PET imaging positioning method, imaging method, device, equipment and storage medium
By acquiring the photon information generated by the positron annihilation of PET drugs, filtering the target photon information and determining the activity distribution, the problem of high complexity in pre-scan positioning of traditional PET is solved, and a fast positioning method without additional equipment is realized.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-19
- Publication Date
- 2026-03-20
AI Technical Summary
Traditional PET pre-scan positioning methods require additional multimodal equipment and devices, increasing system and workflow complexity, and are time-consuming.
By acquiring the photon information generated by the annihilation of positrons released from PET drugs, the target photon information is screened out, the activity distribution of positrons in the target object is determined, and the location is performed based on the activity distribution, thus achieving rapid positioning using PET equipment.
Rapid positioning can be achieved with PET scans without additional equipment, simplifying the operation process and reducing radiation dose and time consumption.
Smart Images
Figure CN121703870A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application belongs to the technical field of PET scanning, and particularly relates to a PET imaging positioning method, an imaging method, a device, equipment and a storage medium. BACKGROUND
[0002] When a target object (such as a person, an animal or a phantom) is scanned, the target object needs to be correctly moved into a scanning area. In order to enable the target object to be correctly moved into the scanning area, the target object needs to be positioned. A conventional method usually utilizes a quick scan of other modalities in a multi-modality system, such as a computed tomography (CT) plain scan, a fast spin echo (FSE) sequence of magnetic resonance imaging (MR), to generate a positioning image, which is used to plan a scanning interval. However, the CT plain scan occupies time and has an additional radiation dose; the MR positioning image also occupies a long time. Laser positioning is used to move a scanned part to a field of view (FOV) center of a scanning device. Both of the two methods need additional multi-modality devices and apparatuses to assist positioning, and the system complexity and operation workflow complexity are increased. SUMMARY
[0003] Based on this, the embodiments of the present application provide a PET positioning method, an imaging method, a device, equipment and a storage medium, which can realize fast positioning.
[0004] In a first aspect, the embodiments of the present application provide a PET imaging positioning method, comprising:
[0005] acquiring photon information, wherein the photon information is generated by annihilation of positrons released by a PET drug in a target object;
[0006] determining target photon information from the photon information, wherein a flight direction of the target photon information is perpendicular to a scanning axis of a PET device;
[0007] determining an activity distribution of the positrons in the target object based on the target photon information;
[0008] positioning a target part of the target object based on the activity distribution.
[0009] In some embodiments, the determining of the target photon information from the photon information comprises:
[0010] screening the target photon information from the photon information based on a virtual collimation method.
[0011] In some embodiments, the determining the target photon information from the photon information comprises:
[0012] inputting the photon information into a pre-established neural network model to determine the target photon information.
[0013] In some embodiments, the determining the activity distribution of positrons in the target object based on the target photon information comprises:
[0014] counting the number of the target photon information corresponding to each position of the target object;
[0015] determining the activity distribution of positrons in the target object based on the number of the target photon information, wherein the greater the number of the target photon information corresponding to the target position, the higher the activity corresponding to the target position.
[0016] In some embodiments, the positioning the target object based on the activity distribution comprises:
[0017] determining the shape of the target object and the positions of each part of the target object based on the activity distribution.
[0018] In some embodiments, the method further comprises:
[0019] moving a target part of the target object to a scanning area based on the shape and the positions of each part of the target object.
[0020] In a second aspect, a PET imaging method is provided, and the method further comprises:
[0021] obtaining scanning data of a target part of a target object, wherein the target part is determined based on the PET imaging positioning method of any of the above;
[0022] reconstructing an image of the target part of the target object based on the scanning data.
[0023] In a third aspect, a PET imaging positioning device is provided, and the device comprises:
[0024] an obtaining module configured to obtain photon information, wherein the photon information is generated by annihilation of positrons released by a PET drug in a target object;
[0025] a first determining module configured to determine target photon information from the photon information, wherein the flight direction of the target photon information is perpendicular to the scanning axis of a PET device;
[0026] a second determining module configured to determine the activity distribution of positrons in the target object based on the target photon information.
[0027] positioning a target site of the target object based on the activity distribution.
[0028] In a fourth aspect, an embodiment of the present application provides a PET imaging device, comprising:
[0029] a scan data acquisition module configured to acquire scan data of a target site of a target object, wherein the target site is determined based on the PET imaging positioning method in any of the above aspects;
[0030] an imaging module configured to reconstruct an image of the target site of the target object based on the scan data.
[0031] In a fifth aspect, an embodiment of the present application provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and capable of running on the processor, and the processor implements the method in any of the above aspects when executing the computer program.
[0032] In a sixth aspect, an embodiment of the present application provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the method in any of the above aspects.
[0033] In a seventh aspect, an embodiment of the present application provides a computer program product, which, when running on a terminal device, causes an electronic device to execute the method in any of the above aspects.
[0034] The PET positioning method provided in the embodiments of the present application can acquire photon information, wherein the photon information is generated by annihilation of positrons released by a PET drug in a target object; determine target photon information from the photon information, wherein a flight direction of the target photon information is perpendicular to a scanning axis of a PET device; determine an activity distribution of the positrons in the target object based on the target photon information; and position a target site of the target object based on the activity distribution. The PET device can be used to implement scan analysis, other devices can not be used to assist positioning, and fast positioning can be achieved.
[0035] It can be understood that the beneficial effects of the above-mentioned second aspect to seventh aspect can be referred to the related description in the first aspect, which will not be repeated here. BRIEF DESCRIPTION OF DRAWINGS
[0036] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the accompanying drawings needed to be used in the embodiments or prior art description will be briefly introduced. Obviously, the accompanying drawings in the following description only constitute some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor.
[0037] Figure 1 An implementation flowchart of a PET imaging positioning method provided by an embodiment of the present application is shown in the figure.
[0038] Figure 2 A schematic diagram of the flight direction of photon information provided by an embodiment of the present application is shown in the figure.
[0039] Figure 3 A schematic diagram of the flight direction of target photon information provided by an embodiment of the present application is shown in the figure.
[0040] Figure 4 A schematic diagram of activity distribution provided by an embodiment of the present application is shown in the figure.
[0041] Figure 5 A structural schematic diagram of a PET imaging positioning device provided by an embodiment of the present application is shown in the figure.
[0042] Figure 6 A structural schematic diagram of an electronic device provided by an embodiment of the present application is shown in the figure.
[0043] In the accompanying drawings, the same components are denoted by the same reference signs, and the drawings are not drawn according to the actual scale. DETAILED DESCRIPTION
[0044] In the following description, specific details are set forth in order to provide a thorough understanding of embodiments of the present application. However, persons skilled in the art will understand that embodiments of the present application can be practiced without these specific details. In other instances, well-known systems, structures, circuits, and methods have not been described in detail in order to avoid obscuring the description of embodiments of the present application.
[0045] It should be understood that, when used in the specification and the appended claims of the present application, the term "comprising" indicates the presence of the described features, integers, steps, operations, elements, and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and / or groups thereof.
[0046] It should also be understood that, when used in the specification and the appended claims of the present application, the term "and / or" refers to any combination of one or more of the associated listed items and all possible combinations, and includes these combinations.
[0047] As used in the specification and the appended claims, the term "if' can be construed to mean "when" or "upon" or "in response to determining" or "in response to detecting" that, depending on the context. Similarly, the phrase "if it is determined" or "if a detection is made" can be construed to mean "once it is determined" or "in response to determining" or "once a detection is made" or "in response to detecting," depending on the context.
[0048] In addition, in the description of the specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish descriptions, and cannot be understood as indicating or implying relative importance.
[0049] In the present specification, the reference "one embodiment" or "some embodiments" and the like means that the specific features, structures or characteristics described in connection with the embodiment are included in one or more embodiments of the present application. Therefore, the statements "in one embodiment", "in some embodiments", "in other embodiments", "in additional embodiments" and the like appearing in various places in the specification are not necessarily all referring to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized.
[0050] Based on the technical problems of the related art, the present application provides a test information determination method which can be applied to electronic devices such as mobile phones, tablets, wearable devices, vehicle-mounted devices, augmented reality (AR) / virtual reality (VR) devices, notebook computers, ultra-mobile personal computers (UMPCs), netbooks, personal digital assistants (PDAs), PET devices, etc. The present application does not make any limitation on the specific type of electronic device.
[0051] The present application provides a positioning method, which is described below with the electronic device as a PET device as an example, Figure 1 The implementation flowchart of the positioning method provided by the present application is shown in Figure 1 As shown, the method comprises:
[0052] Step S101, obtaining photon information, wherein the photon information is generated by annihilation of positrons released by a PET drug in a target object.
[0053] In the present application, the PET drug refers to a radio tracer for PET, and the PET drug is usually a combination of a radioisotope and a biologically active molecule.
[0054] In the embodiments of the present application, the target object can be an animal, a human, or the like.
[0055] In the embodiments of the present application, a PET drug can be injected into the target object. After the PET drug is injected, the PET drug releases positrons in the body of the target object. When the positrons meet electrons, annihilation occurs, and two photons in opposite directions are generated. At this time, the detector of the PET device can collect the photon information. The photon information can include the polarization of the photon, the position of the photon, and the like.
[0056] In step S102, target photon information is determined from the photon information, wherein the flight direction of the target photon information is perpendicular to the scanning axis of the PET device.
[0057] In the embodiments of the present application, the flight direction of the photon is used to screen specific photons. Figure 2 A schematic diagram of the flight direction of the photon information provided by the embodiments of the present application is shown in FIG. 1. As shown in FIG. 1, the flight direction of the photon information is emitted in all directions. In FIG. 2, the flight direction is the direction indicated by the arrow. Figure 2 Figure 2
[0058] In the embodiments of the present application, the virtual collimation method is used to screen the photon information with the flight direction perpendicular to the scanning axis of the PET device from the photon information, so as to obtain the target photon information. The target photon information can be a plurality of photons in the photon information.
[0059] Figure 3 A schematic diagram of the flight direction of the target photon information provided by the embodiments of the present application is shown in FIG. 3. As shown in FIG. 3, the target photon information with the flight direction perpendicular to the scanning axis of the PET device can be obtained through screening. Figure 3
[0060] In some embodiments, the neural network model can be used to determine the target photon information. The photon information can be input into the neural network model, so as to determine the target photon information.
[0061] In step S103, the activity distribution of the positron in the target object is determined based on the target photon information.
[0062] In the embodiments of the present application, the statistical method can be used to count the number of photons at each position, so as to form the activity distribution.
[0063] In the embodiments of the present application, the activity distribution can be represented by an activity distribution graph. In the activity distribution graph, the abscissa can be the position on the scanning axis, and the ordinate can be the activity. The activity can be the number of radioactive decays per second. Figure 4 A schematic diagram of the activity distribution provided by the embodiments of the present application is shown in FIG. 4. As shown in FIG. 4, the activity distribution can be represented by the activity distribution graph. Figure 4 As shown, different positions can correspond to different activities.
[0064] In step S104, a target part of the target object is located based on the activity distribution.
[0065] In the embodiments of the present application, a suitable positioning algorithm is selected according to the activity distribution map, so as to realize the positioning of the target object. Common algorithms include: maximum likelihood estimation (MLE): the position of the target object is estimated by maximizing the likelihood function of the observed photon data. Least squares method: the target position is determined by minimizing the difference between the predicted activity and the actual measured activity. Image processing technology: high-activity regions in the activity distribution map are identified using image segmentation and edge detection technologies.
[0066] In the embodiments of the present application, the target part of the target object can be located by identifying high-activity regions and low-activity regions.
[0067] Taking a human body as an example, the high-activity regions can generally include the brain and the chest region, and the low-activity regions can be the leg region and the like. The morphology of the target and the parts of the target object can be determined by different activity regions, so as to determine the target part from each part.
[0068] The method provided by the embodiments of the present application can obtain photon information, wherein the photon information is generated by the annihilation of positrons released by a PET drug in a target object; determine target photon information from the photon information, wherein the flight direction of the target photon information is perpendicular to the scanning axis of the PET device; determine the activity distribution of the positrons in the target object based on the target photon information; and locate the target part of the target object based on the activity distribution. The scanning analysis can be realized by using the PET device, other devices can not be used to assist in positioning, and rapid positioning can be realized.
[0069] In some embodiments, step S102 determines target photon information from the photon information, which can be realized by the following steps:
[0070] In step S1021, the target photon information is filtered from the photon information based on a virtual collimation method.
[0071] In the embodiments of the present application, the captured photon information can be denoised and corrected. After denoising and correction, the photons perpendicular to the scanning axis can be filtered out according to the flight direction of the photons by using the virtual collimation method, so as to obtain the target photon information.
[0072] In the embodiments of the present application, the qualified photon information can be sorted into a new data set as the final target photon information.
[0073] In some embodiments, the determining the target photon information from the photon information comprises:
[0074] inputting the photon information into a pre-established neural network model to determine the target photon information.
[0075] In the embodiments of the present application, sample photon information can be collected, which can include the flight direction of photons, etc. The sample photon information can be labeled, and the labeled information includes known sample target photon information. Thus, a sample data set is obtained. A neural network model can be constructed, which can be a feedforward neural network, a convolutional neural network, etc. The sample data set can be used to train the neural network model, so as to obtain a trained neural network model.
[0076] After the photon information is obtained, the photon information can be input into the neural network model, so as to obtain the target photon information.
[0077] In the embodiments of the present application, the target photon information includes photons and the flight direction or other attributes of the photons.
[0078] In some embodiments, the step S103 comprises:
[0079] The step S1031 comprises: counting the number of the target photon information corresponding to each position of the target object.
[0080] In the embodiments of the present application, the target photon information can be traversed, and for each photon, its position is extracted and its count is updated, so that the number of the target photon information corresponding to each position can be obtained.
[0081] The step S1032 comprises: determining the activity distribution of positrons in the target object based on the number of the target photon information, wherein the greater the number of the target photon information corresponding to the target position, the higher the activity corresponding to the target position.
[0082] In the embodiments of the present application, the activity distribution of each position is determined according to the number of the counted target photon information. The number can be converted into an activity value using a normalization method, or the number can be directly used as an activity value.
[0083] The method provided by the embodiments of the present application can count the number of the target photon information corresponding to each position of the target object, and determine the activity distribution of positrons in the target object based on the number of the target photon information, wherein the greater the number of the target photon information corresponding to the target position, the higher the activity corresponding to the target position. The activity of positrons at each position of the target object in the PET scanning axial direction can be analyzed, so that the individual parts of the target object can be positioned.
[0084] In some embodiments, step S104 can be implemented by the following steps:
[0085] determining the morphology of the target object and each part of the target object based on the activity distribution.
[0086] In the embodiments of the present application, the morphology model of the target object can be constructed through the activity distribution data, the high activity region and the low activity region are identified according to the distribution of the activity value, and the morphological characteristics of the target object are inferred.
[0087] In the embodiments of the present application, different activity regions correspond to different parts, for example, the high activity region has two parts: the chest and the head, and the low activity region is the leg. Based on each activity region, the morphological characteristics of the target object can be determined. Similarly, each part of the target object can also be determined.
[0088] In some embodiments, after step S104, the method further comprises:
[0089] Step S105, moving the target part of the target object to the scanning area based on the morphology and each part of the target object.
[0090] In the embodiments of the present application, the moving path of the target object moving to the scanning area can be determined according to the determined morphology and the target object, and the target part of the target object is controlled to move.
[0091] In the embodiments of the present application, after reaching the scanning area, the PET device can be controlled to scan the target part of the target object.
[0092] In the embodiments of the present application, the parameters of the PET device can be set, for example, the parameters of the PET device such as the scanning mode, the resolution, the scanning time, etc. are set according to the characteristics of the target object and the scanning requirements. After setting the parameters, the PET device can be started to begin scanning the target part of the target object. Ensure that the device is running normally, and monitor any abnormalities during the scanning process. During the scanning process, the PET device will collect positron emission data from the target object. These data will be used for subsequent image reconstruction and analysis.
[0093] In some embodiments, the embodiments of the present application further provide a PET imaging method, comprising:
[0094] Step S106, obtaining scanning data of the target part of the target object, wherein the target part is determined based on the PET imaging positioning method provided in any of the above embodiments.
[0095] In the embodiments of the present application, the scanning data includes the position information and the timestamp of the positron emission.
[0096] In step S107, an image of the target part of the target object is reconstructed based on the scanning data.
[0097] In the embodiments of the present application, the scanning data can be preprocessed, including denoising, normalization, correction, etc., to improve the quality of image reconstruction. Then, the scanning data is converted into an image using a suitable reconstruction algorithm (such as filtered back projection, iterative reconstruction, etc.). After obtaining the image, the reconstructed image can be post-processed, for example, to enhance contrast, remove artifacts, etc., to improve the visualization effect. Finally, the reconstructed image can be visualized.
[0098] Based on the foregoing embodiments, the embodiments of the present application further provide a positioning method. PET drugs can be injected into a human or animal or phantom and start to metabolize (decay). A large number of two-photon pairs generated by positron annihilation in the decay process can be obtained by data acquisition. The photon information can be analyzed by using a virtual collimation method to screen and analyze the photon pairs, so that the approximate activity distribution of the object in the scanning axial direction can be obtained. The target part of the scanned object can be positioned by using the activity distribution.
[0099] The method provided by the embodiments of the present application can analyze and process the information collected by the PET itself without the need for additional hardware devices, and can perform fast scanning positioning without the need for reconstructing specific images.
[0100] According to the foregoing embodiments, the embodiments of the present application provide a PET imaging positioning device. The modules included in the device and the units included in the modules can be implemented by a processor in a computer device. Of course, they can also be implemented by a specific logic circuit. In the implementation process, the processor can be a central processing unit (CPU), a microprocessor unit (MPU), a digital signal processor (DSP), or a field programmable gate array (FPGA), etc.
[0101] The embodiments of the present application provide a PET imaging positioning device, Figure 5 A structural diagram of a PET imaging positioning device provided by the embodiments of the present application is shown in FIG. 4. As shown in FIG. 4, the PET imaging positioning device 400 includes: Figure 5 The acquisition module 401 is configured to acquire photon information generated by positron annihilation of PET drugs in a target object.
[0102]
[0103] The first determination module 402 is configured to determine target photon information from the photon information, wherein a flight direction of the target photon information is perpendicular to a scanning axis of the PET device.
[0104] The second determination module 403 is configured to determine an activity distribution of positrons in the target object based on the target photon information.
[0105] The positioning module 404 is configured to position a target part of the target object based on the activity distribution.
[0106] In some embodiments, the first determination module comprises:
[0107] The screening unit is configured to screen the target photon information from the photon information based on a virtual collimation method.
[0108] In some embodiments, the first determination module comprises:
[0109] The determination unit is configured to input the photon information into a pre-established neural network model to determine the target photon information.
[0110] In some embodiments, the second determination unit comprises:
[0111] The statistical unit is configured to count a quantity of the target photon information corresponding to each position of the target object.
[0112] The activity distribution determination unit is configured to determine an activity distribution of positrons in the target object based on the quantity of the target photon information, wherein the greater the quantity of the target photon information corresponding to a target position, the higher the activity corresponding to the target position.
[0113] In some embodiments, the positioning of the target part of the target object based on the activity distribution comprises:
[0114] Determining a shape of the target object and positions of each part of the target object based on the activity distribution.
[0115] In some embodiments, the positioning apparatus 400 further comprises:
[0116] The moving module is configured to move the target part of the target object to a scanning region based on the shape and the positions of each part of the target object.
[0117] Embodiments of the present application further provide a PET imaging apparatus, comprising:
[0118] The scanning data acquisition module is configured to acquire scanning data of a target part of a target object, wherein the target part is determined based on the PET imaging positioning method provided in the above embodiments.
[0119] The reconstruction module is used to reconstruct an image of the target part of the target object based on the scan data.
[0120] It should be noted that the information interaction and execution process between the above-mentioned devices / units are based on the same concept as the method embodiments of this application. For details on their specific functions and technical effects, please refer to the method embodiments section, and they will not be repeated here.
[0121] In addition, the positioning device can be a software unit, a hardware unit, or a combination of software and hardware. It can also be integrated into the electronic device as an independent accessory, or exist as an independent terminal device.
[0122] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units and modules are only for easy differentiation and are not intended to limit the scope of protection of this application. The specific working process of the units and modules in the above system can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.
[0123] Figure 6 This is a schematic diagram of the structure of the electronic device provided in the embodiments of this application, such as... Figure 6 As shown, the electronic device 3 in this embodiment may include: at least one processor 30 ( Figure 6 Only one processor 30, memory 31, and computer program 32 stored in memory 31 and executable on at least one processor 30 are shown. When processor 30 executes computer program 32, it implements the steps in any of the above method embodiments, for example... Figure 1 In the illustrated embodiment, steps S101 to S104, or when the processor 30 executes the computer program 32, implement the functions of each module / unit in the above system embodiments.
[0124] For example, the computer program 32 can be divided into one or more modules / units, one or more modules / units are stored in the memory 31 and executed by the processor 30 to complete the present application. One or more modules / units can be a series of computer program 32 instruction segments capable of completing a specific function, which is used to describe the execution process of the computer program 32 in the electronic device 3.
[0125] The embodiment of the present application further provides a computer readable storage medium, the computer readable storage medium stores the computer program 32, and the computer program 32 is executed by the processor 30 to realize the steps in each method embodiment.
[0126] The embodiment of the present application provides a computer program product, when the computer program product runs on the electronic device, so that the electronic device executes the steps in each method embodiment.
[0127] The integrated unit, if realized in the form of a software function unit and sold or used as an independent product, can be stored in a computer readable storage medium. According to such understanding, the embodiment of the present application realizes all or part of the processes in the above-mentioned embodiment method, which can be completed by the computer program 32 instructing the related hardware. The computer program 32 can be stored in a computer readable storage medium, and the computer program 32 can realize the steps in each method embodiment when executed by the processor 30. The computer program 32 includes computer program code, which can be in the form of source code, object code, executable file or some intermediate form. The computer readable medium at least includes any entity or device capable of carrying the computer program code to the terminal, recording medium, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal and software distribution medium. For example, U disk, mobile hard disk, magnetic disk or optical disk, etc. In some jurisdictions, according to legislation and patent practice, the computer readable medium cannot be an electrical carrier signal and a telecommunication signal.
[0128] In the above embodiments, the description of each embodiment has its own emphasis, and the parts not described or recorded in detail in a certain embodiment can be referred to the related description of other embodiments.
[0129] Those skilled in the art can understand that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be realized in electronic hardware or a combination of computer software and electronic hardware. Whether the functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.
[0130] In the embodiments provided in the present application, it should be understood that the disclosed apparatus / network device and method can be implemented by other ways. For example, the apparatus / network device embodiments described above are only schematic, for example, the division of the modules or units is only a logical function division, and there can be another division in actual implementation, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the displayed or discussed mutual couplings or direct couplings or communication connections between different parts can be indirect couplings or communication connections through some interfaces, devices or units, and can be electrical, mechanical or other forms.
[0131] The units described as separate components can or can not be physically separate, and the components shown as units can or can not be physical units, that is, they can be located in one place, or can be distributed on a plurality of network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiments.
[0132] The above-described embodiments are only used to illustrate the technical solutions of the present application, rather than limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that the technical solutions recorded in the foregoing embodiments can be modified, or some technical features can be replaced by equivalents; and these modifications or replacements do not make the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should be included in the protection scope of the present application.
Claims
1. A PET imaging positioning method, characterized in that, include: Acquire photon information, wherein the photon information is generated by the annihilation of positrons released by PET drugs in the target object; Target photon information is determined from the photon information, wherein the flight direction of the target photon information is perpendicular to the scanning axis of the PET device; The activity distribution of positrons in the target object is determined based on the target photon information; Based on the activity distribution, the target part of the target object is located.
2. The method according to claim 1, characterized in that, Determining the target photon information from the photon information includes: The target photon information is filtered from the photon information based on the virtual collimation method.
3. The method according to claim 1, characterized in that, Determining the target photon information from the photon information includes: The photon information is input into a pre-established neural network model to determine the target photon information.
4. The method according to claim 1, characterized in that, Determining the activity distribution of positrons in the target object based on the target photon information includes: Count the number of target photon information corresponding to each position of the target object; Based on the number of target photon information, the activity distribution of positrons in the target object is determined, wherein the greater the number of target photon information corresponding to the target location, the higher the activity corresponding to the target location.
5. The method according to claim 1, characterized in that, The step of locating the target part of the target object based on the activity distribution includes: The morphology of the target object and its various parts are determined based on the activity distribution.
6. The method according to claim 5, characterized in that, The method includes: Based on the shape and the various parts of the target object, the target part of the target object is moved to the scanning area.
7. A PET imaging method, characterized in that, include: Acquire scanning data of a target part of a target object, wherein the target part is determined based on the PET imaging localization method according to any one of claims 1 to 6; An image of the target part of the target object is reconstructed based on the scan data.
8. A PET positioning device, characterized in that, include: The acquisition module is used to acquire photon information, wherein the photon information is generated by the annihilation of positrons released by the PET drug in the target object; The first determining module is used to determine target photon information from the photon information, wherein the flight direction of the target photon information is perpendicular to the scanning axis of the PET device; The second determining module is used to determine the activity distribution of positrons in the target object based on the target photon information; The positioning module is used to locate the target part of the target object based on the activity distribution.
9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the method as described in any one of claims 1 to 7.
10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it implements the method as described in any one of claims 1 to 7.