CN110811665A - PET image attenuation correction method, apparatus, computer device and storage medium - Google Patents
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Abstract
The application relates to a PET image attenuation correction method, a PET image attenuation correction device, a computer device and a storage medium. The method comprises the following steps: acquiring a CT image of a PET scanning area, and determining an axial image view range containing image artifacts in the CT image; correcting the image in the axial image visual field range to obtain a CT corrected image in the axial image visual field range; obtaining a CT correction image of the PET scanning region according to the CT image of the PET scanning region and the CT correction image in the axial image view range; and acquiring PET scanning data of the PET scanning region, and performing attenuation correction on the PET scanning data according to the CT correction image of the PET scanning region. And synthesizing the corrected CT corrected image with the CT image of the original PET scanning area to obtain the CT corrected image of the PET scanning area, thereby eliminating the quality problem of the CT image at partial axial positions. And then the attenuation correction is carried out on the PET data by utilizing the CT correction image in the PET scanning area, so that the artifact in the PET image can be eliminated, and the quality of the PET image can be improved.
Description
Technical Field
The present application relates to the field of medical device image processing technology, and in particular, to a PET image attenuation correction method, apparatus, computer device, and storage medium.
Background
Positron Emission Tomography (PET) is an advanced clinical examination imaging technique in the field of nuclear medicine. Substances necessary for the metabolism of living organisms, such as: glucose, protein, nucleic acid, fatty acid, short-lived radionuclides (such as F18, carbon 11, etc.) labeled with these substances are injected into the human body, and the aggregation of these substances in the metabolism reflects the metabolic activity of the life, so that the purpose of diagnosis is achieved.
Computed Tomography (CT) uses a precisely collimated X-ray beam, gamma rays, etc. to scan sections of a human body one after another around a certain part of the human body together with a detector with extremely high sensitivity, has the characteristics of fast scanning time, clear images, etc., and can be used for the examination of various diseases.
PET-CT perfectly integrates PET and CT, PET provides detailed function and metabolism of focus, CT is used for providing image calibration information for PET and providing accurate anatomical positioning of focus, tomographic images of all directions of the whole body can be obtained through once imaging, and the PET-CT system has the characteristics of sensitivity, accuracy, specificity, accurate positioning and the like, can clearly understand the whole condition of the whole body, and achieves the purposes of early focus finding and disease diagnosis.
At present, in a long axial PET-CT system, because the axial scanning range of CT is very long, there are problems in that CT images at partial axial positions are easy to occur, for example: artifacts, unreasonable scan and reconstruction parameters, mismatch with PET due to patient motion, etc. When a problem exists in the CT image, the CT image is applied to PET attenuation correction, so that artifacts and image quality problems occur in the PET image.
Disclosure of Invention
In view of the above, it is desirable to provide a PET image attenuation correction method, apparatus, computer device, and storage medium that can obtain a high-quality PET image in response to the above-described technical problems.
A PET image attenuation correction method, the method comprising: acquiring a CT image of a PET scanning region, and determining an axial image field of view range containing image artifacts in the CT image; correcting the image in the axial image visual field range to obtain a CT corrected image in the axial image visual field range; obtaining a CT correction image of the PET scanning region according to the CT image of the PET scanning region and the CT correction image in the axial image view range; and acquiring PET scanning data of a PET scanning region, and performing attenuation correction on the PET scanning data according to the CT correction image of the PET scanning region.
In one embodiment, the determining the axial image field of view in the CT image that includes the image artifact further comprises: according to the CT image of the PET scanning area, acquiring a CT image of which the image quality does not meet the preset requirement in the CT image of the PET scanning area; and determining the image artifact type of the CT image according to the CT image with the image quality not meeting the preset requirement.
In one embodiment, the correcting the image in the axial image view range to obtain a CT corrected image in the axial image view range includes: determining a correction type according to the image artifact type; and correcting the image in the axial image visual field range according to the correction type to obtain a CT correction image in the axial image visual field range.
In one embodiment, the correcting the image in the axial image view range to obtain a CT corrected image in the axial image view range includes: if the image artifact type is an artifact formed by improper setting of scanning parameters, adjusting the scanning parameters to re-scan the axial image view range to obtain CT scanning data; and reconstructing the CT scanning data to obtain a CT correction image in the axial image view field range.
In one embodiment, the correcting the image in the axial image view range to obtain a CT corrected image in the axial image view range includes: if the image artifact type is a foreign object artifact, acquiring original data in the axial image view range; adjusting reconstruction parameters of off-line reconstruction into foreign matter artifact removal correction; and performing off-line reconstruction on the original data and performing artifact correction to obtain a CT corrected image in the axial image view range.
In one embodiment, the correcting the image in the axial image view range to obtain a CT corrected image in the axial image view range includes: if the image artifact type is a motion artifact, acquiring an original image in the axial image view range; and carrying out post-processing motion correction on the original image to obtain a CT corrected image in the axial image view range.
In one embodiment, the obtaining the CT correction image of the PET scanning region according to the CT image of the PET scanning region and the CT correction image in the axial image view range includes: carrying out interpolation operation on the CT corrected image in the axial image visual field range according to the CT image parameters to obtain the CT corrected image in the axial image visual field range, wherein the dimension and the layer position of the CT corrected image are consistent with those of the CT image; and replacing the image in the image visual field range in the CT image by the CT correction image in the axial image visual field range with the CT image dimension and the layer position consistent to obtain the CT correction image of the PET scanning region.
A PET image attenuation correction apparatus, said apparatus comprising: the visual field range determining module is used for acquiring a CT image of a PET scanning area; determining an axial image field of view range in the CT image that includes image artifacts; the first correction module is used for correcting the image in the axial image visual field range to obtain a CT correction image in the axial image visual field range; the synthesis module is used for obtaining a CT correction image of the PET scanning region according to the CT image of the PET scanning region and the CT correction image in the axial image view range; and the second correction module is used for acquiring PET scanning data of a PET scanning area and performing attenuation correction on the PET scanning data according to the CT correction image of the PET scanning area.
A computer device comprising a memory storing a computer program and a processor implementing the steps of any of the methods described above when the computer program is executed.
A computer-readable storage medium, having stored thereon a computer program which, when being executed by a processor, carries out the steps of the method of any of the above.
The method, the device, the computer equipment and the storage medium for PET image attenuation correction firstly acquire a CT image of a PET scanning area, determine an axial image visual field range containing image artifacts in the CT image, then correct the image in the axial image visual field range to acquire a CT corrected image in the axial image visual field range, acquire the CT corrected image of the PET scanning area according to the CT image and the CT corrected image in the axial image visual field range, finally acquire PET scanning data of the PET scanning area, and perform attenuation correction on the PET scanning data according to the corrected image of the PET scanning area. Acquiring an image visual field range containing image artifacts from a CT image of a PET scanning region, correcting the image in the visual field range, and synthesizing the corrected CT corrected image with the CT image of the original PET scanning region to obtain a CT corrected image of the PET scanning region, thereby eliminating the quality problem of the CT image at partial axial positions. And then the attenuation correction is carried out on the PET data by utilizing the CT correction image in the PET scanning area, so that the artifact in the PET image can be eliminated, and the quality of the PET image can be improved.
Drawings
FIG. 1 is a schematic flow chart of a PET image attenuation correction method according to an embodiment;
FIG. 2 is a block diagram showing the structure of a PET image attenuation correction apparatus according to an embodiment;
FIG. 3 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, embodiments accompanying the present application are described in detail below with reference to the accompanying drawings. In the following description, numerous specific details are set forth to provide a thorough understanding of the present application, and in the accompanying drawings, preferred embodiments of the present application are set forth. This application may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete. This application is capable of embodiments in many different forms than those described herein and those skilled in the art will be able to make similar modifications without departing from the spirit of the application and it is therefore not intended to be limited to the specific embodiments disclosed below.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present application, "plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise. In the description of the present application, "a number" means at least one, such as one, two, etc., unless specifically limited otherwise.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. 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 herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
Positron Emission Tomography (PET) is a relatively advanced clinical examination imaging technique in the field of nuclear medicine. The principle is to take certain substances, which are generally necessary in the metabolism of biological life, such as: glucose, protein, nucleic acid, fatty acid, short-lived radionuclides (such as 18F, 11C) marked on the surface of the body, and after being injected into the human body, the radionuclides release positrons in the decay process, and a positron encounters an electron after traveling several tenths of millimeters to several millimeters and is annihilated, so that two gamma photons with equal energy and opposite directions are generated. Because the paths of two gamma photons in the body are different, the time for reaching the two PET detectors is also different, if a probe system positioned on a response line detects two photons which are 180 degrees away from each other in a specified time window, a coincidence event is formed, the processing device records the response data, and the recorded response data is processed by an image reconstruction technology to obtain a required PET image.
A Computed Tomography (CT) apparatus typically includes a gantry, a couch, and a console for operation by a physician. One side of the frame is provided with a bulb tube, and the side opposite to the bulb tube is provided with a detector. The console is a computer device for controlling the bulb tube and the detector to scan, and the computer device is also used for receiving data collected by the detector, processing and reconstructing the data and finally forming a CT image. When CT is used for scanning, a patient lies on a scanning bed, the scanning bed sends the patient into the aperture of a stand, a bulb tube arranged on the stand emits X rays, the X rays penetrate through the patient and are received by a detector to form data, the data are transmitted to computer equipment, and the computer equipment carries out primary processing and image reconstruction on the data to obtain a CT image.
In a PET-CT system, PET is influenced by attenuation factors such as Compton effect, scattering, accidental coincidence events, dead time and the like in the imaging process, and acquired data are inconsistent with actual conditions, so that the quality of PET images is distorted, and effective measures are required to be adopted for correction to obtain more real medical images. The attenuation correction of PET data by utilizing CT images obtained by scanning of a PET-CT system can greatly improve the definition of the PET images.
In one embodiment, as shown in fig. 1, there is provided a PET image attenuation correction method, including the steps of:
step 102, acquiring a CT image of a PET scanning region, and determining an axial image view field range containing image artifacts in the CT image.
Specifically, the PET-CT apparatus scans an object to be scanned, and can obtain PET data and CT data at the same time. At present, most of PET-CT devices have a relatively small axial range, taking an object to be scanned as a human body as an example, the axial direction is the direction from the head to the feet of the human body, that is, the current PET-CT devices carry out short-distance scanning in the axial direction, and if an image has a problem, the whole range can be directly rescanned. The embodiment is directed to a PET-CT apparatus capable of long-axis scanning, and the long-axis PET-CT apparatus can perform long-distance scanning on an object to be scanned in the axial direction. And reconstructing according to the CT data obtained by scanning to obtain a CT image. The CT image may be a CT image stored in a storage device after being scanned by the PET-CT device, or a CT image obtained by real-time scanning by the PET-CT device, which is not limited in this embodiment. Since attenuation correction of PET scan data is required using CT images, the selected CT image should be a CT image of the PET scan region. After the CT image of the PET scanning area is obtained, according to the CT image of the PET scanning area, the CT image of which the image quality does not meet the preset requirement in the CT image of the PET scanning area is obtained, namely the CT image of which the image artifact is contained in the CT image of the PET scanning area is obtained. More specifically, the acquired CT image with the image quality not meeting the preset requirement may be acquired through a depth learning model, or may also be acquired through template recognition, or may also be acquired through review of the CT image of the PET scanning region by a physician. Wherein the image artifacts may include: artifacts, foreign body artifacts, motion artifacts, and the like, which are not properly formed by the scan parameter settings. And then according to the CT image with the image quality not meeting the preset requirement, determining the image artifact type of the CT image, and according to the CT image containing the image artifact, determining the visual field range of the image in the scanning axial direction of the PET-CT equipment, namely the axial image visual field range.
And 104, correcting the image in the axial image visual field range to obtain a CT corrected image in the axial image visual field range.
Specifically, the correction type is determined according to the image artifact type of the image in the axial image view range. Wherein the image artifacts may include: artifacts, foreign body artifacts, motion artifacts, and the like, which are not properly formed by the scan parameter settings. The correction types include: rescan reconstruction, foreign artifact correction reconstruction, and motion artifact correction reconstruction. More specifically, the artifact caused by improper setting of the scanning parameters can be corrected by a correction mode of rescanning reconstruction; for the foreign body artifact, the foreign body artifact can be corrected by a correction mode of foreign body artifact removal correction reconstruction, and can also be corrected by a correction mode of rescanning reconstruction; the motion artifact can be corrected by a correction mode of de-motion artifact correction reconstruction and can also be corrected by a correction mode of rescan reconstruction. Only the CT image with the image quality problem needs to be corrected, and the correction method is not specifically limited in this embodiment. After determining the correction type of each image artifact, correcting the image in the axial image visual field according to the correction type to obtain a CT corrected image in the axial image visual field. The image in the axial image view range is the CT image in the axial image view range with image artifacts, which is acquired in the CT image of the PET scanning region.
In one embodiment, if the image artifact type is an artifact formed by improper setting of scanning parameters, the scanning parameters are adjusted to rescan the axial image view field to obtain CT scanning data; and reconstructing the CT scanning data to obtain a CT correction image in the axial image view field range. The artifact caused by improper setting of the scanning parameters is the artifact caused by improper placement of the object to be scanned on the scanning bed. For example, when a human hand holds the head, the elbow and the skull overlap in the X-ray irradiation direction during scanning, which leads to a large X-ray attenuation coefficient at the corresponding position and causes image artifacts; or the position of the human body on the scanning bed is not aligned with the scanning center, or the position of the human body part is not placed to the correct scanning position, and the image artifact is caused by the damage of the scanning visual field. For the artifacts formed by improper setting of the scanning parameters, the scanning parameters need to be adjusted to rescan the image visual field range with the artifacts. Preferably, the X-ray paying-off energy is adjusted by adjusting the tube voltage or the tube current; more specifically, the X-ray radiation energy is adjusted by adjusting the ma sec of the X-ray. And reconstructing CT scanning data obtained by re-scanning to obtain a CT correction image in the axial image view range.
In one embodiment, if the image artifact type is a foreign object artifact, acquiring original data in an axial image view range; adjusting reconstruction parameters of off-line reconstruction into foreign matter artifact removal correction; and performing off-line reconstruction on the original data and performing artifact correction to obtain a CT corrected image in the axial image view range. The foreign matter artifact is an artifact caused by high-density articles carried by an object to be scanned. Because the object to be scanned carries high-density artifacts, the attenuation coefficient of X-rays at corresponding positions is large, and image artifacts are caused. The high-density article includes: when the object to be scanned is a human body, the metal false tooth, the jewelry, the metal belt and the metal button are arranged on the lower jaw of the human body. The high-density objects cause metal artifacts to the CT images. And acquiring CT original data in an image visual field range with image artifacts for the artifacts formed by the high-density articles, resetting reconstruction parameters of off-line reconstruction, adjusting the reconstruction parameters to remove foreign matter artifacts for correction, performing off-line reconstruction after parameter adjustment on the CT original data in the image visual field range, and performing artifact correction to finally obtain a CT corrected image in an axial image visual field range. For the CT image with the image artifact type being the foreign matter artifact, the CT correction image in the axial image visual field range can be obtained by rescanning the image visual field range with the artifact after removing the corresponding high-density articles. When the object to be scanned is a human body, the patient takes off the object made of metal material on the body, and then the image visual field range with the artifact is rescanned to obtain a CT correction image in the axial image visual field range.
In one embodiment, if the image artifact type is a motion artifact, acquiring an original image in the field of view of the axial image; and carrying out post-processing motion correction on the original image to obtain a CT corrected image in the axial image view range. The motion artifact is an artifact caused by the motion of an object to be scanned during scanning. For example, the artifact is caused by the movement of a part of the human body during the scanning process when the object to be scanned is a human body, or the artifact is caused by the fluctuation of the respiratory thorax of the human body during the scanning process. For the artifact caused by the motion of the object to be scanned, firstly, a CT original image in an image visual field range with the image artifact is obtained, and the CT corrected image in an axial image visual field range is obtained by performing post-processing motion correction on the original image. For the CT image with the image artifact type being the motion artifact, the patient can be informed to avoid the motion of the patient, after the patient breathes to hold the breath, the image visual field range with the artifact is rescanned, and the CT correction image in the axial image visual field range is obtained.
And 106, obtaining a CT correction image of the PET scanning region according to the CT image of the PET scanning region and the CT correction image in the axial image view range.
Specifically, the CT corrected image in the axial image visual field range is subjected to interpolation operation according to the CT image parameters, and the CT corrected image in the axial image visual field range, which is consistent with the CT image dimension and the layer position, is obtained. And replacing the image in the image visual field range in the CT image by the CT corrected image in the axial image visual field range with consistent CT image dimension and layer position to obtain the CT corrected image of the PET scanning region. Wherein the CT image parameters include dimensions and layer positions. And performing interpolation operation on the CT corrected image in the axial image visual field range to enable the image parameters of the CT corrected image in the axial image visual field range to be consistent with the image parameters of the CT image in the axial image visual field range containing the image artifact. And deleting the CT image in the axial image visual field range containing the image artifact from the CT image in the PET scanning area, and synthesizing the CT corrected image in the axial image visual field range and the deleted CT image in the PET scanning area to obtain the CT corrected image in the PET scanning area. The CT corrected image of the PET scan region eliminates the quality problems of partial axial position CT images. Can be better applied to the attenuation correction of PET scanning data.
And 108, acquiring PET scanning data of a PET scanning area, and performing attenuation correction on the PET scanning data according to the CT correction image of the PET scanning area.
Specifically, attenuation correction of PET scan data by a CT correction image of a PET scan region can eliminate artifacts in the PET image and can also improve the quality of the PET image.
In this embodiment, based on the scanned long axial CT image, the CT image that affects the PET attenuation correction in the long axial CT image is identified, the user is guided to rescan, reconstruct, and post-process modify the image of the problematic axial field of view, and the newly generated CT image is merged into the long axial CT image, and is then used for the PET attenuation correction, so that the re-execution of the entire long axial CT scan can be avoided, the user dose can be reduced, and the life of the CT bulb can be prolonged.
The PET image attenuation correction method comprises the steps of firstly obtaining a CT image of a PET scanning area, determining an axial image visual field range containing image artifacts in the CT image, then correcting the image in the axial image visual field range to obtain a CT correction image in the axial image visual field range, obtaining the CT correction image of the PET scanning area according to the CT image and the CT correction image in the axial image visual field range, finally obtaining PET scanning data of the PET scanning area, and carrying out attenuation correction on the PET scanning data according to the correction image of the PET scanning area. Acquiring an image visual field range containing image artifacts from a CT image of a PET scanning region, correcting the image in the visual field range, and synthesizing the corrected CT corrected image with the CT image of the original PET scanning region to obtain a CT corrected image of the PET scanning region, thereby eliminating the quality problem of the CT image at partial axial positions. And attenuation correction is carried out by using CT correction image PET data of the PET scanning region, so that artifacts in the PET image can be eliminated, and the quality of the PET image can be improved.
It should be understood that, although the steps in the flowchart of fig. 1 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in fig. 1 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
In one embodiment, as shown in fig. 2, there is provided a PET image attenuation correction apparatus including: a field of view determination module 100, a first correction module 200, a synthesis module 300, and a second correction module 400, wherein:
a field of view range determination module 100 for acquiring a CT image of a PET scan region; determining an axial image field of view range in the CT image that includes image artifacts;
the first correction module 200 is configured to correct an image in the axial image view range to obtain a CT correction image in the axial image view range;
a synthesis module 300, configured to obtain a CT correction image of the PET scanning region according to the CT image of the PET scanning region and the CT correction image in the axial image view range;
the second correction module 400 is configured to acquire PET scan data of a PET scan region, and perform attenuation correction on the PET scan data according to a CT correction image of the PET scan region.
The view range determining module 100 is further configured to acquire, according to the CT image of the PET scanning region, a CT image of which the image quality does not meet a preset requirement in the CT image of the PET scanning region; and determining the image artifact type of the CT image according to the CT image with the image quality not meeting the preset requirement.
The first correction module 200 is further configured to determine a correction type according to the image artifact type; and correcting the image in the axial image visual field range according to the correction type to obtain a CT correction image in the axial image visual field range.
The first correction module 200 is further configured to adjust the scanning parameters to rescan the axial image field of view to obtain CT scanning data if the image artifact type is an artifact formed by improper setting of the scanning parameters; and reconstructing the CT scanning data to obtain a CT correction image in the axial image view field range.
The first correction module 200 is further configured to acquire original data within the axial image field of view if the image artifact type is a foreign object artifact; adjusting reconstruction parameters of off-line reconstruction into foreign matter artifact removal correction; and performing off-line reconstruction on the original data and performing artifact correction to obtain a CT corrected image in the axial image view range.
The first correction module 200 is further configured to acquire an original image within the axial image field of view if the image artifact type is a motion artifact; and carrying out post-processing motion correction on the original image to obtain a CT corrected image in the axial image view range.
The synthesis module 300 is further configured to perform interpolation operation on the CT correction image in the axial image view range according to the CT image parameters, so as to obtain a CT correction image in the axial image view range with dimensions and layer positions consistent with those of the CT image. And replacing the image in the image visual field range in the CT image by the CT correction image in the axial image visual field range with the CT image dimension and the layer position consistent to obtain the CT correction image of the PET scanning region.
For specific definition of the PET image attenuation correction device, reference may be made to the above definition of the PET image attenuation correction method, which is not described herein again. The modules in the PET image attenuation correction device can be wholly or partially realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as shown in fig. 3. The computer device includes a processor, a memory, a network interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a PET image attenuation correction method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
Those skilled in the art will appreciate that the architecture shown in fig. 3 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program:
acquiring a CT image of a PET scanning region, and determining an axial image field of view range containing image artifacts in the CT image; correcting the image in the axial image visual field range to obtain a CT corrected image in the axial image visual field range; obtaining a CT correction image of the PET scanning region according to the CT image of the PET scanning region and the CT correction image in the axial image view range; and acquiring PET scanning data of a PET scanning region, and performing attenuation correction on the PET scanning data according to the CT correction image of the PET scanning region.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
according to the CT image of the PET scanning area, acquiring a CT image of which the image quality does not meet the preset requirement in the CT image of the PET scanning area; and determining the image artifact type of the CT image according to the CT image with the image quality not meeting the preset requirement.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
determining a correction type according to the image artifact type; and correcting the image in the axial image visual field range according to the correction type to obtain a CT correction image in the axial image visual field range.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
if the image artifact type is an artifact formed by improper setting of scanning parameters, adjusting the scanning parameters to re-scan the axial image view range to obtain CT scanning data; and reconstructing the CT scanning data to obtain a CT correction image in the axial image view field range.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
if the image artifact type is a foreign object artifact, acquiring original data in the axial image view range; adjusting reconstruction parameters of off-line reconstruction into foreign matter artifact removal correction; and performing off-line reconstruction on the original data and performing artifact correction to obtain a CT corrected image in the axial image view range.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
if the image artifact type is a motion artifact, acquiring an original image in the axial image view range; and carrying out post-processing motion correction on the original image to obtain a CT corrected image in the axial image view range.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
and carrying out interpolation operation on the CT corrected image in the axial image visual field range according to the CT image parameters to obtain the CT corrected image in the axial image visual field range, wherein the dimension and the layer position of the CT corrected image are consistent with those of the CT image. And replacing the image in the image visual field range in the CT image by the CT correction image in the axial image visual field range with the CT image dimension and the layer position consistent to obtain the CT correction image of the PET scanning region.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
acquiring a CT image of a PET scanning region, and determining an axial image field of view range containing image artifacts in the CT image; correcting the image in the axial image visual field range to obtain a CT corrected image in the axial image visual field range; obtaining a CT correction image of the PET scanning region according to the CT image of the PET scanning region and the CT correction image in the axial image view range; and acquiring PET scanning data of a PET scanning region, and performing attenuation correction on the PET scanning data according to the CT correction image of the PET scanning region.
In one embodiment, the computer program when executed by the processor further performs the steps of:
according to the CT image of the PET scanning area, acquiring a CT image of which the image quality does not meet the preset requirement in the CT image of the PET scanning area; and determining the image artifact type of the CT image according to the CT image with the image quality not meeting the preset requirement.
In one embodiment, the computer program when executed by the processor further performs the steps of:
determining a correction type according to the image artifact type; and correcting the image in the axial image visual field range according to the correction type to obtain a CT correction image in the axial image visual field range.
In one embodiment, the computer program when executed by the processor further performs the steps of:
if the image artifact type is an artifact formed by improper setting of scanning parameters, adjusting the scanning parameters to re-scan the axial image view range to obtain CT scanning data; and reconstructing the CT scanning data to obtain a CT correction image in the axial image view field range.
In one embodiment, the computer program when executed by the processor further performs the steps of:
if the image artifact type is a foreign object artifact, acquiring original data in the axial image view range; adjusting reconstruction parameters of off-line reconstruction into foreign matter artifact removal correction; and performing off-line reconstruction on the original data and performing artifact correction to obtain a CT corrected image in the axial image view range.
In one embodiment, the computer program when executed by the processor further performs the steps of:
if the image artifact type is a motion artifact, acquiring an original image in the axial image view range; and carrying out post-processing motion correction on the original image to obtain a CT corrected image in the axial image view range.
In one embodiment, the computer program when executed by the processor further performs the steps of:
and carrying out interpolation operation on the CT corrected image in the axial image visual field range according to the CT image parameters to obtain the CT corrected image in the axial image visual field range, wherein the dimension and the layer position of the CT corrected image are consistent with those of the CT image. And replacing the image in the image visual field range in the CT image by the CT correction image in the axial image visual field range with the CT image dimension and the layer position consistent to obtain the CT correction image of the PET scanning region.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A PET image attenuation correction method, the method comprising:
acquiring a CT image of a PET scanning region, and determining an axial image field of view range containing image artifacts in the CT image;
correcting the image in the axial image visual field range to obtain a CT corrected image in the axial image visual field range;
obtaining a CT correction image of the PET scanning region according to the CT image of the PET scanning region and the CT correction image in the axial image view range;
and acquiring PET scanning data of a PET scanning region, and performing attenuation correction on the PET scanning data according to the CT correction image of the PET scanning region.
2. The method of claim 1, wherein said determining an axial image field of view in said CT image containing image artifacts further comprises:
according to the CT image of the PET scanning area, acquiring a CT image of which the image quality does not meet the preset requirement in the CT image of the PET scanning area;
and determining the image artifact type of the CT image according to the CT image with the image quality not meeting the preset requirement.
3. The method of claim 2, wherein said correcting the image in the axial image field of view to obtain a CT corrected image in the axial image field of view comprises:
determining a correction type according to the image artifact type;
and correcting the image in the axial image visual field range according to the correction type to obtain a CT correction image in the axial image visual field range.
4. The method of claim 2, wherein said correcting the image in the axial image field of view to obtain a CT corrected image in the axial image field of view comprises:
if the image artifact type is an artifact formed by improper setting of scanning parameters, adjusting the scanning parameters to re-scan the axial image view range to obtain CT scanning data;
and reconstructing the CT scanning data to obtain a CT correction image in the axial image view field range.
5. The method of claim 2, wherein said correcting the image in the axial image field of view to obtain a CT corrected image in the axial image field of view comprises:
if the image artifact type is a foreign object artifact, acquiring original data in the axial image view range;
adjusting reconstruction parameters of off-line reconstruction into foreign matter artifact removal correction;
and performing off-line reconstruction on the original data and performing artifact correction to obtain a CT corrected image in the axial image view range.
6. The method of claim 2, wherein said correcting the image in the axial image field of view to obtain a CT corrected image in the axial image field of view comprises:
if the image artifact type is a motion artifact, acquiring an original image in the axial image view range;
and carrying out post-processing motion correction on the original image to obtain a CT corrected image in the axial image view range.
7. The method of claim 1, wherein obtaining the CT corrected image of the PET scan region from the CT image of the PET scan region and the CT corrected image in the axial image field of view comprises:
carrying out interpolation operation on the CT corrected image in the axial image visual field range according to the CT image parameters to obtain the CT corrected image in the axial image visual field range, wherein the dimension and the layer position of the CT corrected image are consistent with those of the CT image;
and replacing the image in the image visual field range in the CT image by the CT correction image in the axial image visual field range with the CT image dimension and the layer position consistent to obtain the CT correction image of the PET scanning region.
8. A PET image attenuation correction apparatus, characterized in that the apparatus comprises:
the visual field range determining module is used for acquiring a CT image of a PET scanning area; determining an axial image field of view range in the CT image that includes image artifacts;
the first correction module is used for correcting the image in the axial image visual field range to obtain a CT correction image in the axial image visual field range;
the synthesis module is used for obtaining a CT correction image of the PET scanning region according to the CT image of the PET scanning region and the CT correction image in the axial image view range;
and the second correction module is used for acquiring PET scanning data of a PET scanning area and performing attenuation correction on the PET scanning data according to the CT correction image of the PET scanning area.
9. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE102022204448A1 (en) | 2022-05-05 | 2023-11-09 | Siemens Healthcare Gmbh | Method and system for creating a quantitative positron emission tomography image |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20070131858A1 (en) * | 2005-12-12 | 2007-06-14 | General Electric Company | Multi modality imaging methods and apparatus |
US20100021034A1 (en) * | 2008-07-23 | 2010-01-28 | Siemens Corporate Research, Inc. | System and method for the generation of attenuation correction maps from mr images |
CN101856237A (en) * | 2009-02-10 | 2010-10-13 | 株式会社东芝 | Medical diagnostic imaging apparatus and method for correcting image |
CN102027507A (en) * | 2008-05-15 | 2011-04-20 | 皇家飞利浦电子股份有限公司 | Using non-attenuation corrected PET emission images to compensate for incomplete anatomic images |
US20160116603A1 (en) * | 2014-10-23 | 2016-04-28 | National Yang-Ming University | Method for pet attenuation correction |
CN109697741A (en) * | 2018-12-28 | 2019-04-30 | 上海联影智能医疗科技有限公司 | A kind of PET image reconstruction method, device, equipment and medium |
-
2019
- 2019-11-29 CN CN201911198528.3A patent/CN110811665A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20070131858A1 (en) * | 2005-12-12 | 2007-06-14 | General Electric Company | Multi modality imaging methods and apparatus |
CN102027507A (en) * | 2008-05-15 | 2011-04-20 | 皇家飞利浦电子股份有限公司 | Using non-attenuation corrected PET emission images to compensate for incomplete anatomic images |
US20100021034A1 (en) * | 2008-07-23 | 2010-01-28 | Siemens Corporate Research, Inc. | System and method for the generation of attenuation correction maps from mr images |
CN101856237A (en) * | 2009-02-10 | 2010-10-13 | 株式会社东芝 | Medical diagnostic imaging apparatus and method for correcting image |
US20160116603A1 (en) * | 2014-10-23 | 2016-04-28 | National Yang-Ming University | Method for pet attenuation correction |
CN109697741A (en) * | 2018-12-28 | 2019-04-30 | 上海联影智能医疗科技有限公司 | A kind of PET image reconstruction method, device, equipment and medium |
Non-Patent Citations (1)
Title |
---|
向世明等: "《现代光电子成像技术概论(第2版)》", 北京理工大学出版社, pages: 414 - 415 * |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE102022204448A1 (en) | 2022-05-05 | 2023-11-09 | Siemens Healthcare Gmbh | Method and system for creating a quantitative positron emission tomography image |
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