111 results about "Radiation risk" patented technology

The invention relates to the technical field of medical image processing, in particular to an artificial intelligence assisted intraoperative imaging method, which comprises the following steps: S1, preprocessing a multi-modal medical image, segmenting and recognizing an anatomical structure by a deep learning model according to the preprocessed image, measuring anatomical parameters based on a segmentation and recognition result, and generating an operation planning path by artificial intelligence according to the anatomical parameters; s2, collecting a C-shaped arm perspective image stream in real time, dynamically tracking space coordinates of a surgical instrument, comparing the position of the instrument with a surgical planned path, calculating offset, and when the offset is greater than an offset threshold, outputting correction guidance through an AR superposition layer; and S3, monitoring an image quality index in real time, dynamically adjusting exposure parameters through a reinforcement learning model, and when a metal implant is detected, switching a dual-energy-spectrum mode and executing an artifact suppression algorithm. According to the method, preoperative precise planning and intraoperative assistance are realized through artificial intelligence, the problems of poor image quality and high radiation risk are solved through technical optimization, and the method has important clinical application value.

The invention provides a scoliosis screening method and system, and relates to the technical field of medical artificial intelligence, human body image data on a low-light detection garment worn by a patient is collected, the human body image data is preprocessed and sent to an SSD module, the SSD module is used for predicting the position of a low-light light source, and a scoliosis detection result is obtained. The key point detection module is used for detecting human body scoliosis, high-precision detection frame information in the detection result is used as a basis, a human body posture result predicted by the key point detection module is restrained and corrected, then human body scoliosis grading is performed, a human body scoliosis detection result is displayed and fed back to a patient, high-precision detection of scoliosis is achieved, and the system has the advantages of high efficiency, non-invasiveness and light weight; the scoliosis early detection rate and grading intervention precision can be remarkably improved, and the problems that traditional medical diagnosis is low in efficiency, large in radiation risk, insufficient in precision and difficult to operate on embedded equipment with limited resources are solved.

The invention provides an off-site full-range radiation risk evaluation method and system under a severe accident of a nuclear power plant, and the method comprises the steps: S1, building a radioactive accident risk evaluation basic model architecture, adapting to a model demand, and building a corresponding basic database; s2, constructing radioactive smoke plume characteristics after the accident; s3, calculating accident site space gridding and smoke plume transmission discretization; s4, sampling meteorological conditions, and simulating smoke plume transmission; s5, calculating the radiation dose in the early stage of the grid domain, and carrying out risk assessment; s6, performing risk assessment on the health effect in the early stage of the grid domain; s7, calculating the medium-and-long-term stage radiation dose in the grid domain, and performing dose risk assessment; and S8, performing health effect risk assessment and accident consequence assessment in the medium-and-long-term stage. According to the method, the whole transportation process of the radioactive smoke plume under a serious accident is simulated, loss effects such as dry and wet settlement and radioactive decay of the smoke plume are considered, and the activity of the radionuclide deposited on the ground and retained in the air in the off-site space range is determined.

The invention discloses a visual classification and intelligent analysis integrated radioactive source automatic verification system and method. The system is characterized by comprising a master control system, a grabbing device for automatically clamping and carrying a source box, automatic verification equipment for automatically verifying the source box, a carrying device for automatically conveying and storing the verified source box, and a lifting platform for driving the source box to lift. The mechanical arm drives the carrying device to replace manual work to clamp the source box on a truck to the automatic verification equipment, the automatic verification equipment automatically verifies the source box, after verification is completed, the mechanical arm drives the carrying device to clamp the source box to the material frame, and the carrying device carries and stores the source box on the material frame to the corresponding stock bin. And automatic verification and storage are realized, so that the identification accuracy and the storage operation efficiency of the radioactive source are improved, and the radiation risk and the labor intensity of personnel are reduced.

The invention discloses a real-time meteorological risk assessment method for low-altitude flight safety, and relates to the technical field of flight safety and meteorological information processing, and the method comprises the following steps: constructing a solar radiation sensitive factor prediction model, and inverting a sun vector according to latitude and longitude information and attitude parameters obtained by an aircraft in real time, and generating a radiation risk mapping field covering the flight track area based on the sun vector. According to the method, radiation risk mapping based on sun vector inversion is constructed, look-ahead identification of a thermal disturbance area is realized, and imaging window scheduling and flight attitude cooperative control are carried out in combination with a thermal disturbance potential index. Through signal-to-noise ratio driven multi-channel imaging control, frequency hopping sampling and Hadamard exposure modulation, solar radiation interference is effectively suppressed, and the image quality is improved. And the imaging residual error is fed back to the model to realize closed-loop updating, so that the safety and sensing reliability of low-altitude flight are comprehensively enhanced.

The invention discloses a peripheral blood and CT-based liver transplantation recipient sarcopenia classification method and device, and the method comprises the steps: carrying out the single-factor COX regression preliminary screening of collected peripheral blood biochemical indexes of liver transplantation recipients, and obtaining potential prediction factors related to sarcopenia; performing LASSO regression screening on the potential predictive factors to obtain core predictive factors related to sarcopenia; multiplying each core predictive factor by a regression coefficient calculated in LASSO regression, performing accumulation calculation to obtain an LASSO + COX model score, and dividing liver transplantation recipients into different risk groups according to the size of the LASSO + COX model score; and carrying out definite diagnosis on sarcopenia according to a risk group division result in combination with a CT image examination result. According to the method, a new strategy of peripheral blood prediction preliminary screening and high-risk CT confirmation is realized, the radiation risk, cost and detection threshold are reduced, and the sarcopenia management efficiency is improved.

The invention relates to the technical field of radiation early warning, in particular to an ambient radiation influence early warning system for a proton treatment system. The system comprises a radiation monitoring data acquisition module, a radiation space distribution generation module, a radiation risk level determination module, a radiation leakage analysis module, a risk information dynamic notification module and a treatment optimization suggestion module. According to the invention, through real-time monitoring and data integration of the radiation monitoring environment, the response speed and accuracy of radiation safety early warning are improved, and a detailed radiation distribution diagram can be constructed by using spatial data and radiation intensity information, so that risk assessment is more visual and easy to understand; the accurate assessment of the radiation risk allows specific and targeted protection measures to be taken, the potential leakage points are classified according to the radiation level deviation, the risk information is dynamically reported, it is ensured that the therapeutic personnel can receive key safety alarms in time, the therapeutic process is optimized, and the radiation risk of the patient is reduced.

The invention discloses a hip joint surgical robot grinding and rubbing detection system and a detection tool thereof, and relates to the technical field of medical instruments. The device comprises a bottom plate and a grinding and rubbing assembly, a hip model assembly is fixedly connected to one side of the top of the bottom plate, an acetabular fossa model assembly is fixedly connected to the other side of the top of the bottom plate, and a tracer support is fixedly connected to the position, located at the rear end of the acetabular fossa model assembly, of the top of the bottom plate. The grinding and rubbing precision can be monitored in real time in the operation process, immediate feedback is provided, an operation team can find and correct errors in the grinding and rubbing process in time, the success rate of the operation is increased, tiny grinding and rubbing errors can be detected by accurately measuring the ball center position of the grinding and rubbing contour, it is ensured that the surgical robot achieves high-precision grinding and rubbing operation, and the working efficiency is improved. Multiple times of X-ray or CT scanning needed by traditional postoperative imaging evaluation are avoided, the radiation risk of a patient is reduced, the grinding and rubbing precision detection process is simplified, the operation time is shortened, and the operation complexity is reduced.

The invention discloses an intelligent linkage system of radiographic inspection equipment and a protection device. The intelligent linkage system comprises an image recognition module, a controller and a driving and protection structure. The image recognition module captures an image of a detected person and position change information of radiographic inspection equipment and transmits the information to the controller; the controller calculates the height of a detected person, a detection part and an equipment position through a convolutional neural network algorithm, determines a target protection position and generates a motor driving instruction; the driving and protection structure drives the protection part to the target position according to the instruction. According to the system, machinery and artificial intelligence are combined, the system can automatically adapt to different crowds, automatic radiation protection of DR and CT examination is achieved, the protection standardization and the working efficiency are improved, and the radiation risk is reduced.

The invention provides a deep learning-based intelligent monitoring system and method for reservoir bank collapse risk, and relates to the technical field of bank monitoring, and the method comprises the steps: obtaining and preprocessing all monitoring point data of a reservoir bank monitoring network, and constructing a total monitoring point set; screening key base points and quantifying the inherent risk characterization quantity of the key base points; a dynamic association network of the common monitoring points and the key base points is established, and the final clustering association degree of the common monitoring points relative to the key base points is obtained; calculating a radiation risk value of each key base point to the associated common monitoring points in combination with the inherent risk characterization quantity and the final clustering association degree; fusing the radiation risk values of all the key base points to obtain a comprehensive risk value of the common monitoring point; constructing a directed weighted graph by taking the key base point as a source point, and dividing risk communities by adopting a graph neural network community discovery algorithm; and based on the community comprehensive risk value statistical distribution and the highest risk level of the contained key base points, assigning a unified risk level to each monitoring point and outputting the risk level.

The invention relates to the technical field of puncture auxiliary devices, in particular to a lung puncture laser guiding device based on a CT image and a control method. A set of complete puncture guiding and feedback mechanism is constructed through the reference positioner, the precise positioner and the visual feedback system, and the reference positioner forms a clear needle inserting mark on the body surface of a patient by emitting positioning laser. The precise positioner realizes precise projection and visual guidance of a theoretical needle inserting angle through cooperative movement of a first sliding rail, a second sliding rail and a braking sliding seat on the first sliding rail and the precise laser position indicator, and the visual feedback system captures and analyzes an actual operation image of a doctor in real time, calculates deviation between the actual needle inserting angle and a theoretical value, and displays the actual needle inserting angle and the theoretical value. Repeated puncture times are reduced, and the operation success rate and the patient safety are improved; the technical problems that in the puncture operation process, due to the fact that the angle is not easy to grasp, the puncture frequency of a patient is increased, pain of the patient is increased, and radiation risks of doctors and the patient are increased are solved.

The invention discloses an efficient radiation worker personal dose management method and system, and the method comprises the steps: collecting first object data, and carrying out the first preprocessing; and carrying out synchronous transmission on the preprocessed data, and constructing a real-time data stream. And performing first identification calculation on the synchronous data, analyzing the identified abnormal data, integrating the normal data and analyzing the trend. According to the efficient radiation worker personal dose management method and system, the real-time performance, accuracy and processing efficiency of radiation dose data are remarkably improved, and the problems that in the prior art, abnormal recognition is not accurate, manual operation consumes long time, and the trend analysis capacity is insufficient are solved. According to the invention, more reliable radiation risk early warning and management can be realized in practical application, and the radiation safety level and the management efficiency can be improved.

The invention discloses a Riemannian manifold-based path planning method in a radiation environment, and belongs to the technical field of robot path planning in a nuclear environment, and the method comprises the following steps: S1, modeling an environment in which a robot moves, and establishing a Riemannian manifold influenced by environmental factors; s2, performing path search on the Riemannian manifold through an RRT * algorithm to generate an initial optimal path; and S3, performing path smooth optimization on the initial optimal path through collision-free constraint and non-incremental radiation constraint to generate a final smooth path. By introducing Riemannian measurement, the influence of environmental factors such as radiation risk on path selection is reflected more truly, efficient and safe path planning of the robot in a complex nuclear environment is effectively achieved, and the problem that an existing method depends on Euclidean distance as heuristic measurement, and the path selection accuracy is poor is solved. And the influence of environmental factors such as radiation risk on path selection cannot be truly reflected, so that path generation is unsafe.

The invention discloses a multi-channel radioactive source implantation system with a needle withdrawing driving function, which comprises a push rod output channel, a push rod, a push rod driving mechanism, a first connecting part, a first motion platform and a needle withdrawing driving mechanism, and is characterized in that the push rod pushes a radioactive source arranged in front of the push rod to be output along the push rod output channel; the first connecting part and one end of the push rod output channel are arranged on the two sides of the first moving platform respectively, the needle pulling driving mechanism and one end of the push rod output channel are arranged side by side, and the first moving platform drives one end of the push rod output channel and the needle pulling driving mechanism to move relative to the first connecting part. The push rod output channel is butted with different hole sites through the relative movement of the push rod output channel and the first connecting part, so that multi-channel implantation of radioactive particles is realized; the puncture needle is automatically pulled out through the needle pulling driving mechanism, the implantation precision and the implantation effect are improved, full-automatic operation is achieved, the radiation risk is avoided, the operation time is short, the structure is simple and reasonable, and driving is convenient and fast.

The invention discloses a nuclear power station risk assessment method and device, electronic equipment and a storage medium. The method comprises the following steps: detecting a radiation source at a preset part position of the nuclear power plant to obtain first detection data, and determining a radiation risk factor of the nuclear power plant according to the first detection data; wherein the radiation source comprises neutron radiation, an alpha ray, a beta ray, a gamma ray and an x ray; detecting a pollution source and plants at a preset environment position of the nuclear power station to obtain second detection data, and determining an environment risk factor of the nuclear power station according to the second detection data; wherein the preset environment position comprises a preset soil position and a preset water body position, and the pollution source comprises strontium and cesium; and evaluating the operation risk of the nuclear power station according to the radiation risk factor and the environmental risk factor. According to the technical scheme of the embodiment of the invention, the representativeness of the radiation risk factor and the environmental risk factor can be improved, and the comprehensiveness and the accuracy of the operation risk assessment result of the nuclear power station are further improved.

The invention discloses an intelligent preparation and precise implantation method for a pedicle screw path based on attitude perception. The method comprises the following steps: generating an attitude monitoring module representing real-time attitude angle data of a surgical instrument; the adaptive fixing mechanism is connected with the posture monitoring module and enables the measuring reference axis of the posture monitoring module to be consistent with the working direction of the instrument; when it is judged that the real-time posture angle is matched with the ideal nail path angle, a prompt signal is generated and output, an expensive robot platform is not needed, and real-time monitoring and intelligent prompt of the angle in the operation can be achieved by adapting the micro posture monitoring module to a common abrasive drill and other instruments; the robot-level implantation precision can be achieved by doctors in traditional manual operation, the three industrial pain points of insufficient judgment precision depending on experience, high cost and complex operation of a robot navigation system and radiation risk caused by repeated perspective in an operation in the prior art are effectively solved, and the operation safety and universality are remarkably improved with extremely low cost.

The application discloses a real-time path planning method fusing improved locust-dynamic window method, and comprises the following steps: S1, generating an initial path according to an improved A* algorithm, performing global path planning on the path in a radiation environment through an improved locust optimization algorithm, and determining the path from the starting point to the ending point; S2, performing local path planning according to the path through an improved DWA algorithm, and generating a planning path. Through the introduction of a position updating strategy considering radiation distribution information and an improved adaptive comfort zone coefficient, the influence of the radiation risk on path selection is more truly reflected, and the position updating process of the GOA is optimized. This enables the algorithm to effectively guide the locust population to avoid high radiation areas in a nuclear environment, and significantly reduces the radiation exposure risk. Through the combination of the global optimization capability of the improved A* algorithm, the initial population distribution of the locust optimization algorithm is improved, and then the convergence speed of the locust optimization algorithm is improved.

The application discloses an acoustic intervention diagnosis and treatment integrated platform. The platform comprises a panoramic extracorporeal acoustic imaging system module, a panoramic intracorporeal acoustic imaging system module, a digital twin human-computer interaction module and a signal processing reconstruction and platform control module. The extracorporeal acoustic sensor and the intracorporeal acoustic imaging catheter respectively apply transducers to detect a to-be-detected region of a target object, and generate detection signals; the signal processing reconstruction and platform control module processes and visually reconstructs the detection signals to generate panoramic multi-scale acoustic imaging data of the to-be-detected region of the target object; and the digital twin human-computer interaction module is used for visually displaying the panoramic multi-scale acoustic imaging data. The scheme has no radiation risk and is safer, can be used in various clinical application scenarios, has a smaller occupied space compared with a DSA device, can be flexibly applied to various medical sites, and can timely and efficiently perform diagnosis and treatment.

The utility model relates to engineering detection technical field, discloses a kind of quick detection device of dry density specifically, to solve the problems such as traditional detection method operation cumbersome, low efficiency, existing radiation risk. Device core includes standard container, weighing sensor, signal conditioning circuit, single-chip microcontroller, hardware proportioning calculator, stable judging module, display screen and ventilation / heating module. Through RFID, container volume V is automatically read, weighing sensor measures soil sample mass m, proportioning calculator calculates dry density ρ=m / V in real time, and the result is output through display screen;Ventilation / heating module accelerates moisture evaporation, shortens detection time. The device has the advantages of real-time display, simple operation, avoids artificial error, no radiation risk, and is suitable for fine-grained soil, coarse-grained soil and frozen soil detection dry density requirements, etc., and is suitable for water conservancy engineering, such as earth dam filling and embankment engineering, building engineering and other fields of soil compaction quality rapid detection.

The invention discloses a real-time path planning method fusing an improved locust-dynamic window method, and the method comprises the following steps: S1, generating an initial path according to an improved A * algorithm, carrying out the global path planning of a path in a radiation environment through introducing an improved locust optimization algorithm, and determining a path from a starting point to an end point; and S2, performing local path planning according to the path through an improved DWA algorithm, and generating a planned path. By introducing a position updating strategy considering radiation distribution information and an improved adaptive comfort zone coefficient, the influence of radiation risk on path selection is reflected more truly, and the GOA position updating process is optimized. The algorithm can effectively guide the locust population to avoid a high-radiation area in a nuclear environment, and the radiation exposure risk is remarkably reduced. The initial population distribution of the locust optimization algorithm is improved by combining and improving the global optimization capability of the A * algorithm, so that the convergence speed of the locust optimization algorithm is improved.

The invention discloses a portable bedside magnetic resonance monitoring device and a use method, and belongs to the technical field of medical instruments. The device is composed of a transducer module, a magnet system, a master control and data processing module, a spectrometer system and a three-dimensional motion platform, the transducer module outputs ultrasonic signals, the magnet system is used for generating magnetic resonance signals, and the spectrometer system collects the magnetic resonance signals of brain tissue of a patient and carries out digital processing; the main control and data processing module carries out image reconstruction and display on the processed magnetic resonance signals, and the three-dimensional motion platform realizes position adjustment of the transducer module. The device can be moved to the bedside of a patient for detection, the timeliness and convenience of detection are greatly improved, the device works based on the magnetic resonance imaging principle, radiation risks do not exist, safety is high, the blood brain barrier opening effect of the patient can be dynamically monitored conveniently, and a quantitative basis can be provided for adjustment of a clinical treatment scheme.

This application discloses an intelligent monitoring system for use in radiation environments such as nuclear power plants, including data acquisition equipment, network transmission equipment, and control equipment. The network transmission equipment receives data collected by the acquisition equipment and transmits the data to the control equipment. The acquisition equipment includes fixed acquisition units and mobile acquisition units. The fixed acquisition units are installed in defined radiation risk areas within the radiation environment, while the mobile acquisition units are installed in potential radiation risk areas within the radiation environment. The network transmission equipment includes multiple network switching units and wireless network switching units, with the multiple network switching units connected to the fixed acquisition units and the control equipment. The control equipment includes control units and access control units. The intelligent monitoring system provided by this invention can provide comprehensive coverage of area monitoring and can utilize intelligent image processing technology to achieve automatic analysis, judgment, and response functions.

The invention discloses a bone surgery steel plate fixing auxiliary device, and relates to the field of medical instruments, the bone surgery steel plate fixing auxiliary device comprises a fixing seat and an adjusting mechanism movably arranged at the bottom end of the fixing seat and used for adjusting the clamping distance, clamping mechanisms used for clamping bones are symmetrically arranged at the bottom end of the fixing seat in a sliding mode, and an opening and closing mechanism is fixedly arranged on one side of each clamping mechanism; fixing mechanisms for fixing a steel plate are symmetrically and movably arranged on one side of the opening and closing mechanism, and a centering sleeve rod for centering the steel plate is fixedly arranged in the middle of the bottom end of the adjusting mechanism; the centering sleeve rod penetrates through the center of the steel plate, so that the center of the steel plate is aligned with the center of a skeleton; the clamping plate is driven by the third spring to provide reverse clamping force, and the steel plate is stably and centrally clamped by combining the silica gel pad; the steel plate slides down to the bone surface and is attached to the bone surface in cooperation with opening and closing of the check blocks, the problems that in a traditional operation, the steel plate is prone to deviating from the center and attaching is inaccurate are solved, the repeated adjustment and X-ray perspective times in the operation are reduced, and the radiation risk is reduced.

The invention discloses an acoustic interventional diagnosis and treatment integrated platform. The platform comprises a panoramic in-vitro acoustic image system module, a panoramic in-vivo intervention acoustic image system module, a digital twin man-machine interaction module and a signal processing reconstruction and platform control module. The in-vitro acoustic sensor and the in-vivo interventional acoustic image conduit respectively use transducers to detect a to-be-detected area of a target object and generate detection signals; the signal processing reconstruction and platform control module performs processing and visual reconstruction according to the detection signal to generate panoramic multi-scale acoustic image data of the to-be-detected area of the target object; and the digital twin man-machine interaction module is used for visually displaying the panoramic multi-scale acoustic image data. The scheme has no radiation risk, is safer, can be used in various clinical application scenes, occupies smaller space compared with DSA equipment, and can be flexibly applied to various medical sites and timely and efficient diagnosis and treatment work.

This invention relates to the field of radiation early warning technology, specifically to an early warning system for the radiation impact on the environment surrounding a proton therapy system. The system includes a radiation monitoring data acquisition module, a radiation spatial distribution generation module, a radiation risk level determination module, a radiation leakage analysis module, a dynamic risk information notification module, and a treatment optimization suggestion module. In this invention, by real-time monitoring and data integration of the radiation monitoring environment, the response speed and accuracy of radiation safety early warning are improved. By utilizing spatial data and radiation intensity information, a detailed radiation distribution map can be constructed, making risk assessment more intuitive and easier to understand. Accurate assessment of radiation risk allows for specific and targeted protective measures, and potential leakage points are classified according to radiation level deviations. Dynamic notification of risk information ensures that treatment personnel receive critical safety alerts in a timely manner, optimizing the treatment process and reducing the radiation risk to patients.

The invention discloses an X-ray guided minimally invasive intervention rapid positioning puncture system, and relates to the technical field of medical instruments. According to the main structural design, a rigid positioning support is manufactured through an integrated forming process and comprises a fixed arm and an adjustable movable arm which are connected through a transmission mechanism, and a three-dimensional metal scaling point set is integrated on the top of the rigid positioning support; the puncture guide module is detachably connected with the adjustable movable arm and is provided with a universal guide structure adaptive to puncture needles of various specifications; the real-time compensation module is used for capturing human body surface displacement data and transmitting the data to the control host in real time; the control host is used for receiving the X-ray image signal and the human body surface displacement data, calculating and outputting a puncture angle correction instruction, dynamically optimizing an X-ray scanning mode and being provided with a man-machine interaction interface for parameter checking and adjusting. Based on the design, the comprehensive beneficial effects that the puncture positioning precision is improved, the clinical operation convenience is optimized, the doctor-patient radiation risk is reduced, and the equipment use economy is enhanced can be achieved.

The present invention discloses a three-dimensional spine assessment method and system based on RGB images and anatomical constraints, belonging to the field of medical image analysis. The method includes: pre-processing and anatomical symmetry correction of an upright back RGB image taken by a smart mobile device in a single shot; extracting regions of interest of scapula and iliac crest landmarks using a lightweight segmentation network; generating an initial depth map through a depth estimation model that integrates a vertebral attention mechanism and a multi-constraint loss function; calibrating the initial depth map to physiological scales based on height and weight parameters; using a cascaded GAN to eliminate clothing interference and reconstruct the three-dimensional surface of the back; adaptively adjusting NURBS parameters to fit the three-dimensional curve of the spine based on biomechanical characteristics; and outputting the coronal Cobb angle, trunk rotation angle, and sagittal curvature parameters. The present invention solves the radiation risk, subjective error, and clothing interference problems of traditional methods through monocular depth estimation and dynamic assessment based on anatomical constraints.

The utility model relates to the technical field of nuclide protection, and provides a nuclear medicine split medicine injection fuming cupboard which comprises a split charging instrument, an activity meter, an injector and a shielding fuming cupboard. The shielding fuming cupboard is provided with an operation window and an injection window, the split charging instrument, the activity meter and the injector are all installed in the shielding fuming cupboard, and the split charging instrument is configured to split charging medicine and conduct activity detection through the activity meter, so that the dosage of the medicine is the target dosage, and the target dosage of the medicine is conveyed to the injector. The split charging instrument configures a target dose of medicine according to user requirements and delivers the prepared medicine to the injector, at the moment, an operator can stretch the hand into the shielding fuming cupboard through the operation window to pick up the injector, and meanwhile, the hand of a patient is placed close to the injection window, so that the patient can take the medicine out of the injection window. Therefore, an operator can inject the medicine in the injector into the body of a patient. In this way, the unnecessary radiation risk in the process is avoided while the split charging precision and efficiency are improved.

The embodiment of the invention relates to the technical field of radioactive substance sorting, in particular to a method for sorting samples in a hot cell, the samples have high radioactivity, and the method comprises the steps that feature images of simulation samples without radioactivity are obtained, the feature image of the simulation sample without radioactivity is similar to the feature image of the sample with high radioactivity; dispersing the mixed samples; obtaining an image of the dispersed sample; according to the obtained feature image, identifying an image with a predetermined feature from the obtained image of the sample; a sample corresponding to the image of the predetermined feature is picked up and placed at a predetermined position. By means of the method, multiple kinds of high-radioactivity samples can be accurately recognized and sorted in the high-radioactivity environment in the hot chamber, compared with an existing sorting mode, the accuracy and efficiency are higher, the radiation risk existing in manual operation can be avoided, and the sorting efficiency is improved. And the sorting safety is effectively improved.