordinates of the pixel points;
acquiring the change proportion of pixel values in the reconstructed image corresponding to the pixel points;
and determining the target pixel value of the pixel point in the target bone image according to the first pixel value, the second pixel value, the third pixel value, the change gradient and the change proportion.
According to a second aspect of the embodiments of the present invention, there is provided a bone image acquisition apparatus including:
the first acquisition module is used for acquiring a first pixel value of each pixel point in a target bone image in a reconstructed bone image corresponding to the target bone image; acquiring a target Z coordinate corresponding to the target bone image and a target polar diameter where the pixel point is located; the Z direction is parallel to the central axis of the scanning hole;
the second acquisition module is used for acquiring an actual CT value of the pixel point in the phantom, recording the actual CT value as a second pixel value, and acquiring a third pixel value of the pixel point in a first reconstructed image, wherein the first reconstructed image is a reconstructed image of the phantom at the target Z coordinate, and acquiring a variation gradient of the actual CT value of the pixel point in the phantom;
the cone angle layer number determining module is used for determining the average cone angle layer number of the target corresponding to the pixel point according to the target polar diameter and the Z coordinate of the pixel point;
the change proportion determining module is used for acquiring the change proportion of the pixel values in the reconstructed image corresponding to the pixel points;
and the pixel value determining module is used for determining a target pixel value of the pixel point in the target bone image according to the first pixel value, the second pixel value, the third pixel value, the change gradient and the change proportion.
According to a third aspect of embodiments of the present invention, there is provided a console device including: the CT system comprises an internal bus, a memory, a processor and an external interface, wherein the memory, the processor and the external interface are connected through the internal bus; wherein:
the memory is used for storing machine readable instructions corresponding to the acquisition logic of the bone image pixel values;
the processor is configured to read the machine-readable instructions on the memory and perform the following operations:
for each pixel point in a target bone image, acquiring a first pixel value of the pixel point in a reconstructed bone image corresponding to the target bone image; acquiring a target Z coordinate corresponding to the target bone image and a target polar diameter where the pixel point is located; the Z direction is parallel to the central axis of the scanning hole;
acquiring an actual CT value of the pixel point in the phantom, recording the actual CT value as a second pixel value, acquiring a third pixel value of the pixel point in a first reconstructed image, wherein the first reconstructed image is a reconstructed image of the phantom at the target Z coordinate, and acquiring a variation gradient of the actual CT value of the pixel point in the phantom;
determining the number of target average cone angle layers corresponding to the pixel points according to the target polar diameter;
determining the change ratio of pixel values in a reconstructed image corresponding to the pixel points according to the number of the target average cone angle layers;
and determining the target pixel value of the pixel point in the target bone image according to the first pixel value, the second pixel value, the third pixel value, the change gradient and the change proportion.
According to a fourth aspect of the embodiments of the present invention, there is provided a CT system including a CT apparatus, a scanning bed, and a console apparatus; wherein:
the CT equipment is used for carrying out cone beam CT scanning on a specified part of a detected person to obtain raw data and transmitting the raw data to the console equipment so that the console equipment can reconstruct according to the raw data to obtain a reconstructed bone image of the specified part;
the console device is configured to:
for each pixel point in a target bone image, acquiring a first pixel value of the pixel point in a reconstructed bone image corresponding to the target bone image; acquiring a target Z coordinate corresponding to the target bone image and a target polar diameter where the pixel point is located; the Z direction is parallel to the central axis of the scanning hole;
acquiring an actual CT value of the pixel point in the phantom, recording the actual CT value as a second pixel value, acquiring a third pixel value of the pixel point in a first reconstructed image, wherein the first reconstructed image is a reconstructed image of the phantom at the target Z coordinate, and acquiring a variation gradient of the actual CT value of the pixel point in the phantom;
determining the number of target average cone angle layers corresponding to the pixel points according to the target polar diameter;
determining the change ratio of pixel values in a reconstructed image corresponding to the pixel points according to the number of the target average cone angle layers;
and determining the target pixel value of the pixel point in the target bone image according to the first pixel value, the second pixel value, the third pixel value, the change gradient and the change proportion.
The technical scheme provided by the embodiment of the invention has the following beneficial effects:
according to the embodiment of the invention, for each pixel point in a target bone image, a first pixel value of the pixel point in a reconstructed bone image corresponding to the target bone image is obtained; acquiring a target Z coordinate corresponding to the target bone image and a target polar diameter where the pixel point is located; acquiring an actual CT value of the pixel point in the phantom, recording the actual CT value as a second pixel value, acquiring a third pixel value of the pixel point in a first reconstructed image, wherein the first reconstructed image is a reconstructed image of the phantom at the target Z coordinate, and acquiring a variation gradient of the actual CT value of the pixel point in the phantom; determining the number of target average cone angle layers corresponding to the pixel points according to the target polar diameter and the Z coordinates of the pixel points; acquiring the change proportion of pixel values in the reconstructed image corresponding to the pixel points; and determining the target pixel value of the pixel point in the target bone image according to the first pixel value, the second pixel value, the third pixel value, the change gradient and the change proportion, so that cone angle artifacts in the reconstructed bone image can be effectively removed, and the image quality is improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the specification.
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The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present specification and together with the description, serve to explain the principles of the specification.
Fig. 1 is a flowchart illustrating a bone image acquiring method according to an embodiment of the present invention.
Fig. 2 is a functional block diagram of a bone image acquiring apparatus according to an embodiment of the present invention.
Fig. 3 is a hardware configuration diagram of a console device according to an embodiment of the present invention.
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 invention. Rather, they are merely examples of apparatus and methods consistent with certain aspects of embodiments of the invention, as detailed in the following claims.
The terminology used in the embodiments of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of embodiments of the invention. As used in the examples of the present invention 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 should be understood that although the terms first, second, third, etc. may be used to describe various information in embodiments of the present invention, the information should not be limited by these terms. These terms are only used to distinguish one type of information from another. For example, the first information may also be referred to as second information, and similarly, the second information may also be referred to as first information, without departing from the scope of embodiments of the present invention. The word "if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination", depending on the context.
The bone image acquisition method will be described in detail below by way of examples.
Fig. 1 is a flowchart illustrating a bone image acquiring method according to an embodiment of the present invention. As shown in fig. 1, in this embodiment, the bone image acquiring method may include:
s101, for each pixel point in a target bone image, acquiring a first pixel value of the pixel point in a reconstructed bone image corresponding to the target bone image; acquiring a target Z coordinate corresponding to the target bone image and a target polar diameter where the pixel point is located; the Z direction is parallel to the central axis of the scanning aperture.
S102, obtaining an actual CT value of the pixel point in the phantom, recording the actual CT value as a second pixel value, obtaining a third pixel value of the pixel point in a first reconstructed image, wherein the first reconstructed image is a reconstructed image of the phantom at the target Z coordinate, and obtaining a variation gradient of the actual CT value of the pixel point in the phantom.
S103, determining the number of target average cone angle layers corresponding to the pixel points according to the target polar diameter and the Z coordinates of the pixel points.
And S104, acquiring the change ratio of the pixel values in the reconstructed image corresponding to the pixel points.
S105, determining a target pixel value of the pixel point in the target bone image according to the first pixel value, the second pixel value, the third pixel value, the change gradient and the change proportion.
Wherein, the scanning hole refers to a scanning hole of the CT device.
In this embodiment, the target bone image is a bone image to be acquired, from which the cone angle artifact is removed.
In this embodiment, the reconstructed bone image is obtained by reconstructing raw data obtained by performing cone beam CT scanning on a predetermined portion of a subject. The reconstructed bone image contains cone angle artifacts.
The die body is a pre-customized object with known actual CT values of all points, and the actual CT values corresponding to all pixel points on the die body do not contain the influence of cone angle artifacts. The first reconstructed image is obtained by placing a phantom at a target Z coordinate, carrying out cone beam CT scanning on the phantom, and then carrying out image reconstruction according to raw data obtained by cone beam CT scanning. The first reconstructed image contains cone angle artifacts.
The polar diameter is the distance between the pixel point and the center of the scanning rotation.
In this embodiment, the polar diameter of the pixel point in the target bone image is recorded as the target polar diameter. The polar diameter of the pixel point in the image can be obtained by calculation according to the coordinate of the pixel point and the coordinate of the scanning rotation center.
For example, if the coordinates of the pixel point are (x, y) and the coordinates of the rotation center are (0, 0), the radius of the pixel point in the image is equal to (x, y)2+y2)0.5。
The change gradient of the actual CT value of the pixel point in the motif can be determined according to the CT value of the motif. For example, suppose that the CT value of the phantom 1 is 1500, the CT value of the phantom 2 is 2000, the phantom 1 and the phantom 2 are scanned respectively to obtain data 1 and data 2, the data 1 is used to obtain the image 1 with the artifact, the data 2 is used to obtain the image 2 with the artifact, and the variation gradient of the actual CT value of the pixel point in the phantom is 2000-.
In the cone beam scanning process, the focal point moves circularly in an xy plane, each circle is sampled for multiple times, and each sampling corresponds to one sampling position. For the same pixel point, the detector layers corresponding to the rays used at different sampling positions are different. The average cone angle layer number refers to an average value of the detector layer numbers of all sampling positions corresponding to one pixel point in one circle of the focal circle.
In application, the detector layer corresponding to rays passing through different coordinate points (x, y, z) of the image under different sampling views (each view corresponds to a sampling position) can be calculated according to parameters such as the sampling number of one scanning circle, the number of layers of the detector, the layer interval of the detector, the rotation radius and the like, and N can be obtained for each pixel pointviewAnd each pixel point is averaged according to the obtained detector layer number to obtain the average cone angle layer number corresponding to each pixel point.
In an exemplary implementation process, obtaining a variation gradient of an actual CT value of the pixel point in the phantom includes:
acquiring a first CT value corresponding to the first motif and a second CT value corresponding to the second motif;
and acquiring a difference value between the first CT value and the second CT value as a variation gradient of an actual CT value of the pixel point in the phantom.
In an exemplary implementation process, determining a variation ratio of a pixel value in a reconstructed image corresponding to the pixel point according to the target average cone angle layer number includes:
and searching the change proportion corresponding to the target average cone angle layer number from the stored corresponding relation between the pixel value change proportion of the reconstructed image and the average cone angle layer number as the change proportion.
The corresponding relation between the pixel value change ratio of the reconstructed image and the average cone angle layer number can be obtained in advance and stored in a system, and the corresponding relation can be directly used in application.
In an exemplary implementation process, determining the number of target average cone angle layers corresponding to the pixel points according to the target pole diameter includes:
and searching the average cone angle layer number corresponding to the target pole diameter from the stored corresponding relation between the pole diameter and the average cone angle layer number to serve as the target average cone angle layer number corresponding to the pixel point.
The correspondence between the pole diameter and the number of layers of the average taper angle may be acquired in advance and stored in the system, and in application, the correspondence may be used directly.
In an exemplary implementation process, determining a target pixel value of the pixel point in the target bone image according to the first pixel value, the second pixel value, the third pixel value, the variation gradient and the variation ratio includes:
obtaining a difference value between the first pixel value and the third pixel value;
determining a target pixel value change gradient corresponding to the pixel point according to the difference value, the change gradient and the change proportion;
and acquiring the sum of the second pixel value and the change gradient of the target pixel value as a target pixel value of the pixel point in the target bone image.
For example.
The target pixel value of the pixel point in the target bone image can be obtained by the following formula (1).
Figure BDA0002746259650000081
In the formula (1), the first and second groups,
Figure BDA0002746259650000082
is the target pixel value of the pixel point in the target bone image;
Figure BDA0002746259650000083
the pixel value of the pixel point in the reconstructed bone image is the first pixel value;
Figure BDA0002746259650000084
the actual CT value of the pixel point in the model body;
Figure BDA0002746259650000085
when the pixel point is positioned at the target Z coordinate, the pixel value of a reconstructed image obtained by cone beam CT scanning reconstruction; theta1The change gradient of the actual CT value of the pixel point in the model body is obtained; theta2The variation gradient of the actual CT value of the pixel point in the model body is theta1And changing the proportion of the pixel values in the corresponding reconstructed image.
According to the bone image acquisition method provided by the embodiment of the invention, for each pixel point in a target bone image, a first pixel value of the pixel point in a reconstructed bone image corresponding to the target bone image is acquired; acquiring a target Z coordinate corresponding to the target bone image and a target polar diameter where the pixel point is located; acquiring an actual CT value of the pixel point in the phantom, recording the actual CT value as a second pixel value, acquiring a third pixel value of the pixel point in a first reconstructed image, wherein the first reconstructed image is a reconstructed image of the phantom at the target Z coordinate, and acquiring a variation gradient of the actual CT value of the pixel point in the phantom; determining the number of target average cone angle layers corresponding to the pixel points according to the target polar diameter and the Z coordinates of the pixel points; acquiring the change proportion of pixel values in the reconstructed image corresponding to the pixel points; and determining the target pixel value of the pixel point in the target bone image according to the first pixel value, the second pixel value, the third pixel value, the change gradient and the change proportion, so that cone angle artifacts in the reconstructed bone image can be effectively removed, and the image quality is improved.
Based on the above method embodiment, the embodiment of the present invention further provides corresponding apparatus, device, and storage medium embodiments.
Fig. 2 is a functional block diagram of a bone image acquiring apparatus according to an embodiment of the present invention. As shown in fig. 2, in the present embodiment, the bone image obtaining apparatus may include:
a first obtaining module 210, configured to obtain, for each pixel point in a target bone image, a first pixel value of the pixel point in a reconstructed bone image corresponding to the target bone image; acquiring a target Z coordinate corresponding to the target bone image and a target polar diameter where the pixel point is located; the Z direction is parallel to the central axis of the scanning hole;
a second obtaining module 220, configured to obtain an actual CT value of the pixel point in the phantom, record the actual CT value as a second pixel value, and obtain a third pixel value of the pixel point in a first reconstructed image, where the first reconstructed image is a reconstructed image of the phantom at the target Z coordinate, and obtain a change gradient of the actual CT value of the pixel point in the phantom;
the cone angle layer number determining module 230 is configured to determine, according to the target polar diameter and the Z coordinate of the pixel point, a target average cone angle layer number corresponding to the pixel point;
a change ratio determining module 240, configured to obtain a change ratio of pixel values in the reconstructed image corresponding to the pixel points;
a pixel value determining module 250, configured to determine a target pixel value of the pixel point in the target bone image according to the first pixel value, the second pixel value, the third pixel value, the change gradient, and the change ratio.
In an exemplary implementation process, the second obtaining module 220 is specifically configured to:
acquiring a first CT value corresponding to the first motif and a second CT value corresponding to the second motif;
and acquiring a difference value between the first CT value and the second CT value as a variation gradient of an actual CT value of the pixel point in the phantom.
In an exemplary implementation process, the change ratio determining module 240 is specifically configured to:
and searching the change proportion corresponding to the target average cone angle layer number from the stored corresponding relation between the pixel value change proportion of the reconstructed image and the average cone angle layer number as the change proportion.
In an exemplary implementation, the cone angle layer number determination module 230 may be specifically configured to:
and searching the average cone angle layer number corresponding to the target pole diameter from the stored corresponding relation between the pole diameter and the average cone angle layer number to serve as the target average cone angle layer number corresponding to the pixel point.
In an exemplary implementation, the pixel value determining module 250 may be specifically configured to:
obtaining a difference value between the first pixel value and the third pixel value;
determining a target pixel value change gradient corresponding to the pixel point according to the difference value, the change gradient and the change proportion;
and acquiring the sum of the second pixel value and the change gradient of the target pixel value as a target pixel value of the pixel point in the target bone image.
The embodiment of the invention also provides the console equipment. Fig. 3 is a hardware configuration diagram of a console device according to an embodiment of the present invention. As shown in fig. 3, the console device includes: an internal bus 301, a memory 302 connected through the internal bus, a processor 303 and an external interface 304, wherein the external interface is connected with CT equipment in the CT system; wherein:
the memory 302 is configured to store machine readable instructions corresponding to bone image acquisition logic;
the processor 303 is configured to read the machine-readable instructions in the memory 302 and execute the instructions to implement the following operations:
for each pixel point in a target bone image, acquiring a first pixel value of the pixel point in a reconstructed bone image corresponding to the target bone image; acquiring a target Z coordinate corresponding to the target bone image and a target polar diameter where the pixel point is located; the Z direction is parallel to the central axis of the scanning hole;
acquiring an actual CT value of the pixel point in the phantom, recording the actual CT value as a second pixel value, acquiring a third pixel value of the pixel point in a first reconstructed image, wherein the first reconstructed image is a reconstructed image of the phantom at the target Z coordinate, and acquiring a variation gradient of the actual CT value of the pixel point in the phantom;
determining the number of target average cone angle layers corresponding to the pixel points according to the target polar diameter and the Z coordinates of the pixel points;
acquiring the change proportion of pixel values in the reconstructed image corresponding to the pixel points;
and determining the target pixel value of the pixel point in the target bone image according to the first pixel value, the second pixel value, the third pixel value, the change gradient and the change proportion.
In an exemplary implementation process, obtaining a variation gradient of an actual CT value of the pixel point in the phantom includes:
acquiring a first CT value corresponding to the first motif and a second CT value corresponding to the second motif;
and acquiring a difference value between the first CT value and the second CT value as a variation gradient of an actual CT value of the pixel point in the phantom.
In an exemplary implementation process, determining a variation ratio of a pixel value in a reconstructed image corresponding to the pixel point according to the target average cone angle layer number includes:
and searching the change proportion corresponding to the target average cone angle layer number from the stored corresponding relation between the pixel value change proportion of the reconstructed image and the average cone angle layer number as the change proportion.
In an exemplary implementation process, determining the number of target average cone angle layers corresponding to the pixel points according to the target pole diameter includes:
and searching the average cone angle layer number corresponding to the target pole diameter from the stored corresponding relation between the pole diameter and the average cone angle layer number to serve as the target average cone angle layer number corresponding to the pixel point.
In an exemplary implementation process, determining a target pixel value of the pixel point in the target bone image according to the first pixel value, the second pixel value, the third pixel value, the variation gradient and the variation ratio includes:
obtaining a difference value between the first pixel value and the third pixel value;
determining a target pixel value change gradient corresponding to the pixel point according to the difference value, the change gradient and the change proportion;
and acquiring the sum of the second pixel value and the change gradient of the target pixel value as a target pixel value of the pixel point in the target bone image.
The embodiment of the invention also provides a CT system, which comprises CT equipment, a scanning bed and console equipment; wherein:
the CT equipment is used for carrying out cone beam CT scanning on a specified part of a detected person to obtain raw data and transmitting the raw data to the console equipment so that the console equipment can reconstruct according to the raw data to obtain a reconstructed bone image of the specified part;
the console device is configured to:
for each pixel point in a target bone image, acquiring a first pixel value of the pixel point in a reconstructed bone image corresponding to the target bone image; acquiring a target Z coordinate corresponding to the target bone image and a target polar diameter where the pixel point is located; the Z direction is parallel to the central axis of the scanning hole;
acquiring an actual CT value of the pixel point in the phantom, recording the actual CT value as a second pixel value, acquiring a third pixel value of the pixel point in a first reconstructed image, wherein the first reconstructed image is a reconstructed image of the phantom at the target Z coordinate, and acquiring a variation gradient of the actual CT value of the pixel point in the phantom;
determining the number of target average cone angle layers corresponding to the pixel points according to the target polar diameter and the Z coordinates of the pixel points;
acquiring the change proportion of pixel values in the reconstructed image corresponding to the pixel points;
and determining the target pixel value of the pixel point in the target bone image according to the first pixel value, the second pixel value, the third pixel value, the change gradient and the change proportion.
In an exemplary implementation process, obtaining a variation gradient of an actual CT value of the pixel point in the phantom includes:
acquiring a first CT value corresponding to the first motif and a second CT value corresponding to the second motif;
and acquiring a difference value between the first CT value and the second CT value as a variation gradient of an actual CT value of the pixel point in the phantom.
In an exemplary implementation process, determining a variation ratio of a pixel value in a reconstructed image corresponding to the pixel point according to the target average cone angle layer number includes:
and searching the change proportion corresponding to the target average cone angle layer number from the stored corresponding relation between the pixel value change proportion of the reconstructed image and the average cone angle layer number as the change proportion.
In an exemplary implementation process, determining the number of target average cone angle layers corresponding to the pixel points according to the target pole diameter includes:
and searching the average cone angle layer number corresponding to the target pole diameter from the stored corresponding relation between the pole diameter and the average cone angle layer number to serve as the target average cone angle layer number corresponding to the pixel point.
In an exemplary implementation process, determining a target pixel value of the pixel point in the target bone image according to the first pixel value, the second pixel value, the third pixel value, the variation gradient and the variation ratio includes:
obtaining a difference value between the first pixel value and the third pixel value;
determining a target pixel value change gradient corresponding to the pixel point according to the difference value, the change gradient and the change proportion;
and acquiring the sum of the second pixel value and the change gradient of the target pixel value as a target pixel value of the pixel point in the target bone image.
An embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the program, when executed by a processor, implements the following operations:
for each pixel point in a target bone image, acquiring a first pixel value of the pixel point in a reconstructed bone image corresponding to the target bone image; acquiring a target Z coordinate corresponding to the target bone image and a target polar diameter where the pixel point is located; the Z direction is parallel to the central axis of the scanning hole;
acquiring an actual CT value of the pixel point in the phantom, recording the actual CT value as a second pixel value, acquiring a third pixel value of the pixel point in a first reconstructed image, wherein the first reconstructed image is a reconstructed image of the phantom at the target Z coordinate, and acquiring a variation gradient of the actual CT value of the pixel point in the phantom;
determining the number of target average cone angle layers corresponding to the pixel points according to the target polar diameter and the Z coordinates of the pixel points;
acquiring the change proportion of pixel values in the reconstructed image corresponding to the pixel points;
and determining the target pixel value of the pixel point in the target bone image according to the first pixel value, the second pixel value, the third pixel value, the change gradient and the change proportion.
In an exemplary implementation process, obtaining a variation gradient of an actual CT value of the pixel point in the phantom includes:
acquiring a first CT value corresponding to the first motif and a second CT value corresponding to the second motif;
and acquiring a difference value between the first CT value and the second CT value as a variation gradient of an actual CT value of the pixel point in the phantom.
In an exemplary implementation process, determining a variation ratio of a pixel value in a reconstructed image corresponding to the pixel point according to the target average cone angle layer number includes:
and searching the change proportion corresponding to the target average cone angle layer number from the stored corresponding relation between the pixel value change proportion of the reconstructed image and the average cone angle layer number as the change proportion.
In an exemplary implementation process, determining the number of target average cone angle layers corresponding to the pixel points according to the target pole diameter includes:
and searching the average cone angle layer number corresponding to the target pole diameter from the stored corresponding relation between the pole diameter and the average cone angle layer number to serve as the target average cone angle layer number corresponding to the pixel point.
In an exemplary implementation process, determining a target pixel value of the pixel point in the target bone image according to the first pixel value, the second pixel value, the third pixel value, the variation gradient and the variation ratio includes:
obtaining a difference value between the first pixel value and the third pixel value;
determining a target pixel value change gradient corresponding to the pixel point according to the difference value, the change gradient and the change proportion;
and acquiring the sum of the second pixel value and the change gradient of the target pixel value as a target pixel value of the pixel point in the target bone image.
For the device and apparatus embodiments, as they correspond substantially 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, wherein the modules described as separate parts may or may not be physically separate, and the parts displayed as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution in the specification. One of ordinary skill in the art can understand and implement it without inventive effort.
The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
Other embodiments of the present description will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This specification is intended to cover any variations, uses, or adaptations of the specification following, in general, the principles of the specification and including such departures from the present disclosure as come within known or customary practice within the art to which the specification pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the specification being indicated by the following claims.
It will be understood that the present description is not limited to the precise arrangements described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present description is limited only by the appended claims.
The above description is only a preferred embodiment of the present disclosure, and should not be taken as limiting the present disclosure, and any modifications, equivalents, improvements, etc. made within the spirit and principle of the present disclosure should be included in the scope of the present disclosure.

Claims (10)

1. A bone image acquisition method, comprising:
for each pixel point in a target bone image, acquiring a first pixel value of the pixel point in a reconstructed bone image corresponding to the target bone image; acquiring a target Z coordinate corresponding to the target bone image and a target polar diameter where the pixel point is located; the Z direction is parallel to the central axis of the scanning hole;
acquiring an actual CT value of the pixel point in the phantom, recording the actual CT value as a second pixel value, acquiring a third pixel value of the pixel point in a first reconstructed image, wherein the first reconstructed image is a reconstructed image of the phantom at the target Z coordinate, and acquiring a variation gradient of the actual CT value of the pixel point in the phantom;
determining the number of target average cone angle layers corresponding to the pixel points according to the target polar diameter and the Z coordinates of the pixel points;
acquiring the change proportion of pixel values in the reconstructed image corresponding to the pixel points;
and determining the target pixel value of the pixel point in the target bone image according to the first pixel value, the second pixel value, the third pixel value, the change gradient and the change proportion.
2. The method of claim 1, wherein obtaining the gradient of the actual CT value of the pixel in the phantom comprises:
acquiring a first CT value corresponding to the first motif and a second CT value corresponding to the second motif;
and acquiring a difference value between the first CT value and the second CT value as a variation gradient of an actual CT value of the pixel point in the phantom.
3. The method of claim 1, wherein determining a proportion of a change in a pixel value in the reconstructed image corresponding to the pixel point according to the target average cone angle layer number comprises:
and searching the change proportion corresponding to the target average cone angle layer number from the stored corresponding relation between the pixel value change proportion of the reconstructed image and the average cone angle layer number as the change proportion.
4. The method of claim 1, wherein determining the number of target average cone angle layers corresponding to the pixel points according to the target pole diameter comprises:
and searching the average cone angle layer number corresponding to the target polar diameter from the stored corresponding relation between the polar diameter and the z-direction coordinate and the average cone angle layer number, and taking the average cone angle layer number corresponding to the target polar diameter as the target average cone angle layer number corresponding to the pixel point.
5. The method of claim 1, wherein determining the target pixel value of the pixel point in the target bone image according to the first pixel value, the second pixel value, the third pixel value, the gradient of change, and the change ratio comprises:
obtaining a difference value between the first pixel value and the third pixel value;
determining a target pixel value change gradient corresponding to the pixel point according to the difference value, the change gradient and the change proportion;
and acquiring the sum of the second pixel value and the change gradient of the target pixel value as a target pixel value of the pixel point in the target bone image.
6. A bone image acquisition apparatus, comprising:
the first acquisition module is used for acquiring a first pixel value of each pixel point in a target bone image in a reconstructed bone image corresponding to the target bone image; acquiring a target Z coordinate corresponding to the target bone image and a target polar diameter where the pixel point is located; the Z direction is parallel to the central axis of the scanning hole;
the second acquisition module is used for acquiring an actual CT value of the pixel point in the phantom, recording the actual CT value as a second pixel value, and acquiring a third pixel value of the pixel point in a first reconstructed image, wherein the first reconstructed image is a reconstructed image of the phantom at the target Z coordinate, and acquiring a variation gradient of the actual CT value of the pixel point in the phantom;
the cone angle layer number determining module is used for determining the target average cone angle layer number corresponding to the pixel point according to the target polar diameter;
the change proportion determining module is used for determining the change proportion of pixel values in the reconstructed image corresponding to the pixel points according to the target average cone angle layer number;
and the pixel value determining module is used for determining a target pixel value of the pixel point in the target bone image according to the first pixel value, the second pixel value, the third pixel value, the change gradient and the change proportion.
7. The apparatus of claim 6, wherein the second obtaining module is specifically configured to:
acquiring a first CT value corresponding to the first motif and a second CT value corresponding to the second motif;
and acquiring a difference value between the first CT value and the second CT value as a variation gradient of an actual CT value of the pixel point in the phantom.
8. The apparatus of claim 6, wherein the change ratio determining module is specifically configured to:
and searching the change proportion corresponding to the target average cone angle layer number from the stored corresponding relation between the pixel value change proportion of the reconstructed image and the average cone angle layer number as the change proportion.
9. A console device, comprising: the CT system comprises an internal bus, a memory, a processor and an external interface, wherein the memory, the processor and the external interface are connected through the internal bus; wherein:
the memory is used for storing machine readable instructions corresponding to the acquisition logic of the bone image pixel values;
the processor is configured to read the machine-readable instructions on the memory and perform the following operations:
for each pixel point in a target bone image, acquiring a first pixel value of the pixel point in a reconstructed bone image corresponding to the target bone image; acquiring a target Z coordinate corresponding to the target bone image and a target polar diameter where the pixel point is located; the Z direction is parallel to the central axis of the scanning hole;
acquiring an actual CT value of the pixel point in the phantom, recording the actual CT value as a second pixel value, acquiring a third pixel value of the pixel point in a first reconstructed image, wherein the first reconstructed image is a reconstructed image of the phantom at the target Z coordinate, and acquiring a variation gradient of the actual CT value of the pixel point in the phantom;
determining the number of target average cone angle layers corresponding to the pixel points according to the target polar diameter;
determining the change ratio of pixel values in a reconstructed image corresponding to the pixel points according to the number of the target average cone angle layers;
and determining the target pixel value of the pixel point in the target bone image according to the first pixel value, the second pixel value, the third pixel value, the change gradient and the change proportion.
10. A CT system is characterized by comprising a CT device, a scanning bed and a console device; wherein:
the CT equipment is used for carrying out cone beam CT scanning on a specified part of a detected person to obtain raw data and transmitting the raw data to the console equipment so that the console equipment can reconstruct according to the raw data to obtain a reconstructed bone image of the specified part;
the console device is configured to:
for each pixel point in a target bone image, acquiring a first pixel value of the pixel point in a reconstructed bone image corresponding to the target bone image; acquiring a target Z coordinate corresponding to the target bone image and a target polar diameter where the pixel point is located; the Z direction is parallel to the central axis of the scanning hole;
acquiring an actual CT value of the pixel point in the phantom, recording the actual CT value as a second pixel value, acquiring a third pixel value of the pixel point in a first reconstructed image, wherein the first reconstructed image is a reconstructed image of the phantom at the target Z coordinate, and acquiring a variation gradient of the actual CT value of the pixel point in the phantom;
determining the number of target average cone angle layers corresponding to the pixel points according to the target polar diameter;
determining the change ratio of pixel values in a reconstructed image corresponding to the pixel points according to the number of the target average cone angle layers;
and determining the target pixel value of the pixel point in the target bone image according to the first pixel value, the second pixel value, the third pixel value, the change gradient and the change proportion.
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