CN111728631A

CN111728631A - PET system detection data correction method and device and computer equipment

Info

Publication number: CN111728631A
Application number: CN202010751891.XA
Authority: CN
Inventors: 李俊
Original assignee: Shanghai United Imaging Healthcare Co Ltd
Current assignee: Shanghai United Imaging Healthcare Co Ltd
Priority date: 2020-07-30
Filing date: 2020-07-30
Publication date: 2020-10-02

Abstract

The application relates to a PET system detection data correction method, a PET system detection data correction device and computer equipment, wherein the PET system detection data correction method comprises the following steps: obtaining the effective event counting rate of each detector module of the PET system; determining the position of a first detector module according to the effective event counting rate of each detector module, wherein the effective event counting rate of the first detector module is lower than a set threshold value; taking a detector module adjacent to the first detector module as a second detector module; and determining the effective event counting rate of the first detector module according to the effective event counting rate of the second detector module. Through correcting the effective event count rate of the first detector module, when the detector module is abnormal, the data of the abnormal detector can be automatically calculated, the PET system is ensured to scan, and normal reconstruction is carried out. Meanwhile, the cost expense caused by replacing the whole detector when the detector module fails is also avoided.

Description

PET system detection data correction method and device and computer equipment

Technical Field

The application relates to the field of medical equipment, in particular to a method and a device for correcting detection data of a PET system and computer equipment.

Background

Positron Emission Tomography (PET) is a relatively advanced clinical examination imaging technique in the field of nuclear medicine. The general method is to mix a certain substance, which is generally necessary in the metabolism of biological life, such as: glucose, protein, nucleic acid, fatty acid, short-lived radionuclides (such as F18, carbon 11, etc.) labeled with these substances are injected into the human body, and the aggregation of these substances in the metabolism reflects the metabolic activity of the life, so that the purpose of diagnosis is achieved. Because positron emission computed tomography has the characteristics of high sensitivity, high specificity, good safety and the like, positron emission computed tomography is more widely applied. PET systems generally comprise detectors, coincidence control devices, image reconstruction devices and some peripheral devices, wherein the detectors are used for receiving photons generated by annihilation of radionuclides in a human body; the coincidence control device is used for determining a coincidence event according to the photon information received by the detector; the image reconstruction means are arranged for generating a medical image from the coincidence events. More specifically, the detector is made up of a plurality of detector modules, each of which is in turn made up of a crystal array. With the improvement of the integration level of the detector, the number of the detector modules is increased, and the probability of the detector modules working abnormally is increased during normal use. Once the detector module is abnormal, the system reports an error, and the scanning cannot be performed.

The current traditional technology needs to replace the whole detector when the detector module is abnormal, so that the use cost of a PET system is increased, the replacement process is complex, and normal scanning work is influenced.

Disclosure of Invention

The embodiment of the application provides a method and a device for correcting detection data of a PET system, computer equipment and a storage medium, so as to at least solve the problems that in the related art, the cost for replacing a detector module is high and normal scanning work is influenced.

In a first aspect, an embodiment of the present application provides a method for correcting detection data of a PET system, including: obtaining the effective event counting rate of each detector module of the PET system; determining the position of a first detector module according to the effective event counting rate of each detector module, wherein the effective event counting rate of the first detector module is lower than a set threshold value; taking a detector module adjacent to the first detector module as a second detector module; and determining the effective event counting rate of the first detector module according to the effective event counting rate of the second detector module.

In one embodiment, the determining the position of the first detector module according to the effective event count rate of each of the detector modules comprises: comparing the effective event count rate of each detector module with a set threshold; taking a detector module corresponding to the effective event counting rate smaller than a set threshold value as a first detector module; a position of the first detector module is determined.

In one embodiment, the treating the detector module adjacent to the first detector module as the second detector module comprises: classifying the positions of the first detector modules into a plurality of position types according to the positions of the first detector modules; and selecting a preset number of detector modules adjacent to the first detector module as second detector modules according to the position types.

In one embodiment, the selecting a preset number of detector modules adjacent to the first detector module as the second detector module according to the position type includes: the location types include a first type, a second type, and a third type; if the type of the second detector module is the first type, 8 detector modules adjacent to the first detector module are selected as second detector modules; if the type of the second detector module is the second type, selecting 5 detector modules adjacent to the first detector module as second detector modules; and if the type is the third type, selecting 3 detector modules adjacent to the first detector module as second detector modules.

In one embodiment, the determining the effective event count rate of the first detector module based on the effective event count rate of the second detector module comprises: calculating a count rate mean value according to the effective event count rates of all the second detector modules; and taking the count rate mean value as the effective event count rate of the first detector module.

In one embodiment, the acquiring the number of valid events acquired by each detector module comprises: comparing the effective event count rate of each detector module with a set threshold; taking a detector module corresponding to the effective event counting rate smaller than a set threshold value as a first detector module; and counting the number of the first detector modules, and if the number of the first detector modules is greater than an alarm threshold value, carrying out alarm prompt.

In one embodiment, determining the effective event count rate of the first detector module based on the effective event count rate of the second detector module comprises: obtaining an effective event counting rate collected by a detector module; replacing the effective event counting rate corresponding to the first detector module with the corrected effective event counting rate; and reconstructing the image according to the corrected effective event counting rate to obtain a reconstructed image.

In a second aspect, an embodiment of the present application provides a PET system detection data correction apparatus, including: the acquisition module is used for acquiring the effective event counting rate of each detector module of the PET system; the position determining module is used for determining the position of a first detector module according to the effective event counting rate of each detector module, and the effective event counting rate of the first detector module is lower than a set threshold value; a search module for using a detector module adjacent to the first detector module as a second detector module; and the correction module is used for determining the effective event counting rate of the first detector module according to the effective event counting rate of the second detector module.

In a third aspect, an embodiment of the present application provides a computer device, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, and when the processor executes the computer program, the PET system detection data modification method according to the first aspect is implemented.

In a fourth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, which when executed by a processor, implements the PET system detection data correction method according to the first aspect.

According to the method for correcting the detection data of the PET system, the position of a first detector module is determined by obtaining the effective event counting rate of each detector module of the PET system and according to the effective event counting rate of each detector module; the first detector module is a detector module with an effective event counting rate lower than a preset threshold value, namely an abnormal detector module; after the first detector module is determined, the detector module adjacent to the first detector module is used as a second detector module, and finally, the effective event counting rate of the first detector module is determined according to the effective event counting rate of the second detector module, namely, the effective event counting rate of the first detector module is corrected. Through correcting the effective event count rate of the first detector module, when the detector module is abnormal, the data of the abnormal detector can be automatically calculated, the PET system is ensured to scan, and normal reconstruction is carried out. Meanwhile, the cost expense caused by replacing the whole detector when the detector module fails is also avoided.

The details of one or more embodiments of the application are set forth in the accompanying drawings and the description below to provide a more thorough understanding of the application.

Drawings

The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:

FIG. 1 is a schematic view of a PET detector in one embodiment;

FIG. 2 is a schematic flow chart illustrating a method for modifying detection data of a PET system according to one embodiment;

FIG. 3 is a schematic illustration of a first type of detector module in one embodiment;

FIG. 4 is a schematic view of a second type of detector module in one embodiment;

FIG. 5 is a schematic view of a third type of detector module in one embodiment;

FIG. 6 is a schematic diagram of a PET system detection data modification system in one embodiment;

FIG. 7 is a block diagram showing an embodiment of a device for correcting detection data of a PET system;

fig. 8 is a schematic hardware configuration diagram of a computer device in one embodiment.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be described and illustrated below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments provided in the present application without any inventive step are within the scope of protection of the present application.

It is obvious that the drawings in the following description are only examples or embodiments of the present application, and that it is also possible for a person skilled in the art to apply the present application to other similar contexts on the basis of these drawings without inventive effort. Moreover, it should be appreciated that in the development of any such actual implementation, as in any engineering or design project, numerous implementation-specific decisions must be made to achieve the developers' specific goals, such as compliance with system-related and business-related constraints, which may vary from one implementation to another.

Reference in the specification to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the specification. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of ordinary skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments without conflict.

Unless defined otherwise, technical or scientific terms referred to herein shall have the ordinary meaning as understood by those of ordinary skill in the art to which this application belongs. Reference to "a," "an," "the," and similar words throughout this application are not to be construed as limiting in number, and may refer to the singular or the plural. The present application is directed to the use of the terms "including," "comprising," "having," and any variations thereof, which are intended to cover non-exclusive inclusions; for example, a process, method, system, article, or apparatus that comprises a list of steps or modules (elements) is not limited to the listed steps or elements, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus. Reference to "connected," "coupled," and the like in this application is not intended to be limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. The term "plurality" as referred to herein means two or more. "and/or" describes an association relationship of associated objects, meaning that three relationships may exist, for example, "A and/or B" may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. Reference herein to the terms "first," "second," "third," and the like, are merely to distinguish similar objects and do not denote a particular ordering for the objects.

Positron Emission Tomography (PET) is a relatively advanced clinical examination imaging technique in the field of nuclear medicine. It is to take certain substances, generally necessary in the metabolism of biological life, such as: glucose, protein, nucleic acid, fatty acid, short-lived radionuclides (such as 18F, 11C, etc.) labeled with a label, when injected into a human body, the radionuclides release positrons during decay, and a positron travels from a few tenths of a millimeter to a few millimeters and encounters an electron to be annihilated, thereby generating a pair of photons with energy of 511KeV in opposite directions. This pair of photons is captured by a detector and corrected for scatter and random information by a computer. By carrying out the same analysis processing on different positrons, a three-dimensional image of the aggregation condition in a living body can be obtained, thereby achieving the purpose of diagnosis.

As shown in FIG. 1, FIG. 1 is a schematic view of a PET detector in one embodiment. The PET detector is comprised of a plurality of detector modules, each referred to as a detector module 110, each detector module 110 in turn is comprised of an array of m x n crystals 111, each crystal 111 being referred to as a crystal. Photons generated by positron annihilation are emitted to the crystal 111, a rear-end reading circuit of each detector module 110 converts optical signals into electric signals, crystal position information, photon energy information and time information of photon arrival at the detector of the received photons are calculated, and a rear-end coincidence control device finishes the judgment of coincidence events according to the information calculated by the rear-end reading circuit. The prior art also counts the number of valid events received per second (or per 0.1 second) on each detector module 110, that is, the count rate of the detector module 110, and when the count rate of the detector module 110 is lower than a threshold, the system prompts the corresponding detector module to make an error and terminates the scanning.

The embodiment also provides a PET system detection data correction method. FIG. 2 is a schematic flowchart of a method for correcting detection data of a PET system according to an embodiment, and as shown in FIG. 2, the flowchart includes the following steps:

and S102, acquiring the effective event counting rate of each detector module of the PET system.

Specifically, after each crystal in the crystal array receives a photon, the number of effective events of the photon received by all crystals in the detector module, that is, the effective event count rate of the detector module, is counted. Preferably, the effective event counting rate received by the detector module within the preset time range is obtained, wherein the preset time can be set according to actual use requirements.

And step S104, determining the position of the first detector module according to the effective event counting rate of each detector module.

Specifically, the effective event count rate of the first detector module is below a set threshold. Through counting the effective event counting rates of all the detector modules, comparing the effective event counting rates with a set threshold value, screening out the detector modules corresponding to the effective event counting rates lower than the set threshold value, namely screening out the detector modules with abnormity, and taking the detector modules with abnormity as a first detector module. More specifically, the effective event counting rate of each detector module is compared with a set threshold value; and taking the detector module corresponding to the effective event counting rate smaller than the set threshold value as a first detector module, searching a module number corresponding to the first detector module in the system, and determining the position of the first detector module according to the module number. Wherein, the set threshold value can be set different threshold values according to the system sensitivity and the resolution. Specifically, each detector module corresponds to one reading circuit, output information of the reading circuit has a corresponding relation with the reading circuit, the number of the detector module is determined according to the output information of the reading circuit, and the position of the first detector module is determined according to the module number. For example, the first detector module is located at row 5, column 3.

And S106, taking the detector module adjacent to the first detector module as a second detector module.

Specifically, after the position of the first detector module is determined, the detector modules within a preset range around the first detector module are selected as the second detector module according to the position of the first detector module. The preset range may be the number of detector modules, for example, the preset range is 2 detector modules, that is, the detector module within two detector modules away from the first detector module is selected as the second detector module. Preferably, the preset range is 1 detector module, that is, the adjacent detector module of the first detector module is selected as the second detector module.

In one embodiment, the positions of the first detector modules are classified into a plurality of position types according to the positions of the first detector modules; and selecting a preset number of detector modules adjacent to the first detector module as second detector modules according to the position types. Specifically, as shown in fig. 3-5, the location types include a first type, a second type, and a third type. The first detector modules are classified into three types according to their position in the overall PET detector. If the first detector module is not at the edge of the PET detector, then the first detector module at the corresponding position is called a first type; if the first detector module is at an edge of a PET detector and not at a corner where two edges of the PET detector meet, then the first detector module at the corresponding position is called a second type; if the first detector module is at a corner where two edges of the PET detector meet, the first detector module at the corresponding location is referred to as a third type.

In one embodiment, if the position type of the first detector module is the first type, 8 detector modules adjacent to the first detector module are selected as the second detector module, and in fig. 3, the count rate 0, the count rate 1, the count rate 2, the count rate 3, the count rate 4, the count rate 5, the count rate 6, and the count rate 7 are all the second detector module. If the position type of the first detector module is the second type, 5 detector modules adjacent to the first detector module are selected as the second detector module, and in the graph 4, the count rate 0, the count rate 1, the count rate 2, the count rate 3 and the count rate 4 are all the second detector modules. If the position type of the first detector module is the third type, 3 detector modules adjacent to the first detector module are selected as the second detector module, and in fig. 5, the count rate 0, the count rate 1 and the count rate 2 are all the second detector modules.

And S108, determining the effective event counting rate of the first detector module according to the effective event counting rate of the second detector module.

Specifically, calculating a count rate mean value according to the effective event count rates of all the second detector modules; and taking the count rate mean value as the effective event count rate of the first detector module. More specifically, if the position type of the first detector module is the first type, the effective event count rates of 8 second detector modules are obtained, the 8 effective event count rates are summed and then divided by 8, a count rate mean value is calculated, and the count rate mean value is used as the effective event count rate of the first detector module, that is, the damage data of the detector module is corrected. If the position type of the first detector module is the second type, the effective event counting rates of the 5 second detector modules are obtained, the 5 effective event counting rates are summed and then divided by 5, the counting rate mean value is calculated, and the counting rate mean value is used as the effective event counting rate of the first detector module, namely the damage data of the detector module is corrected. If the position type of the first detector module is the third type, the effective event counting rates of the 3 second detector modules are obtained, the effective event counting rates of the 3 second detector modules are summed and then divided by 3, the counting rate mean value is calculated, and the counting rate mean value is used as the effective event counting rate of the first detector module, namely the damage data of the detector module is corrected.

In one embodiment, when the first detector module is present, that is, the abnormal detector module is present, the limited use status prompt is performed, but the scanning and the reconstruction can still be continued, and the reconstructed image has no obvious artifact problem.

According to the method for correcting the detection data of the PET system, the position of a first detector module is determined by obtaining the effective event counting rate of each detector module and according to the effective event counting rate of each detector module; the first detector module is a detector module with an effective event counting rate lower than a preset threshold value, namely an abnormal detector module; after the first detector module is determined, the detector module adjacent to the first detector module is used as a second detector module, and finally, the effective event counting rate of the first detector module is determined according to the effective event counting rate of the second detector module, namely, the effective event counting rate of the first detector module is corrected. Through correcting the effective event count rate of the first detector module, when the detector module is abnormal, the data of the abnormal detector can be automatically calculated, the PET system is ensured to scan, and normal reconstruction is carried out. Meanwhile, the cost expense caused by replacing the whole detector when the detector module fails is also avoided.

In one embodiment, the effective event count rate of each of the detector modules is compared to a set threshold; taking a detector module corresponding to the effective event counting rate smaller than a set threshold value as a first detector module; and counting the number of the first detector modules, and if the number of the first detector modules is greater than an alarm threshold value, carrying out alarm prompt. Specifically, after the first detector modules are determined, the number of the first detector modules is counted, that is, the number of the detector modules in which the abnormality occurs is counted. And comparing the counted number of the first detector modules with an alarm threshold, and if the counted number of the first detector modules is larger than the alarm threshold, carrying out alarm prompt. Wherein, the suggestion of reporting an emergency and asking for help or increased vigilance can carry out voice broadcast through the speaker and report an emergency and ask for help or increased vigilance through the high frequency sound that speaker sent, can also report an emergency and ask for help or increased vigilance through light, and this implementation is not injectd specific alarm mode, only need reach and report an emergency and ask for help or increased vigilance. The alarm threshold value can be the maximum abnormal value of normal operation of the PET system obtained according to daily used big data statistics, and when the number of the abnormal detector modules is larger than the maximum abnormal value, alarm prompt is executed. Further, the normal operation of the equipment is ensured, and the quality of the generated image is ensured.

In one embodiment, the effective event count rate collected by the detector module is obtained; replacing the effective event counting rate corresponding to the first detector module with the corrected effective event counting rate; and reconstructing the image according to the corrected effective event counting rate to obtain a reconstructed image. Specifically, the effective event counting rate acquired by the abnormal detector module is replaced by the effective event counting rate corrected by the method, and finally, image reconstruction is performed through the corrected effective event counting rate to obtain a reconstructed image.

In one embodiment, as shown in FIG. 6, FIG. 6 is a schematic diagram of a PET system detection data correction system 610 in one embodiment. The PET system detection data correction system 610 includes: a detector module count rate statistics module 611, a detector module failure determination module 612, and a failed detector module interpolation module 613. The back-end circuit of the detector module 620 sequentially: the detector module count rate statistics module 611, the detector module failure determination module 612, and the failed detector module interpolation module 613 are connected to the coincidence device 630. Data obtained after the processing of the back end circuit of the detector module 620 is input to the PET bad module data correction device, and at first, in the detector module count rate statistics module 611, the number of effective events per unit time of each detector module in each detector, that is, the count rate of the detector module, is counted, if there are m detector modules per unit time, the count rate of m detector modules per unit time is output to the next-stage module, that is, the detector module failure determination module 612. In the detector module failure determination module 612, specific position information of the failed detector module in the detector is located according to the m × n detector module counting rates and the failure threshold values output by the previous stage. And transmitting the position information of the invalid detector module and the counting rate of the detector modules of the normal detector modules around the invalid detector module to an invalid detector module interpolation module 613 to obtain the corrected counting rate of the invalid detector module. The corrected count rate of the failed detector module is finally transmitted to coincidence device 630, and a coincidence event is determined by coincidence device 630.

It should be noted that the steps illustrated in the above-described flow diagrams or in the flow diagrams of the figures may be performed in a computer system, such as a set of computer-executable instructions, and that, although a logical order is illustrated in the flow diagrams, in some cases, the steps illustrated or described may be performed in an order different than here.

The embodiment also provides a PET system detection data correction device, which is used for implementing the above embodiments and preferred embodiments, and the description of the above embodiments is omitted. As used hereinafter, the terms "module," "unit," "subunit," and the like may implement a combination of software and/or hardware for a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.

Fig. 7 is a block diagram of a device for correcting detection data of a PET system according to an embodiment, as shown in fig. 7, the device includes: an acquisition module 100, a position determination module 200, a lookup module 300, and a remediation module 400.

An acquisition module 100 is configured to acquire an effective event count rate of each detector module of the PET system.

And the position determining module 200 is configured to determine a position of a first detector module according to the effective event count rate of each detector module, where the effective event count rate of the first detector module is lower than a set threshold.

A search module 300 for regarding a detector module adjacent to the first detector module as a second detector module.

And the rectification module 400 is configured to determine the effective event count rate of the first detector module according to the effective event count rate of the second detector module.

The position determining module 200 is further configured to compare the effective event count rate of each of the detector modules with a set threshold; taking a detector module corresponding to the effective event counting rate smaller than a set threshold value as a first detector module; a position of the first detector module is determined.

The searching module 300 is further configured to classify the position of the first detector module into multiple position types according to the position of the first detector module; and selecting a preset number of detector modules adjacent to the first detector module as second detector modules according to the position types.

The searching module 300 is further configured to select 8 detector modules adjacent to the first detector module as second detector modules if the first type is the first type; if the type of the second detector module is the second type, selecting 5 detector modules adjacent to the first detector module as second detector modules; and if the type is the third type, selecting 3 detector modules adjacent to the first detector module as second detector modules.

The correcting module 400 is used for calculating a counting rate mean value according to the effective event counting rates of all the second detector modules; and taking the count rate mean value as the effective event count rate of the first detector module.

The PET system detection data correction device further comprises: and an alarm module.

The alarm module is used for comparing the effective event counting rate of each detector module with a set threshold value; taking a detector module corresponding to the effective event counting rate smaller than a set threshold value as a first detector module; and counting the number of the first detector modules, and if the number of the first detector modules is greater than an alarm threshold value, carrying out alarm prompt.

The PET system detection data correction device further comprises: and a reconstruction module.

The reconstruction module is used for acquiring the effective event counting rate acquired by the detector module; replacing the effective event counting rate corresponding to the first detector module with the corrected effective event counting rate; and reconstructing the image according to the corrected effective event counting rate to obtain a reconstructed image.

The above modules may be functional modules or program modules, and may be implemented by software or hardware. For a module implemented by hardware, the modules may be located in the same processor; or the modules can be respectively positioned in different processors in any combination.

In addition, the method for correcting the detection data of the PET system described in conjunction with fig. 1 can be implemented by a computer device. Fig. 8 is a hardware structure diagram of a computer device according to an embodiment of the present application.

The computer device may comprise a processor 81 and a memory 82 in which computer program instructions are stored.

Specifically, the processor 81 may include a Central Processing Unit (CPU), or A Specific Integrated Circuit (ASIC), or may be configured to implement one or more Integrated circuits of the embodiments of the present Application.

Memory 82 may include, among other things, mass storage for data or instructions. By way of example, and not limitation, memory 82 may include a Hard Disk Drive (Hard Disk Drive, abbreviated HDD), a floppy Disk Drive, a Solid State Drive (SSD), flash memory, an optical Disk, a magneto-optical Disk, tape, or a Universal Serial Bus (USB) Drive or a combination of two or more of these. Memory 82 may include removable or non-removable (or fixed) media, where appropriate. The memory 82 may be internal or external to the data processing apparatus, where appropriate. In a particular embodiment, the memory 82 is a Non-Volatile (Non-Volatile) memory. In particular embodiments, Memory 82 includes Read-Only Memory (ROM) and Random Access Memory (RAM). The ROM may be mask-programmed ROM, Programmable ROM (PROM), Erasable PROM (EPROM), Electrically Erasable PROM (EEPROM), Electrically rewritable ROM (earrom) or FLASH Memory (FLASH), or a combination of two or more of these, where appropriate. The RAM may be a Static Random-Access Memory (SRAM) or a Dynamic Random-Access Memory (DRAM), where the DRAM may be a Fast Page Mode Dynamic Random-Access Memory (FPMDRAM), an Extended Data Output Dynamic Random Access Memory (EDODRAM), a Synchronous Dynamic Random Access Memory (SDRAM), and the like.

The memory 82 may be used to store or cache various data files for processing and/or communication use, as well as possible computer program instructions executed by the processor 81.

The processor 81 reads and executes the computer program instructions stored in the memory 82 to implement any one of the PET system detection data correction methods in the above embodiments.

In some of these embodiments, the computer device may also include a communication interface 83 and a bus 80. As shown in fig. 8, the processor 81, the memory 82, and the communication interface 83 are connected via the bus 80 to complete communication therebetween.

The communication interface 83 is used for implementing communication between modules, devices, units and/or equipment in the embodiment of the present application. The communication port 83 may also be implemented with other components such as: the data communication is carried out among external equipment, image/data acquisition equipment, a database, external storage, an image/data processing workstation and the like.

Bus 80 includes hardware, software, or both to couple the components of the computer device to each other. Bus 80 includes, but is not limited to, at least one of the following: data Bus (Data Bus), Address Bus (Address Bus), Control Bus (Control Bus), Expansion Bus (Expansion Bus), and Local Bus (Local Bus). By way of example, and not limitation, Bus 80 may include an Accelerated Graphics Port (AGP) or other Graphics Bus, an Enhanced Industry Standard Architecture (EISA) Bus, a Front-Side Bus (FSB), a HyperTransport (HT) interconnect, an ISA (ISA) Bus, an InfiniBand (InfiniBand) interconnect, a Low Pin Count (LPC) Bus, a memory Bus, a Micro Channel Architecture (MCA) Bus, a Peripheral Component Interconnect (PCI) Bus, a PCI-Express (PCI-X) Bus, a Serial Advanced Technology Attachment (SATA) Bus, a Video electronics standards Association Local Bus (VLB) Bus, or other suitable Bus or a combination of two or more of these. Bus 80 may include one or more buses, where appropriate. Although specific buses are described and shown in the embodiments of the application, any suitable buses or interconnects are contemplated by the application.

The computer device may execute the PET system detection data correction method in the embodiment of the present application based on the acquired computer instruction, thereby implementing the PET system detection data correction method described with reference to fig. 2.

In addition, in combination with the PET system detection data correction method in the foregoing embodiment, the embodiment of the present application may be implemented by providing a computer-readable storage medium. The computer readable storage medium having stored thereon computer program instructions; the computer program instructions, when executed by a processor, implement any of the PET system detection data correction methods described in the above embodiments.

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 application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims

1. A PET system detection data correction method is characterized by comprising the following steps:

obtaining the effective event counting rate of each detector module of the PET system;

determining the position of a first detector module according to the effective event counting rate of each detector module, wherein the effective event counting rate of the first detector module is lower than a set threshold value;

taking a detector module adjacent to the first detector module as a second detector module;

and determining the effective event counting rate of the first detector module according to the effective event counting rate of the second detector module.

2. The PET system detection data correction method of claim 1, wherein said determining a position of a first detector module based on an effective event count rate of each of said detector modules comprises:

comparing the effective event count rate of each detector module with a set threshold;

taking a detector module corresponding to the effective event counting rate smaller than a set threshold value as a first detector module;

a position of the first detector module is determined.

3. The PET system detection data correction method of claim 1 wherein the treating the detector module adjacent to the first detector module as a second detector module comprises:

classifying the positions of the first detector modules into a plurality of position types according to the positions of the first detector modules;

and selecting a preset number of detector modules adjacent to the first detector module as second detector modules according to the position types.

4. The method of claim 3, wherein selecting a predetermined number of detector modules adjacent to the first detector module as the second detector module according to the location type comprises: the location types include a first type, a second type, and a third type;

if the type of the second detector module is the first type, 8 detector modules adjacent to the first detector module are selected as second detector modules;

if the type of the second detector module is the second type, selecting 5 detector modules adjacent to the first detector module as second detector modules;

and if the type is the third type, selecting 3 detector modules adjacent to the first detector module as second detector modules.

5. The PET system detection data correction method of claim 1, wherein determining the effective event count rate of the first detector module from the effective event count rate of the second detector module comprises:

calculating a count rate mean value according to the effective event count rates of all the second detector modules;

and taking the count rate mean value as the effective event count rate of the first detector module.

6. The method for modifying detection data of a PET system of claim 1, wherein said obtaining a valid number of events acquired by each detector module comprises:

and counting the number of the first detector modules, and if the number of the first detector modules is greater than an alarm threshold value, carrying out alarm prompt.

7. The PET system detection data correction method of claim 1 wherein said determining an effective event count rate for a first detector module based on an effective event count rate for said second detector module comprises:

obtaining an effective event counting rate collected by a detector module;

replacing the effective event counting rate corresponding to the first detector module with the corrected effective event counting rate;

and reconstructing the image according to the corrected effective event counting rate to obtain a reconstructed image.

8. A PET system detection data correction apparatus, comprising:

the acquisition module is used for acquiring the effective event counting rate of each detector module of the PET system;

the position determining module is used for determining the position of a first detector module according to the effective event counting rate of each detector module, and the effective event counting rate of the first detector module is lower than a set threshold value;

a search module for using a detector module adjacent to the first detector module as a second detector module;

and the correction module is used for determining the effective event counting rate of the first detector module according to the effective event counting rate of the second detector module.

9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the PET system detection data correction method according to any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out a method of PET system detection data correction according to any one of claims 1 to 7.