181 results about "Radiation Dosages" patented technology

The invention relates to the technical field of CT scanning parameter optimization, in particular to a CT scanning parameter optimization method and system based on reinforcement learning, and the method comprises the steps: obtaining basic information of a patient, scanning part information and initial CT scanning parameters; obtaining a CT image quality evaluation data set; constructing a reinforcement learning environment based on the basic information of the patient, the scanning part information and the initial CT scanning parameters; using the CT image quality evaluation data set to train a reinforcement learning model; according to the reinforcement learning model, optimized CT scanning parameters are generated; according to the method, the optimized CT scanning parameters are output and used for executing CT scanning, the system can generate customized optimal scanning parameters for each patient by taking the individual features of the patient as a part of a reinforcement learning environment, the accuracy and safety of CT examination are greatly improved, multi-target collaborative optimization is achieved, and the method is suitable for popularization and application. The optimal balance point can be found among a plurality of targets such as image quality, noise level and radiation dose.

The invention relates to the technical field of regeneration of waste polyester, in particular to a polyester micro-plastic recycling and impurity removing method and equipment. According to the method, the irradiation technology is adopted for treating the polyester micro-plastic, the polyvinyl chloride is removed by combining electron beam irradiation with the specific gravity method, the radiation dosage and time are accurately controlled, the polyvinyl chloride in the polyester micro-plastic can be effectively removed, the color of the polyester micro-plastic is not affected, and the treated polyester micro-plastic can meet the spinning requirement. The equipment is used for realizing the impurity removal method and comprises irradiation treatment equipment, a separation tank, a cleaning tank, a dehydrator and a drying tower. The equipment is simple in structure and convenient to operate, the radiation dosage and time can be accurately controlled in the impurity removal process, the surface temperature of the polyester micro-plastic is effectively controlled, and production and popularization are easy.

A computer-implemented method of radiotherapy for a plurality of locations within a region of patient anatomy includes: determining a first radiation dose that is delivered during a first time segment of a treatment fraction to a first location included in the plurality of locations, wherein the first radiation dose is based on a first machine state of the radiotherapy system associated with the first time segment and a first surface map of the region associated with the first time segment; based on the first radiation dose, determining a dose error associated with the first location for the first time segment; based on the dose error, determining a second radiation dose to be delivered to the first location in a second time segment of the treatment fraction; based on the second radiation dose, changing a second machine state of the radiotherapy system associated with a second time segment to a third machine state of the radiotherapy system; and delivering the second total radiation dose to the first location during the second time segment using the third machine state.

The invention relates to a pulmonary nodule minimally invasive needle biopsy excision device, and relates to the technical field of medical instruments. The system comprises a mechanical arm electrically connected with CT equipment, navigation auxiliary equipment, a puncture assembly detachably connected with the mechanical arm and used for puncturing human tissue, a sampling assembly for sampling tissue at a nodule and a marking assembly for marking the sampling position; the puncture assembly comprises a mounting base detachably connected with the mechanical arm and a puncture needle arranged on the mounting base, and the end of the puncture needle is sharp. The puncture needle is arranged in a hollow mode, the sampling assembly comprises a rotary cutting cylinder rotationally arranged in the puncture needle and a power part for driving the rotary cutting cylinder to rotate, a first rotary cutting opening is formed in the puncture needle, a second rotary cutting opening is formed in the rotary cutting cylinder, and the first rotary cutting opening movably corresponds to the second rotary cutting opening. The biopsy sampling device has the advantages that the sampling amount of each biopsy sampling is conveniently increased, the puncture sampling frequency is reduced, and meanwhile the radiation dosage is reduced.

The present relates to device for ultra-high dose rate radiation treatment to a patient, comprising: —a radiation source for providing a radiation beam, and—a linear accelerator for accelerating said radiation beam until a predetermined energy, and—a beam delivery module for delivery the accelerated radiation beam. The device is arranged for generating an accelerated radiation beam having a predetermined energy between about 50 MeV and about 250 MeV, to deliver rate radiation dose of at least 10 Gy, during an overall time less than about 200 ms in order to generate a radiation field for treating a target volume of at least about 30 cm3, with said ultra-high dose rate radiation dose and / or a target volume located at least about 5 cm deep in the tissue of the patient with said ultra-high dose rate radiation dose.

The invention discloses a multi-energy CT-oriented projection data noise removal method, which relates to the technical field of image processing, is used for solving the problems that the noise content of an imaging result is increased and the signal-to-noise ratio is reduced due to the fact that the radiation dose of the current multi-energy CT is reduced, and comprises the following steps: constructing a data set for low-dose multi-energy CT projection data denoising; constructing a projection data denoising network model; constructing a mixed loss function for supervising the training of a denoising network model; training data are imported, an optimizer is selected, related hyper-parameters are set, and then model training is carried out; carrying out convergence judgment on the training process of the projection data denoising network model; updating a network model parameter weight; and processing the low-dose multi-energy CT projection data by using the optimal network model. According to the multi-energy CT projection data denoising model constructed by the invention, more detail features can be reserved while low-dose multi-energy CT projection data noise is removed, and the quality of a reconstructed image is effectively improved.

An automated clinical decision support method for treatment re-planning that enhances a CBCT scan using information from an initial CT scan of the patient to create a synthetic CT scan; adapts contours of organ(s) and tumour(s) from the initial CT scan to align with the synthetic CT scan; and calculates a delivered radiation dose from the synthetic CT scan; compares these against an original treatment plan to detect deviations exceeding preset thresholds, and triggers alerts with assigned priority levels for a re-plan decision.

Device for personalized radiotherapy using AI-controlled dosimetry, comprising: - a patient data acquisition unit configured to receive real-time data on patient-specific health information, including medical imaging data from the patient's CT, MRI and PET scans, biometric data from wearable or hospital-grade monitoring devices, electronic health records (EHRs) and previous treatment history; - The medical image processing unit, which analyzes and processes the captured image data, performs various functions, from tumor segmentation and identification of organs at risk to the spatial alignment of multimodal images for radiotherapy planning; - a CPU is configured to preprocess other collected data by (a) normalizing imaging and physiological data, (b) aggregating imaging and physiological data, (c) encoding imaging and physiological data for subsequent analysis, and (d) ensuring the compatibility and consistency of data from different sources; - an artificial intelligence (AI) controlled dosimetry machine that is communicatively connected to the central processing unit, wherein the AI-controlled dosimetry machine is configured to use machine learning algorithms to evaluate patient-specific parameters, optimize the distribution of a radiation dose and predict responses to treatment; - a visualization and treatment planning interface coupled with the AI-driven dosimetry machine, the visualization interface being configured to provide radiation dose distributions, patient-specific treatment recommendations, and comparative dose plans that enable data-driven adjustments by clinicians; and - a visualization interface with a feedback mechanism that allows real-time input from practicing clinicians and continuous automatic recording of patient response, which is used for iterative improvement of both the dosimetry model and the treatment plan.

The present invention relates to the technical field of medical imaging. Disclosed are a method, system and apparatus for oral cavity CBCT ultralow-dose imaging. The method comprises: collection of high-dose oral cavity CBCT image data, data splitting processing, data three-dimensional reconstruction processing, model training, image data inputting, image enhancement, and image data outputting; and the specific process involves: performing three-dimensional reconstruction processing on oral cavity CBCT two-dimensional projection data in an ultralow-dose mode of a patient, so as to obtain ultralow-dose oral cavity CBCT three-dimensional reconstruction image data, inputting same into an oral cavity CBCT ultralow-dose imaging image enhancement network model, and performing outputting to obtain high-quality oral cavity CBCT image data for a subsequent clinical diagnosis and treatment process. The present invention can significantly reduce a radiation dose for imaging and accelerate an imaging speed while ensuring the imaging quality, thereby improving the safety of oral cavity CBCT imaging, and having broad clinical application prospects.

The invention relates to a dynamic tumor tracking method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring 4DCT image data of a patient, and performing mixed data enhancement on the 4DCT image data to generate a 3DCT image representing each respiratory stage of the lung; based on the 3D CT image, generating an X-ray image in a respiratory cycle of a simulated patient by adopting a mathematical simulation method; registering the X-ray image and the 4DCT image data to generate a tumor tracking model of the patient; and inputting an X-ray image of a patient in a radiotherapy process into the tumor tracking model, and outputting a tumor tracking result through the tumor tracking model. According to the invention, real-time three-dimensional tracking of the tumor can be realized by using a single low-dose X-ray image under any geometric condition, high-precision tumor positioning can be provided on the premise of ensuring low radiation dose, the method is suitable for any projection angle and source-object distance change conditions, and various geometric relationship changes in the treatment process can be flexibly coped with.

A method includes obtaining a base structure including a stack of dielectric layers disposed on a substrate. The stack of dielectric layers includes a first photosensitive dielectric layer including a first photosensitive dielectric material sensitive to a first radiation dose, a second photosensitive dielectric layer including a second photosensitive dielectric material sensitive to a second radiation dose different from the first radiation dose, and a barrier layer disposed between the first photosensitive dielectric layer and the second photosensitive dielectric layer. The method further includes forming a dual damascene structure from the base structure using a dual damascene process.

The present invention relates to the technical field of intracavitary radiotherapy, and in particular to a method for verifying a post-loading brachytherapy plan, comprising positioning and scanning a lesion, creating a 3D model, printing the model using 3D technology, positioning in a coordinate manner, marking a target area and points of interest, fixing a thermoluminescent sheet, performing simulated radiotherapy, completing a radiotherapy plan according to a preset dwell point and dwell time, reading a radiation dose of a target area and a preset dose for comparison, and determining whether it is necessary to adjust parameters in the radiotherapy plan. The present invention adopts 3D technology and a spatial coordinate positioning method to achieve precise positioning in plan verification for personalized design of patients. Meanwhile, a thermoluminescent dose detector can be annealed and can be repeatedly measured, thereby reducing the use cost and having higher feasibility and economy.

The invention relates to an intelligent positioning method and system for a CT or PETCT patient. The method comprises the steps that a depth camera arranged above a scanning bed is calibrated to obtain calibration parameters; acquiring patient image information, depth information and a patient positioning voice instruction; a to-be-scanned body part is determined, and scanning starting and ending positions are determined in combination with patient image information, depth information, system parameters and calibration parameters; determining the thickness of the body part to be scanned based on the depth camera, the system parameters and the calibration parameters; adjusting the scanning bed to enable the center of the to-be-scanned body part and the center of the rack to be at the same height; according to the re-acquired image information and depth information of the patient, performing early warning under the condition of determining that a collision risk exists; scanning is started after intelligent positioning is completed. The device has the advantages that contact between a doctor and a patient is reduced, the risk of disease infection is reduced, the radiation dose of the patient is reduced, the imaging effect is better, the risk of collision between the limb part of the patient and the rack is reduced, and the risk of wrong scanning and positioning directions is reduced.

A method includes the steps of energizing, in a test fixture with a combination of a power signal and a clock signal, an electrical device selected from a plurality of electrical devices, measuring a first value of a parameter of the electrical device in a first emission of an electromagnetic energy in a radio frequency (RF) spectrum emitted from energized electrical device, irradiating the electrical device, irradiating the electrical device with a radiation dose in a radiation type, measuring a second value of the parameter in the second emission of the electromagnetic energy in the RF spectrum emitted from the energized and irradiated electrical device, measuring a difference between the first value and the second value, and determining a condition of the electrical device based on a measured difference.

The invention belongs to the technical field of medical imaging and deep learning, and discloses a mixed domain iteration sparse view CT reconstruction method based on self-attention and convolution fusion. According to the method, firstly, a multi-branch module (FSACM) fusing self-attention and convolution is provided, and interaction of global and local feature information can be effectively achieved. Based on the module, an initialization enhancement network, a projection restoration network and a residual error restoration network are designed, and the three networks are reasonably connected and construct an iteration block to jointly cooperate to complete a sparse view CT reconstruction task. A special framework is designed for the three networks, and a gradient updating module is added into an iteration block to optimize initial projection and images; meanwhile, a comprehensive loss function is introduced to balance the reconstruction precision of a projection domain and an image domain. The method can effectively eliminate stripe artifacts and reserve detail structures while maintaining iteration efficiency, realizes high-quality reconstruction, and greatly reduces radiation dose accepted by patients.

According to one embodiment, a radiotherapy planning apparatus includes processing circuitry. The processing circuitry set irradiation conditions for a medical image relating to a patient. The processing circuitry acquires a histogram of a radiation dose rate in a predetermined area in the patient based on the irradiation conditions. The processing circuitry evaluates the irradiation conditions based on the histogram. The processing circuitry outputs information based on an evaluation result of the irradiation conditions.

A computer-implemented method of radiotherapy for a plurality of locations within a region of patient anatomy includes: determining (808) a first radiation dose that is delivered during a first time segment of a treatment fraction to a first location included in the plurality of locations, wherein the first radiation dose is based on a first machine state of the radiotherapy system associated with the first time segment and a first surface map of the region associated with the first time segment; based on the first radiation dose, determining (820) a dose error associated with the first location for the first time segment; based on the dose error, determining (821) a second radiation dose to be delivered to the first location in a second time segment of the treatment fraction; based on the second radiation dose, changing a second machine state of the radiotherapy system associated with a second time segment to a third machine state of the radiotherapy system; and delivering (803) the second total radiation dose to the first location during the second time segment using the third machine state.

Various devices, systems, and methods for performing personalized dosimetry of a patient receiving a radiopharmaceutical are described. In an example method, anatomic data is generated by performing a computed tomography (CT) scan on the patient when they are lying down and wearing a garment. Based on the anatomic data, locations of organs of the patient are determined with respect to one or more fiducial markers integrated with the garment. Detectors for detecting photons from a radiopharmaceutical are placed on the garment based on locations of the organs. Subsequently, the patient may be administered a dose of the radiopharmaceutical. When the patient wears the garment, the detectors may detect photons released from the decaying radiopharmaceutical that is distributed in the organs. The radiation dosage to the organs may be determined based on the detected photons.

The invention provides a half-circle multi-machine-head radiotherapy system and method, and the system comprises a beam generation assembly; the beam current control assembly is connected with the beam current generation assembly; the beam output assembly is connected with the beam current control assembly, and the beam output assembly comprises a plurality of treatment heads which are all connected with the beam current control assembly; the rotating motor is arranged in the treatment head; and the rotating target is fixed with an output shaft of the rotating motor, the rotating target is relatively rotatably connected with the treatment head, and the rotating target is arranged in the treatment head. Charged particles are generated through the beam generation assembly, then the moving direction of the charged particles is changed through the beam control assembly, the charged particles with the changed direction are distributed to rotating targets in a plurality of treatment heads within a giant pulse time, and different radiation doses are given to a focus at different angles by distributing different pulse numbers to the rotating targets.

The utility model discloses a pharmaceutical mixer, which comprises a base, a vertical plate, a rotating mechanism, a swinging mechanism and a fixing mechanism, and can ensure that a medicine bottle is stably and effectively clamped and fixed and then is quickly and uniformly mixed, thereby liberating both hands of a pharmaceutical worker, improving the working efficiency, greatly reducing the radiation dose suffered by the pharmaceutical worker, and ensuring the safety of the pharmaceutical worker. Through simple, convenient and efficient mechanical operation, the mixing uniformity of the medicine is greatly ensured, and the material control of the medicine is ensured.

Provided is a polymerizable composition that is for a resin-impregnated superconducting coil and that has excellent impregnation ability and can be used for manufacturing a resin-impregnated superconducting coil having excellent durability in a high-dose environment (in a high-dose environment in which the radiation dose per 100,000 hours is at least 1 MGy). Provided is a polymerizable composition for a resin-impregnated superconducting coil used in a high-dose environment in which the radiation dose per 100,000 hours is at least 1 MGy, the polymerizable composition comprising a norbornene-based monomer, rare-earth element-containing particles, and a metathesis polymerization catalyst.

Provided are methods and compositions for enhancing radiotherapy in various cancers by administering dopamine receptor (DRD2)‐binding phenylpiperazine derivatives such as brexpiprazole, cariprazine, pipamperone, and perospirone. In vitro studies show that combining these agents with ionizing radiation (e.g., 5 Gy) significantly reduces cancer cell survival, suppresses metastatic and stemness markers (e.g., CD44, MMP‑2, Snail, Nanog), and promotes apoptosis. Fractionated or single‐fraction radiation regimens can be paired with DRD2 antagonists to lower treatment‐resistant phenotypes, decrease the likelihood of recurrence, and potentially reduce necessary radiation dosages. The approach applies to breast, prostate, lung, pancreatic, and brain cancers, among others. Depending on tumor characteristics, additional chemotherapeutic or immunotherapeutic agents may further improve outcomes.

A method, system, and device for ultra-low-dose imaging of oral cone-beam computed tomography (CBCT) are provided. The method encompasses high-dose oral CBCT image data acquisition, data segmentation processing, three-dimensional (3D) reconstruction processing, model training, image data input, image enhancement, and image data output. Specifically, the process involves performing 3D reconstruction on 2D projection data of oral CBCT acquired in ultra-low-dose mode to obtain ultra-low-dose oral CBCT 3D reconstructed image data. This ultra-low-dose oral CBCT 3D reconstructed image data is then input into the oral CBCT ultra-low-dose imaging enhancement network model, from which high-quality oral CBCT image data is output for subsequent clinical diagnosis and treatment processes. This method significantly reduces the radiation dose of imaging while ensuring imaging quality, accelerates imaging speed, and enhances the safety of oral CBCT imaging, holding broad clinical application prospects.

The ability to improve the adjusting of technical parameters in therapy plans found by Pareto navigation constitutes a technical problem, along with facilitating the decision-making of the planner (also called user) and simplifying the mathematical calculation of the solution. Proposed is a way to find and establish a therapy plan among a plurality of plan proposals for cancer therapy, each plan proposal representing as a solution one point in a navigation space (N) containing a plurality of setting parameters and establishing in a machine space (M) a setting for radiation doses to be administered by a radiation therapy machine for cancer therapy. The navigation space (N) contains at least one Pareto front (200) behind or on which available treatment plans are located as possible solutions and among which a user navigates, whereby a first plurality of available solutions calculated in advance as plan proposals is provided in a memory and retrieved or read out from the memory for display. The retrieved or read-out plan proposals are shown on a display and used by the user for navigation, whereby a large number of Pareto-optimal solutions with physical values or evaluations of dose values can be found among the points. Moreover, such solutions are also shown that are almost Pareto-optimal, within a tolerance range of at most ±5% from the Pareto optimum. In this way, a large first set of points with the physical values or evaluations of dose values is created and then stored in the memory. From this, a second set of points is calculated, which defines clinical targets. A decision space (D) is provided and shown in which at least the clinical targets are plotted on target axes (76, 876, 776). This is without the possibility of navigating in the decision space (D) on the target axes of the clinical targets, whereas binary selections in the decision space are made in the manner of restrictors to specify which plan proposals are not used as therapy plans. This enables a desired therapy plan to be found and determined from the large number of plan proposals.

This invention provides a four-dimensional CT reconstruction method based on real-time kV image-driven reconstruction, including data preprocessing and four-dimensional CT reconstruction. Data preprocessing includes respiratory phase synchronization, spatial resampling, and geometric consistency registration and clipping. Four-dimensional CT reconstruction is implemented using a deep learning model based on a three-dimensional U-Net architecture. The model training adopts a supervised learning paradigm, using normalized prior three-dimensional CT volume data and corresponding two-dimensional kV projection images as joint inputs. Through multi-scale feature encoding and decoding structures, the model learns the mapping relationship between the two-dimensional projection images and the three-dimensional volume data, thereby predicting and outputting the three-dimensional CT volume data under the current respiratory phase. This application achieves an end-to-end closed loop from two-dimensional projection to four-dimensional CT to dose assessment, reducing the radiation dose required for image reconstruction, improving reconstruction speed, and ensuring spatial accuracy and temporal continuity, possessing feasibility and practical value for clinical application.

The invention discloses a drag chain limiting and protecting device for movable O-shaped arm X-ray imaging equipment. The drag chain limiting and protecting device comprises a U-shaped fixed drag chain groove, a U-shaped movable drag chain groove, a driving assembly and a drag chain groove sealing plate assembly. The U-shaped fixed drag chain groove is fixed to the outer ring of the O-shaped arm, the U-shaped movable drag chain groove can slide in the fixed groove under driving of the stepping motor and the gear, and the U-shaped fixed drag chain groove and the U-shaped movable drag chain groove are closed to form an annular drag chain groove. The drag chain groove sealing plate is fixed to the O-shaped arm inner ring and provided with a drag chain guide plate, one end of the drag chain is fixed to the fixing groove, and the other end of the drag chain is connected with the drag chain guide plate. The sliding rail assembly comprises a limiting sliding rail and a movable sliding rail, the sliding gap can be adjusted, and the sliding range is limited. When the equipment is closed, the drag chain groove forms a closed space, and the inner ring rotates to drive the drag chain movable end to move; and when opened, the movable drag chain groove slides into the fixed groove, and the drag chain groove is disconnected. The device ensures efficient operation of the drag chain, improves the scanning efficiency and reduces the radiation dose of a patient.

Disclosed herein are methods for personalized treatment of individual patient tumors. A computer software configured to integrate with a radiation therapy treatment planning system is presented. The computer software is configured to: assign a radiation sensitivity index (RSI) of a subject's tumor based at least in part on expression levels of one or more signature genes in the tumor; calculate a recommended personalized radiation dosage (RxRSI) for the subject based at least in part on a pre-determined genomic adjusted radiation dose (GARD) value and the RSI; and provide, to the radiation therapy treatment planning system, the recommended RxRSI as a radiation therapy dose for a radiation plan.

The present disclosure relates to the field of image processing technology, and provides a training method, an identification method and a device for an elbow rotation axis recognition model. The method includes: obtaining a three-dimensional joint image, the three-dimensional joint image carries at least two joint rotation axis annotations marked by annotators; projecting the three-dimensional joint image and the joint rotation axis annotations it carries onto a two-dimensional image imaging plane to obtain a simulated two-dimensional image; performing image modality conversion on the simulated two-dimensional image to obtain a converted two-dimensional image; using the converted two-dimensional image to train an initial joint rotation axis recognition model until a preset training termination condition is reached to obtain a final joint rotation axis recognition model. The final joint rotation axis recognition model disclosed in the present disclosure can accurately identify the rotation axis position of a joint image taken by a patient in any posture, greatly reducing the difficulty of filming operations, and only requires one shot to meet the requirements, with simple operation, short time consumption and low radiation dose.

An apparatus comprises a processor and memory that stores instructions to cause the processor to receive user data that includes images of a body and organ. The processor is further caused to generate, via computed tomography imaging, a first image map and a second image map based on the user data. The processor is further caused to analyze, via spatial normalization of each image, the first image map and the second image map to determine strength of correlation of each tissue point of each image. The processor is further caused to execute a trained machine-learning model to generate a dose distribution image map using the first image map and the second image map as inputs. The processor is further caused to predict a change in a patient reported outcome for a user associated with the user data based on the dose distribution image map.

An improved electromagnetic field generating antenna is compatible with fluoroscopic imaging and can be placed under, above or anywhere around the patient. The antenna includes one or more antenna elements laid out on a single or multi-layer PCB with current conducting metal traces used for creating electromagnetic fields for tracking sensors. An antenna enclosure is made with a polymer or other non-conductive material. The antenna does not have to be moved for allowing medical imaging during various procedures. An X-ray filter may be made out of similar sub-components as a full antenna assembly with the sole purpose of reducing the radiation dose to the patient during medical procedures without negatively affecting the image quality.