125 results about "Dose distribution" patented technology

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 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 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 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.

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 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.

A moving body tracking device obtains the position of a tracking object 55, and generates a signal for permitting irradiation of a target 50 with radiation when it is determined that the tracking object 55 exists inside a gate range. In the moving body tracking device, the gate range varies between timing when the tracking object 55 enters the inside from the outside of the gate range and timing when the tracking object exits from the inside to the outside. Accordingly, provided are a moving body tracking device and a radiation irradiation system with which it is possible to suppress a change in the dose distribution and a decrease in irradiation efficiency due to the influence of latency.

This application relates to a method, apparatus, and computer-readable storage medium for determining beam distribution. For a beam to be modeled, at least two reference directions are determined based on a measured dose distribution; and a target beam distribution of the beam is determined based on at least two reference beam distributions corresponding to the at least two reference directions. This solves the problem of low beam modeling efficiency, improves the speed of modeling calculation, and is applicable to a wider range of application scenarios.

A method is provided that can correct the focal position even when the height position distribution has changed due to irreversible deformation of a sample caused by irradiation with a charged particle beam. [Configuration] A charged particle beam writing method according to one aspect of the present invention is characterized by comprising the steps of: determining a height change distribution, which defines the height change from the height position of the sample before irradiation caused by irreversible deformation of the sample at each position on the sample at the time of irradiating the sample with a charged particle beam, the sample being irreversibly deformed depending on the irradiation dose distribution of the charged particle beam; correcting the focal position of the charged particle beam when irradiating the sample with the charged particle beam based on the height change distribution; and writing a pattern on the sample with the charged particle beam having the corrected focal position.

The application discloses a reflection type volume grating uniformity improving device and method, which adopts a double-system cooperative structure of axial exposure dose compensation and double-beam interference exposure. The axial exposure dose compensation system compensates the non-uniform axial exposure dose distribution caused by energy attenuation through laser irradiation of a photosensitive wave band of a recording medium and multi-axis rotation of the recording medium. The double-beam interference exposure system generates two collimated coherent lights with adjustable polarization states and powers by using laser of a high-transmittance wave band of the recording medium and a polarized beam splitter, and accurately controls the interference angle by adjusting the mirror posture, so that the high-contrast grating structure is written in the recording medium subjected to the axial exposure dose compensation. The application can effectively solve the non-uniform exposure dose distribution problem caused by laser energy attenuation in the traditional preparation process, thereby guaranteeing the consistency of the axial performance of the volume grating, and effectively promoting the development of the fields of high-performance laser beam combination, pulse compression and optical communication filter which need high-uniformity volume grating.

The invention provides a rapid Monte Carlo dose calculation method based on statistical uncertainty perception noise reduction and application, and the method comprises the steps: carrying out the Monte Carlo dose simulation of a low particle number, and obtaining the middle rough dose distribution containing random noise and a corresponding voxel-level statistical uncertainty distribution diagram; acquiring an anatomical structure image of a patient, performing normalization processing and registration processing on the anatomical structure image, the middle rough dose distribution and the corresponding voxel-level statistical uncertainty distribution diagram, and constructing three-channel input data; the three-channel input data is input into a pre-constructed and trained statistical uncertainty perception denoising network model, the network model adopts a dual-path cavity convolution fusion architecture, and local features and global context features are extracted and fused; and the network model outputs denoised high-precision dose distribution as a final Monte Carlo dose calculation result. According to the method, the efficiency and the accuracy of radiotherapy plan design are remarkably improved.

This invention provides a proton imaging method and imaging device, applicable to the fields of proton imaging technology and signal processing technology, particularly in the field of particle radiation imaging technology. The method includes: determining a virtual source position based on an initial two-dimensional dose distribution of a proton beam acquired without an imaging object; obtaining multiple sub-beam propagation paths from the virtual source position to the multiple predetermined sub-beam center positions based on the virtual source position and multiple predetermined sub-beam center positions on a predetermined plane; obtaining sub-beam data pairs corresponding to the sub-beam propagation paths and the two-dimensional dose distribution based on the two-dimensional dose distribution and the lateral distribution components determined along the sub-beam propagation paths; obtaining multiple water equivalent path lengths corresponding to at least one projection angle through an iterative algorithm based on the multiple sub-beam data pairs corresponding to at least one projection angle; and performing image reconstruction based on the multiple water equivalent path lengths corresponding to at least one projection angle to obtain a target image of the imaging object.

This application discloses a three-dimensional dose reconstruction method and related equipment based on in-beam positron emission tomography (PET) data. The method includes: acquiring list-pattern data during proton therapy beam exit; performing conformation processing on the list-pattern data and reconstructing a three-dimensional activity distribution map; performing multi-nucleus dynamic deconvolution processing on the activity time series corresponding to the three-dimensional activity distribution map according to the physical half-life of the target nuclide and preset biological elution parameters to obtain the initial activity distribution corresponding to the target nuclide; mapping the initial activity distribution to a three-dimensional relative dose distribution using a preset dose mapping algorithm; converting the three-dimensional relative dose distribution into a three-dimensional absolute dose distribution according to a pre-established water phantom calibration curve; and generating a cumulative dose distribution report based on the three-dimensional absolute dose distribution. The embodiments of this application can reconstruct the three-dimensional absolute dose distribution with high accuracy and support inter-session dose accumulation analysis. This application can be widely applied in the field of dose reconstruction technology.

The invention discloses an in-vitro tissue thermal dose threshold determination method and system based on a thermochromic film, and belongs to the technical field of biomedicine ultrasonic dosimetry. The method comprises the following steps: preparing a thermochromic film with multiple color-changing temperature points, and calibrating a quantitative relationship between the hue and the temperature of the thermochromic film; constructing a sample formed by overlapping an in-vitro tissue, the thin film and a transparent phantom, and placing the sample in a focal region of a high-intensity focused ultrasound system; synchronously carrying out ultrasonic irradiation and film color-changing video acquisition; hue distribution of video frames is converted into temperature distribution through image processing, dynamic accumulation is carried out based on a thermal dose model, and a two-dimensional thermal dose distribution field is reconstructed; and finally, registering the thermal damage area after tissue irradiation with a thermal dose field, and extracting a thermal dose value on the outer side of the damage boundary to calculate a threshold value. The system comprises corresponding ultrasonic generation, sample bearing, image acquisition and control processing units. According to the invention, non-contact, real-time and two-dimensional visual measurement of the heat dose is realized, the system cost is low, and the heat dose threshold can be determined more objectively and accurately.

The invention relates to a coaxial and non-coplanar magnetic resonance guided head gamma knife radiotherapy system and a guiding method thereof. The system comprises a magnetic resonance imaging unit, a gamma knife irradiation unit, a treatment bed unit, a coordinate registration unit, a body surface optical tracking unit and a control system. The gamma knife irradiation unit is rigidly connected to the end face of the magnetic resonance imaging unit through a positioning interface, a positioning bed board is arranged on the treatment bed unit, a space reference mark is arranged on the positioning bed board, and the coordinate registration unit is connected between the magnetic resonance imaging unit and the treatment bed unit. The body surface optical tracking unit is mounted at the tail end of a positioning bed plate of the treatment bed unit; the control system is connected with the treatment bed unit, the gamma knife irradiation unit and the body surface optical tracking unit. Clear imaging of cranial soft tissue in a high-field-intensity environment can be realized, damage of external components to magnetic field uniformity and interference of an electron reflux effect caused by a high-intensity magnetic field to dose distribution are reduced, and radiotherapy precision is improved.

Disclosed is a computer-implemented method for determining a treatment plan for a radiotherapy treatment including a dose distribution, the method comprising the steps of (a) determining a plurality of clinical goals, the plurality of clinical goals associated with a dose distribution, (b) determining, based at least in part on a user input, a priority for each of the clinical goals, (c) automatically determining a subset and order of scripts among a plurality of scripts, based on the plurality of clinical goals and their respective priority, each script configured to, when executed, adapt one or more optimization objectives and / or adapt weightings for optimization and / or provide and / or adapt an optimization structure, (d) generating a dose distribution, wherein the generating of the dose distribution comprises executing the subset of scripts in the determined order, wherein executing the subset of scripts comprises, for each of the scripts, obtaining at least one of an optimization structure, optimization objectives, and weightings for optimization,

The application discloses an ionizing radiation field simulation calibration system based on artificial intelligence and particularly relates to the field of simulation calibration, comprising a multi-source radiation data acquisition module, a data preprocessing module, an AI simulation calculation module, a real-time radiation field calibration execution module, and a multi-dimensional calibration result AI verification module; the application generates a standardized data set by collecting original radiation field data and performing outlier rejection, normalization and enhancement processing; a radiation field dynamic simulation model is constructed based on a deep learning model, and a three-dimensional space dose distribution simulation result is output in real time; a calibration parameter optimization model is constructed based on reinforcement learning, a calibration instruction is generated, and an execution mechanism is driven to perform real-time calibration; a multi-dimensional verification index system is constructed, a deep learning classification model based on an attention mechanism is used to intelligently verify the calibration result, and the calibration result is divided into three grades, namely, qualified, to-be-optimized and unqualified; for the result that does not pass the verification, an error traceability algorithm is started, and a correction suggestion is generated.

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.

The application relates to a rotating volume intensity modulated particle therapy optimization system for a superconducting gantry, comprising: a data setting module configured to set optimization input data; an equation construction module configured to construct an augmented Lagrange equation, and replace an original optimization problem into an iterative form combined with an alternating direction multiplier method; an iterative optimization module configured to perform alternating direction multiplier method iterative optimization, and solve corresponding point array weights under the condition of meeting constraint conditions; a threshold pruning module configured to perform threshold pruning on the point array weights, and eliminate non-active points to obtain new point array weights; a condition judgment module configured to judge whether a set convergence condition is reached, and if not, repeat the setting step; and an optimization output module configured to output the point array weights and energy layer dose distribution proportions. The application reduces non-active point irradiation, significantly enhances the sparsity of scanning points in a selected energy segment, and adapts to the rapid energy conversion of the superconducting gantry in a large momentum acceptance energy segment.

The application discloses a mixed dose calculation method based on an electron energy deposition kernel, Monte Carlo simulation is adopted for photons, the collision and transportation process is simulated in detail, different methods are adopted according to the energy of electrons, the dose distribution of low-energy and medium-energy electrons with energy lower than a threshold value in space is calculated by using a pre-calculated energy deposition kernel, and Monte Carlo transportation is carried out for high-energy electrons, and the energy deposition kernel is used when the energy of the high-energy electrons is reduced to the threshold value. The setting of the energy threshold value in the application influences the precision and speed, the precision is high and the simulation speed is slow when the threshold value is low, the speed is fast and the precision is lower when the threshold value is high, a low energy threshold value is set in a region with relatively high precision requirement, and a high energy threshold value is set in a region with less importance, so that the Monte Carlo-analytical coupling method of the region mixing is realized, and the calculation efficiency is improved while the precision is ensured.

The utility model provides a blood irradiation container based on a linear accelerator. The blood irradiation container comprises a base, a box body, a blood bag bracket, a two-dimensional ionization chamber matrix and finger-shaped ionization chambers, the box body is fixed on the base, the front side of the base is provided with a slot, and a two-dimensional ionization chamber matrix is inserted into the slot; a horizontally arranged transparent tube is arranged in the center of the box body, an insertion hole communicated with the transparent tube is formed in the front side of the box body, and the finger-shaped ionization chamber is inserted into the transparent tube from the insertion hole; the box body is also provided with a temperature monitoring system; a blood bag bracket is arranged in the box body and comprises a plurality of trays and supporting columns, wherein the trays are sequentially arranged from top to bottom, and the supporting columns are used for separating the adjacent trays. The container can solve the problems of uneven blood irradiation dose distribution, inaccurate temperature control, low irradiation efficiency and incapability of real-time monitoring in the prior art, thereby improving the blood irradiation effect and safety.

The invention discloses a large-aperture diffraction structure dose-path joint optimization and splicing method, and relates to the technical field of diffraction structure manufacturing, and the method comprises the steps: carrying out the geometric analysis of a design layout of a large-aperture diffraction structure, obtaining the spatial layout data of a sub-field and an overlapping region, and extracting the key feature points related to the morphology control; taking the spatial layout data and the key feature points as input, training a machine learning model taking the splicing area morphology smoothness as an optimization target, and obtaining a morphology prediction model; taking the ergodic deduction result of the field-division scanning path sequence and the parameterized adjustment result of the exposure dose distribution of the overlapping area as joint optimization variables, substituting the joint optimization variables into the morphology prediction model, and carrying out iterative calculation until convergence to obtain an optimal path and dose distribution; and fusing the data to generate a joint control instruction set. According to the method, the morphology prediction accuracy and the splicing area smoothness can be improved, and the splicing efficiency and quality are optimized.

The application discloses a kind of fast simulation method of ion scattering track cluster driven by bypass factor, including constructing basic radiation parameter table;According to the basic radiation parameter table, search discrete energy point, form lookup table;According to the variation of bypass factor of each discrete energy point in lookup table, determine the scattering angle distribution characteristic parameter corresponding to discrete energy point, and generate scattering angle sample based on scattering angle distribution characteristic parameter and store in scattering angle sample pool;Initialize three-dimensional grid, set the initial position and direction of incident ion;Carry out incident ion transport and energy deposition cycle;Parallel execution of the simulation task of multiple incident ions, respectively in independent three-dimensional grid copy incident ion transport and energy deposition cycle, finally all three-dimensional grid copy is obtained Total dose distribution.This method achieves optimal balance between calculation efficiency and accuracy, so as to generate high-fidelity three-dimensional dose distribution chart.

The invention discloses a gynecological tumor radiotherapy source applicator for navigation, positioning and calibration, and relates to the field of biomedical engineering, the gynecological tumor radiotherapy source applicator comprises a radioactive source catheter body, and the outer side of the lower end of the radioactive source catheter body is in threaded connection with a threaded guide piece; an arc-shaped groove is formed in the upper end of the threaded guide piece, the threaded guide piece is in nested butt joint with a butt joint nesting rod through the arc-shaped groove, and a bearing limiting piece is arranged on the outer side of the upper end of the radioactive source catheter body. According to the gynecological tumor radiotherapy source applicator for navigation, positioning and calibration, the guiding bearing structure is arranged, positioning and calibration processing is carried out on the placement position of the radioactive source catheter body through the guiding bearing structure, deviation of the treatment part is prevented, auxiliary positioning processing can be carried out according to the internal structure of the human body during treatment after placement, and the treatment accuracy is improved. The overall conformity is higher, the defects of non-uniform dose distribution and the like are avoided, and the treatment distribution uniformity is ensured.

A method of volumetric additive manufacturing, comprising rotating a vial of photocurable resin; creating patterns of structured light images of an object to be manufactured so that the shape of the light dose distribution matches a desired shape of the object; correcting for diffusion within the vial; projecting the patterns of structured light images via a projector onto the rotating vial of photocurable resin thereby printing the object corrected for diffusion; and removing the printed object from the vial.

In some embodiments, there is provided a method of automating radiation therapy treatment planning. The method may include receiving at least an objective for a control structure associated with a plurality of organs-at-risk; optimizing, using a first machine learning model configured as an optimization engine, a treatment plan including the control structure and the objective; selecting, based on one or more scores, at least a first organ‐at‐risk to enable objective adjustment; adjusting, using a second machine learning model using a continuous action space, one or more objective parameters for the selected first organ‐at‐risk; and re-optimizing, using the first machine learning model configured as the optimization engine, the treatment plan including the adjusted one or more objective parameters for the selected first organ‐at‐risk; and outputting the re-optimized treatment plan including one or more treatment parameters. Related systems, methods, and articles of manufacture are also disclosed.