Dynamic PET scanning method, device, electronic device and storage medium

Abstract

The present invention provides a dynamic PET scanning method, device, electronic device and storage medium, the method comprising: scanning a subject injected with a tracer to obtain PET scanning data; determining an estimated injection dose and an estimated injection time of the tracer according to the PET scanning data; reconstructing the PET scanning data according to the estimated injection dose, the estimated injection time and a preset image reconstruction algorithm to obtain a scanned reconstructed image. The present invention determines the estimated injection dose and the estimated injection time of the tracer according to the PET scanning data, improves the accuracy of the estimated injection time, improves the efficiency of obtaining the estimated injection dose, and reduces the cost of obtaining the estimated injection dose.

Description

Technical Field

[0001] The present invention relates to the field of medical imaging technology, and in particular to a dynamic PET scanning method, device, electronic equipment and storage medium. Background Art

[0002] In recent years, positron emission computed tomography (PET) imaging has been widely used in clinical examination and disease diagnosis. PET imaging can include static PET imaging and dynamic PET imaging. In contrast to static PET imaging, dynamic PET imaging provides tracer distribution images at continuous time points, reveals the change pattern of tracer activity over time, and reflects the metabolic process of biological tissues over a period of time. Through kinetic modeling, functional parameters such as local blood flow, metabolic rate and binding energy of tissues and organs can be obtained. These physiological parameters can quantitatively and intuitively express the metabolic status of biological tissues, and are of great significance to whether the tissues and organs in the body are abnormal. In PET dynamic imaging, it is required to start scanning at the same time as the tracer is injected. After starting the scan, it is required to enter the injection time and measure the injection dose. Dynamic PET imaging is achieved based on the injection time and injection dose.

[0003] In the prior art, the injection time is usually manually input by the operator, and the injection dose is usually measured by the operator twice by measuring the drug in the syringe before and after the injection. Manual input of the injection time may lead to errors in the injection time input, and the injection dose is obtained by manual measurement, resulting in technical problems such as inaccurate injection dose measurement. Summary of the invention

[0004] In view of this, it is necessary to provide a dynamic PET scanning method, device, electronic device and storage medium to solve the technical problems existing in the prior art that injection time is easy to be input incorrectly and injection dose measurement accuracy is not high.

[0005] In one aspect, the present invention provides a dynamic PET scanning method, comprising:

[0006] Scanning the subject injected with the tracer to obtain PET scan data;

[0007] determining an estimated injection dose and an estimated injection time of the tracer based on the PET scan data;

[0008] The PET scan data is reconstructed according to the estimated injection dose, the estimated injection time and a preset image reconstruction algorithm to obtain a scan reconstructed image.

[0009] In some possible implementations, the subject is completely contained in the imaging field of view; and determining the estimated injection dose of the tracer according to the PET scan data includes:

[0010] Determining a region of interest of the subject;

[0011] determining a coincident event count within the region of interest based on the PET data;

[0012] The estimated injected dose is determined based on the coincident event count.

[0013] In some possible implementations, determining the estimated injection dose according to the coincidence event count includes:

[0014] Determining a correspondence between the coincidence event count and the estimated injected dose;

[0015] The estimated injection dose is determined according to the coincidence event count and the corresponding relationship.

[0016] In some possible implementations, before determining the estimated injection dose according to the coincidence event count, the method further includes:

[0017] The coincidence event count is decay-corrected based on a preset decay correction function.

[0018] In some possible implementations, the subject is injected with a tracer during a scan; and determining an estimated injection time of the tracer according to the PET scan data includes:

[0019] Based on the preset image reconstruction algorithm, reconstruct the PET scan data at a preset time frequency to obtain a plurality of preliminary reconstructed images;

[0020] Determining a region of interest of the subject;

[0021] The estimated injection time is determined based on the plurality of preliminary reconstructed images and the region of interest.

[0022] In some possible implementations, determining the region of interest of the subject includes:

[0023] A plurality of anatomical images corresponding to the plurality of preliminary reconstructed images are acquired, and a region of interest of the subject is determined based on the anatomical images.

[0024] In some possible implementations, determining a target preliminary reconstructed image among the plurality of preliminary reconstructed images includes:

[0025] Determine pixel values ​​of the region of interest in the multiple preliminary reconstructed images, determine the target preliminary reconstructed image according to the pixel values, and the time when the target preliminary reconstructed image is obtained is the estimated injection time;

[0026] Wherein, the target preliminary reconstructed image is the first preliminary reconstructed image containing the tracer among the multiple preliminary reconstructed images;

[0027] or,

[0028] A tracer deep learning model is constructed, and the target preliminary reconstructed image is determined based on the multiple preliminary reconstructed images, the region of interest, and the tracer deep learning model.

[0029] On the other hand, the present invention also provides a dynamic PET scanning device, comprising:

[0030] A scanning data acquisition unit, used to scan the subject injected with the tracer to obtain PET scanning data;

[0031] a scan estimation unit, configured to determine an estimated injection dose and an estimated injection time of the tracer according to the PET scan data;

[0032] An image reconstruction unit is used to perform image reconstruction on the PET scan data according to the estimated injection dose, the estimated injection time and a preset image reconstruction algorithm to obtain a scan reconstructed image.

[0033] On the other hand, the present invention also provides an electronic device, including a memory and a processor, wherein:

[0034] The memory is used to store programs;

[0035] The processor is coupled to the memory and is used to execute the program stored in the memory to implement the steps in the dynamic PET scanning method described in any of the above implementations.

[0036] On the other hand, the present invention also provides a computer-readable storage medium for storing a computer-readable program or instruction, which, when executed by a processor, can implement the steps in the dynamic PET scanning method described in any of the above implementations.

[0037] The beneficial effects of the above embodiments are as follows: the dynamic PET scanning method provided by the present invention, by setting the estimated injection time of the tracer to be determined according to the PET scanning data, does not need to manually input the injection time, thereby avoiding the error rate of the injection time input and improving the accuracy of the estimated injection time. In addition, the estimated injection dose of the tracer is determined by the PET scanning data, and does not need to be estimated by manual measurement, thereby improving the accuracy of the estimated injection dose.

[0038] Furthermore, the PET scan data is reconstructed according to the estimated injection dose, the estimated injection time and a preset image reconstruction algorithm to obtain a scanned reconstructed image, which can improve the reconstruction efficiency and accuracy of the scanned reconstructed image and reduce the reconstruction cost of the scanned reconstructed image. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0040] Figure 1 A schematic flow chart of an embodiment of a dynamic PET scanning method provided by the present invention;

[0041] Figure 2 For the present invention Figure 1 A schematic diagram of an embodiment of a flow chart for determining an estimated injection dose in S102;

[0042] Figure 3 For the present invention Figure 2 A schematic flow chart of an embodiment of multiple measurements in S203;

[0043] Figure 4 For the present invention Figure 1 A schematic diagram of an embodiment of a flow chart for determining an estimated injection time in S102;

[0044] Figure 5 A schematic structural diagram of an embodiment of a dynamic PET scanning device provided by the present invention;

[0045] Figure 6 A schematic structural diagram of an embodiment of an electronic device provided by the present invention. DETAILED DESCRIPTION

[0046] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0047] In the description of the embodiments of the present invention, unless otherwise specified, "multiple" means two or more than two. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, "A and / or B" may mean: A exists alone, A and B exist at the same time, and B exists alone.

[0048] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0049] The present invention provides a dynamic PET scanning method, device, electronic equipment and storage medium, which are respectively described below.

[0050] Figure 1 A schematic diagram of a flow chart of an embodiment of the dynamic PET scanning method provided by the present invention is shown in FIG. Figure 1 As shown, the dynamic PET scanning method includes:

[0051] S101, scanning the subject injected with the tracer to obtain PET scan data;

[0052] S102, determining an estimated injection dose and an estimated injection time of the tracer according to the PET scan data;

[0053] S103 , performing image reconstruction on the PET scan data according to the estimated injection dose, the estimated injection time and a preset image reconstruction algorithm to obtain a scan reconstructed image.

[0054] Compared with the prior art, the dynamic PET scanning method provided in the embodiment of the present invention, by setting the estimated injection time of the tracer to be determined according to the PET scanning data, without the need to manually input the injection time, avoids the error rate of the injection time input and improves the accuracy of the estimated injection time. In addition, the estimated injection dose of the tracer is determined by the PET scanning data, without the need to obtain the estimated injection dose by manual measurement, thereby improving the accuracy of the estimated injection dose. In addition, the estimated injection dose and estimated injection time of the tracer can be determined according to the dynamic PET scanning data, thereby realizing dynamic PET automatic scanning.

[0055] Furthermore, the PET scan data is reconstructed according to the estimated injection dose, the estimated injection time and a preset image reconstruction algorithm to obtain a scanned reconstructed image, which can improve the reconstruction efficiency and accuracy of the scanned reconstructed image and reduce the reconstruction cost of the scanned reconstructed image.

[0056] In some embodiments of the present invention, the tracer in step S101 refers to a radioactive drug that may decay and emit positrons. Radioactive drugs refer to radioactive drugs used for subjects for the purpose of diagnosis and / or treatment. Among them, the subject may be biological or non-biological. For example: the subject may be a patient, an artificial object (such as a human model), etc. In some specific embodiments, the subject may be a specific part, organ and / or tissue of a patient. For example, the subject may be any one of the patient's head, brain, neck, body, shoulder, arm, chest, heart, stomach, blood vessel, soft tissue, knee, foot, etc.

[0057] In some embodiments of the present invention, step S101 may specifically include: scanning the subject injected with the tracer through a PET scanner to obtain PET scanning data. The PET scanner may be a single-modality PET scanner or a multi-modality PET scanner. When the PET scanner is a single-modality PET scanner, the PET scanner is a PET scanning imaging device. When the PET scanner is a multi-modality PET scanner, the PET scanner may be a positron emission-computed tomography (PET-CT) scanning imaging device.

[0058] In some embodiments of the present invention, the PET scan data in step S101 may include the total number or quantity of photon pairs detected by each detector pair in the plurality of detectors of the PET scanner, location information related to the occurrence of a plurality of coincidence events along a line of response (LOR), time information of a plurality of coincidence events (e.g., the time at which each photon pair arrives at the detector, and / or the time at which each photon pair appears), etc., or any combination thereof. In some embodiments, the PET scan data may be list-mode data.

[0059] In some embodiments of the present invention, the image reconstruction algorithm preset in step S103 may be a time of flight (TOF) reconstruction algorithm or a deep learning-based reconstruction algorithm.

[0060] Among them, the flight time reconstruction algorithm and the deep learning-based reconstruction algorithm are existing technologies and will not be described in detail here.

[0061] It should be noted that if the injected drug distribution exceeds a specific part of the subject and is not within the imaging field of view of the PET scanner, the injected dose cannot be estimated. Therefore, in some embodiments of the present invention, the subject is completely contained in the imaging field of view to ensure that the estimated injected dose can be determined.

[0062] It should also be noted that if the subject is injected with a tracer before the start of the scan, the injection time may not be estimated, or the estimated injection time may differ greatly from the actual time. Therefore, in some embodiments of the present invention, the subject needs to be injected with a tracer during the scan to ensure the reliability of the estimated injection time.

[0063] In some embodiments of the present invention, Figure 2 As shown, determining the estimated injection dose of the tracer according to the PET scan data in step S102 includes:

[0064] S201, determining a region of interest of the subject;

[0065] S202, determining the coincident event count within the region of interest according to the PET data;

[0066] S203: Determine an estimated injection dose according to the matching event count.

[0067] In some embodiments of the present invention, the region of interest in step S201 is the imaging field of view of the PET scanner. In some specific embodiments, the region of interest may be the hand artery of the subject or all regions of the subject within the imaging field of view.

[0068] In a specific embodiment of the present invention, the process of determining the region of interest in step S201 may be: acquiring an anatomical image through a CT imaging device, and determining the region of interest of the subject based on the anatomical image and a preset image segmentation algorithm.

[0069] In a specific embodiment of the present invention, the process of determining the region of interest in step S201 may also be: acquiring an anatomical image through an integrated imaging device such as a PET-CT imaging device, and determining the region of interest of the subject based on the anatomical image and a preset image segmentation algorithm.

[0070] It should be understood that anatomical images can be obtained by real-time scanning by integrated imaging devices such as CT imaging devices or PET-CT imaging devices, or can be obtained in advance from historical anatomical images scanned by integrated imaging devices such as CT imaging devices or PET-CT imaging devices.

[0071] The preset image segmentation algorithm may be any image segmentation algorithm in the prior art, specifically, the image segmentation algorithm may be an image segmentation algorithm based on a neural network, for example, 3D U-Net (three-dimensional image segmentation network), Res-UNet (residual connection image segmentation network), Dense-UNet (dense connection image segmentation network), CNN-based recursive residual image segmentation network, etc. The above neural networks can be used to segment out the region of interest.

[0072] In some embodiments of the present invention, the coincidence event in step S202 is: the tracer can emit positrons. When the tracer is injected into the subject, the positrons annihilate with the electrons in the subject, generating two gamma photons (i.e., photon pairs) propagating along a line in substantially opposite directions. The detector surrounding the subject detects the photon pairs, and the photon pairs that reach the detector within a short time window can be called coincidence events.

[0073] In some embodiments of the present invention, Figure 3 As shown, step S203 includes:

[0074] S301, determining the correspondence between the count of compliance events and the estimated injection dose;

[0075] S302: Determine an estimated injection dose according to the matching event count and the corresponding relationship.

[0076] In some embodiments of the present invention, the correspondence between the count of the conforming events and the estimated injection dose in step S301 is: the count of the conforming events and the estimated injection dose are in direct proportion, that is, the more the count of the conforming events, the more the estimated injection dose.

[0077] It should be understood that the proportional relationship can be a linear proportional relationship or a nonlinear proportional relationship. The specific proportional relationship can be adjusted according to actual conditions and will not be elaborated here.

[0078] It should be noted that step S301 may be: determining the corresponding relationship between the coincident event count and the estimated injection dose according to the historical coincident event count, the historical injection dose and the existing neural network algorithm.

[0079] The correspondence between the count of the event and the estimated injection dose can be determined in advance and stored in a storage medium, and the correspondence between the count of the event and the estimated injection dose is called from the storage medium before step S302. The correspondence between the count of the event and the injection dose can also be determined before step S302, without being determined and stored in advance. The specific method can be adjusted according to actual conditions and is not limited here.

[0080] Since photon pairs may decay, that is, the coincidence event count may change, in order to avoid the technical problem of inaccurate injection dose estimation due to the decay of photon pairs, in some embodiments of the present invention, before step S302, the following is further included:

[0081] The coincidence event counts are decay corrected based on a preset decay correction function.

[0082] In a specific embodiment of the present invention, the decay correction function is:

[0083]

[0084] In the formula, C correct is the count of coincident events at time t after decay correction; C measure is the coincidence event count at time t before decay correction; e is a natural constant; λ is a decay constant; and t is the time at which the coincidence event count before decay correction is determined.

[0085] By performing decay correction on the coincidence event counts, the accuracy of the obtained coincidence event counts can be improved, thereby improving the accuracy of the estimated injected dose.

[0086] In some embodiments of the present invention, Figure 4 As shown, determining the estimated injection time of the tracer according to the PET scan data in step S102 includes:

[0087] S401, based on a preset image reconstruction algorithm, reconstructing the PET scan data at a preset time frequency to obtain a plurality of preliminary reconstructed images;

[0088] S402, determining a region of interest of the subject;

[0089] S403: Determine an estimated injection time according to the multiple preliminary reconstructed images and the region of interest.

[0090] In some embodiments of the present invention, the preset image reconstruction algorithm in step S401 may be a time of flight (TOF) reconstruction algorithm or a deep learning-based reconstruction algorithm. The preset time frequency in step S401 may be 1 second, 0.1 second, or other values, which need to be adjusted according to the accuracy of the estimated injection time. Specifically: when the accuracy of the estimated injection time is required to be high, the preset time frequency should be set to a smaller value (e.g., 0.1 second); when the accuracy of the estimated injection time is required to be low, the preset time frequency can be set to a higher value (e.g., 1 second).

[0091] In some embodiments of the present invention, the region of interest in step S402 may be all parts of the subject within the imaging field of view of the PET scanner, or may be a partial area of ​​the subject, for example, the hand artery of the subject within the imaging field of view.

[0092] In some embodiments of the present invention, step 402 is specifically:

[0093] A plurality of anatomical images corresponding to the plurality of preliminary reconstructed images are acquired, and a region of interest of the subject is determined based on the anatomical images.

[0094] The anatomical image can be acquired through a CT imaging device, and the region of interest of the subject can be determined based on the anatomical image and a preset image segmentation algorithm.

[0095] In a specific embodiment of the present invention, the anatomical image can also be acquired by an integrated imaging device such as a PET-CT imaging device, and the region of interest of the subject can be determined based on the anatomical image and a preset image segmentation algorithm.

[0096] It should be understood that anatomical images can be obtained by real-time scanning by integrated imaging devices such as CT imaging devices or PET-CT imaging devices, or can be obtained in advance from historical anatomical images scanned by integrated imaging devices such as CT imaging devices or PET-CT imaging devices.

[0097] In some embodiments of the present invention, step S403 includes:

[0098] Determine pixel values ​​of the regions of interest in the plurality of preliminary reconstructed images, determine a target preliminary reconstructed image according to the pixel values, and the time at which the target preliminary reconstructed image is obtained is the estimated injection time;

[0099] The target preliminary reconstructed image is the first preliminary reconstructed image containing the tracer among the multiple preliminary reconstructed images;

[0100] or,

[0101] A tracer deep learning model was constructed to determine the estimated injection time based on multiple preliminary reconstructed images, regions of interest, and the tracer deep learning model.

[0102] The embodiment of the present invention provides two methods for determining the estimated injection time, thereby improving the redundancy and diversity of the process for determining the estimated injection time.

[0103] Furthermore, the embodiment of the present invention can determine the estimated injection time by acquiring the preliminary reconstructed image of the target, thereby improving the acquisition efficiency of the estimated injection time and reducing the acquisition cost of the estimated injection time.

[0104] It should be understood that the multiple preliminary reconstructed images include multiple reconstructed sub-images containing tracers and multiple reconstructed sub-images not containing tracers. The multiple reconstructed sub-images containing tracers indicate that the tracer has been injected into the region of interest, while the multiple reconstructed sub-images not containing tracers indicate that the tracer has not yet been injected into the region of interest. Therefore, the estimated injection time can be determined by determining the first preliminary reconstructed image containing the tracer.

[0105] Specifically, since the pixel values ​​of the tracer in the preliminary reconstructed image are different from the pixel values ​​of the normal tissue of the subject in the preliminary reconstructed image, the target preliminary reconstructed image can be determined according to the pixel values ​​of the preliminary reconstructed image.

[0106] In some embodiments of the present invention, the tracer deep learning model may be any one of a deep belief network model (Deep Belief Network, DBN), a convolutional neural network model (Convolution Neural Network, CNN), a recurrent neural network model (Recurrent Neural Network, RNN), a generative adversarial network model (Generative Adversarial Network, GAN), etc.

[0107] Specifically, the process of constructing the tracer deep learning model is as follows: first, an initial deep learning model is constructed, and then the initial deep learning model is trained based on historical reconstruction data to obtain the tracer deep learning model. After the tracer deep learning model is obtained, multiple preliminary reconstructed images are input into the tracer deep learning model, and the target preliminary reconstructed image is automatically output.

[0108] In order to further improve the efficiency of obtaining the estimated injection time, in some other embodiments of the present invention, the tracer deep learning model can also directly determine the region of interest of the preliminary reconstructed image, without having to first obtain an anatomical image and then determine the region of interest based on the anatomical image, thereby further improving the efficiency of estimating the injection time.

[0109] In order to better implement the dynamic PET scanning method in the embodiment of the present invention, based on the dynamic PET scanning method, correspondingly, Figure 5 As shown, the embodiment of the present invention further provides a dynamic PET scanning device, and the dynamic PET scanning device 500 includes:

[0110] A scanning data acquisition unit 501 is used to scan the subject injected with the tracer to obtain PET scanning data;

[0111] A scan estimation unit 502, configured to determine an estimated injection dose and an estimated injection time of the tracer according to the PET scan data;

[0112] The image reconstruction unit 503 is used to perform image reconstruction on the PET scan data according to the estimated injection dose, the estimated injection time and a preset image reconstruction algorithm to obtain a scan reconstructed image.

[0113] The dynamic PET scanning device 500 provided in the above embodiment can implement the technical solution described in the above dynamic PET scanning method embodiment. The specific implementation principles of the above modules or units can refer to the corresponding contents in the above dynamic PET scanning method embodiment, which will not be repeated here.

[0114] like Figure 6As shown, the present invention also provides an electronic device 600. The electronic device 600 includes a processor 601, a memory 602 and a display 603. Figure 6 Only some components of the electronic device 600 are shown, but it should be understood that it is not required to implement all of the components shown, and more or fewer components may be implemented instead.

[0115] In some embodiments, the processor 601 may be a central processing unit (CPU), a microprocessor or other data processing chip, which is used to run the program code stored in the memory 602 or process data, such as the dynamic PET scanning method of the present invention.

[0116] In some embodiments, the processor 601 may be a single server or a server group. The server group may be centralized or distributed. In some embodiments, the processor 601 may be local or remote. In some embodiments, the processor 601 may be implemented in a cloud platform. In one embodiment, the cloud platform may include a private cloud, a public cloud, a hybrid cloud, a community cloud, a distributed cloud, an internal cloud, a multi-cloud, etc., or any combination thereof.

[0117] In some embodiments, the memory 602 may be an internal storage unit of the electronic device 600, such as a hard disk or memory of the electronic device 600. In other embodiments, the memory 602 may also be an external storage device of the electronic device 600, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device 600.

[0118] Furthermore, the memory 602 may include both an internal storage unit of the electronic device 600 and an external storage device. The memory 602 is used to store application software installed in the electronic device 600 and various data.

[0119] In some embodiments, the display 603 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, etc. The display 603 is used to display information on the electronic device 600 and to display a visual user interface. The components 601-603 of the electronic device 600 communicate with each other via a system bus.

[0120] In one embodiment, when the processor 601 executes the dynamic PET scanning program in the memory 602, the following steps may be implemented:

[0121] Scanning the subject injected with the tracer to obtain PET scan data;

[0122] Determining an estimated injection dose and an estimated injection time of the tracer based on the PET scan data;

[0123] The PET scan data is reconstructed according to the estimated injection dose, the estimated injection time and a preset image reconstruction algorithm to obtain a scan reconstructed image.

[0124] It should be understood that: when the processor 601 executes the dynamic PET scanning program in the memory 602, in addition to the above functions, other functions may also be implemented, and the details may refer to the description of the corresponding method embodiment above.

[0125] Furthermore, the embodiment of the present invention does not specifically limit the type of the electronic device 600 mentioned, and the electronic device 600 may be a portable electronic device such as a mobile phone, a tablet computer, a personal digital assistant (PDA), a wearable device, a laptop computer, etc. Exemplary embodiments of portable electronic devices include but are not limited to portable electronic devices equipped with IOS, Android, Microsoft or other operating systems. The above-mentioned portable electronic device may also be other portable electronic devices, such as a laptop computer with a touch-sensitive surface (e.g., a touch panel). It should also be understood that in some other embodiments of the present invention, the electronic device 600 may not be a portable electronic device, but a desktop computer with a touch-sensitive surface (e.g., a touch panel).

[0126] Accordingly, an embodiment of the present application also provides a computer-readable storage medium, which is used to store computer-readable programs or instructions. When the program or instructions are executed by a processor, the steps or functions in the dynamic PET scanning method provided in the above-mentioned method embodiments can be implemented.

[0127] The dynamic PET scanning method, device, electronic device and storage medium provided by the embodiments of the present invention, by setting the estimated injection time of the tracer to be determined according to the PET scanning data, without the need to manually input the injection time, avoids the error rate of the injection time input and improves the accuracy of the estimated injection time. In addition, the estimated injection dose of the tracer is determined by the PET scanning data, without the need to perform blood sampling on the subject, thereby improving the efficiency of obtaining the estimated injection dose and reducing the cost of obtaining the estimated injection dose.

[0128] Furthermore, the PET scan data is reconstructed according to the estimated injection dose, the estimated injection time and a preset image reconstruction algorithm to obtain a scanned reconstructed image, which can improve the reconstruction efficiency and accuracy of the scanned reconstructed image and reduce the reconstruction cost of the scanned reconstructed image.

[0129] Furthermore, the present invention can improve the accuracy of the obtained coincidence event counts by performing decay correction on the coincidence event counts in real time, thereby improving the accuracy of the estimated injection dose.

[0130] Those skilled in the art will appreciate that all or part of the processes of the above-mentioned embodiments can be implemented by instructing related hardware (such as a processor, a controller, etc.) through a computer program, and the computer program can be stored in a computer-readable storage medium, wherein the computer-readable storage medium is a disk, an optical disk, a read-only storage memory, or a random access memory, etc.

[0131] The dynamic PET scanning method, device, electronic device and storage medium provided by the present invention are introduced in detail above. The principle and implementation mode of the present invention are explained by using specific examples in this article. The description of the above embodiments is only used to help understand the method and core idea of ​​the present invention. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation mode and application scope. In summary, the content of this specification should not be understood as limiting the present invention.

Claims

1. A dynamic PET scanning method, characterized in that: include: Scanning the subject injected with the tracer to obtain PET scan data; determining an estimated injection dose and an estimated injection time of the tracer based on the PET scan data; Performing image reconstruction on the PET scan data according to the estimated injection dose, the estimated injection time and a preset image reconstruction algorithm to obtain a scan reconstructed image; The subject is completely contained within the imaging field of view; The estimated injected dose of the tracer is determined based on the PET scan data, including: Determining a region of interest of the subject; determining a coincident event count within the region of interest based on the PET scan data; Determining the estimated injection dose based on the coincident event count; The subject is injected with a tracer during the scanning process; and the estimated injection time of the tracer is determined according to the PET scanning data, comprising: Based on the preset image reconstruction algorithm, reconstruct the PET scan data at a preset time frequency to obtain a plurality of preliminary reconstructed images; Determining a region of interest of the subject; The estimated injection time is determined based on the plurality of preliminary reconstructed images and the region of interest.

2. The dynamic PET scanning method according to claim 1, characterized in that: The step of determining the estimated injection dose according to the coincidence event count comprises: Determining a correspondence between the coincidence event count and the estimated injected dose; The estimated injection dose is determined according to the coincidence event count and the corresponding relationship.

3. The dynamic PET scanning method according to claim 1 or 2, characterized in that: Before determining the estimated injection dose according to the coincident event count, the method further includes: The coincidence event count is decay-corrected based on a preset decay correction function.

4. The dynamic PET scanning method according to claim 1, characterized in that: Determining the region of interest of the subject comprises: A plurality of anatomical images corresponding to the plurality of preliminary reconstructed images are acquired, and a region of interest of the subject is determined based on the anatomical images.

5. The dynamic PET scanning method according to claim 1, characterized in that: The step of determining the estimated injection time according to the plurality of preliminary reconstructed images and the region of interest comprises: Determine pixel values ​​of the region of interest in the multiple preliminary reconstructed images, and determine a target preliminary reconstructed image according to the pixel values, wherein the acquisition time of the target preliminary reconstructed image is the estimated injection time; Wherein, the target preliminary reconstructed image is the first preliminary reconstructed image containing the tracer among the multiple preliminary reconstructed images; or, A tracer deep learning model is constructed, and the estimated injection time is determined based on the multiple preliminary reconstructed images, the region of interest, and the tracer deep learning model.

6. A dynamic PET scanning device, characterized in that: include: A scanning data acquisition unit, used to scan the subject injected with the tracer to obtain PET scanning data; a scan estimation unit, configured to determine an estimated injection dose and an estimated injection time of the tracer according to the PET scan data; An image reconstruction unit, configured to perform image reconstruction on the PET scan data according to the estimated injection dose, the estimated injection time and a preset image reconstruction algorithm to obtain a scan reconstructed image; The subject is completely contained within the imaging field of view; The estimated injected dose of the tracer is determined based on the PET scan data, including: Determining a region of interest of the subject; determining a coincident event count within the region of interest based on the PET scan data; Determining the estimated injection dose based on the coincident event count; The subject is injected with a tracer during the scanning process; and the estimated injection time of the tracer is determined according to the PET scanning data, comprising: Based on the preset image reconstruction algorithm, reconstruct the PET scan data at a preset time frequency to obtain a plurality of preliminary reconstructed images; Determining a region of interest of the subject; The estimated injection time is determined based on the plurality of preliminary reconstructed images and the region of interest.

7. An electronic device, characterized in that: comprising a memory and a processor, wherein: The memory is used to store programs; The processor is coupled to the memory and is used to execute the program stored in the memory to implement the steps in the dynamic PET scanning method described in any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that: Used to store computer-readable programs or instructions, which, when executed by a processor, can implement the steps of the dynamic PET scanning method described in any one of claims 1 to 5.

Images