275 results about "Dose distribution" patented technology

The invention discloses a BNCT dose calculation method, which comprises the following steps: S1, constructing a voxel model, initializing one or more particles in a simulation system, and respectively acquiring the initial position, energy and movement direction of each particle; s2, adaptively selecting a Monte Carlo particle tracking algorithm and a flux counting mode based on the region where the particles are located and the energy of the particles; s3, repeating the step S2 until the particles leave the simulation system or are killed when meeting a truncation condition; and S4, cumulatively calculating dose distribution. Through the BNCT dose calculation method, the Monte Carlo particle transport simulation time is greatly shortened, the BNCT dose calculation efficiency is optimized, and the method is suitable for rapid and high-precision radiation dose simulation under a BNCT complex tissue structure.

The invention provides a non-equidistant lattice distribution optimization method based on local dose constraint. The method comprises the following steps: generating an initial lattice based on a patient image and a delineated target region; calculating and storing a dose kernel in advance based on a Monte Carlo algorithm; calling a dose core to carry out rapid dose optimization and calculation; establishing an independent peripheral subspace dose evaluation region and a local dose constraint condition for each lattice target region; establishing a multi-objective function for lattice target region position optimization; dynamically adjusting lattice positions and intervals by using a rapid simulated annealing method or a gradient descent method until target region position distribution and dose distribution meeting a dose multi-objective function and constraint conditions are generated; according to the invention, through dynamic adjustment of the lattice spacing and position and combination of the patient specific anatomical structure, accurate control of the valley dose around each lattice is realized, so that the problems of non-uniform target dose distribution and insufficient valley dose control in traditional equal spacing lattice radiotherapy are solved.

The invention discloses an ultra-high dose rate radiotherapy plan optimization system based on compensator modulation, and relates to the technical field of radiotherapy. A data acquisition module is used for acquiring medical image data of a patient and receiving a clinical target; the clinical target comprises a target region prescription dose, an organ-endangering limit and a minimum dose rate threshold value required for triggering and maintaining a FLASH effect; and the FLASH biological effect evaluation module is used for calculating FLASH biological effective dose distribution corresponding to the physical dose distribution through an embedded biological effect model based on the input physical dose distribution and dose rate distribution. According to the method, the physical dose is converted into the accurate FLASH biological effective dose through the improved linear quadratic model embedded with the FLASH correction factor, the target tumor killing effect is guaranteed, normal tissue protection is enhanced with the help of the tissue differentiation correction factor, the industrial pain point that the physical dose reaches the standard but the biological effect does not reach the expectation is effectively solved, and the application prospect is wide. And the treatment plan better meets the clinical curative effect and safety core requirements.

The invention provides a pencil beam dose calculation method. The pencil beam dose calculation method comprises the following steps: acquiring human body image data; determining a plurality of particle types for treatment; calculating initial pencil beam dose distribution corresponding to each particle type; based on the particle types, target action layers, distributed in the human body image data, of all the doses are determined, and the positions of the target action layers corresponding to different particle types are different; based on the target action layer corresponding to each particle type, adjusting each initial dose distribution, and obtaining particle pencil beam dose distribution corresponding to each particle type; superposing the particle pencil beam dose distribution corresponding to each particle type to obtain target pencil beam dose distribution; wherein the dose proportion of the particle pencil beam dose distribution corresponding to the same particle type in the target action layer is greater than the dose proportion of the particle pencil beam dose of the particle type in other parts in the human body image data.

The invention relates to the technical field of computers, and discloses an automatic segmentation and intelligent plan generation method and device suitable for self-adaptive radiotherapy of prostate cancer. Comprising the following steps: acquiring medical image data of a treated object, clinical dose data of a target area and an organ at risk in a focus area of the treated object, and clinical treatment data of a preset priority level; performing automatic segmentation based on the medical image data to obtain target segmentation data; performing dose distribution prediction according to the target segmentation data to obtain initial dose distribution data, and performing iterative optimization on the initial dose distribution data by using clinical treatment data to obtain target dose distribution data of the treated object; and performing iterative optimization of a radiotherapy plan based on the target dose distribution data, and generating a target radiotherapy plan of the treated object. Therefore, on the basis of realizing accurate, efficient and automatic segmentation of the prostate cancer target region and the endangered organ, multi-round iterative optimization of dose distribution and the radiotherapy plan is carried out, and finally a high-quality target radiotherapy plan is obtained.

The present disclosure provides systems and methods for automated scan preparation and real-time monitoring / adjustment in medical imaging. The automated scan preparation may include positioning a target subject to be scanned by a medical imaging device, determining a rotation scheme of the medical imaging device, targeting a scan region of the target subject with an imaging isocenter of the medical imaging device, determining target position(s) of component(s) of the medical imaging device, performing a virtual scan, generating a reference subject model representing an internal structure of the target subject, or the like. The real-time monitoring / adjustment operations may include achieving automatic brightness stabilization, monitoring a posture of the target subject, adjusting the position of component(s) of the medical imaging device, estimating a dose distribution, monitoring a treatment of the target subject, performing a motion correction, or the like.

The invention relates to a self-adaptive radiotherapy plan determination method, a self-adaptive radiotherapy system and a storage medium. The method comprises the following steps: acquiring a current region-of-interest segmentation result and current image features corresponding to a current image of an object; according to the segmentation result of the current region of interest and the current image features, candidate radiotherapy plans are selected from a plan library of the object, and the plan library comprises historical images of the object and corresponding historical radiotherapy plans; calculating a calculated dose distribution corresponding to the current image based on parameters in the candidate radiotherapy plan; determining the applicability of the candidate radiotherapy plan for the current image according to the calculated dose distribution, the segmentation result of the current region of interest and the features of the current image; and the target radiotherapy plan for the current image is determined based on the applicability, so that the generation efficiency and effectiveness of the adaptive radiotherapy plan are improved.

The invention provides a particle dose determination method and device, electronic equipment and a storage medium, and relates to the field of physics and computers, in particular to application of physics and computer technologies in the field of radiation medical treatment. The particle dose determination method comprises the following steps: respectively guiding a particle beam to move through M groups of scanning parameters to obtain a plurality of transverse radiation field dose distribution data; wherein each group of scanning parameters corresponds to a plurality of transverse radiation field dose distribution data, and M is a positive integer; according to the plurality of transverse radiation field dose distribution data, calculating to obtain a plurality of first radiation field dose distribution data corresponding to each group of scanning parameters; wherein the dimension of the first radiation field dose distribution data is higher than that of the transverse radiation field dose distribution data; based on scanning parameters and the first radiation field dose distribution data, obtaining a target model used for determining radiation field center dose distribution; and inputting the target scanning parameter into the target model, and determining the delivery dose according to the target radiation field center dose distribution output by the target model.

Systems and methods for evaluating and presenting robustness of a radiotherapy treatment plan for use in radiotherapy are discussed. An exemplary system includes a processor to generate, in a radiation simulation in accordance with the treatment plan under evaluation, dose distributions at an anatomical structure under a nominal condition and one or more artificially imposed uncertainty conditions, determine a dose distribution characteristic for the anatomical structure using the received dose distributions, and generate a robustness indicator of the treatment plan. The dose distributions may be determined at a target structure and one or more structures at risk, and presented graphically in a three-dimensional dose-volume-structure space. An output circuit can output the dose distribution characteristic or the robustness indicator to a user or a treatment planning system.

The invention relates to the technical field of intelligent disinfection, and discloses an intelligent ultraviolet disinfection control system and method based on environmental perception, and the system comprises an information extraction module, a radiation model construction module, a dose distribution module, a disinfection module, a data feedback module and a disinfection termination module. Wherein an initial model is constructed based on three-dimensional point cloud data and reflectivity characteristics, reflectivity compensation is performed on the initial model, and an ultraviolet radiation field attenuation model is obtained; coupling the ultraviolet radiation field attenuation model with an ultraviolet sterilization threshold database to obtain an ultraviolet dose spatial distribution map; the to-be-disinfected object is disinfected according to the ultraviolet dose space distribution diagram; dynamically correcting the ultraviolet radiation field attenuation model based on irradiance feedback data of the to-be-disinfected object during disinfection to obtain an ultraviolet dose regulation and control instruction of the to-be-disinfected object; when the ultraviolet dose regulation and control instruction reaches a biosafety threshold value, the disinfection process is terminated; the intelligent disinfection efficiency can be improved.

Disclosed herein are systems and methods for adapting and / or updating radiotherapy treatment plans based on biological and / or physiological data and / or anatomical data extracted or calculated from imaging data acquired in real-time (e.g., during a treatment session). Functional imaging data acquired at the time of radiation treatment is used to modify a treatment plan and / or dose delivery instructions to provide a prescribed dose distribution to patient target regions. Also disclosed herein are methods for evaluating treatment plans based on imaging data acquired in real-time.

The invention relates to the technical field of dosimetry, in particular to a rapid dose evaluation method and device for individualized targeted radionuclide treatment.The method comprises the steps that labeled nuclides, drug ligands and image data of a patient are obtained, and corresponding standard S values are selected according to the labeled nuclides and the drug ligands; the method comprises the following steps: segmenting first-time-phase CT image data to obtain a segmentation mask of a target organ, calculating an individualized S value based on the segmentation mask, generating an individualized voxel model, registering the SPECT image data and the CT image data to obtain organ-level source item parameters and voxel-level source item parameters, and calculating an individualized S value based on the individualized voxel model to obtain an organ-level source item parameter and a voxel-level source item parameter; and according to the organ-level source item parameter and the voxel-level source item parameter, respectively obtaining an organ-level dose evaluation result and a voxel-level dose evaluation result, and comprehensively evaluating source target organ dose distribution. Therefore, the problems that the dose conversion coefficient lacks calibration, the voxel model is difficult to balance the calculation speed and precision and the like are solved, errors caused by individualized differences are reduced, and the calculation accuracy and speed are guaranteed.

The invention discloses a U-shaped groove grating ion beam etching method based on a mask shadow effect, and relates to the technical field of U-shaped groove etching, and the method comprises the steps: placing a substrate with a photoresist grating mask in an inclined manner, and enabling an ion beam to bombard the photoresist grating mask in an inclined incidence manner; through a shadow effect generated by a photoresist grating mask on an ion beam, the etching dose distribution of different areas on the surface of a substrate is regulated and controlled, so that the etching dose of the central area of the groove bottom is greater than that of the areas on the two sides, and the U-shaped groove with a smooth and gradually-changed bottom contour is directly etched and formed. By constructing the smooth transition U-shaped groove bottom structure, sharp edges and corners are thoroughly eliminated, and the phenomenon of electric field concentration is remarkably relieved, so that the damage risk under high-power laser irradiation is effectively reduced, the stability of the grating in an extreme environment is improved, and the service life of the grating in the extreme environment is prolonged.

The invention relates to the technical field of radiotherapy dose analysis, in particular to a radioactive cardiotoxicity prediction system based on multi-modal dynamic fusion and a quantitative evaluation method. According to the system, medical images, radiotherapy plans and clinical parameters are acquired through the multi-modal data acquisition module; the image preprocessing and three-dimensional reconstruction module processes the image data and reconstructs a heart model containing a substructure; the dynamic dose module is combined with the four-dimensional respiratory gating image and the dose matrix to generate time sequence dose distribution; the feature fusion and prediction module extracts multi-modal features, performs calculation by using a graph convolutional network, a long-short term memory network and an attention mechanism, and outputs a cardiotoxicity risk quantitative index; and finally generating a heart substructure level risk thermodynamic diagram and a structured report. According to the method, dynamic dose modeling, heart substructure level refined analysis, multi-source information fusion and individualized prediction are realized, and the accuracy, interpretability and clinical auxiliary decision-making value of cardiac toxicity risk assessment are remarkably improved.

The invention relates to the technical field of medical treatment, in particular to a deformation registration method and system, a self-adaptive treatment planning method and a treatment planning system which are used for improving the accuracy of image deformation registration, and the method comprises the steps: obtaining a plan image, a fractional image and dose distribution data corresponding to an initial treatment plan of a patient; inputting the plan image, the graded image and the dose distribution data corresponding to the initial treatment plan of the patient into a trained deformation registration model, performing deformation registration on the graded image and the plan image, and outputting a deformation field; wherein the trained deformation registration model is obtained based on dose distribution consistency loss training between dose distribution data corresponding to the initial treatment plan and deformation dose distribution data corresponding to the deformation field.

The invention relates to the technical field of radiotherapy, and discloses a method for generating a boron neutron capture therapy plan, computer equipment and a storage medium. Comprising the following steps: based on current state data of neutrons, determining first section data, second section data and a current transport distance of the neutrons at a current position, and judging whether the neutrons collide or not; wherein the first cross section data is used for describing the macroscopic cross section of nuclides except boron, and the second cross section data is used for describing macroscopic cross section neutrons obtained through calculation according to the boron concentration of the current grid and the microcosmic cross section of the nuclide boron; and under the condition that neutrons do not collide and the neutrons are transmitted from the current grid to the next grid through the surface, if the two grids are made of the same material, updating the second cross section data based on the boron concentration of the next grid to calculate the dose, and finally generating a boron neutron capture therapy plan by using a dose distribution calculation result. Therefore, only the cross section data related to the boron concentration is updated in the penetrating surface, and the calculation efficiency is optimized.

The invention discloses an AI auxiliary radiotherapy dose intelligent optimization device, which comprises a multi-modal image fusion module, a dose distribution prediction module, a dynamic adaptive optimization module and a prognosis model integration module, and is characterized in that the multi-modal image fusion module is used for aligning anatomical features of different images, eliminating respiratory motion artifacts and predicting the dose distribution of the different images; the dose distribution prediction module is used for rapidly predicting radiotherapy dose distribution based on anatomical features and historical data, the dynamic adaptive optimization module is used for monitoring anatomical changes in real time and dynamically adjusting a dose plan, and the prognosis model integration module is used for quantifying correlation between dose distribution and radioactive injury risks. High-precision alignment and respiratory motion artifact elimination of an anatomical structure are achieved through the multi-modal image fusion module, three-dimensional dose calculation is rapidly and accurately conducted through the dose distribution prediction module, organ displacement and deformation are effectively coped with through the dynamic self-adaptive optimization module through a real-time image monitoring and reinforcement learning algorithm, and the accuracy of the three-dimensional dose calculation is improved. And the prognosis model integration module constructs an individualized risk prediction model.

The invention discloses a proton dose information processing device and method and electronic equipment, and relates to the field of medical science and technology. The device comprises a matrix processing unit used for determining a compression matrix according to a physical information table; the particle simulation processing unit is used for simulating the transport behavior of target particles in a medium through a plurality of thread blocks and a plurality of particle stacks, each thread block comprises N threads, and the N threads are used for processing N particles in parallel; the plurality of particle stacks comprise a first type of particle stacks and a second type of particle stacks; and the dose processing unit is used for collecting dose deposition information of the target particles according to the conveying behavior of the target particles in the medium, and updating the compression matrix according to the collected dose deposition information. The technical problems that in the prior art, when a Monte Carlo method is used for proton dose calculation, massive particles need to be simulated to obtain accurate dose distribution, so that the calculation time is too long, and the calculation efficiency is low are solved.

The invention provides a proton dose distribution determination method and device based on a graphics processor, which can be applied to the technical field of medical radiation dose calculation. The method comprises the following steps: calculating pencil beam tracks of a plurality of pencil beams; obtaining respective dose nuclear parameters of the pencil beam at a plurality of intersection points; according to the radiation field dose truncation radius, voxels of interest are determined from tissue voxels in the tissue voxel grid, and the radiation field dose truncation radius represents the upper limit value of the acting distance of all pencil beams in one radiation field to generate remarkable contribution to dose distribution in the transverse direction; calling a plurality of threads to execute dose calculation tasks of the plurality of voxels of interest in parallel based on the respective dose kernel parameters of the plurality of intersection points to obtain voxel deposition doses of the voxels of interest; and determining a dose distribution result related to the specified tissue according to the voxel deposition doses of the plurality of voxels of interest.

The invention provides a medical linear accelerator virtual source model optimization method which is characterized by comprising the following steps: constructing a virtual source model and inputting initial configuration parameters; obtaining simulated dose distribution data of a typical irradiation regular field based on the model; vertically irradiating on the standard water model through a medical linear accelerator to obtain corresponding measurement dose distribution data; performing priority evaluation and sorting on part of parameters of the virtual source model, and performing iterative adjustment according to the priority until the simulation and measurement dose distribution difference is within a preset range; and inputting the parameters after iteration is completed into the virtual source model to obtain an optimized model. According to the method, full-process automatic optimization of the virtual source model can be achieved, manual intervention is remarkably reduced, the labor cost is saved, the modeling precision and efficiency are greatly improved, and the method is suitable for an efficient and high-precision source modeling process under a complex structure.

A radiation exposure dose management apparatus according to an embodiment is a radiation exposure dose management apparatus that manages a radiation dose received by a subject and includes processing circuitry configured: to obtain image data of the subject; to segment the image data in accordance with organs of the subject; to generate a voxel radiation dose distribution map indicating a radiation exposure dose of each of the voxels on the basis of a specific radiation exposure dose model and the image data; and to calculate a radiation exposure dose of each of the organs on the basis of the segmented image data and the radiation exposure dose of each of the voxels within the generated voxel radiation dose distribution map.

The invention provides a non-uniform ion implantation process monitoring method based on template matching image recognition, and the method comprises the steps: 1, carrying out the to-be-monitored non-uniform ion implantation of a wafer, carrying out the modeling according to the measurement data of the wafer, and obtaining a template used for monitoring the dose / resistance distribution of the non-uniform ion implantation; step 2, carrying out resistance measurement on the batch of wafers after the non-uniform ion implantation, and drawing a resistance distribution diagram according to the coordinates and the resistance values of the measurement point positions; and 3, carrying out image identification comparison operation on the template obtained in the step 1 and the resistance distribution diagram obtained in the step 2 to obtain a similarity score, and carrying out statistical process control and control on the similarity score. Abnormalities such as deviation and rotation of dose distribution patterns of the non-uniform ion implantation process are effectively captured, and monitoring of the non-uniform ion implantation process is achieved.

The invention provides a BNCT treatment plan generation method and device based on a barrier algorithm, a medium and a terminal. The method comprises the following steps: acquiring a plurality of irradiation fields; respectively calculating dose distribution per unit time of each irradiation field; taking the irradiation time combination of the plurality of irradiation fields as a generation target, and determining an evaluation index and a constraint condition of the generation target; obtaining the generation target of the minimum value of the evaluation index under the limitation of the constraint condition based on a barrier algorithm so as to obtain an optimal irradiation time combination of the plurality of irradiation fields; and determining the irradiation time of each irradiation field based on the optimal irradiation time combination so as to generate a BNCT treatment plan based on the irradiation time of all the irradiation fields and the corresponding unit time dose distribution. According to the method and the device, the BNCT treatment plan with relatively high dose uniformity can be generated, the damage to surrounding healthy tissues can be reduced while sufficient radiation dose is ensured to be received, and the safety of radiotherapy is effectively improved.

A rapid verification method for adaptive radiotherapy dose consistency in the TOMO system is disclosed, relating to the field of medical information technology, particularly TOMO radiotherapy information processing. The method includes: acquiring flux distribution data and the original region of interest (ROI) from the original radiotherapy plan; projecting the ROI onto the flux projection space based on the beam geometry parameters of the original radiotherapy plan, and establishing a mapping relationship as a reference index; acquiring the target ROI for the adaptive radiotherapy phase; updating the mapping relationship based on the flux distribution data and the target ROI, and using the mapping relationship as the target index; detecting the data consistency between the target index and the reference index, and determining the dose distribution change information of the target object. This application solves the technical problems in existing technologies where adaptive radiotherapy dose consistency verification relies on a high-load dose calculation engine for data reprocessing, resulting in large amounts of computational data, high system response latency, and inability to meet the timeliness requirements for online verification.

A boron dose measurement system, method and apparatus. The system is provided with a first detection apparatus (10), a second detection apparatus (20) and a boron dose measurement apparatus (30), wherein the first detection apparatus (10) detects gamma rays in a target region, in order to obtain first boron measurement information, the first boron measurement information comprising energy spectrum information of the gamma rays; the second detection apparatus (20) detects the gamma rays in the target region, in order to obtain second boron measurement information, the second boron measurement information comprising position information of the gamma rays; the second detection apparatus (20) and the first detection apparatus (10) synchronously perform measurement; and the boron dose measurement apparatus (30) can determine a boron dose distribution in the target region on the basis of the energy spectrum information and the position information of the gamma rays that are obtained by means of synchronous measurement. A boron dose distribution in a target region can be accurately obtained, and the obtained boron dose distribution can meet the requirements for online boron dose monitoring.

An automated radiotherapy planning system for generating a deliverable radiotherapy plan (31) for a patient, to be delivered by a predefined radiotherapy delivery system, the system is configured to segment a target volume and one or more organs at risks in a 3D medical image of the patient, generate a prediction of a 3D volumetric dose distribution, generate the deliverable radiotherapy plan (31) and send the deliverable radiotherapy plan (31) to a predefined radiotherapy delivery system for final verification and execution.

The invention discloses a method for dynamically optimizing the sterilization dose of a thermosensitive medical device based on artificial intelligence, and relates to the technical field of optimization of the sterilization dose of the thermosensitive medical device, and the method specifically comprises the following steps: under the condition that different device materials in the same batch have thermal response differences, determining all devices with the thermal response differences, the thermal response difference instrument is calibrated as a thermal response difference instrument; response characteristic information of each thermal response difference instrument is obtained and analyzed, the material heat absorption difference degree of each thermal response difference instrument is evaluated, and each thermal response difference instrument is classified according to the evaluation result; and according to the classification result of each thermal response difference instrument, correspondingly adjusting the irradiation dose of the thermal response difference instrument and dynamically optimizing the irradiation dose of the thermal response difference instrument. The problem that the sterilization dosage cannot be dynamically optimized under the thermal response difference of the same batch of thermosensitive medical instruments is solved, and accurate matching and intelligent adjustment of dosage distribution are achieved.

The invention relates to a particle source model training method and a dose distribution determining method of a radiotherapy system, and the method comprises the steps: obtaining an off-axis ratio calculation curve corresponding to a particle source based on input energy and a preset source model; acquiring an off-axis ratio measurement curve and an output factor measurement value of the radiotherapy system under the action of input energy; based on the difference between the off-axis ratio calculation curve in the radiation field and the off-axis ratio measurement curve in the radiation field, adjusting model parameters used for determining probability densities at different off-axis positions in a preset source model until the difference is in a preset error range; determining a correction factor of the output factor based on the output factor measurement value and the adjusted preset source model; and correcting the adjusted preset source model based on the correction factor to obtain a particle source model.

The present invention belongs to the field of radiotherapy devices and discloses an applicator for electron beams, an applicator structure, and a method for determining electron beam energy. The applicator structure includes a scattering head, a scattering component, a beam-limiting component, and a sealing component. The scattering head is provided with an upwardly opening internal cavity, the opening of the cavity being tangent to the scattering component. The scattering component is arranged between the lower end face of the beam channel and the cavity to scatter electrons and expand the beam, while simultaneously reducing the X-rays incidentally generated due to bremsstrahlung and protecting surrounding normal tissues. The beam-limiting component is provided with a beam channel. The sealing component is located on the upper portion of the beam-limiting component and encapsulates the entrance of the beam channel. The applicator of the present invention can form a spherical dose distribution that is more conformal to the radiotherapy target area, complete a single high-dose radiotherapy during surgery, effectively improve the local control rate of tumors, effectively reduce the side effects caused by X-rays, protect surrounding normal tissues, shorten the treatment time, and is safe, effective, and reliable.

The invention relates to a computer-implemented method for determining spatially resolved radiation load information of a patient when conducting an examination with an imaging X-ray apparatus having an X-ray radiator for outputting an X-ray field for conducting the examination, wherein patient input dose information is determined for determining the radiation load information, wherein the pre-dose information is determined in the case of use of a matching filter arranged between the patient and the X-ray radiator, which causes a non-uniform dose distribution in a plane perpendicular to a central ray of the X-ray field, the pre-dose information describing a uniform distribution of the X-ray dose acting on the patient without the matching filter; dose distribution information is calculated using the pre-dose information by means of a filter model, which describes at least the dose distribution of the X-ray dose acting on the patient in the part of the X-ray field covered by the matching filter; and the patient input dose information is determined using the dose distribution information.