143 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.

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.

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.

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.

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.

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.

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.

To facilitate administering a heterogeneous radiation dose to a patient's target volume using spatially fractionated radiotherapy, a control circuit (101) accesses (201) a three-dimensional representation of a patient's target volume, overlaps (202) a grid comprised of lattice radiotherapy vertices with that three-dimensional representation of the patient's target volume to provide a first resultant patient's target volume representation, removes (203) at least some of the lattice radiotherapy vertices that are located to the exterior of the first resultant patient's target volume representation to provide a second resultant patient's target volume representation, and moves 204 at least some of the lattice radiotherapy vertices that are located to the interior of the second resultant patient's target volume representation (by, for example, moving the lattice radiotherapy vertices to nodes of a centroidal voronoi tessellation) to provide a third resultant patient's target volume representation.

Systems and methods for radiation treatment planning can include a computing system determining an estimate of a radiation dose distribution within an anatomical region of a patient, and determining a cost matrix representing an objective function, using the estimate of the radiation dose distribution. The computing system can project the cost matrix on each of a plurality of fluence planes. Each of the plurality of fluence planes can be associated with a corresponding gantry-couch orientation of a plurality of gantry-couch orientations of a medical linear accelerator. The computing system can determine, using projections of the cost matrix on each of the plurality of fluence planes, a sequence of gantry-couch orientations among the plurality of gantry-couch orientations representing a treatment path.

The disclosure provides a gateway edge system. The gateway edge system comprise (a) a clinical quality measure component comprising: a translation engine configured to receive data from a healthcare system, process the data to extract a plurality of elements, and translate the plurality of elements into a plurality of intermediate variables; and a clinical quality measure computation component configured to compute, based at least in part on the plurality of intermediate variables, a clinical quality measure indicative of whether a radiation dose is excessive, within a safe range, or inadequate; and (b) a data orchestration engine comprising a plurality of modules configured to receive and process the data according to a workflow and dynamically route the processed data to one or more entities that are in communication with the gateway edge system, and the gateway edge system is configured to be deployed within a firewall of the healthcare system.

The invention relates to a radiation treatment planning method and apparatus. The control circuit may be configured to generate a virtual target volume from the target volume of the particular patient and then generate a virtual bolus from the virtual target volume. The control circuit may then determine a corresponding radiation dose using the target volume and the virtual bolus, thereby optimizing a radiation treatment plan for a particular patient.

1. The name of the design product: radiation dose monitoring graphical user interface for electronic equipment. 2. The use of the design product: radiation dose monitoring for electronic equipment. 3. The design points of the design product: the content of the displayed graphical interface. 4. The picture or photo that best indicates the design points: interface change state diagram. 5. The use of the graphical user interface: the graphical user interface of the present design is used for radiation dose monitoring of electronic equipment. 6. Other circumstances that need to be explained: the front view is the initial interface, and the front view slides down to enter the interface change state diagram.

The invention provides a sample irradiation damage testing device and system under a hard XFEL condition, and relates to an intense light source experiment technology and radiation dosimetry. The device comprises a vacuum cavity, a posture adjusting mechanism, a dose testing mechanism, a sample table and a sample testing mechanism are arranged in an inner cavity of the vacuum cavity, the posture adjusting mechanism is used for clamping an attenuation slice, and the sample table is used for placing a sample; when an irradiation damage test is carried out, an XFEL light path is formed in the inner cavity of the vacuum cavity; and the attenuation sheet, the dose testing mechanism, the sample and the sample testing mechanism are sequentially located in a light path of the XFEL along the propagation direction of the XFEL. According to the invention, the irradiation dose of XFEL can be continuously, rapidly and accurately adjusted in a vacuum environment, and the tolerance limit of a sample can be given in real time.

The invention discloses a time correction method and device, a computer storage medium and a digital PET system. The time correction method comprises the following steps: step S100, carrying out in-ring time correction on crystal strips of a plurality of detection rings in sequence to obtain in-ring time correction values of all the crystal strips; s200, all coincidence events between every two adjacent detection rings are obtained in sequence, and the event arrival time of each coincidence event on the crystal strip is obtained; and S300, carrying out inter-ring time correction on the plurality of detection rings according to the position of the current to-be-calibrated ring, the in-ring time correction value and the average value or weighted value of the difference value of the arrival time of the two single events of each coincidence event. According to the invention, the overall time correction quality of the digital PET system can be improved, the image quality can be improved, the radiation dose can be reduced, and the inter-ring time correction of the long-axis PET can be realized at the cost as low as possible.

The mobile robot indoor kernel environment multi-target point inspection path planning method, the grid map of the indoor kernel environment is prior information, each grid in the grid map contains radiation field information and obstacle information; the method is as follows: 1. Multi-target point inspection path mathematical modeling: considering path length and cumulative radiation dose and turning energy consumption, respectively, an inspection path evaluation model and a pair of path evaluation model are established; 2, the upper algorithm is used to obtain the inspection path; 3, the lower algorithm is used to calculate the pair of path; 4, the optimal solution is obtained by the circulation of the two-layer algorithm. The advantages of the present application are: for the mobile robot MTIPP problem in the indoor kernel environment, the path length, the cumulative radiation dose and the turning energy consumption are considered, a double-layer mathematical model and a double-layer hybrid algorithm are established, and the inspection path obtained by planning has better safety and lower global cost compared with the path planning considering only single factor in the prior art.

The present invention discloses a proton Flash therapy device based on a linear induction accelerator, which includes a proton injector, a linear induction acceleration mechanism, a beam current regulation mechanism, a radiation dose rate measurement system, a pulse power source system, and a pulse transmission system; the linear induction acceleration mechanism is configured to be connected to the proton injector; the beam current regulation mechanism is configured to be connected to the linear induction acceleration mechanism; the radiation dose rate measurement system is used to measure and monitor the dose rate of the proton beam passing through the beam current regulation mechanism in real time; the pulse power source system is used to provide pulse power for the proton injector and the linear induction acceleration mechanism; the pulse transmission system is used to effectively transmit the pulse power generated in the pulse power source system to the proton injector and the linear induction acceleration mechanism; the proton Flash therapy device based on the linear induction accelerator has a simple structure and is suitable for popularization and use in major hospitals.

A method for varying the radiation dosage in vivo during brachytherapy treatment is provided. The method includes infinitely varying the volume of radiation exposed to the patient. This volume variation feature is utilized as clinically indicated and can further reduce the risk of slippage of the device in situ.

The invention provides a separable microcatheter and stent conveying system and method, and belongs to the technical field of neural intervention and vascular intervention. The system comprises a separable micro-catheter which is formed by detachably connecting a near-section micro-catheter (1) and a far-section micro-catheter (2) through a physical clamping structure; the stent conveying system comprises a conveying guide wire (3) and an intravascular stent (4), and the conveying guide wire (3) is provided with an anchoring stent (31) matched with the limiting cavity of the far-section micro catheter (2). The guide wire, the catheter and the stent conveying system are integrated, so that the vascular interventional operation process is obviously optimized. The system adopts a separable microcatheter design and a mechanical anchoring structure, so that a guide wire and a catheter do not need to be exchanged for many times in the operation process, and the number of times of instrument operation is fundamentally reduced. According to the invention, the operation time is shortened, the exposure time of an operator and a patient under X-rays is directly reduced, and the radiation dose is effectively controlled.

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 ray equipment processing method and device based on image data and a storage medium, and relates to the X-ray equipment detection technology, the body information corresponding to a user is determined according to the image data of the user, a standard model is updated based on the body information to obtain a customized model corresponding to the user, and the posture image of the user is obtained. Synchronizing a model attitude of the customized model according to attitude information of the attitude image; generating reference information based on a comparison result of the model attitude and a standard attitude; starting ray equipment based on completion information of the reference information; obtaining a brightness parameter of a target area according to a regulation and control module; the regulation and control module is controlled to adjust the radiation dose in real time, the radiation dose of the X-rays can be accurately adjusted, and the accuracy during image imaging is improved.