CN110742632A - PET image attenuation correction method and PET-CT apparatus - Google Patents

PET image attenuation correction method and PET-CT apparatus Download PDF

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CN110742632A
CN110742632A CN201911017074.5A CN201911017074A CN110742632A CN 110742632 A CN110742632 A CN 110742632A CN 201911017074 A CN201911017074 A CN 201911017074A CN 110742632 A CN110742632 A CN 110742632A
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CN110742632B (en
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顾笑悦
孙友军
宋瑞祺
窦世丹
徐天艺
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Shanghai United Imaging Healthcare Co Ltd
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Abstract

The application relates to a PET image attenuation correction method and PET-CT equipment, which comprises the steps of obtaining a positioning image of a target to be detected; acquiring a PET image reconstruction region; acquiring an electron density information area, wherein the electron density information area comprises a plurality of sub-areas; the axial range of the electron density information area is larger than or equal to the axial range of the PET image reconstruction area; and acquiring PET scanning data corresponding to the PET image reconstruction region, and performing attenuation correction on the PET scanning data according to the electron density information in the electron density information region. According to the method, the electron density information area is set to be a plurality of sub-areas, the electron density information corresponding to the sub-areas is obtained by scanning the sub-areas through CT, then the global electron density information which is larger than or equal to the PET scanning range is obtained through splicing, attenuation correction is carried out on PET scanning data through the global electron density information, the pay-off time of the bulb tube is reduced, flexible configuration of CT scanning dose is achieved, the service life of the bulb tube is prolonged, and the radiation quantity received by a patient is reduced.

Description

PET image attenuation correction method and PET-CT apparatus
Technical Field
The invention relates to the field of medical treatment, in particular to a PET image attenuation correction method and PET-CT equipment.
Background
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. However, since gamma photons are attenuated in the human body before the photons reach the PET detector, if such attenuation factor is not corrected, SUV (standard uptake value) of the reconstructed PET image is incorrect, and therefore attenuation correction needs to be performed on the PET image.
In a traditional PET-CT system, electron density information which is consistent with the range of a PET image needing to be reconstructed within the length range of a positioning image is obtained through CT scanning. According to the method, the CT scanning range needs to cover the range of a PET reconstruction image, flexible configuration of CT scanning dose is difficult to realize, and the paying-off time of the bulb tube is long under the condition of a large axial scanning range, so that the service life of the bulb tube is shortened, a patient receives more radiation, and extra radiation damage is caused to the body of the patient.
Disclosure of Invention
The application provides a PET image attenuation correction method and PET-CT equipment, which can reduce the paying-off time of a bulb tube, realize the flexible configuration of CT scanning dose, prolong the service life of the bulb tube and reduce the radiation quantity received by a patient.
A PET image attenuation correction method, the method comprising:
acquiring a positioning image of a target to be detected;
acquiring a PET image reconstruction region;
acquiring an electron density information area, wherein the electron density information area comprises a plurality of sub-areas;
the axial range of the electron density information area is greater than or equal to the axial range of the PET image reconstruction area;
and acquiring PET scanning data corresponding to the PET image reconstruction region, and performing attenuation correction on the PET scanning data according to the electron density information in the electron density information region.
In an embodiment, the PET image reconstruction region is obtained from a single bed PET scan.
In an embodiment, at least one of the plurality of sub-regions corresponds to a CT image reconstruction region.
In an embodiment, at least one of the sub-regions corresponds to a non-CT image reconstruction region, and the electron density information of the non-CT image reconstruction region is obtained by assignment calculation.
In one embodiment, the axial extent of the non-CT image reconstruction region is obtained by a deep learning algorithm.
In an embodiment, the sub-area is a continuous sub-area or a non-continuous sub-area.
In an embodiment, if the plurality of sub-regions are discontinuous sub-regions, CT scanning is performed on a region corresponding to an axial interval between the sub-regions of the discontinuous sub-regions.
In an embodiment, if there is an overlap region between the sub-regions, the electron density information of any sub-region corresponding to the overlap region is obtained to perform attenuation correction on the PET scan data.
In an embodiment, if there is an overlap region between the sub-regions, fitting interpolation is performed on the electron density information of the sub-regions in the overlap region.
A PET-CT device comprises a machine frame and a sickbed, and the PET image attenuation correction method is realized by the PET-CT device.
The PET image attenuation correction method and the PET-CT equipment provided by the embodiment of the application comprise the steps of obtaining a positioning image of a target to be detected; acquiring a PET image reconstruction region; acquiring an electron density information area, wherein the electron density information area comprises a plurality of sub-areas; the axial range of the electron density information area is greater than or equal to the axial range of the PET image reconstruction area; and acquiring PET scanning data corresponding to the PET image reconstruction region, and performing attenuation correction on the PET scanning data according to the electron density information in the electron density information region. The PET image attenuation correction method provided by the application is characterized in that the electron density information region is set to be a plurality of sub-regions, corresponding electron density information is acquired by scanning the plurality of sub-regions through CT, then the electron density information corresponding to the plurality of sub-regions is spliced to obtain global electron density information larger than or equal to the PET scanning range, and the PET image attenuation correction is performed through the global electron density information, so that the pay-off time of the bulb tube is reduced, the service life of the bulb tube is prolonged, and the radiation quantity received by a patient can be reduced.
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In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flowchart of a PET image attenuation correction method according to an embodiment;
fig. 2 is a block diagram of a PET image attenuation correction apparatus 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.
Fig. 1 is a flowchart of a PET image attenuation correction method according to an embodiment, and as shown in fig. 1, the PET image attenuation correction method includes steps 110 to 140, where:
and step 110, acquiring a positioning image of the target to be detected.
The positioning image is a complete contour image of the target to be detected. Each clinical protocol of the hospital comprises a positioning image for the target to be detected, and the scanning mode of the positioning image comprises the following steps: the bulb tube is static at a preset position and does not rotate, and only the sickbed is controlled to move in parallel along the z direction during scanning. The positioning image can assist the doctor to set the starting position and the scanning length of the tomography or the spiral scanning, and provide a reference for reducing the radiation dose of the tomography or the spiral scanning.
In the embodiment, the positioning image of the target to be detected is obtained through CT flat scanning. Specifically, a positioning image of the target to be detected is obtained by performing CT flat scanning through a PET-CT device. The PET-CT equipment is an advanced clinical examination imaging equipment, and is an organic combination of the PET equipment and the CT equipment, the PET-CT equipment comprises a rack and a sickbed, an object to be scanned is laid on the sickbed, and the sickbed carries an object to be detected and is transferred into a scanning cavity from the outside of a scanning device. Rays emitted by the bulb tube on the stand penetrate through the target to be detected and are attenuated, and the attenuated X-rays are collected by the detector to obtain a positioning image of the target to be detected.
Step 120, a PET image reconstruction region is acquired.
A PET image reconstruction region is planned in the positioning image, which may be a partial region in the positioning image, i.e. a regular region covering all or part of the object to be detected. The PET image reconstruction region can be understood as a region of the region of interest corresponding to a tissue organ. For example, if the target to be detected is subjected to brain CT scanning, the PET image reconstruction region is the head region of the target to be detected; and if the target to be detected is subjected to lung CT scanning, the PET image reconstruction region is the lung region of the target to be detected.
In an embodiment, the PET reconstruction region may be determined by a PET scanning protocol type or a positioning image, the PET scanning protocol type may be a head protocol, a thoraco-abdominal protocol, a whole body protocol, or the like, the reconstruction views corresponding to different PET scanning protocol types are different, for example, the reconstruction views are different for a head, a thoraco-abdominal region, a whole body, or the like of a scanned object, and the corresponding PET reconstruction region is also different, and the PET reconstruction region may be set by using the PET scanning protocol type. The positioning image (Topogram, also called Topo image) may be used to identify whether the current scanning region is a tissue region including a moving organ of a human body, and the tissue region of the moving organ of the human body may be accurately positioned according to the positioning image, and may be used as a PET reconstruction region.
In an embodiment, the PET image reconstruction region is obtained from a single bed PET scan.
The PET scanning protocol can be used for multi-bed scanning, and a PET reconstruction region obtained after one bed is scanned is used as a final PET reconstruction region, so that the time can be reduced.
Step 130, an electron density information region is obtained, wherein the electron density information region comprises a plurality of sub-regions.
And acquiring an electron density information region according to the PET image reconstruction region, wherein the axial range of the electron density information region is greater than or equal to that of the PET image reconstruction region.
During the PET reconstruction, the data acquisition is required to correspond to the attenuation information of the region traversed by the line, which can be provided by the CT image. Specifically, the CT image contains electron density information (attenuation coefficient of the radiation) by which attenuation information is provided to provide attenuation correction data for the PET reconstructed image. In this embodiment, after the electron density information region is obtained, CT scanning is performed on the electron density information region to obtain electron density information in the electron density information region.
In this embodiment, the axial range of the electron density information region is greater than or equal to the axial range of the PET image reconstruction region. Generally, the axial range of the electron density information region is equal to the axial range of the PET image reconstruction region, and the attenuation information of the PET reconstruction region can be obtained. However, since the direction of the projection lines of response of all photons in the PET image reconstruction region is not constant during the scanning process, it is possible that some of the photon projection lines may be distributed in regions outside the PET image reconstruction region. For example, when a CT scan of the brain is performed on the object to be detected, the projection lines of some photons are distributed in the region of the bed plate outside the PET image reconstruction region. When the axial range of the electron density information region is equal to the axial range of the PET image reconstruction region, the electron density information obtained by CT scanning in the electron density information region cannot provide complete attenuation information. In this embodiment, the axial range of the electron density information region is set to be larger than the axial range of the PET image reconstruction region, for example, when a brain CT scan is performed on a target to be detected, the axial range of the electron density information region is extended to a bed plate region above the head, and the extended bed plate region can be selected according to an actual situation. Therefore, the most sufficient region needing attenuation information can be obtained to obtain more accurate attenuation information, so that the accuracy of the attenuation information of the region where the PET acquisition data line passes through is improved, and high-sensitivity PET reconstruction is realized.
It should be noted that the electron density information in this embodiment includes electron density information corresponding to the target to be detected in the electron density information region, electron density information of air, and electron density information corresponding to the bed plate. Due to the fact that the target to be detected, the air and the bed board have different absorption capacities on rays, the corresponding electron density information of the target to be detected, the air and the bed board is different.
In the embodiment, the axial range of the electron density information region is set to be larger than that of the PET image reconstruction region, and the electron density information region includes a plurality of sub-regions, and different sub-regions correspond to different scanning parameters.
In an embodiment, at least one of the plurality of sub-regions corresponds to a CT image reconstruction region. And carrying out CT scanning on the CT image reconstruction area to obtain the electron density information corresponding to the CT image reconstruction area.
In an embodiment, each sub-region corresponds to different identification information for identifying information of the sub-region, and the identification information may be displayed by an image device.
And 140, acquiring PET scanning data corresponding to the PET image reconstruction region, and performing attenuation correction on the PET scanning data according to the electron density information in the electron density information region.
In this embodiment, the scanning parameters corresponding to the PET image reconstruction region may be first obtained, and the PET scanning may be performed on the PET image reconstruction region according to the scanning parameters, where the scanning parameters include scanning dose, scanning time, and the like. After the PET scanning data are acquired, attenuation correction is carried out on the PET scanning data according to the electron density information in the electron density information area.
The PET image attenuation correction method provided by the embodiment comprises the steps of obtaining a positioning image of a target to be detected; acquiring a PET image reconstruction region; acquiring an electron density information area, wherein the electron density information area comprises a plurality of sub-areas; the axial range of the electron density information area is greater than or equal to the axial range of the PET image reconstruction area; and acquiring PET scanning data corresponding to the PET image reconstruction region, and performing attenuation correction on the PET scanning data according to the electron density information in the electron density information region. The PET image attenuation correction method provided by the application sets the electron density information region into a plurality of sub-regions, the electron density information corresponding to the sub-regions is obtained by CT scanning the sub-regions, then the electron density information corresponding to the sub-regions is spliced to obtain global electron density information larger than or equal to the PET scanning range, attenuation correction is carried out on PET scanning data through the global electron density information, the paying-off time of the bulb tube is reduced, flexible configuration of CT scanning dose is achieved, the service life of the bulb tube is prolonged, and the radiation quantity received by a patient can be reduced.
In an embodiment, at least one of the sub-regions corresponds to a non-CT image reconstruction region, and the electron density information of the non-CT image reconstruction region is obtained by assignment calculation.
Since CT scanning is not performed in the non-CT image reconstruction region, electron density information cannot be obtained by CT scanning, and thus electron density information is missing. The absence of electron density information in the region of electron density information can affect the quality of the reconstruction of the PET image. According to the embodiment, the electron density information of the non-CT image reconstruction region is obtained through assignment calculation, so that the continuity of attenuation information can be improved, and the accuracy of PET image attenuation correction is improved.
Specifically, the electronic density information of the non-CT image reconstruction region obtained through the assignment calculation may be estimated according to characteristics of the electronic density information of the CT image reconstruction region, and the electronic density information of the non-CT image reconstruction region is complemented, so as to ensure that the electronic density information in the electronic density information region is complete. If the electron density information is seriously lost, for example, the loss rate is below 30%, the missing value is estimated by a statistical method, so that the missing completion of the electron density information can be completed. However, when the missing rate of the electron density information reaches more than 30%, the electron density information of the CT image reconstruction region cannot be regarded as a random sample of the complete data set, so that the filling-up method based on the statistical principle is difficult to obtain a better result, noise is introduced into the data set, and the quality of the data set is reduced. Therefore, for the case of higher deletion rate, information completion can be realized by Artificial Intelligence (AI).
In one embodiment, the electron density information of the non-CT image reconstruction region can be estimated by identifying the non-CT image reconstruction region according to the air and bed plate information in the scout image.
In one embodiment, the axial extent of the non-CT image reconstruction region is obtained by a deep learning algorithm.
Specifically, a deep learning model is obtained through training of a training set, and the axial range of the non-reconstruction region can be obtained by inputting the electron density information region into the deep learning model.
In an embodiment, the sub-area is a continuous sub-area or a non-continuous sub-area. For example, if the electron density information region includes a head and a foot of the target to be detected, the sub-region is a discontinuous sub-region, and if the axial range of the electron density information region is covered by the sub-region, the sub-region is a continuous sub-region.
In an embodiment, if the plurality of sub-regions are discontinuous sub-regions, CT scanning is performed on the regions corresponding to the axial intervals between the sub-regions of the discontinuous sub-regions to obtain electron density information corresponding to the axial interval regions between the sub-regions, so that the continuity of attenuation information can be improved, and the accuracy of attenuation correction of the PET image can be improved.
In an embodiment, if there is an overlap region between the sub-regions, the electron density information of any sub-region corresponding to the overlap region is obtained to perform attenuation correction on the PET image.
If the sub-regions have overlapping regions, any sub-region in the overlapping region corresponds to the electron density information through CT scanning or assignment calculation, and therefore the overlapping region corresponds to a plurality of electron density information. The embodiment selects the electron density information corresponding to any sub-region to perform attenuation correction on the PET image.
In an embodiment, if there is an overlap region between the sub-regions, fitting interpolation is performed on the electron density information of the sub-regions in the overlap region.
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.
A PET-CT apparatus comprising a gantry and a patient bed, the apparatus implementing the steps of:
acquiring a positioning image of a target to be detected;
acquiring a PET image reconstruction region;
acquiring an electron density information area, wherein the electron density information area comprises a plurality of sub-areas;
the axial range of the electron density information area is greater than or equal to the axial range of the PET image reconstruction area;
and acquiring PET scanning data corresponding to the PET image reconstruction region, and performing attenuation correction on the PET scanning data according to the electron density information in the electron density information region.
In an embodiment, the PET image reconstruction region is obtained from a single bed PET scan.
In an embodiment, at least one of the plurality of sub-regions corresponds to a CT image reconstruction region.
In an embodiment, at least one of the sub-regions corresponds to a non-CT image reconstruction region, and the electron density information of the non-CT image reconstruction region is obtained by assignment calculation.
In one embodiment, the axial extent of the non-CT image reconstruction region is obtained by a deep learning algorithm.
In an embodiment, the sub-area is a continuous sub-area or a non-continuous sub-area.
In an embodiment, if the plurality of sub-regions are discontinuous sub-regions, CT scanning is performed on a region corresponding to an axial interval between the sub-regions of the discontinuous sub-regions.
In an embodiment, if there is an overlap region between the sub-regions, the electron density information of any sub-region corresponding to the overlap region is obtained to perform attenuation correction on the PET image.
In an embodiment, if there is an overlap region between the sub-regions, fitting interpolation is performed on the electron density information of the sub-regions in the overlap region.
The PET-CT equipment is an organic combination of the PET equipment and the CT equipment, the PET-CT equipment comprises a rack and a sickbed, an object to be scanned is laid on the sickbed, and the sickbed carries an object to be detected and is transferred into the scanning cavity from the outside of the scanning device. CT scanning and PET scanning are carried out on a target to be detected to obtain a CT image and a PET image, attenuation correction is carried out on the PET image through electron density information in the CT image, and quality of a reconstructed image is improved. The PET system in the present application may be a long axis PET system. For example, the scanning field of view in the body axis direction is expanded to a length of about 2 meters, so that the entire body of the subject from the top of the head to the toes can be diagnosed at the same time.
The PET-CT device in the embodiment realizes the following steps: acquiring a positioning image of a target to be detected; acquiring a PET image reconstruction region; acquiring an electron density information area, wherein the electron density information area comprises a plurality of sub-areas; the axial range of the electron density information area is greater than or equal to the axial range of the PET image reconstruction area; and acquiring a PET image corresponding to the PET image reconstruction region, and performing attenuation correction on the PET image according to the electron density information in the electron density information region. The implementation steps set the electron density information area to be a plurality of sub-areas, the electron density information corresponding to the sub-areas is obtained by scanning the sub-areas through CT, then the electron density information corresponding to the sub-areas is spliced to obtain global electron density information which is larger than or equal to the PET scanning range, and the PET image is subjected to attenuation correction through the global electron density information, so that the pay-off time of the bulb tube is reduced, the flexible configuration of CT scanning dosage is realized, the service life of the bulb tube is prolonged, and the radiation quantity received by a patient can be reduced.
In one embodiment, as shown in fig. 2, there is provided a PET image attenuation correction apparatus including: a first acquisition module 210, a second acquisition module 220, a third acquisition module 230, and a correction module 240, wherein:
the first obtaining module 210 is configured to obtain a positioning image of a target to be detected;
a second obtaining module 220, configured to obtain a PET image reconstruction region;
a third obtaining module 230, configured to obtain an electron density information region, where the electron density information region includes a plurality of sub-regions; the axial range of the electron density information area is greater than or equal to the axial range of the PET image reconstruction area;
and the correction module 240 is configured to acquire PET scan data corresponding to a PET image reconstruction region, and perform attenuation correction on the PET scan data according to the electron density information in the electron density information region.
In an embodiment, the PET image reconstruction region is obtained from a single bed PET scan.
In an embodiment, at least one of the plurality of sub-regions corresponds to a CT image reconstruction region.
In one embodiment, at least one of the plurality of sub-regions corresponds to a non-CT image reconstruction region, and the electron density information of the non-CT image reconstruction region is obtained by assignment calculation.
In one embodiment, the axial extent of the non-CT image reconstruction region is obtained by a deep learning algorithm.
In an embodiment, the sub-region is a continuous sub-region or a non-continuous sub-region.
In an embodiment, if the plurality of sub-regions are non-continuous sub-regions, the third obtaining module 230 performs a CT scan on a region corresponding to an axial interval between the sub-regions of the non-continuous sub-regions.
In an embodiment, if there is an overlap region between the sub-regions, the correction module 240 obtains the electron density information of any sub-region corresponding to the overlap region to perform attenuation correction on the PET image.
In an embodiment, if there is an overlap region between the sub-regions, the third obtaining module 230 performs fitting interpolation on the electron density information of the sub-regions in the overlap region.
The PET image attenuation correction device provided by the embodiment of the application comprises a first acquisition module 210, a second acquisition module 220, a third acquisition module 230 and a correction module 240, wherein the first acquisition module 210 is used for acquiring a positioning image of a target to be detected; acquiring a PET image reconstruction region through the second acquisition module 220; acquiring an electron density information region including a plurality of sub-regions by the third acquisition module 230; the axial range of the electron density information area is greater than or equal to the axial range of the PET image reconstruction area; the PET scanning data corresponding to the PET image reconstruction region is acquired through the correction module 240, and attenuation correction is performed on the PET scanning data according to the electron density information in the electron density information region. The utility model provides a PET image attenuation correction device is through setting up electron density information region into a plurality of subregions, obtain corresponding electron density information through a plurality of subregions of CT multiple scanning, then splice the electron density information that a plurality of subregions correspond and obtain the global electron density information that is greater than or equal to PET scanning range, and through global electron density information to PET image attenuation correction, the unwrapping wire time of bulb has been reduced, realize the nimble configuration of CT scanning dose, increase the life of bulb, the radiant quantity that the patient received can also be reduced.
For specific limitations of the scanning system configuration apparatus, reference may be made to the above limitations of the scanning system configuration method, which are not described herein again. The respective modules in the scanning system configuration apparatus described above may be implemented in whole or in part 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-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
acquiring a positioning image of a target to be detected;
acquiring a PET image reconstruction region;
acquiring an electron density information area, wherein the electron density information area comprises a plurality of sub-areas;
the axial range of the electron density information area is greater than or equal to the axial range of the PET image reconstruction area;
and acquiring PET scanning data corresponding to the PET image reconstruction region, and performing attenuation correction on the PET scanning data according to the electron density information in the electron density information region.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within 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 invention, 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 inventive concept, which falls within the scope of the present invention. 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 positioning image of a target to be detected;
acquiring a PET image reconstruction region;
acquiring an electron density information area, wherein the electron density information area comprises a plurality of sub-areas;
the axial range of the electron density information area is greater than or equal to the axial range of the PET image reconstruction area;
and acquiring PET scanning data corresponding to the PET image reconstruction region, and performing attenuation correction on the PET scanning data according to the electron density information in the electron density information region.
2. The method of claim 1, wherein the PET image reconstruction region is obtained from a single bed PET scan.
3. The method of claim 1, wherein at least one of the plurality of sub-regions corresponds to a CT image reconstruction region.
4. The method of claim 1, wherein at least one of the plurality of sub-regions corresponds to a non-CT image reconstruction region, and wherein electron density information of the non-CT image reconstruction region is obtained by an assignment calculation.
5. The method of claim 4, wherein the axial extent of the non-CT image reconstruction region is obtained by a deep learning algorithm.
6. The method of claim 1, wherein the sub-region is a continuous sub-region or a non-continuous sub-region.
7. The method of claim 6, wherein if the plurality of sub-regions are non-continuous sub-regions, performing a CT scan on a region corresponding to an axial spacing between sub-regions of the non-continuous sub-regions.
8. The method according to claim 1, wherein if there is an overlap region between the sub-regions, obtaining electron density information of any sub-region corresponding to the overlap region to perform attenuation correction on the PET image.
9. The method according to claim 1, wherein if there is an overlap region between the sub-regions, fitting interpolation is performed on the electron density information of the sub-regions in the overlap region.
10. A PET-CT apparatus comprising a gantry and a patient bed, characterized in that the apparatus implements the steps of the PET image attenuation correction method of any one of claims 1 to 9.
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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111700633A (en) * 2020-06-28 2020-09-25 上海联影医疗科技有限公司 PET image attenuation correction method, PET image attenuation correction device, computer equipment and readable storage medium
CN112767511A (en) * 2021-01-28 2021-05-07 东软医疗系统股份有限公司 PET image acquisition method and device
CN112862772A (en) * 2021-01-29 2021-05-28 上海联影医疗科技股份有限公司 Image quality evaluation method, PET-MR system, electronic device, and storage medium
CN112971825A (en) * 2021-02-22 2021-06-18 徐州医科大学 Automatic and accurate positioning and scanning method for PET/CT system
CN112991478A (en) * 2021-02-25 2021-06-18 复旦大学附属中山医院 Method for analyzing multi-temporal abnormal characteristic region parameters based on deep learning image

Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6490476B1 (en) * 1999-10-14 2002-12-03 Cti Pet Systems, Inc. Combined PET and X-ray CT tomograph and method for using same
US20090110256A1 (en) * 2007-10-30 2009-04-30 General Electric Company System and method for image-based attenuation correction of pet/spect images
US20120155736A1 (en) * 2005-07-01 2012-06-21 Siemens Medical Solutions Usa, Inc. Extension of Truncated CT Images For Use With Emission Tomography In Multimodality Medical Images
CN104751502A (en) * 2015-04-17 2015-07-01 北京锐视康科技发展有限公司 CT (computed tomography) image reconstruction method for expanding vision
CN107115119A (en) * 2017-04-25 2017-09-01 上海联影医疗科技有限公司 The acquisition methods of PET image attenuation coefficient, the method and system of correction for attenuation
CN107212899A (en) * 2017-05-25 2017-09-29 上海联影医疗科技有限公司 Medical imaging procedure and medical image system
US20170311919A1 (en) * 2016-05-02 2017-11-02 Daniel Gagnon Method and apparatus for performing co-planar and simultaneous spectral ct and pet imaging
CN108074270A (en) * 2016-11-11 2018-05-25 上海东软医疗科技有限公司 A kind of PET attenuation correction methods and device
CN109448070A (en) * 2018-11-06 2019-03-08 明峰医疗系统股份有限公司 A kind of CT spreads the method for reconstructing in the visual field
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
CN110215228A (en) * 2019-06-11 2019-09-10 上海联影医疗科技有限公司 PET rebuilds attenuation correction method, system, readable storage medium storing program for executing and equipment

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6490476B1 (en) * 1999-10-14 2002-12-03 Cti Pet Systems, Inc. Combined PET and X-ray CT tomograph and method for using same
US20120155736A1 (en) * 2005-07-01 2012-06-21 Siemens Medical Solutions Usa, Inc. Extension of Truncated CT Images For Use With Emission Tomography In Multimodality Medical Images
US20090110256A1 (en) * 2007-10-30 2009-04-30 General Electric Company System and method for image-based attenuation correction of pet/spect images
CN104751502A (en) * 2015-04-17 2015-07-01 北京锐视康科技发展有限公司 CT (computed tomography) image reconstruction method for expanding vision
US20170311919A1 (en) * 2016-05-02 2017-11-02 Daniel Gagnon Method and apparatus for performing co-planar and simultaneous spectral ct and pet imaging
CN108074270A (en) * 2016-11-11 2018-05-25 上海东软医疗科技有限公司 A kind of PET attenuation correction methods and device
CN107115119A (en) * 2017-04-25 2017-09-01 上海联影医疗科技有限公司 The acquisition methods of PET image attenuation coefficient, the method and system of correction for attenuation
CN107212899A (en) * 2017-05-25 2017-09-29 上海联影医疗科技有限公司 Medical imaging procedure and medical image system
CN109448070A (en) * 2018-11-06 2019-03-08 明峰医疗系统股份有限公司 A kind of CT spreads the method for reconstructing in the visual field
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
CN110215228A (en) * 2019-06-11 2019-09-10 上海联影医疗科技有限公司 PET rebuilds attenuation correction method, system, readable storage medium storing program for executing and equipment

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
GU XIAO-YUE 等: "Attenuation correction with region growing method used in the positron emission mammography imaging system", 《CHINESE PHYSICS C》, vol. 39, no. 10, pages 1 - 8 *
刘圆圆 等: "基于图像分割的双能CT不完备数据重建算法优化研究", 《CT理论与应用研究》, vol. 22, no. 4, pages 579 - 586 *
李天然 等: "功能影像设备PET-CT", 《医疗卫生装备》, vol. 26, no. 12, pages 27 - 30 *

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111700633A (en) * 2020-06-28 2020-09-25 上海联影医疗科技有限公司 PET image attenuation correction method, PET image attenuation correction device, computer equipment and readable storage medium
CN112767511A (en) * 2021-01-28 2021-05-07 东软医疗系统股份有限公司 PET image acquisition method and device
CN112767511B (en) * 2021-01-28 2024-06-25 沈阳智核医疗科技有限公司 PET image acquisition method and device
CN112862772A (en) * 2021-01-29 2021-05-28 上海联影医疗科技股份有限公司 Image quality evaluation method, PET-MR system, electronic device, and storage medium
CN112862772B (en) * 2021-01-29 2023-08-08 上海联影医疗科技股份有限公司 Image quality evaluation method, PET-MR system, electronic device, and storage medium
CN112971825A (en) * 2021-02-22 2021-06-18 徐州医科大学 Automatic and accurate positioning and scanning method for PET/CT system
CN112991478A (en) * 2021-02-25 2021-06-18 复旦大学附属中山医院 Method for analyzing multi-temporal abnormal characteristic region parameters based on deep learning image
CN112991478B (en) * 2021-02-25 2024-02-02 复旦大学附属中山医院 Method for analyzing multi-time different characteristic region parameters based on deep learning image

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