Boron concentration monitoring method, computer device and storage medium

Abstract

The present application relates to the field of medical imaging technology and discloses a boron concentration monitoring method, computer equipment, and storage medium for use in a Compton camera system. The method comprises: when a first detector and a second detector of a Compton camera group are both at a first distance from a monitored object, performing a first imaging of the monitored object using the first detector and the second detector to obtain first imaging data in a first direction; controlling the first detector and the second detector to move in the first direction, respectively, and performing a second imaging when the first detector and the second detector are both at a second distance from the monitored object to obtain second imaging data in the first direction; and finally, monitoring the boron concentration of the monitored object based on the first imaging data and the second imaging data. Thus, not only is the error of the single-shot imaging method corrected, but dynamic multi-distance information is also utilized to improve monitoring accuracy, thereby enhancing the real-time and accuracy of boron concentration monitoring.

Description

Technical Field

[0001] The present application relates to the field of medical imaging technology, and in particular to a boron concentration monitoring method, computer equipment, and storage medium. Background Art

[0002] Boron Neutron Capture Therapy (BNCT) is a cutting-edge and highly effective cancer treatment technology. Its core advantage lies in its ability to precisely irradiate tumor cells, thereby effectively killing diseased cells.

[0003] However, the methods used in related technologies to measure boron concentration during BNCT still have limitations, and there is an urgent need for a boron concentration monitoring method that can achieve dynamic, high-precision spatial resolution. Summary of the Invention

[0004] This application aims to solve, at least to some extent, one of the technical problems in the related art. To this end, this application proposes a boron concentration monitoring method, computer device, and storage medium. The main technical solutions adopted in this application include:

[0005] In a first aspect, an embodiment of the present application provides a boron concentration monitoring method, which is applied to a Compton camera system, wherein the Compton camera system includes a first Compton camera group, and the first Compton camera group includes a first detector and a second detector arranged relative to and parallel to each other in a first direction; the method includes: when the first detector and the second detector are both at a first distance from the monitored object, imaging the monitored object for a first time by the first detector and the second detector to obtain first imaging data in the first direction; controlling the first detector and the second detector to move respectively in the first direction, and when the first detector and the second detector are both at a second distance from the monitored object, imaging the monitored object for a second time by the first detector and the second detector to obtain second imaging data in the first direction; and monitoring the boron concentration of the monitored object based on the first imaging data and the second imaging data.

[0006] Optionally, controlling the first detector and the second detector to move respectively in the first direction includes: controlling the first detector and the second detector to approach the monitored object in the first direction and move to a position at a second distance from the monitored object; wherein the second distance is less than the first distance; or controlling the first detector and the second detector to move away from the monitored object in the first direction and move to a position at a second distance from the monitored object; wherein the second distance is greater than the first distance.

[0007] Optionally, the boron concentration of the monitored object is monitored based on the first imaging data and the second imaging data, including: performing imaging trend analysis based on the first imaging data and the second imaging data to obtain imaging trend data; correcting the first imaging data or the second imaging data based on the imaging trend data to obtain corrected imaging data, so as to use the corrected imaging data to monitor the boron concentration of the monitored object.

[0008] Optionally, the Compton camera system also includes a second Compton camera group, and the second Compton camera group includes a third detector and a fourth detector arranged relative to and parallel to each other in the second direction; the first direction is perpendicular to the second direction; the method also includes: during the first imaging, the third detector and the fourth detector are both at a first distance from the monitored object, and the monitored object is imaged by the third detector and the fourth detector to obtain third imaging data in the second direction; during the second imaging, the third detector and the fourth detector are both at a second distance from the monitored object, and the monitored object is imaged by the third detector and the fourth detector to obtain fourth imaging data in the second direction; accordingly, the boron concentration of the monitored object is monitored based on the first imaging data and the second imaging data, including: monitoring the boron concentration of the monitored object based on the first imaging data, the second imaging data, the third imaging data and the fourth imaging data.

[0009] Optionally, the first Compton camera group and the second Compton camera group move toward the monitored object, and after moving to an allowed distance threshold, the first Compton camera group and the second Compton camera group move away from the monitored object.

[0010] Optionally, the first detector, the second detector, the third detector and the fourth detector move synchronously.

[0011] Optionally, while the first detector and the second detector move toward each other at a preset rate in the first direction, the third detector and the fourth detector also move toward each other at a preset rate in the second direction; or while the first detector and the second detector move away from each other at a preset rate in the first direction, the third detector and the fourth detector also move away from each other at a preset rate in the second direction.

[0012] Optionally, if the second distance is smaller than the first distance, the boron concentration of the monitored object is monitored based on the first imaging data, the second imaging data, the third imaging data and the fourth imaging data, including: performing imaging trend analysis based on the first imaging data and the second imaging data to obtain first imaging trend data; correcting the second imaging data using the first imaging trend data to obtain first corrected imaging data; performing imaging trend analysis based on the third imaging data and the fourth imaging data to obtain second imaging trend data; correcting the fourth imaging data using the second imaging trend data to obtain second corrected imaging data; and performing boron concentration monitoring on the monitored object according to the first corrected imaging data and the second corrected imaging data.

[0013] In a second aspect, an embodiment of the present application provides a boron concentration monitoring device, which is applied to a Compton camera system, wherein the Compton camera system includes a first Compton camera group, and the first Compton camera group includes a first detector and a second detector arranged relative to and parallel to each other in a first direction; the device includes: a first imaging module, which is used to perform a first imaging of the monitored object through the first detector and the second detector when the first detector and the second detector are both at a first distance from the monitored object, so as to obtain first imaging data in the first direction; a second imaging module, which is used to control the first detector and the second detector to move respectively in the first direction, and perform a second imaging of the monitored object through the first detector and the second detector when the first detector and the second detector are both at a second distance from the monitored object, so as to obtain second imaging data in the first direction; and a concentration monitoring module, which is used to monitor the boron concentration of the monitored object based on the first imaging data and the second imaging data.

[0014] In a third aspect, the present application further provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of any of the above methods when executing the computer program.

[0015] In a fourth aspect, the present application also provides a computer-readable storage medium having a computer program stored thereon, which implements the steps of any of the above methods when the computer program is executed by a processor.

[0016] In a fifth aspect, the present invention provides a computer program product, comprising a computer program, which implements the steps of any of the above methods when executed by a processor.

[0017] In this embodiment, by moving the detector in the same direction and acquiring imaging data at different distances, the imaging errors caused by the near-field approximation or depth resolution limitations of a Compton camera at a single fixed distance are overcome, thereby improving the reliability of the imaging data. Ultimately, by utilizing the dynamic distance information contained in the two imaging data sets, dynamic, real-time boron concentration monitoring of the monitored object is performed while ensuring optimal detection efficiency and good spatial resolution, thereby improving monitoring accuracy and ultimately obtaining highly accurate boron concentration monitoring results. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the specific implementation methods of the present application or the technical solutions in the prior art, the following is a brief introduction to the drawings required for use in the specific implementation methods or the description of the prior art. Obviously, the drawings described below are some implementation methods of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0019] Figure 1a This is a flow chart of a boron concentration monitoring method provided according to one embodiment of the present application;

[0020] Figure 1b A design diagram of a Compton camera system provided according to one embodiment of the present application;

[0021] Figure 1c A structural diagram of a detector provided according to one embodiment of the present application;

[0022] Figure 2 This is a flow chart of a boron concentration monitoring method provided according to another embodiment of the present application;

[0023] Figure 3a This is a flow chart of a boron concentration monitoring method provided according to another embodiment of the present application;

[0024] Figure 3b A design diagram of a Compton camera system according to another embodiment of the present application;

[0025] Figure 3c A schematic diagram of the movement of a detector provided according to one embodiment of the present application;

[0026] Figure 4 This is a flow chart of a boron concentration monitoring method provided according to another embodiment of the present application;

[0027] Figure 5 1 is a structural block diagram of a boron concentration monitoring device according to one embodiment of the present application;

[0028] Figure 6 The figure is a diagram of the internal structure of a computer device according to one embodiment of the present application. DETAILED DESCRIPTION

[0029] To make the purpose, technical solutions, and advantages of the embodiments of the present application more clear, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of this application.

[0030] Boron Neutron Capture Therapy (BNCT) is a cutting-edge and highly effective cancer treatment technology. Its core advantage lies in its ability to precisely target tumor cells with radiation, effectively killing diseased cells. However, despite BNCT's impressive therapeutic efficacy, real-time monitoring of local boron dose remains a key challenge hindering its further development. Currently, seven main methods are used to measure boron concentration during BNCT, but each has limitations. For example, while positron emission tomography (PET) can provide a reference value for boron concentration, it lacks real-time imaging. Prompt gamma-ray spectrometry, while capable of real-time imaging, presents significant challenges in measuring uneven boron concentrations. Several other methods also have their own advantages and disadvantages, but most require offline measurement. Therefore, the development of novel online boron concentration monitoring technologies is urgently needed.

[0031] Furthermore, in BNCT, proton-gamma camera single photon emission computed tomography (PG-SPECT) is used as an online boron concentration monitoring method. It measures the 0.478 MeV gamma rays (γ-rays) produced by the reaction of neutrons with boron from multiple angles, thereby enabling three-dimensional reconstruction of the boron dose. However, the use of a heavy collimator in PG-SPECT systems significantly reduces detection efficiency and spatial resolution. Furthermore, PG-SPECT can only measure boron dose, not directly boron concentration, making its value as a reference for final boron concentration assessments unproven. Subsequently, unlike traditional PG-SPECT detection systems with mechanical collimators, the Compton camera provides an innovative solution. Its collimator-free design, high energy resolution, and real-time reconstruction of single photon energy make it a promising candidate for future application in PG-SPECT systems and demonstrates promising application prospects. The introduction of the Compton camera may further enhance the performance of the PG-SPECT system, especially in real-time monitoring and image reconstruction, providing more precise and efficient support for BNCT treatment.

[0032] Real-time monitoring and precise measurement of boron concentration in BNCT requires accurate measurement of the source intensity and contour. This requires a very close distance between the Compton camera and the source, a process known as the "near-field approximation." While this approximation can provide the three-dimensional position of the radiation source, the three-dimensional coordinate relationship of points on the cone is difficult to express analytically. Furthermore, near-field approximation errors are amplified by factors such as the three-dimensional shape and the imaging mechanism of the Compton camera.

[0033] Based on this, according to an embodiment of the present application, a boron concentration monitoring method, a computer device and a storage medium embodiment are provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0034] In this embodiment, a boron concentration monitoring method is provided, which is applied to a Compton camera system. The Compton camera system includes a first Compton camera group, which includes a first detector and a second detector arranged opposite and parallel to each other in a first direction. Figure 1a : is a flow chart of a boron concentration monitoring method according to an embodiment of the present application, comprising the following steps:

[0035] S110 : When the first detector and the second detector are both at a first distance from the monitored object, the monitored object is imaged for the first time by the first detector and the second detector to obtain first imaging data in a first direction.

[0036] The monitoring object may refer to the target radiation source to be monitored in boron neutron capture therapy, or referred to as the radiation source area. For example, the monitoring object may be a source area to be measured containing boron-10. Further, if Figure 1b As shown, a first Compton camera group 10 may be arranged around the monitored object 101 , which includes two Compton cameras, namely a first detector 103 and a second detector 105 , for capturing gamma ray signals emitted by the monitored object.

[0037] Optionally, the structures of the first detector and the second detector may be as follows: Figure 1c As shown, each detector consists of a scattering detector and an absorption detector. The scattering detector can be made of silicon (Si), with 10×10 pixels, each measuring 0.2 cm×0.2 cm, and a thickness of 0.2 cm. The absorption detector can be made of cadmium zinc telluride (CdZnTe, CZT), also with 10×10 pixels, each measuring 0.2 cm×0.2 cm, but with a thickness of 0.5 cm. Furthermore, the spacing between the scattering and absorption detectors can be set to 5 cm. This design allows the detector to effectively record Compton scattering events of gamma rays and generate corresponding imaging data.

[0038] It's important to note that the Compton camera's imaging result for a single gamma-ray event is a reconstructed cone that's narrow at the top and wide at the bottom (with the cone's apex at the detector and its angle determined by the scattering angle). This means that when a single Compton camera detects a gamma-ray event, it can only determine its origin at a point on the reconstructed cone, but cannot determine the specific depth of that point within the reconstructed cone. This inherent depth uncertainty of a single Compton event leads to single-point ambiguity.

[0039] Based on this, please continue to refer to Figure 1b The first detector 103 and the second detector 105 can be symmetrically arranged on both sides of the monitored object 101, and the first detector 103 and the second detector 105 can be arranged relative to and in parallel in the first direction.

[0040] The first direction may be a reference direction determined when arranging the detectors of the first Compton camera group 10. The first direction may be a direction perpendicular to the imaging plane of the first detector 103 or the imaging plane of the second detector 105. For example, please continue to refer to Figure 1b, taking the first direction as the horizontal direction and the monitored object as the origin, the first detector 103 can be arranged on the side of the horizontal positive direction. Conversely, the second detector 105 can be arranged on the side of the horizontal negative direction to provide detection data at an angle opposite to that of the first detector 103.

[0041] It can be understood that by arranging two opposing detectors to simultaneously observe the same gamma photon event, each detector will produce a reconstruction cone. These two reconstruction cones will intersect in three-dimensional space, and the true origin of the gamma photon can be determined based on the location of their intersection. In other words, by utilizing the spatial geometric constraints of multiple perspectives, the blurred reconstruction cone surface of a single detector is "compressed" to its intersection point or line, greatly improving depth and spatial resolution and eliminating depth-direction imaging errors.

[0042] Furthermore, when the first detector and the second detector are both at a first distance from the monitored object, the monitored object is imaged for the first time by the first detector and the second detector to obtain first imaging data in a first direction.

[0043] The first distance may refer to a pre-set initial vertical spacing between the imaging center of the detector and the geometric center of the monitored object. For example, the first distance may be 25 cm to ensure that both the first detector and the second detector can cover the complete field of view of the monitored object, i.e., the target radiation source, and to avoid gamma-ray flux saturation due to a too close distance or resolution degradation due to a too far distance.

[0044] Subsequently, with both the first detector and the second detector at a first distance from the monitored object, a first imaging operation is performed to obtain first imaging data. The first imaging data may be three-dimensional imaging data containing energy, position, and intensity information of a gamma-ray event at a first distance in a first direction. Specifically, the 0.478 MeV characteristic gamma rays released by the monitored object after being irradiated by the neutron beam are synchronously captured by the first and second detectors, and the corresponding Compton scattering events are recorded. The first and second detectors can then reconstruct the events based on the collected data, calculate the conical trajectory using the Compton scattering formula, and preliminarily locate the spatial distribution of the target radiation source, thereby generating the first imaging data at the first distance in the first direction.

[0045] S120, controlling the first detector and the second detector to move respectively in the first direction, and when the first detector and the second detector are both at a second distance from the monitored object, imaging the monitored object for a second time by the first detector and the second detector to obtain second imaging data in the first direction.

[0046] Specifically, after completing the first imaging, the Compton camera system can control the first and second detectors to move synchronously along a first direction until the first and second detectors are both at a second distance from the monitored object. The second distance can also refer to a predetermined vertical distance between the imaging center of the detector and the geometric center of the monitored object.

[0047] It should be noted that the second distance can be greater than or less than the first distance. When the second distance is less than the first distance, the operation of controlling the first detector and the second detector to move separately in the first direction corresponds to controlling the first detector and the second detector to move closer to the monitored object in the first direction. Specifically, after the first imaging, the first detector and the second detector can be controlled to move synchronously toward each other to ensure that the vertical distance between the two detectors and the center of the monitored object is synchronously reduced by an equal distance. For example, when the first direction is horizontal, and the monitored object is also used as the coordinate origin, if the first distance is 25 cm, the first detector is controlled to move synchronously inward by 0.1 cm in the horizontal negative direction and the second detector in the horizontal positive direction, so that the distance between the two and the monitored object is shortened to 24.9 cm. This 24.9 cm can be used as the second distance. After the movement, the first detector and the second detector will be at a position where they are both 24.9 cm (the second distance) away from the monitored object.

[0048] In contrast, when the second distance is greater than the first distance, the operation of controlling the first detector and the second detector to move separately in the first direction corresponds to controlling the first detector and the second detector to move away from the monitored object in the first direction. Specifically, after completing the first imaging, the first detector and the second detector can be controlled to move away from each other synchronously to ensure that the vertical distances between the two detectors and the center of the monitored object increase synchronously and equidistantly. For example, when the first direction is horizontal, and the monitored object is also used as the coordinate origin, if the first distance is 24.9 cm, the first detector is controlled to move outward synchronously by 0.1 cm in the horizontal positive direction and the second detector in the horizontal negative direction, so that the distance between the two and the monitored object increases to 25 cm. This 25 cm can be used as the second distance. After the movement, the first detector and the second detector will eventually be at a position 25 cm (the second distance) away from the monitored object.

[0049] Furthermore, when the first detector and the second detector are both at a second distance from the monitored object, the monitored object is imaged a second time by the first detector and the second detector to obtain second imaging data in the first direction.

[0050] Similarly, gamma rays released from the monitored object after neutron beam irradiation are synchronously captured by the first and second detectors, and the corresponding Compton scattering events are recorded. Subsequently, the first and second detectors can reconstruct the events based on the collected data to generate second imaging data at a second distance in the first direction. This second imaging data can be three-dimensional imaging data containing energy, position, and intensity information of the gamma ray event at the second distance in the first direction.

[0051] S130 , monitoring the boron concentration of the monitoring object based on the first imaging data and the second imaging data.

[0052] It should be noted that due to the conical nature of Compton cameras, when multiple gamma-ray events at different depths are imaged simultaneously, the cones of deep events have a larger base radius and cover a wider area, while shallow events have a smaller base radius and cover a more concentrated area. This can lead to the cones of multiple events intersecting in space. However, because the reconstruction algorithm cannot distinguish between points at different depths on the cone and assumes that every point on the cone is equally likely, when the reconstruction algorithm is used to reconstruct the image results, the wide cones of many deep events will overlap with the narrow cones of shallow events in the area near the detector (near the Compton camera), resulting in a false increase in signal density. Specifically, because the algorithm mistakenly interprets this overlapping area as having extremely high signal density near the detector, it reconstructs a false hotspot, or artifact, at that location, potentially obscuring or blurring the location of the actual target radiation source (the monitored object). This is known as a forward motion artifact or near-field artifact.

[0053] Furthermore, to overcome the artifact problem, the first imaging data and the second imaging data obtained by imaging at different distances can be used to analyze the trend of signal change with distance, distinguish between real radiation source signals and artifact signals, monitor the boron concentration of the monitored object, and obtain high-precision boron concentration monitoring results.

[0054] Specifically, the first imaging data is compared with the second imaging data and three-dimensionally reconstructed and analyzed. Since the three-dimensional reconstructed position of the real monitored object will converge to a point relatively stably when the detector approaches (the movement amplitude is small, and the direction is random or irregular). Correspondingly, when the detector approaches, the wide cone that originally caused the overlap becomes narrower, the overlapping effect is weakened, and the false hotspot is pushed to its more real deep position. In other words, the reconstructed position of the artifact will show a clear reverse movement trend, that is, it will move significantly away from the detector and in a deeper direction. Furthermore, by analyzing and comparing the information contained in the first imaging data and the second imaging data, the artifact signal can be analyzed and identified, and the imaging data can be reversely corrected, thereby significantly reducing the artifact error, restoring the spatial distribution of the real depth information, and ultimately obtaining high-precision boron concentration monitoring results.

[0055] In this embodiment, by moving the detector in the same direction and acquiring imaging data at different distances, the imaging errors caused by the near-field approximation or depth resolution limitations of a Compton camera at a single fixed distance are overcome, thereby improving the reliability of the imaging data. Ultimately, by utilizing the dynamic distance information contained in the two imaging data sets, dynamic, real-time boron concentration monitoring of the monitored object is performed while ensuring optimal detection efficiency and good spatial resolution, thereby improving monitoring accuracy and ultimately obtaining highly accurate boron concentration monitoring results.

[0056] In some embodiments, please refer to the attached Figure 2 , performing boron concentration monitoring on a monitoring object based on the first imaging data and the second imaging data, including:

[0057] S210 , performing imaging trend analysis based on the first imaging data and the second imaging data to obtain imaging trend data.

[0058] Among them, the imaging trend data may refer to a convergence trend vector that quantifies the ratio of the signal depth in the imaging data to the change in the detector distance, that is, the vector by which the imaging result converges to the true position when the distance between the detector and the monitored object changes. Exemplarily, the imaging trend data may include the moving direction and movement amplitude of each suspected target radiation source signal point to help distinguish the target radiation source from the artifact. Specifically, first, based on the first imaging data and the second imaging data, the signal points in the two sets of imaging data are paired, that is, the same gamma ray event in the two sets of imaging data is matched by energy and spatial proximity. Subsequently, the depth change and distance change of each matching signal point are calculated, and the change pattern of its position is analyzed to obtain the convergence trend vector of the change direction, that is, the imaging trend data.

[0059] S220 , correcting the first imaging data or the second imaging data based on the imaging trend data to obtain corrected imaging data, and using the corrected imaging data to monitor the boron concentration of the monitored object.

[0060] The corrected imaging data may refer to high-precision three-dimensional imaging data obtained by dynamically correcting the first or second imaging data obtained from the original imaging. Specifically, due to the imaging characteristics of BNCT, imaging accuracy improves when the detector approaches the monitored object. Therefore, when the first distance is greater than the second distance, the second imaging data is generally more accurate than the first imaging data. Therefore, in this case, the second imaging data can be updated and corrected based on the imaging trend data to obtain corrected imaging data. Conversely, when the first distance is less than the second distance, the first imaging data is generally more accurate than the second imaging data. Therefore, in this case, the first imaging data can be updated and corrected based on the imaging trend data to obtain corrected imaging data. For example, let the first imaging data be I1 and the second imaging data be I2. Imaging trend analysis of I1 and I2 can be performed to obtain imaging trend data Q1. In this case, if the first distance is greater than the second distance, that is, the accuracy of I1 is lower than that of I2, I2 is corrected using the imaging trend data Q1. Conversely, if the first distance is less than the second distance, that is, the accuracy of I1 is higher than that of I2, I1 is corrected using the imaging trend data Q1.

[0061] It should be noted that, assuming the first distance is greater than the second distance, the 3D reconstructed position of the actual monitored object will converge relatively stably to a single point (with small movements and random or irregular directions) as the detector approaches. Correspondingly, as the detector approaches, the wide cone of overlap that originally caused the artifact narrows, weakening the overlap effect and pushing the false hotspot toward its true deeper location. This means that the reconstructed position of the artifact will exhibit a clear trend of reverse movement. Therefore, before correcting the first or second imaging data based on imaging trend data, the imaging trend data can be used to classify the signal points contained in the imaging data to determine whether they are artifacts or target radiation sources for subsequent processing.

[0062] Furthermore, after classifying the signal points in the imaging data as artifacts and target radioactive sources, the original imaging data can be updated and corrected. Specifically, signal points identified as artifacts can be reverse-displaced to push the erroneous forward signal back deeper; signal points identified as target radioactive sources retain their original position information. Finally, after all signal points contained in the imaging data are updated and corrected as described above, the corrected imaging data is obtained. Furthermore, based on the corrected imaging data, combined with the gamma-ray intensity and energy information collected by each detector, the boron concentration of the monitored object is inferred, resulting in highly accurate boron concentration monitoring results.

[0063] In the above embodiment, imaging trend analysis is performed using the first and second imaging data to generate ratio vector data containing signal depth variations, thereby distinguishing between true radiation source areas and artifacts. Imaging trend data is further used to correct the original imaging data, eliminating artifact interference while preserving the original position of the target radiation source signal. Based on the corrected imaging data, the boron concentration of the monitored object is accurately inferred, significantly improving the accuracy of the monitoring results. Ultimately, this method can effectively improve the accuracy of boron concentration monitoring, reduce misjudgments caused by imaging errors, and provide reliable data support for boron neutron capture therapy.

[0064] In some embodiments, the Compton camera system further includes a second Compton camera group, the second Compton camera group including a third detector and a fourth detector arranged opposite and parallel to each other in the second direction; the first direction is perpendicular to the second direction. Figure 3a , the method further comprises:

[0065] S310 . During the first imaging, the third detector and the fourth detector are both at a first distance from the monitored object, and the monitored object is imaged by the third detector and the fourth detector to obtain third imaging data in a second direction.

[0066] It should be understood that since the reconstructed cone obtained by the Compton camera imaging is narrow at the top and wide at the bottom, even if one or more sets of parallel Compton cameras are set, the detection direction is also single angle, which results in a large error in the depth direction of the obtained three-dimensional imaging. Therefore, in order to better eliminate the depth error, the Compton camera system can further include a second Compton camera group 20, such as Figure 3b As shown, the Compton camera system arranged around the monitoring object 101 further includes a second Compton camera group 20, which includes a third detector 201 and a fourth detector 203 arranged opposite and parallel to each other in the second direction. Optionally, the structures of the third detector 201 and the fourth detector 203 can also be as shown in FIG. Figure 1c shown.

[0067] Specifically, to further reduce the imaging error in the depth direction, the third detector 201 and the fourth detector 203 can also be symmetrically arranged on both sides of the monitored object 101. However, unlike the first detector 103 and the second detector 105, the third detector 201 and the fourth detector 203 are arranged relative to and parallel to each other along the second direction. The second direction can be a reference direction determined when arranging the detectors of the second Compton camera group 20, and the first direction and the second direction can be perpendicular. For example, please continue to refer to Figure 3b, taking the monitored object as the origin, the first direction is taken as the horizontal direction, and the second direction can be taken as the vertical direction. At this time, the third detector 201 can be arranged on the side of the vertical positive direction; correspondingly, the fourth detector 203 can be arranged on the side of the vertical negative direction to provide detection data at a perspective opposite to the third detector 201.

[0068] Furthermore, during the first imaging, in addition to imaging the monitored object using the first detector and the second detector, the monitored object may also be imaged using the third detector and the fourth detector to obtain third imaging data in the second direction.

[0069] The third imaging data may be three-dimensional imaging data containing energy, position, and intensity information of a gamma-ray event at a first distance in the second direction. Specifically, before the first imaging, the vertical distances between the imaging centers of the first Compton camera group (first and second detectors) and the second Compton camera group (third and fourth detectors) and the geometric center of the monitored object can be adjusted to the first distance to ensure that the two groups of detectors are symmetrically arranged at equal distances in the first and second directions. Subsequently, during imaging, all detectors of the first and second Compton camera groups are simultaneously triggered, causing the first, second, third, and fourth detectors to synchronously initiate data acquisition and perform three-dimensional imaging. Ultimately, not only can first imaging data at the first distance in the first direction be obtained, but third imaging data at the first distance in the second direction can also be obtained using the two detectors of the second Compton camera group.

[0070] S320 . During the second imaging, the third detector and the fourth detector are both at a second distance from the monitored object, and the monitored object is imaged by the third detector and the fourth detector to obtain fourth imaging data in the second direction.

[0071] Similarly, before the second imaging, the vertical spacing between the imaging centers of the first and second Compton camera groups and the geometric center of the monitored object can be adjusted to the second distance to ensure that the two sets of detectors are symmetrically arranged at equal distances in the first and second directions. Subsequently, during imaging, all detectors are triggered to synchronously initiate data acquisition and perform three-dimensional imaging. Ultimately, second imaging data at the second distance in the first direction and fourth imaging data at the second distance in the second direction can also be obtained. The fourth imaging data can be three-dimensional imaging data containing energy, position, and intensity information of the gamma-ray event at the second distance in the second direction.

[0072] Accordingly, performing boron concentration monitoring on the monitoring object based on the first imaging data and the second imaging data includes:

[0073] S330 , monitoring the boron concentration of the monitoring object based on the first imaging data, the second imaging data, the third imaging data, and the fourth imaging data.

[0074] Specifically, based on the first, second, third, and fourth imaging data, the geometric constraints of two sets of orthogonal detectors are utilized to compress the conical surface blur of a single event into a spatial intersection point. For example, the first and second imaging data acquired in a first direction can be superimposed with the third and fourth imaging data acquired in a second direction. A three-dimensional reconstruction algorithm is then used to calculate the double-conical intersection point for each gamma photon event, identify and correct artifacts, and thus precisely locate the specific location of the target radiation source.

[0075] In the above-described embodiment, by arranging two orthogonal Compton camera arrays and synchronously acquiring data at different distances, multi-angle and multi-dimensional imaging data complementation is achieved. Three-dimensional reconstruction is performed using the first and second horizontal imaging data and the third and fourth vertical imaging data. The conical blur of a single event is compressed into a spatial intersection, significantly suppressing depth errors and artifacts caused by the imaging characteristics of the Compton cameras. Ultimately, based on the first, second, third, and fourth imaging data, real-time and high-resolution monitoring of boron concentration is achieved, providing reliable online dose assessment support for BNCT treatment.

[0076] In some embodiments, the first Compton camera group and the second Compton camera group move toward the monitored object, and after moving to an allowed distance threshold, the first Compton camera group and the second Compton camera group move away from the monitored object.

[0077] The "allowable distance threshold" refers to the minimum safe distance maintained between the detector and the monitored object during dynamic movement of the Compton camera system. The "allowable distance threshold" can be set based on imaging accuracy requirements and physical constraints to balance imaging accuracy with device safety. For example, if the first distance between the detector and the monitored object is 25 cm, the "allowable distance threshold" can be 20 cm. That is, as the distance between the detector and the monitored object decreases from 25 cm (the first distance) to 20 cm (the "allowable distance threshold"), the system can trigger a reverse movement away from the monitored object, gradually increasing the distance between the detector and the monitored object from 20 cm.

[0078] Optionally, when the detector moves from the allowed distance threshold to the first distance again, the above movement process can be repeated to form a "close-away-close" cycle to continuously update the data. The trend obtained last time can also be applied to the next movement and reconstruction process, thereby providing a dynamic data chain for imaging trend analysis, better stripping off artifact signals, and meeting the real-time and high-precision boron concentration monitoring needs.

[0079] In this embodiment, as the detector approaches the monitored object, the cone reconstruction error decreases and the artifact signal position shifts significantly backward. By setting an allowable distance threshold and controlling the Compton camera array to cyclically move between the first distance and the threshold, dynamic data acquisition and error correction are achieved through multiple analyses of imaging data at different distances. This ensures a safe distance for the device while meeting the requirements for high-precision, real-time monitoring of boron concentration in BNCT treatments.

[0080] In some embodiments, the first detector, the second detector, the third detector, and the fourth detector move synchronously.

[0081] Specifically, to ensure high-precision boron concentration monitoring and reduce the influence of interfering variables introduced by asynchronous detector movement, the first to fourth detectors can be controlled to move in a coordinated manner in the first and second directions at the same time and rate. This ensures that the distances between all detectors and the center of the monitored object change synchronously, ensuring that the number of particles collected during each movement is comparable. This also avoids distance differences caused by asynchronous movement, which can affect the comparability of multi-angle data.

[0082] Furthermore, controlling the first detector and the second detector to move in the first direction, respectively, and controlling the third detector and the fourth detector to move in the second direction, respectively, may include:

[0083] While the first detector and the second detector move toward each other at a preset speed in the first direction, the third detector and the fourth detector also move toward each other at a preset speed in the second direction.

[0084] The preset rate can refer to a fixed speed at which each detector moves. This speed must ensure the detector continuously collects gamma-ray events while moving, while also avoiding mechanical vibration or collision risks caused by rapid movement. For example, to balance real-time performance, accuracy, and safety requirements, the preset rate can be set to 0.1 cm per 10 seconds.

[0085] Specifically, during imaging, all detectors of the first Compton camera group and the second Compton camera group can be triggered simultaneously, that is, the first detector and the second detector are moved toward each other at a preset rate in the first direction to start data acquisition operation and perform three-dimensional imaging, and at the same time, the third detector and the fourth detector are moved toward each other at the preset rate in the second direction.

[0086] For example, with the monitored object as the origin, the first direction is taken as the horizontal direction, the second direction is taken as the vertical direction, and the preset speed is 0.1 cm / s. In the case of moving towards each other, the first detector can be moved in the horizontal negative direction, gradually approaching the monitored object, and the second detector can be moved in the horizontal positive direction, gradually approaching the monitored object, and their movement speed is 0.1 cm / s. At the same time, the third detector can be moved in the vertical negative direction, gradually approaching the monitored object, and the second detector can be moved in the vertical positive direction, gradually approaching the monitored object, and their movement speed is also 0.1 cm / s.

[0087] Alternatively, while the first detector and the second detector move away from each other at a preset speed in the first direction, the third detector and the fourth detector also move away from each other at a preset speed in the second direction.

[0088] Similarly, taking the monitored object as the origin, please refer to Figure 3c , setting the first direction as horizontal and the second direction as vertical, with a preset speed of 0.1 cm / s. In the case of opposite movement, the first detector can be moved in the positive horizontal direction, gradually away from the monitored object, and the second detector can be moved in the negative horizontal direction, and both move at a speed of 0.1 cm / s. Simultaneously, the third detector can be moved in the positive vertical direction, gradually away from the monitored object, and the second detector can be moved in the negative vertical direction, and both move at a speed of 0.1 cm / s.

[0089] In this embodiment, by controlling multiple detectors to move synchronously toward or away from each other in different directions at the same preset rate, the distance between all detectors and the monitored object changes synchronously, eliminating multi-angle data deviations caused by asynchronous movement. Furthermore, this synchronous movement strategy, combined with real-time data acquisition, significantly reduces the depth error caused by the conical imaging characteristics of the Compton camera by dynamically adjusting the detector positions, while also avoiding the risk of mechanical vibration. Ultimately, this achieves the high-precision and real-time requirements for boron concentration monitoring.

[0090] In some embodiments, please refer to the attached Figure 4 If the second distance is less than the first distance, performing boron concentration monitoring on the monitored object based on the first imaging data, the second imaging data, the third imaging data, and the fourth imaging data includes:

[0091] S410 , performing imaging trend analysis based on the first imaging data and the second imaging data to obtain first imaging trend data.

[0092] The first imaging trend data may be trend vector data used to quantify the ratio of signal depth change with detector distance in the imaging data in the first direction. Specifically, imaging trend analysis is performed by comparing depth changes at corresponding signal points in the imaging data at different distances (the first distance and the second distance) in the first direction and analyzing the pattern of such changes with detector distance to obtain the first imaging trend data.

[0093] S420: Correct the second imaging data using the first imaging trend data to obtain first corrected imaging data.

[0094] It is understood that if the second distance is less than the first distance, the accuracy of the second imaging data will correspondingly be higher than that of the first imaging data. Therefore, the first imaging trend data can be used to update and correct the second imaging data with relatively higher accuracy. For example, the first imaging trend data can be used to first determine artifacts and target radiation sources for signal points included in the second imaging data. Subsequently, all signal points determined to be artifacts can be subjected to reverse displacement processing to push the erroneous forward signals back deeper, while retaining the original position information of all signal points determined to be target radiation sources, thereby obtaining the first corrected imaging data.

[0095] It should be noted that if the second distance is greater than the first distance, the first imaging trend data may be used to correct the first imaging data to obtain first corrected imaging data.

[0096] S430 : Perform imaging trend analysis based on the third imaging data and the fourth imaging data to obtain second imaging trend data.

[0097] The second imaging trend data may be trend vector data used to quantify the ratio of signal depth change with detector distance in the imaging data in the second direction. Specifically, the second imaging trend data is obtained by comparing depth changes of corresponding signal points in the imaging data at different distances in the second direction and analyzing the pattern of such changes with detector distance through imaging trend analysis.

[0098] S440: Correct the fourth imaging data using the second imaging trend data to obtain second corrected imaging data.

[0099] Similarly, if the second distance is less than the first distance, the accuracy of the fourth imaging data will be correspondingly higher than that of the third imaging data. Therefore, the second imaging trend data can be used to update and correct the relatively high-precision fourth imaging data. For example, signal determination is first performed on the signal points included in the fourth imaging data based on the second imaging trend data. Subsequently, a reverse displacement process is performed on all signal points determined to be artifacts, while retaining the original position information of all signal points determined to be target radiation sources, thereby obtaining the second corrected imaging data.

[0100] It should be noted that if the second distance is greater than the first distance, the third imaging data can be corrected using the second imaging trend data to obtain first corrected imaging data.

[0101] S450 , monitoring the boron concentration of the monitoring object according to the first corrected imaging data and the second corrected imaging data.

[0102] Due to the imaging characteristics of Compton cameras, single-angle three-dimensional reconstruction imaging has large errors in the depth direction. Therefore, two groups of Compton cameras are arranged symmetrically in two directions. The detectors contained in each group are parallel to each other within the group and perpendicular to each other between groups. Subsequently, synchronous imaging operations are performed using these four detectors to obtain first imaging data, second imaging data, third imaging data, and fourth imaging data. Then, during reconstruction, the first imaging data, second imaging data, third imaging data, and fourth imaging data are grouped for imaging trend analysis and correction, and first corrected imaging data and second corrected imaging data in two directions are obtained to monitor the boron concentration of the monitored object. Furthermore, when performing boron concentration monitoring, the corrected imaging data in the two directions can be superimposed, and residual artifacts can be further eliminated through spatial intersection verification. Then, based on the gamma ray intensity and energy information collected by each detector, high-precision boron concentration monitoring results are finally obtained.

[0103] Optionally, because the first and second Compton camera groups move toward or away from the monitored object at the same preset rate, the four detectors therein can perform an image after each distance they move. That is, the two groups of detectors can first perform an image at the first distance, then perform another image when moving from the first distance to the second distance, and then perform another image when moving from the second distance to the third distance, until they reach the allowable distance threshold. Correspondingly, when monitoring the boron concentration of the monitored object, the system is not limited to the first and third imaging data obtained from the first imaging and the second and fourth imaging data obtained from the second imaging. Instead, a step-by-step trend analysis and imaging update correction can be performed based on multiple imaging data obtained from multiple imaging sessions, ultimately obtaining a more accurate boron concentration monitoring result.

[0104] It's important to note that as the detector approaches the radiation source (the monitored object) at a constant rate, the accuracy of each imaging result gradually improves. This is because the closer the Compton camera is to the radiation source, the smaller the base radius of the reconstruction cone reconstructed from each Compton event, causing the reconstruction cone to more closely resemble the ray emanating from its vertex (i.e., the reconstruction cone becomes narrower and more focused). Therefore, each time the detector approaches the radiation source, the reconstruction result moves closer to the target radiation source.

[0105] Furthermore, multiple cycles of movement and imaging (for example, gradually approaching from 25 cm to 20 cm, then gradually moving back from 20 cm to 25 cm) can be used to further converge the reconstruction results to the true source location after each approach. This dynamic process allows analysis of the trend of signal position changes with distance. To achieve real-time boron concentration monitoring, four Compton cameras can be controlled to simultaneously collect data. To ensure accurate measurement of the source area, the four Compton cameras must move and image synchronously, with the time interval between each movement being consistent to ensure a roughly equivalent number of particles collected. Imaging trend analysis is then performed on the imaging results obtained from each approach to determine imaging trend data. Furthermore, the imaging trend data from the previous approach can be used to guide and optimize the next detector movement strategy, imaging, and reconstruction operations. In this way, iterative accuracy improvement is achieved, resulting in increasingly accurate results.

[0106] For example, taking the first distance as 25 cm and the preset rate as 0.1 cm per 10 seconds, if imaging is performed once every 10 seconds, the first imaging can obtain imaging data I11 in the first direction and imaging data I12 in the second direction at 25 cm, the second imaging can obtain imaging data I21 in the first direction and imaging data I22 in the second direction at 24.9 cm, the third imaging can obtain imaging data I31 in the first direction and imaging data I32 in the second direction at 24.8 cm, and so on.

[0107] Furthermore, when monitoring boron concentration, an imaging trend analysis can be performed on I11 and I12 at 25 cm, and I21 and I22 at 24.9 cm, to obtain trend data Q1. Q1 is then used to correct the two imaging data at 24.9 cm to obtain I1, and the boron concentration of the monitored object is directly monitored based on I1. After obtaining the imaging trend data Q1, an imaging trend analysis can be performed on I21 and I22 at 24.9 cm, and I31 and I32 at 24.8 cm to obtain trend data Q2. Q1 and Q2 are then used together to correct the two imaging data at 24.8 cm to obtain a more accurate I2, and the boron concentration of the monitored object is then monitored based on the more accurate I2.

[0108] Similarly, by performing step-by-step trend analysis and imaging update correction according to the above scheme, the corrected imaging data with higher accuracy can be obtained, so as to perform real-time and high-precision boron concentration monitoring on the monitored object. In the above embodiment, by comparing the imaging data at different distances, the trend of the signal position changing with distance is analyzed, and correction processing is performed on it, which significantly reduces the depth error. In addition, multi-dimensional verification of data in the horizontal and vertical directions is adopted to further eliminate residual artifacts and improve the spatial resolution of three-dimensional imaging. Finally, a cyclic movement strategy and a step-by-step correction algorithm are used, and a cyclic movement strategy of synchronous movement of two groups of orthogonally arranged Compton cameras and a step-by-step correction algorithm for collecting multi-distance imaging data for dynamic trend analysis are used to continuously update high-precision imaging data to meet the online real-time monitoring requirements of boron concentration in BNCT treatment, and to perform real-time and high-precision boron concentration monitoring on the monitored object.

[0109] The embodiment of this specification also provides a boron concentration monitoring device 500, such as Figure 5 As shown, it includes a first imaging module 510, a second imaging module 520 and a concentration monitoring module 530, wherein:

[0110] The first imaging module 510 is configured to perform a first imaging of the monitored object using the first detector and the second detector when both the first detector and the second detector are at a first distance from the monitored object, so as to obtain first imaging data in a first direction.

[0111] The second imaging module 520 is used to control the first detector and the second detector to move respectively in the first direction. When the first detector and the second detector are both at a second distance from the monitored object, the monitored object is imaged for the second time by the first detector and the second detector to obtain second imaging data in the first direction.

[0112] The concentration monitoring module 530 is configured to monitor the boron concentration of the monitoring object based on the first imaging data and the second imaging data.

[0113] In some embodiments, the second imaging module 520 is further used to control the first detector and the second detector to move respectively in the first direction, including: controlling the first detector and the second detector to approach the monitored object in the first direction and move to a position at a second distance from the monitored object; wherein the second distance is less than the first distance; or controlling the first detector and the second detector to move away from the monitored object in the first direction and move to a position at a second distance from the monitored object; wherein the second distance is greater than the first distance.

[0114] In some embodiments, the concentration monitoring module 530 is also used to monitor the boron concentration of the monitored object based on the first imaging data and the second imaging data, including: performing imaging trend analysis based on the first imaging data and the second imaging data to obtain imaging trend data; correcting the first imaging data or the second imaging data based on the imaging trend data to obtain corrected imaging data, so as to use the corrected imaging data to monitor the boron concentration of the monitored object.

[0115] In some embodiments, the Compton camera system further includes a second Compton camera group, the second Compton camera group including a third detector and a fourth detector arranged relative to and parallel to each other in the second direction; the first direction is perpendicular to the second direction; a boron concentration monitoring device 500 further includes a multiple imaging module, which is used to control the third detector and the fourth detector to be at a first distance from the monitored object during the first imaging, and to image the monitored object through the third detector and the fourth detector to obtain third imaging data in the second direction; during the second imaging, the third detector and the fourth detector are at a second distance from the monitored object, and to image the monitored object through the third detector and the fourth detector to obtain fourth imaging data in the second direction; accordingly, the boron concentration of the monitored object is monitored based on the first imaging data and the second imaging data, including: monitoring the boron concentration of the monitored object based on the first imaging data, the second imaging data, the third imaging data and the fourth imaging data.

[0116] In some embodiments, the multiple imaging module is further used to control the first Compton camera group and the second Compton camera group to move closer to the monitored object, and after moving to an allowed distance threshold, control the first Compton camera group and the second Compton camera group to move away from the monitored object.

[0117] In some embodiments, the multi-imaging module is further configured to control the synchronous movement of the first detector, the second detector, the third detector, and the fourth detector.

[0118] In some embodiments, the multiple imaging module is further used to control the first detector and the second detector to move toward each other at a preset rate in the first direction while the third detector and the fourth detector also move toward each other at a preset rate in the second direction; or the first detector and the second detector to move away from each other at a preset rate in the first direction while the third detector and the fourth detector also move away from each other at a preset rate in the second direction.

[0119] In some embodiments, if the second distance is less than the first distance, the concentration monitoring module 530 is further used to monitor the boron concentration of the monitored object based on the first imaging data, the second imaging data, the third imaging data and the fourth imaging data, including: performing imaging trend analysis based on the first imaging data and the second imaging data to obtain first imaging trend data; correcting the second imaging data using the first imaging trend data to obtain first corrected imaging data; performing imaging trend analysis based on the third imaging data and the fourth imaging data to obtain second imaging trend data; correcting the fourth imaging data using the second imaging trend data to obtain second corrected imaging data; and monitoring the boron concentration of the monitored object according to the first corrected imaging data and the second corrected imaging data.

[0120] The specific definition of a boron concentration monitoring device can be found in the definition of a boron concentration monitoring method described above and will not be repeated here. The various modules in the above-mentioned boron concentration monitoring device can be implemented in whole or in part through software, hardware, or a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the computer device in hardware form, or can be stored in the memory of the computer device in software form, so that the processor can call and execute the corresponding operations of the above-mentioned modules.

[0121] The boron concentration monitoring device in this embodiment is presented in the form of a functional unit, where the unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and memory that executes one or more software or fixed programs, and / or other devices that can provide the above functions.

[0122] The embodiment of the present application further provides a computer device, which may be a terminal, and its internal structure diagram may be as shown in FIG. Figure 6As shown. The computer device includes a processor, memory, a communication interface, a display screen, and an input device connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner. The wireless manner can be achieved through WIFI, a mobile cellular network, NFC (near field communication), or other technologies. When the computer program is executed by the processor, a boron concentration monitoring method is implemented. The display screen of the computer device can be a liquid crystal display or an electronic ink display screen. The input device of the computer device can be a touch layer covering the display screen, or a key, trackball, or touchpad provided on the computer device housing, or an external keyboard, touchpad, or mouse.

[0123] Those skilled in the art will understand that Figure 6 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0124] The embodiments of the present application also provide a computer-readable storage medium. The above-mentioned method according to the embodiment of the present application can be implemented in hardware, firmware, or implemented as a computer code that can be recorded in a storage medium, or implemented as a computer code that is originally stored in a remote storage medium or a non-temporary machine-readable storage medium and downloaded through a network and will be stored in a local storage medium, so that the method described herein can be stored in such software processing on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only storage memory, a random access memory, a flash memory, a hard disk or a solid-state drive, etc.; further, the storage medium can also include a combination of the above-mentioned types of memory. It can be understood that a computer, a processor, a microprocessor controller or programmable hardware includes a storage component that can store or receive software or computer code. When the software or computer code is accessed and executed by a computer, a processor or hardware, the method shown in the above embodiment is implemented.

[0125] An embodiment of the present application provides a computer program product, which includes computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the computer device to perform a method according to any embodiment of the present application.

[0126] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Furthermore, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0127] This application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the application. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate a device for implementing the functions specified in one or more processes in the flowchart and / or one or more blocks in the block diagram.

[0128] These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce a product including an instruction device that implements the functions specified in one or more processes in the flowchart and / or one or more boxes in the block diagram.

[0129] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, so that the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one or more processes in the flowchart and / or one or more boxes in the block diagram.

[0130] Throughout this specification, reference to terms such as "one embodiment," "some embodiments," "examples," "specific examples," or "some examples" means that a specific feature, structure, material, or characteristic described in conjunction with that embodiment or example is included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0131] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of the technical features being referred to. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of such features. Throughout the description of this application, "plurality" means at least two, for example, two, three, etc., unless otherwise specifically defined.

[0132] It should also be noted that the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, commodity, or apparatus that includes a series of elements includes not only those elements but also other elements not explicitly listed, or includes elements inherent to such process, method, commodity, or apparatus. In the absence of further limitations, an element defined by the phrase "comprises a ..." does not exclude the presence of other identical elements in the process, method, commodity, or apparatus that includes the element.

[0133] Each embodiment in this specification is described in a progressive manner. Similar parts between the embodiments can be referred to in detail. Each embodiment focuses on the differences from other embodiments. Since it is basically similar to the method embodiment, the description is relatively simple. For relevant parts, refer to the partial description of the method embodiment.

[0134] The foregoing is merely an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application should all be included within the scope of the claims of the present application.

[0135] Although the embodiments of the present application have been described with reference to the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present application, and such modifications and variations shall fall within the scope defined by the appended claims.

Claims

1. A method for monitoring boron concentration, characterized in that: Applied to a Compton camera system, the Compton camera system includes a first Compton camera group, the first Compton camera group includes a first detector and a second detector arranged opposite and parallel to each other in a first direction; the method includes: When the first detector and the second detector are both at a first distance from the monitored object, the monitored object is imaged for the first time by the first detector and the second detector to obtain first imaging data in the first direction; controlling the first detector and the second detector to move respectively in the first direction, and when the first detector and the second detector are both at a second distance from the monitored object, imaging the monitored object a second time by the first detector and the second detector to obtain second imaging data in the first direction; The boron concentration of the monitored object is monitored based on the first imaging data and the second imaging data; wherein, the boron concentration monitoring of the monitored object based on the first imaging data and the second imaging data includes: performing imaging trend analysis based on the first imaging data and the second imaging data to obtain imaging trend data; correcting the first imaging data or the second imaging data based on the imaging trend data to obtain corrected imaging data, so as to use the corrected imaging data to monitor the boron concentration of the monitored object.

2. The method according to claim 1, characterized in that The controlling the first detector and the second detector to move respectively in the first direction includes: Controlling the first detector and the second detector to approach the monitored object in the first direction and move to a position at a second distance from the monitored object; wherein the second distance is smaller than the first distance; or The first detector and the second detector are controlled to move away from the monitored object in the first direction and to a position at a second distance from the monitored object; wherein the second distance is greater than the first distance.

3. The method according to claim 1 or 2, characterized in that The Compton camera system further includes a second Compton camera group, wherein the second Compton camera group includes a third detector and a fourth detector arranged opposite and parallel to each other in a second direction; The first direction is perpendicular to the second direction; and the method further includes: During the first imaging, the third detector and the fourth detector are both at the first distance from the monitored object, and the monitored object is imaged by the third detector and the fourth detector to obtain third imaging data in the second direction; During the second imaging, the third detector and the fourth detector are both at the second distance from the monitored object, and the monitored object is imaged by the third detector and the fourth detector to obtain fourth imaging data in the second direction; Boron concentration monitoring is performed on the monitoring object based on the first imaging data, the second imaging data, the third imaging data, and the fourth imaging data.

4. The method according to claim 3, characterized in that The first Compton camera group and the second Compton camera group move toward the monitored object, and after moving to an allowed distance threshold, the first Compton camera group and the second Compton camera group move away from the monitored object.

5. The method according to claim 4, characterized in that The first detector, the second detector, the third detector and the fourth detector move synchronously.

6. The method according to claim 5, characterized in that While the first detector and the second detector move toward each other at a preset speed in the first direction, the third detector and the fourth detector also move toward each other at the preset speed in the second direction.

7. The method according to claim 5, characterized in that While the first detector and the second detector move in opposite directions at a preset speed in the first direction, the third detector and the fourth detector also move in opposite directions at the preset speed in the second direction.

8. The method according to claim 3, characterized in that If the second distance is less than the first distance, monitoring the boron concentration of the monitored object based on the first imaging data, the second imaging data, the third imaging data, and the fourth imaging data includes: performing imaging trend analysis based on the first imaging data and the second imaging data to obtain first imaging trend data; Correcting the second imaging data using the first imaging trend data to obtain first corrected imaging data; performing imaging trend analysis based on the third imaging data and the fourth imaging data to obtain second imaging trend data; Correcting the fourth imaging data using the second imaging trend data to obtain second corrected imaging data; Boron concentration monitoring is performed on the monitoring object according to the first corrected imaging data and the second corrected imaging data.

9. A computer device, characterized in that: include: A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the method according to any one of claims 1 to 8 by executing the computer instructions.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute the method according to any one of claims 1 to 8.

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