33 results about "Target dose" patented technology

The invention provides a radiotherapy plan generation method and device, equipment and a medium, and the method comprises the steps: obtaining a target function image of a target object; the target function image comprises a target region, an organ at risk and a target part; determining target dose information of the target part based on the target function image, the target function partitioning result, the target region segmentation result and the endangered organ segmentation result; the target function partitioning result is used for indicating spatial distribution of a plurality of functional regions of the target part divided according to the functional state, and the target dose information comprises doses of different regions of the target part; and generating a radiotherapy plan based on the target dose information. By applying the embodiment of the invention, the set dose information of the target part is more reasonable, so that the radiotherapy plan generated based on the target dose information can ensure the accuracy of tumor control, reduce the risk of radioactive injury and realize targeted protection of the target part.

The invention provides a dose optimization method and device, equipment and a medium, and the method comprises the steps: obtaining a functional image of a target object and the initial dose information of a target part; the functional image comprises a target part, and the initial dose information comprises initial doses of different areas in the target part; determining a damage prediction result of the target part through a pre-trained damage prediction model based on the functional image and the initial dose information; the damage prediction result is used for indicating the probability of radioactive damage at each position in the target part; based on the damage prediction result, optimizing the initial dose information to obtain target dose information of the target part; the target dose information comprises target doses of different areas in the target part. By applying the embodiment of the invention, the dose optimization effect can be ensured, the risk of radioactive injury of the target part is reduced, and the protection effect on the target part is improved.

The present disclosure provides a radiotherapy plan generation method, comprising: obtaining object information of a target object, the object information comprising at least medical image information and a treatment target of the target object; calculating a field intensity distribution according to the object information, the field intensity distribution comprising a plurality of dose grids and beam information of a corresponding beam of each dose grid; selecting a target dose grid from each dose grid based on a difference between an actual dose of each dose grid and a target dose; constructing an inverse optimization problem according to each target dose grid; and solving the inverse optimization problem to generate a radiotherapy plan.

Embodiments of this disclosure provide a method, apparatus, and storage medium for electron beam exposure correction. The method includes: determining a first dose distribution for electron beam exposure by performing electron beam proximity effect correction on a target pattern based on a predetermined dose distribution, the first dose distribution indicating a set of dose adjustment values ​​for compensating for scattering effects during electron beam exposure on the target pattern; determining a second dose distribution for electron beam exposure by performing electron beam haze effect correction on the target pattern based on the first dose distribution, the second dose distribution indicating a set of dose adjustment values ​​for compensating for haze effects during electron beam exposure on the target pattern; and determining a target dose distribution for electron beam exposure by performing electron beam proximity effect correction on the target pattern based on the first and second dose distributions.

The invention discloses an ion implantation method, medium and system for a semiconductor wafer, and the method comprises the following steps: S1, receiving dose ratio parameters of a plurality of concentric circle regions inputted by a user, and calculating the target dose of each region according to the total dose; s2, according to the calibration positions of the wafer target disc center and the beam current center, the beam current height and the radius parameter of each area, calculating the variable speed position coding value of each area in the vertical scanning direction; s3, based on the target dose, the injection speed of each region is calculated; s4, in a single vertical scanning process, dynamically adjusting the scanning speed of the wafer according to the variable-speed position coding value, and realizing variable-speed injection corresponding to different injection speeds in different areas; and S5, rotating the wafer to the next orientation, and repeating the step S4 until injection of all set orientations is completed, thereby realizing dose distribution of concentric circles or specific patterns. The method has the advantages that customizable dose distribution of specific graphs such as concentric circles can be realized, and the like.

This application relates to a statistical analysis method and apparatus. The method includes: acquiring multiple target dose reports; each target dose report including inspection object information, inspection item information, and inspection equipment information; performing statistical analysis on the multiple target dose reports to determine evaluation results; the evaluation results include at least one of an evaluation result on the inspection dose, an evaluation result on the inspection effect, and an evaluation result on the inspection equipment. The statistical analysis method provided in this application obtains evaluation results through statistical analysis of the target dose reports, thus achieving full utilization of the target dose reports.

The invention relates to a small-dose automatic metering, subpackaging and storing device and a control method thereof, and relates to the technical field of medical medication configuration and intravenous infusion dosing assistance. The intelligent metering injection unit is arranged in the shell and is used for fixedly mounting a disposable syringe; the piston displacement detection assembly is used for detecting piston displacement in real time; the piston driving and locking mechanism is used for driving the piston of the disposable syringe to automatically shift and be locked at a target dose position; the main control module is used for calculating the actual dose according to the piston displacement; wherein the intelligent metering injection unit provides axial guidance for the disposable syringe, the main control module controls the piston driving and locking mechanism according to the actual dose calculated by the piston displacement detection assembly, and closed-loop metering is achieved. High-precision control over insulin small-dose intravenous dosing can be achieved, the pollution risk caused by pumpback or repeated puncture is avoided, and the actual use loss of insulin injection is reduced on the whole.

This application provides a radiation control method for a radiation device, wherein the radiation device has a fixed unit. The method includes: communicating with a portable unit carried by a target object through the fixed unit to determine the relative position information between the radiation device and the target object; determining a radiation strategy of the radiation device based on at least one of a first radiation dose emitted by the radiation device detected by the fixed unit and a second radiation dose received by the target object detected by the portable unit, and the relative position information; and adjusting the radiation dose to be emitted by the radiation device according to the target dose range indicated by the radiation strategy. This application also provides a radiation control system, device, storage medium, and program product.

The invention provides a dose prediction model training method and device, equipment and a storage medium, and belongs to the technical field of artificial intelligence. According to the method, the dose prediction model for determining the dose distribution based on the target imaging image is trained, so that when the dose distribution is determined, the dose distribution can be rapidly determined through the dose prediction model, multiple iterative calculations are not needed, the time consumption is obviously shortened, and the efficiency is improved. Moreover, training is performed based on a gradient of a model loss function with respect to a model parameter, and the model loss function is not only related to a difference between a predicted dose distribution and a target dose distribution, but also related to a difference between an imaging image predicted based on the predicted dose distribution and a target imaging image. In this way, after the dose prediction model is obtained through training, photoetching is carried out through the determined dose distribution, the quality of an imaging image can be improved, that is, the dose distribution is determined through the dose prediction model, efficiency is high, and accuracy is high.

This invention discloses a method and system for re-optimizing radiotherapy plans based on target inheritance and photon flow reset, relating to the fields of medical physics and radiotherapy technology. The method includes obtaining the initial radiotherapy plan for a patient from a treatment planning system; extracting a patient-specific target set from the initial radiotherapy plan to form a configuration file independent of the initial radiotherapy plan; and prohibiting modification of the configuration file in subsequent optimizations to achieve target freezing, resulting in a frozen target set. This invention, through a strategy combining target inheritance, freezing, and photon flow reset, enables the optimizer to break free from the constraints of the initial plan's historical parameters and restart the global search from a blank state, under the same clinical intent. This fundamentally breaks the local optimum locking caused by path dependence in traditional inverse optimization, systematically and significantly reducing the dose to organs at risk while maintaining target dose compliance, thus achieving a deterministic improvement in plan quality.

The application provides a dose distribution generation method and device and electronic equipment, which can be applied to the technical field of medical image processing. The method comprises the following steps: determining an initial intensity distribution map according to a predicted dose distribution matched with target tissue contour data of a target object; optimizing the initial intensity distribution map by using a target optimization function and a target constraint condition to obtain a target intensity distribution map, the target optimization function is used to optimize the boundary beam intensity of the initial intensity distribution map in a boundary region, the target constraint condition is used to constrain the proportion of target voxels in the boundary region, which exceeds a preset boundary dose threshold, to be less than a preset proportion threshold, the boundary region represents the region of the boundary between the organ tissue region and the tumor tissue region, and the boundary conversion dose is obtained by converting the boundary beam intensity based on an intensity dose conversion factor; and determining a target dose distribution representing the deposition of simulated radiation irradiating the tumor tissue region and the organ tissue region according to the target intensity distribution map.

The invention provides a pelvic tumor multi-center, multi-tumor-species and multi-prescription dose prediction method and related equipment, and is applied to the technical field of data processing. The method comprises the following steps: preprocessing a training sample set to generate a training sample set with target feature data; processing a preset dose distribution processing model based on a SwinTransform network architecture based on the training sample set with the target feature data, and generating a target dose distribution processing model; performing feature extraction processing on the CT image information of the target user to generate a target feature vector; processing the physiological state information of the target user to generate a dose limiting factor of the target user; processing the physiological parameter information of the target user to generate a dynamic dose influence factor of the target user; and processing the target feature vector, the dose limiting factor of the target user and the dynamic dose influence factor of the target user based on a target dose distribution processing model to generate target dose distribution information.

This application relates to the field of medical imaging, and in particular to a method for descattering breast images, a breast X-ray machine, a computer device, and a storage medium. The method includes: pre-exposing multiple equivalent phantoms based on a preset dose value to obtain pre-exposed images corresponding to each of the equivalent phantoms; performing descattering processing on each of the pre-exposed images based on the compression thickness and composition of each equivalent phantom to determine the coupling relationship between a target grayscale value and the compression thickness and composition; determining a target dose value based on the compression thickness, composition, and coupling relationship of the target breast; and performing formal exposure on the target breast based on the target dose value to obtain a formally exposed image. This invention employs a gridless descattering method to descatter the pre-exposed images, enabling more accurate determination of the target dose value.

The present application relates to the medical physics technical field, disclose a kind of radiotherapy dose prediction method, device, equipment and medium.The method comprises: obtaining the medical image of the radiotherapy region of patient, including the multiple two-dimensional slice images of radiotherapy region, planned target volume and organ at risk in radiotherapy region are region of interest;Each two-dimensional slice image and its adjacent two-dimensional slice image are input into conditional diffusion generation network, with the anatomical information of its region of interest as control condition, guide the process of gradually denoising of the noise map generated by diffusion model to the random dose distribution map of radiotherapy region, generate initial dose distribution map;Two-dimensional slice image is input into dose calibration network, and the dose of its region of interest is predicted, to calibrate the dose of region of interest in initial dose distribution map, generate target dose distribution map;The three-dimensional dose distribution of patient radiotherapy is determined in combination with the target dose distribution map of all two-dimensional slice images.

The application provides an exposure dose control method based on an exposure dose control system, which comprises the following steps: controlling a shutter to open; receiving an energy value collected by an energy sensor, determining an accumulated exposure dose value based on the energy value; determining whether the accumulated exposure dose value is not less than a target dose value; if the accumulated exposure dose value is not less than the target dose value, controlling the shutter to start to close; taking the accumulated exposure dose value corresponding to a shake delay end moment after the shutter is completely closed as an actual accumulated exposure dose value; determining an exposure dose error value based on the actual accumulated exposure dose value; determining whether the exposure dose error value meets a requirement; if the exposure dose error value does not meet the requirement, updating an equivalent dose value and returning to execute the first step; if the exposure dose error value meets the requirement, applying the equivalent dose value to an exposure system. Through the exposure dose control method based on the exposure dose control system, the problem of low exposure dose control precision is solved.

The invention discloses a dose control method for a human body X-ray security inspection device, and the method comprises the steps: obtaining a height value (H) and a weight value (W) of a detected person before scanning, and calculating a weight-height ratio (R) of the detected person; calculating a target dose value Dtarget according to a formula Dtarget = D0 + K * R; the target dose value is compared with preset dose upper and lower limits (Dmax, Dmin) to determine a final emission dose (final dose value Dfinal). Personalized adjustment of the scanning dose is carried out according to the obesity degree (quantified through the weight-height ratio) of the detected person, and unnecessary radiation irradiation on the detected person with a thin and small body shape can be reduced; meanwhile, compared with traditional X-ray scanning with a fixed dose value, an image with a higher signal-to-noise ratio and clearer details can be obtained for an obese detected person, so that a security check person can identify dangerous articles possibly existing in the image, and the accuracy and safety of security check are improved.

The invention relates to the technical field of medical physics, and discloses a radiotherapy dose prediction method and device, equipment and a medium. The method comprises the steps that a medical image of a radiotherapy area of a patient is acquired, the medical image comprises a plurality of two-dimensional slice images of the radiotherapy area, and a planned target area and an organ at risk in the radiotherapy area are areas of interest; inputting each two-dimensional slice image and the two-dimensional slice image adjacent to the two-dimensional slice image into a conditional diffusion generation network, and by taking anatomical information of a region of interest of the conditional diffusion generation network as a control condition, guiding a process of gradually denoising a noise graph generated by adding noise to a random dose distribution graph of a radiotherapy region by a diffusion model to generate an initial dose distribution graph; inputting the two-dimensional slice image into a dose calibration network, predicting the dose of the region of interest of the two-dimensional slice image, calibrating the dose of the region of interest in the initial dose distribution diagram, and generating a target dose distribution diagram; and determining the three-dimensional dose distribution of the radiotherapy of the patient by combining the target dose distribution diagrams of all the two-dimensional slice images.

The present application relates to the technical field of radiotherapy control, and discloses a treatment control method and system for AB-BNCT. The method comprises the following steps: sending a beam-out condition verification request and a beam-out safety verification request in response to a beam-out request; sending a beam-out button display instruction after receiving the pass results, so that the beam-out button is displayed based on a preset state; monitoring main real-time beam data in real time in response to a state change of the beam-out button; determining a main real-time neutron absorption dose based on the main real-time beam data; and sending a beam control instruction to an accelerator based on the main real-time neutron absorption dose and a target neutron absorption dose, so that the accelerator controls the beam in response to the beam control instruction. By comparing the real-time dose with the target dose, the treatment is continued or stopped, and the accuracy of the treatment and the safety of the patient are ensured. The present application solves the technical problems of low safety and dose verification lag in the existing AB-BNCT treatment, and improves the safety and efficiency of AB-BNCT treatment.

The invention discloses an ultraviolet phototherapy dose control system and method based on a photosensitive material, and the system comprises an ultraviolet light source module, a photosensitive detection unit, an optical collection unit, a core control unit, a man-machine interaction unit, and an alarm and reset unit. The optical detection unit collects optical signals of the test paper in real time, the control unit compares the signals with a target dose threshold value and controls a light source to be started and stopped, and the method comprises the steps of target setting, synchronous irradiation monitoring, threshold value comparison execution and alarm reset. The real dose fed back by the photosensitive material is used as a control target, closed-loop control can be constructed by automatically adapting to the problem of irradiance attenuation caused by long-term use of the ultraviolet lamp tube, accurate dose control is achieved, treatment safety and consistency are improved, the operation process is simplified, and the equipment state can be indirectly diagnosed.

This invention discloses a method and system for optimizing hypoxia in carbon ion radiotherapy based on a local effect model, belonging to the field of radiotherapy technology. The method constructs a mapping between dose-average linear energy transfer density (LETd) and oxygen gain ratio (OER), incorporating the OER value corresponding to LETd into the calculation process of the maximum relative biological effect (RBEmax) parameter of the LEM, generating an OER-calibrated hypoxic LEM; acquiring patient images, treatment plans, tumor target volume (GTV), clinical target volume (CTV), and hypoxic regions; calculating voxel LETd and assigning region labels; calling the hypoxic LEM for hypoxic regions, and calling the standard LEM for target voxels and normal tissue voxels outside the hypoxic region; iterative optimization through an objective function including target dose deviation, insufficient LETd in hypoxic regions, insufficient RBE-weighted dose (RBE dose), insufficient OER improvement, and penalties for exceeding organ limits, and recalculating and evaluating using the standard LEM.

The invention discloses a precise irradiation system and irradiation method for neutron irradiation breeding, and the system comprises a thermal neutron source which is used for generating a thermal neutron beam; the capillary neutron lens is used for focusing the thermal neutron beam; the seed conveying device is used for adsorbing and conveying seeds, so that the embryo parts of the seeds are aligned with the beam focus position of the capillary focusing lens; a high-purity germanium detector and a collimator; the activation foil assembly is arranged at a position adjacent to the seed embryo part target region; the controller is respectively connected with the thermal neutron source, the capillary neutron lens, the vacuum adsorption type seed conveying device and the high-purity germanium detector, and is used for setting the pulse frequency of the thermal neutron beam and the conveying frequency of the seed conveying device according to the designed irradiation dose; and obtaining the neutron effective dose of the seed embryo target region based on the gamma energy spectrum in combination with inversion of an activated foil analysis method, and adjusting at least one beam parameter and / or the transmission frequency in real time according to the deviation between the neutron effective dose and the target dose so as to realize quantitative irradiation of the single seed embryo.

An implantable device for controllably delivering neural stimuli repeatedly delivers a probe stimulus according to a probe stimulus intensity; measures an intensity of an evoked neural response in a signal window captured subsequent to the probe stimulus; adjusts, using a feedback controller, the probe stimulus intensity so as to maintain the measured neural response intensity at or near a target response intensity; determines a therapy stimulus intensity based on the adjusted probe stimulus intensity; and controls delivery of a therapy stimulus according to the adjusted therapy stimulus intensity. The target response intensity is configured such that the therapy stimuli are delivered at or near a target dose metric as posture varies.

The invention provides a radiotherapy plan generation method, and the method comprises the steps: obtaining the object information of a target object, and the object information at least comprises the medical image information of the target object and a treatment target; according to the object information, radiation field intensity distribution is calculated, and the radiation field intensity distribution comprises a plurality of dose grids and beam information of beams corresponding to the dose grids; based on the type of each dose grid, selecting a target dose grid from each dose grid; constructing a reverse optimization problem according to each target dose grid; and solving a reverse optimization problem, and generating a radiotherapy plan.

The invention discloses a medication management method and device based on an AI decision engine, a medium and equipment, relates to the technical field of health management, can be applied to a medical health business scene, and comprises the following steps: collecting multi-dimensional data of a user; dynamic fusion and intelligent analysis are carried out on the multi-dimensional data of the user through an AI decision engine, a preliminary drug use recommendation scheme is generated, and the preliminary drug use recommendation scheme comprises a target drug use opportunity window matched with the real-time state of the user and a target dose recommendation value; performing risk optimization processing on the preliminary drug use recommendation scheme, submitting the preliminary drug use recommendation scheme to a doctor terminal, and forming a final drug use recommendation scheme after receiving a confirmation instruction of the doctor terminal; and based on the final medication recommendation scheme, the intelligent device is linked to execute medication management operation, and the final medication recommendation scheme is synchronously presented to the user terminal. According to the method, the medication opportunity and dosage can be adjusted according to the real-time change of the individual health indexes of the user, and the core requirements of the user for dynamic, safe and personalized medication management are met.

The present disclosure provides a dose prediction method, comprising: generating an initial vector based on initial prescription information and patient structure data; generating an initialization parameter based on the initial vector; generating an initial dose distribution according to the initialization parameter; and adjusting the initial dose distribution based on a plurality of agents to generate a target dose distribution, wherein a single agent is responsible for at least partial adjustment in the initial dose distribution. The present disclosure also provides an apparatus and an electronic device for performing the method.

The invention discloses intelligent hammering machining equipment based on curved surface dose closed-loop control and a control method, and relates to the field of surface strengthening and equipment control, and the intelligent hammering machining equipment comprises the specific steps that a curved surface normal field and a danger coefficient heat map of a workpiece are obtained; according to the curved surface normal field, the posture of the tool is controlled, and the included angle between the axis of the tool and the curved surface normal of the workpiece is limited within a preset range; and setting a target dose according to the danger coefficient heat map, and dynamically adjusting the energy parameter of hammering and / or the step pitch and frequency of hammering according to the included angle by adopting a dose closed-loop control strategy, so that the real-time dose approaches the target dose. According to the method, a unified coordination system is constructed, the normal field of the curved surface is obtained, real-time accurate alignment of the tool axis and the normal direction of the curved surface is achieved, and energy projection loss caused by attitude deviation is fundamentally eliminated in combination with the energy compensation law based on the included angle.

The application provides a Monte Carlo dose calculation method and device based on kernel density estimation, equipment and medium, and relates to the technical field of dose calculation; the method comprises the following steps: establishing a corresponding transport model according to three-dimensional image data; establishing a virtual model according to the transport model, the virtual model comprising a plurality of second grids; determining the medium density ratio between each first grid and the corresponding second grid; determining the corresponding deposited energy of each first grid after the corresponding medium has a collision reaction according to the medium density ratio and the kernel density function; determining the target dose value of the radioactive particle according to each deposited energy and the mass of the corresponding medium of each first grid in each first grid; the kernel density estimation is combined with the virtual collision, so that a single collision of particles can contribute to the whole space dose distribution, the number of simulated particles is effectively reduced, the Monte Carlo dose calculation efficiency is improved, and the application of the Monte Carlo dose calculation method in the field of radiotherapy and the like is further promoted.

The invention discloses a laboratory spin-coating film-making device, and relates to the technical field of spin-coating film-making, and the laboratory spin-coating film-making device comprises a spin-coating machine used for placing a target piece to be spin-coated; the automatic liquid supply module comprises a controller, and the controller is used for determining a target dosage matched with a target thickness based on the set target thickness, and controlling the spin coater to drive the target piece to rotate after a spin coating solution of the target dosage is dropwise added to the surface of the target piece; the spin-coating solution forms a spin-coating film layer with a target thickness on the surface of the target piece based on the rotation of the target piece; the automatic liquid supply module is further used for collecting detection parameters related to the thickness of the spin-coating film layer and controlling spin-coating process parameters of the spin-coating machine based on the detection parameters. According to the embodiment of the invention, the integration of the device can be realized through the multifunctional integrated automatic liquid supply module, the space of a plurality of single machines does not need to be additionally occupied, and the device is suitable for high-precision spin-coating film preparation in a laboratory scene.

Described herein is a method of operation of a spot spray control system for spraying agrochemicals on target objects using a moveable spray assembly. The method comprises receiving a three-dimensional map of a first spray window generated by an imaging system, the three-dimensional map defining positions of one or more target objects and the one or more target objects comprising portions of target objects at different distances from the spray bar. The portions of the one or more target objects are divided into a plurality of groups as a function of their distance from the spray bar, each group defining a target area. A pattern of spot sprays is determined for each target area, such that for a target area, a cumulative two-dimensional liquid spatial distribution of the spot sprays in the pattern for the target area satisfies pre-defined target dose parameters.

The application relates to the field of artificial intelligence medicine and medical health technology, and proposes a prediction method and device for an anti-aging drug combination, equipment and a medium, wherein the method comprises the following steps: acquiring a personal multi-omics expression profile of a target drug use population, wherein the multi-omics comprises a genome, an RNA group, a protein group, a post-translational modification group and a metabolome; according to the personal multi-omics expression profile and a pre-trained multi-omics expression profile perturbation prediction model, the perturbation parameters of the target multi-omics corresponding to the target drug combination under different doses are predicted; and according to the perturbation parameters of the target multi-omics under each dose of the target drug combination, it is determined whether the target drug combination is a potential anti-aging drug combination and the corresponding target dose. Through the technical scheme, an effective anti-aging drug can be comprehensively, efficiently and accurately found from the perspective of systems biology.