Medical device calibration method and computer device
By utilizing natural radioactive particles to obtain background radiation data, the DOI function of PET equipment is automatically analyzed and calibrated, solving the problem of complex DOI function calibration in existing technologies and realizing a convenient and efficient calibration process.
Patent Information
- Application Number
- CN202411836814.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-12
- Publication Date
- 2026-06-12
AI Technical Summary
The DOI function calibration process of existing PET equipment is complex, requiring additional equipment and frequent on-site calibration, resulting in high operational complexity and cost.
Using background radiation data generated by natural radioactive particles such as marble, ambient air, and cosmic radiation, computer equipment is used to automatically analyze and obtain depth position calibration parameters for the calibration of medical equipment.
It reduces the complexity and cost of calibration, improves the convenience of calibration, reduces reliance on additional equipment and on-site operations, and enables automated calibration.
Smart Images
Figure CN122182085A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of medical device technology, and in particular to a medical device calibration method and a computer device. Background Technology
[0002] In the field of molecular imaging, especially in positron emission tomography (PET) equipment for small animals and the brain, detectors in PET equipment are equipped with depth of interaction (DOI) functionality in order to improve the spatial resolution of PET equipment.
[0003] For detectors with DOI functionality, the proper functioning of the DOI is particularly important for image quality. The attenuation of DOI data requires a shorter calibration cycle than other calibration parameters.
[0004] Currently, active calibration is mainly performed by setting up additional equipment such as radiation sources, mechanical moving platforms, reference frame detectors, and oscilloscopes, or requires engineers to frequently visit the site for calibration. However, these calibration methods make PET equipment calibration quite complex. Summary of the Invention
[0005] Therefore, it is necessary to provide a medical device calibration method and computer equipment that can reduce the complexity of device calibration, addressing the aforementioned technical problems.
[0006] In a first aspect, this application provides a medical device calibration method, comprising:
[0007] When the medical device meets the preset calibration conditions, the background radiation data from natural radioactive particles received by the detector in the medical device is obtained.
[0008] The background radiation data is analyzed to obtain the depth position calibration parameters for the current test.
[0009] The medical device is calibrated based on the current depth position calibration parameters.
[0010] In one embodiment, acquiring background radiation data from natural radioactive particles received by the detector in the medical device includes:
[0011] The energy window of the detector is determined based on the energy range of the radiation source in the medical device.
[0012] The detector is controlled to collect the radiation generated by the naturally radioactive particles based on the energy window in order to obtain the background radiation data.
[0013] In one embodiment, determining the energy window of the detector based on the energy range of the radiation source in the medical device includes:
[0014] The target width is determined based on the energy range and preset ratio of the radiation source.
[0015] The energy window is obtained by extending the target width to both sides of the energy range of the radiation source as the center.
[0016] In one embodiment, the analysis of the background radiation data to obtain the current depth position calibration parameters includes:
[0017] Integrating the background radiation data yields an integral curve;
[0018] The area corresponding to the integral curve is divided proportionally to obtain the depth position calibration parameters for the current iteration.
[0019] In one embodiment, the method further includes:
[0020] Obtain the previous calibration time corresponding to the previous depth position calibration parameters;
[0021] Based on the previous calibration time and the current time, determine whether the medical device meets the preset calibration conditions.
[0022] In one embodiment, determining whether the medical device meets the preset calibration conditions based on the previous calibration time and the current time includes:
[0023] If the difference between the previous calibration time and the current time is greater than a preset interval, the status information of the medical device within the preset time period is obtained.
[0024] If the status information indicates that the medical device is in an idle state, it is determined that the medical device meets the preset calibration conditions.
[0025] In one embodiment, the method further includes:
[0026] If an interrupt command is received from the user during the calibration of the medical device, the current calibration data will be cleared.
[0027] In one embodiment, the sources of the naturally radioactive particles include marble, ambient air, and cosmic radiation.
[0028] Secondly, this application also provides a medical device calibration apparatus, comprising:
[0029] The receiving module is used to acquire background radiation data from natural radioactive particles received by the detector in the medical device when the medical device meets the preset calibration conditions.
[0030] The analysis module is used to analyze the background radiation data to obtain the current depth position calibration parameters;
[0031] The calibration module is used to calibrate the medical device according to the current depth position calibration parameters.
[0032] Thirdly, this application also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to perform the following steps:
[0033] When the medical device meets the preset calibration conditions, the background radiation data from natural radioactive particles received by the detector in the medical device is obtained.
[0034] The background radiation data is analyzed to obtain the depth position calibration parameters for the current test.
[0035] The medical device is calibrated based on the current depth position calibration parameters.
[0036] Fourthly, this application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, performs the following steps:
[0037] When the medical device meets the preset calibration conditions, the background radiation data from natural radioactive particles received by the detector in the medical device is obtained.
[0038] The background radiation data is analyzed to obtain the depth position calibration parameters for the current test.
[0039] The medical device is calibrated based on the current depth position calibration parameters.
[0040] Fifthly, this application also provides a computer program product, including a computer program that, when executed by a processor, performs the following steps:
[0041] When the medical device meets the preset calibration conditions, the background radiation data from natural radioactive particles received by the detector in the medical device is obtained.
[0042] The background radiation data is analyzed to obtain the depth position calibration parameters for the current test.
[0043] The medical device is calibrated based on the current depth position calibration parameters.
[0044] Sixthly, this application also provides a positron emission tomography (PET) imaging device, which is used to send background radiation data to a computer device; the background radiation data is data from natural radioactive particles received by the detector in the PET device; the background radiation data is used to instruct the computer device to analyze the background radiation data to obtain the current depth position calibration parameters when the medical device meets preset calibration conditions; and to calibrate the PET device according to the current depth position calibration parameters.
[0045] The aforementioned medical device calibration method and computer equipment, under the condition that the medical device meets preset calibration conditions, acquire background radiation data received by the detector in the medical device from natural radioactive particles, analyze the background radiation data to obtain the current depth position calibration parameters, and calibrate the medical device based on the current depth position calibration parameters. In this embodiment, natural radioactive particles are used to generate radiation to obtain background radiation data. Using the background radiation data for medical device calibration eliminates the need for additional equipment such as radiation sources and the need to coordinate additional equipment with the medical device, reducing the cost and complexity of medical device calibration. Moreover, the automated calibration process eliminates the need for engineers to frequently visit the site to complete the calibration, improving the convenience of medical device calibration. Attached Figure Description
[0046] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the drawings used in the description of the embodiments of this application or related technologies will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.
[0047] Figure 1 This is a diagram illustrating the application environment of a medical device calibration method in one embodiment;
[0048] Figure 2 This is a flowchart illustrating a medical device calibration method in one embodiment;
[0049] Figure 3 This is a flowchart illustrating a method for acquiring background radiation data in one embodiment;
[0050] Figure 4 This is a flowchart illustrating a method for determining depth position calibration parameters in one embodiment;
[0051] Figure 5This is a flowchart illustrating a medical device calibration method in another embodiment;
[0052] Figure 6 This is a structural block diagram of a medical device calibration device in one embodiment. Detailed Implementation
[0053] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.
[0054] In medical devices, the stable operation of each detector unit is crucial for acquiring accurate image information. During routine operation, medical devices periodically and automatically check their status. If any abnormalities are detected or a certain period of use has been reached, it is necessary to contact an engineer for calibration.
[0055] For detectors with DOI (Depth of Indication) functionality, the proper functioning of the DOI is particularly critical to image quality. A system with DOI offset can experience a spatial resolution decrease of over 20%. Furthermore, for detectors with DOI functionality, the decay of DOI data can occur faster than other calibration parameters, requiring shorter calibration cycles. This necessitates frequent on-site DOI calibration by engineers. Typically, DOI calibration requires additional equipment such as positron emission tomography (PET) sources like the Ge68 or F18, a mechanical moving platform, a reference detector, and an oscilloscope. The calibration conditions are quite stringent, necessitating the development of control methods that integrate the original medical equipment with the additional equipment. Moreover, the calibration process requires space to accommodate these additional devices.
[0056] The medical device calibration method provided in this application embodiment is applied in an environment including a medical device, which includes computer equipment, detectors, data acquisition equipment, and communication control equipment, etc. The computer equipment can be used in applications such as... Figure 1 As shown, it could be a server, and its internal structure diagram can be as follows: Figure 1As shown, the computer device includes a processor, memory, input / output interfaces (I / O), and a communication interface. The processor, memory, and I / O interfaces are connected via a system bus, and the communication interface is also connected to the system bus via the I / O interfaces. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and a database. The internal memory provides the environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The database stores data related to medical device calibration. The I / O interfaces are used for exchanging information between the processor and external devices. The communication interface is used for communicating with external terminals via a network connection. When the computer program is executed by the processor, it implements a medical device calibration method. Optionally, the server can be a standalone physical server, a server cluster or distributed system consisting of multiple physical servers, or a cloud server providing cloud computing services.
[0057] Those skilled in the art will understand that Figure 1 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.
[0058] In one exemplary embodiment, such as Figure 2 As shown, a medical device calibration method is provided, which is applied to... Figure 1 The following explanation uses computer equipment as an example, including the following steps S201 to S203. Wherein:
[0059] S201, under the condition that the medical equipment meets the preset calibration conditions, acquire the background radiation data from natural radioactive particles received by the detector in the medical equipment.
[0060] Among them, medical equipment can be PET equipment; sources of natural radioactive particles include marble, ambient air, cosmic radiation, etc.
[0061] In this embodiment of the application, when the medical device meets the preset calibration conditions, the detector captures gamma photons generated by natural radioactive particles to obtain background radiation data.
[0062] In another possible implementation, since naturally occurring radioactive particles are diverse, the gamma photons produced cover various energy ranges. However, the radiation source in medical devices in practical applications is only located in one of these energy ranges. Therefore, the energy window for the detector to collect gamma photons can be determined based on the energy range of the radiation source in the medical device. The detector captures gamma photons of the corresponding energy range to obtain background radiation data.
[0063] Optionally, the computer device can first determine whether the medical device meets the preset calibration conditions, and if the medical device meets the preset calibration conditions, control the detector to capture gamma photons and obtain background radiation data from the detector in real time; or the background radiation data collected in advance can be stored in the storage medium of the computer device, and then determine whether the medical device meets the preset calibration conditions. When the medical device meets the preset calibration conditions, the pre-stored background radiation data can be obtained from the storage medium.
[0064] The count rate can be determined based on the size of the crystal on the detector; a higher count rate results in a shorter acquisition time. Optionally, the acquisition time can range from 2 to 6 hours.
[0065] S202, analyze the background radiation data to obtain the current depth position calibration parameters.
[0066] In this embodiment, the background radiation data can be integrated to obtain an integral curve. The area corresponding to the integral curve can be divided proportionally to achieve proportional division of the depth information of the crystal on the detector, thereby obtaining the current depth position calibration parameters of the detector.
[0067] In one possible implementation, the background radiation data can be input into a pre-defined calibration parameter prediction model to obtain the current depth position calibration parameters. Optionally, the calibration parameter prediction model can be a deep learning network such as a convolutional neural network, a depth belief network, and an encoder, or an algorithm such as principal component analysis.
[0068] S203, calibrate the medical device based on the current depth position calibration parameters.
[0069] In this embodiment, the current depth position calibration parameters and the current calibration time are stored in the computer device and the detector, replacing the previous depth position calibration parameters in the computer device and the detector, facilitating the computer device to proceed to the next round of calibration. During the scanning process in the medical device, after gamma photons are incident on the detector to obtain the current DOI information, the current DOI information is calibrated using the current depth position calibration parameters to obtain the target DOI information, thereby achieving the calibration of the medical device.
[0070] In the aforementioned medical device calibration method, when the medical device meets preset calibration conditions, background radiation data from natural radioactive particles received by the detector in the medical device is acquired. This background radiation data is analyzed to obtain the current depth position calibration parameters, and the medical device is calibrated based on these parameters. In this embodiment, natural radioactive particles are used to generate radiation to obtain background radiation data. Using this data for medical device calibration eliminates the need for additional equipment such as radiation sources or for coordinating additional equipment with the medical device, reducing calibration costs and operational complexity. Furthermore, the automated calibration process eliminates the need for frequent on-site visits by engineers, improving the convenience of medical device calibration.
[0071] Figure 3 This is a flowchart illustrating a method for acquiring background radiation data in one embodiment, as shown below. Figure 3 As shown, this application embodiment relates to a possible implementation of how to obtain background radiation data from natural radioactive particles received by a detector in a medical device, including the following steps:
[0072] S301, determine the detector's energy window based on the energy range of the radiation source in the medical equipment.
[0073] In this embodiment, the energy range of the radiation source can be directly used as the energy window of the detector. Alternatively, a preset energy width can be extended to one side of the energy range of the radiation source.
[0074] Among them, determining the detector's energy window based on the energy range of the radiation source in the medical device includes: determining the target width based on the energy range of the radiation source and a preset ratio, and extending the target width to both sides with the energy range of the radiation source as the center to obtain the energy window.
[0075] In this embodiment, since the energy range of naturally occurring radioactive particles includes multiple ranges, the energy window of the detector can be determined based on the energy range of the radiation source in the medical device. No specific requirements are placed on the detector; that is, the crystal in the detector may or may not include reflective elements. For example, the energy range of the radiation source in a PET device is typically 511 keV. The detector's energy window can be determined by using 511 keV as a reference and extending outwards by 15% of 511 keV on both sides.
[0076] S302 controls the detector to collect radiation from naturally occurring radioactive particles based on an energy window in order to obtain background radiation data.
[0077] In this embodiment, the computer-controlled detector collects the rays produced by naturally radioactive particles based on an energy window, collecting only the rays within the energy window range, thereby obtaining background radiation data.
[0078] In this embodiment, the energy window of the detector is determined according to the energy range of the radiation source in the medical device, and the detector is controlled to collect radiation generated by natural radioactive particles based on the energy window to obtain background radiation data. This is more in line with the actual application of medical devices, improves the accuracy of background radiation data acquisition, and lays the foundation for subsequent determination of depth position calibration parameters based on background radiation data.
[0079] Figure 4 This is a flowchart illustrating a method for determining depth position calibration parameters in one embodiment, as shown below. Figure 4 As shown, this application embodiment relates to a possible implementation of how to analyze background radiation data to obtain the current depth position calibration parameters, including the following steps:
[0080] S401, integrate the background radiation data to obtain the integral curve.
[0081] In this embodiment, the proportion of event data on each of the two detectors is determined based on event data (excluding timestamp information, etc.) from the background radiation data. For each detector, the proportion of event data obtained each time is integrated to obtain the integral curve corresponding to that detector. For example, the signal corresponding to a γ photon of the background radiation on detector 1 is PMT1, and the signal corresponding to it on detector 2 is PMT2. The depth information of this event can be represented as PMT1 / (PMT1+PMT2) (the depth information of the photon in the detector crystal). For the γ photons captured by the detector within a certain period of time, the depth information of these photons in the crystal is integrated to obtain the integral curve.
[0082] S402, divide the area corresponding to the integral curve into equal proportions to obtain the depth position calibration parameters for the current iteration.
[0083] In this embodiment of the application, by dividing the area corresponding to the integral curve into equal proportions, the depth of the crystal on the detector can be divided into equal proportions, thereby obtaining the current depth position calibration parameters of the detector.
[0084] In this embodiment, the background radiation data is integrated to obtain an integral curve. The area corresponding to the integral curve is divided proportionally to obtain the depth position calibration parameters for the current iteration. Since the depth effect information of natural radioactive particles is completely random, dividing the area corresponding to the integral curve proportionally achieves a proportional division of the depth of the detector crystal. This takes into account the depth information of various natural radioactive particles on the crystal, making the obtained depth position calibration parameters more accurate.
[0085] In one embodiment, the method further includes: obtaining the previous calibration time corresponding to the previous depth position calibration parameters; and determining whether the medical device meets the preset calibration conditions based on the previous calibration time and the current time.
[0086] In this embodiment, the computer device automatically reads the calibration information stored from the last calibration and obtains the previous calibration time from the last calibration information. If the difference between the current time and the previous calibration time is greater than a preset interval, the medical device is considered to meet the preset calibration conditions.
[0087] In one possible implementation, if the difference between the current time and the previous calibration time is greater than a preset interval, the status information of the medical device within the preset interval is obtained; if the status information of the medical device within the preset interval is an idle state, it is determined that the medical device meets the preset calibration conditions.
[0088] In this embodiment, the previous calibration time corresponding to the previous depth position calibration parameters is obtained; based on the previous calibration time and the current time, it is determined whether the medical device meets the preset calibration conditions. In this embodiment, the determination of whether to trigger the calibration conditions of the medical device based on the previous calibration time and the current time allows the computer device to automatically monitor the medical device after it is turned on, thereby achieving periodic calibration of the medical device and improving the automation level of medical device calibration.
[0089] In one embodiment, determining whether a medical device meets preset calibration conditions based on the previous calibration time and the current time includes: if the difference between the previous calibration time and the current time is greater than a preset interval, obtaining the status information of the medical device within a preset time period; and if the status information indicates that the medical device is in an idle state, determining that the medical device meets the preset calibration conditions.
[0090] In this embodiment of the application, if the difference between the previous calibration time and the current time is greater than a preset interval, the status information of the medical device within the preset time is obtained; for example, if the difference between the previous calibration time and the current time is greater than the preset interval, it is determined at 24:00 on the same day whether anyone has used the medical device for scanning. If the medical device has not been used for more than 2 hours, automatic calibration is started and the calibration process is displayed on the screen.
[0091] Furthermore, if an interrupt command is received from the user during the calibration of medical equipment, the current calibration data is cleared.
[0092] In this embodiment of the application, if a user needs to operate the medical device to perform a scan after automatic calibration has started, the calibration can be turned off according to the prompts on the interface. The medical device will delete the incomplete calibration data and will not record this calibration until the next trigger.
[0093] In this embodiment, when the difference between the previous calibration time and the current time is greater than a preset interval, the status information of the medical device within the preset time is obtained; when the status information indicates that the medical device is in an idle state, it is determined that the medical device meets the preset calibration conditions, which improves the automation level of medical device calibration while ensuring the reliability and stability of medical device calibration.
[0094] Figure 5 This is a flowchart illustrating a medical device calibration method in another embodiment, such as... Figure 5 As shown, this includes the following steps:
[0095] S501, obtain the previous calibration time corresponding to the previous depth position calibration parameters;
[0096] S502, if the difference between the previous calibration time and the current time is greater than the preset interval, obtain the status information of the medical device within the preset time.
[0097] S503, when the status information indicates that the medical device is in an idle state, determine that the medical device meets the preset calibration conditions;
[0098] S504, under the condition that the medical equipment meets the preset calibration conditions, the energy window of the detector is determined according to the energy range of the radiation source in the medical equipment;
[0099] S505 controls the detector to collect radiation from naturally occurring radioactive particles based on an energy window in order to obtain background radiation data.
[0100] S506, Integrate the background radiation data to obtain the integral curve;
[0101] S507, divide the area corresponding to the integral curve into equal proportions to obtain the depth position calibration parameters for the current iteration;
[0102] S508 calibrates the medical device based on the current depth position calibration parameters;
[0103] S509: If an interrupt command is received from the user, the current calibration data is cleared.
[0104] In this embodiment, natural radioactive particles are used to generate radiation to obtain background radiation data. The background radiation data is then used to calibrate medical equipment. This eliminates the need for additional equipment such as radiation sources or to integrate additional equipment with the medical equipment, reducing both the cost and complexity of medical equipment calibration. Furthermore, the automated calibration process eliminates the need for engineers to frequently visit the site, improving the convenience of medical equipment calibration.
[0105] It should be understood that although the steps in the flowcharts of the above embodiments are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the above embodiments may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.
[0106] Based on the same inventive concept, this application also provides a medical device calibration apparatus for implementing the medical device calibration method described above. The solution provided by this apparatus is similar to the implementation described in the above method; therefore, the specific limitations in one or more embodiments of the medical device calibration apparatus provided below can be found in the limitations of the medical device calibration method described above, and will not be repeated here.
[0107] In one exemplary embodiment, such as Figure 6 As shown, a medical device calibration apparatus is provided, comprising: a receiving module 11, an analysis module 12, and a calibration module 13, wherein:
[0108] The receiving module 11 is used to acquire background radiation data from natural radioactive particles received by the detector in the medical device when the medical device meets the preset calibration conditions.
[0109] Analysis module 12 is used to analyze the background radiation data to obtain the current depth position calibration parameters;
[0110] The calibration module 13 is used to calibrate the medical device based on the current depth position calibration parameters.
[0111] In one embodiment, the receiving module 11 is specifically used to determine the energy window of the detector based on the energy range of the radiation source in the medical device; and to control the detector to collect radiation generated by naturally radioactive particles based on the energy window to obtain background radiation data.
[0112] In one embodiment, the receiving module 11 is specifically used to determine the target width based on the energy range of the radiation source and a preset ratio, and extend the target width to both sides with the energy range of the radiation source as the center to obtain an energy window.
[0113] In one embodiment, the analysis module 12 is specifically used to integrate the background radiation data to obtain an integral curve; and to divide the area corresponding to the integral curve into equal proportions to obtain the depth position calibration parameters for the current iteration.
[0114] In one embodiment, the medical device calibration apparatus further includes:
[0115] The acquisition module is used to acquire the previous calibration time corresponding to the previous depth position calibration parameters;
[0116] The determination module is used to determine whether the medical device meets the preset calibration conditions based on the previous calibration time and the current time.
[0117] In one embodiment, the determining module is specifically configured to acquire the status information of the medical device within a preset time period when the difference between the previous calibration time and the current time is greater than a preset interval; and to determine that the medical device meets the preset calibration conditions when the status information indicates that the medical device is in an idle state.
[0118] In one embodiment, the medical device calibration apparatus further includes:
[0119] The clearing module is used to clear the current calibration data if an interrupt command is received from the user during the calibration of medical equipment.
[0120] In one embodiment, the sources of naturally occurring radioactive particles include marble, ambient air, and cosmic radiation.
[0121] Each module in the aforementioned medical device calibration device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the computer device's memory as software, so that the processor can call and execute the corresponding operations of each module.
[0122] In one exemplary embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of any of the above method embodiments.
[0123] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the steps of any of the above method embodiments.
[0124] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps of any of the above method embodiments.
[0125] In one embodiment, a positron emission tomography (PET) device is provided, which is used to send background radiation data to a computer device. The background radiation data is data from naturally occurring radioactive particles received by the detector in the PET device. The background radiation data is used to instruct the computer device to analyze the background radiation data and obtain the current depth position calibration parameters when the medical device meets preset calibration conditions. The PET device is then calibrated based on the current depth position calibration parameters.
[0126] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.
[0127] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, artificial intelligence (AI) processors, etc., and are not limited to these.
[0128] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.
[0129] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.
Claims
1. A method for calibrating medical equipment, characterized in that, The method includes: When the medical device meets the preset calibration conditions, the background radiation data from natural radioactive particles received by the detector in the medical device is obtained. The background radiation data is analyzed to obtain the depth position calibration parameters for the current test. The medical device is calibrated based on the current depth position calibration parameters.
2. The method according to claim 1, characterized in that, The acquisition of background radiation data from natural radioactive particles received by the detector in the medical device includes: The energy window of the detector is determined based on the energy range of the radiation source in the medical device. The detector is controlled to collect the radiation generated by the naturally radioactive particles based on the energy window in order to obtain the background radiation data.
3. The method according to claim 2, characterized in that, Determining the energy window of the detector based on the energy range of the radiation source in the medical device includes: The target width is determined based on the energy range and preset ratio of the radiation source. The energy window is obtained by extending the target width to both sides of the energy range of the radiation source as the center.
4. The method according to claim 1, characterized in that, The analysis of the background radiation data to obtain the current depth position calibration parameters includes: Integrating the background radiation data yields an integral curve; The area corresponding to the integral curve is divided proportionally to obtain the depth position calibration parameters for the current iteration.
5. The method according to claim 1, characterized in that, The method further includes: Obtain the previous calibration time corresponding to the previous depth position calibration parameters; Based on the previous calibration time and the current time, determine whether the medical device meets the preset calibration conditions.
6. The method according to claim 5, characterized in that, The step of determining whether the medical device meets the preset calibration conditions based on the previous calibration time and the current time includes: If the difference between the previous calibration time and the current time is greater than a preset interval, the status information of the medical device within the preset time period is obtained. If the status information indicates that the medical device is in an idle state, it is determined that the medical device meets the preset calibration conditions.
7. The method according to any one of claims 1-6, characterized in that, The method further includes: If an interrupt command is received from the user during the calibration of the medical device, the current calibration data will be cleared.
8. The method according to any one of claims 1-6, characterized in that, The sources of the naturally occurring radioactive particles include marble, ambient air, and cosmic radiation.
9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 6.
10. A positron emission tomography (PET) imaging device, characterized in that, The positron emission tomography (PET) device is used to send background radiation data to a computer device; the background radiation data is data from natural radioactive particles received by the detector in the PET device; the background radiation data is used to instruct the computer device to analyze the background radiation data and obtain the current depth position calibration parameters when the medical device meets the preset calibration conditions; and to calibrate the PET device according to the current depth position calibration parameters.