153 results about "Low dose" patented technology

The invention provides a low-dose CTA image noise reduction model training method, a noise reduction method and equipment. The method comprises the following steps: acquiring cardiovascular and edge noise enhancement data of a low-dose CTA image based on a cardiovascular segmentation model and an edge extraction model; according to the data and the conventional dose CTA image, a cyclic generative adversarial network is trained based on target loss so as to train the cyclic generative adversarial network into a low dose CTA image noise reduction model, and the target loss comprises cardiovascular maintenance loss obtained based on a cardiovascular segmentation model and edge maintenance loss obtained based on an edge extraction model. According to the invention, the blood vessel and edge enhancement and the global noise reduction of the low-dose CTA image can be combined in the training process of the low-dose CTA image noise reduction model, so that the model can give consideration to the reservation of the fine structure of the image and the improvement of the overall image quality. Therefore, the application effectiveness and reliability of a low-dose CTA image noise reduction result obtained by adopting the model can be effectively improved, and the reliability of CTA clinical diagnosis is improved.

The invention is applied to the technical field of image denoising, and particularly discloses a low-dose CT image denoising generalization method based on a diffusion model. The method comprises the following steps: S1, constructing a low-dose CT denoising and generalization network model; s2, acquiring CT images of a low dose and a corresponding normal dose; according to the low-dose CT image denoising generalization method based on the diffusion model, the multi-stage diffusion model and the dynamic double-attention network are designed, the problem of error accumulation in a traditional single-stage method is effectively relieved through a cascade optimization mechanism, meanwhile, the dynamic double-attention network DDA-Net is combined, and the low-dose CT image denoising generalization method based on the diffusion model is obtained. A channel-space self-adaptive attention mechanism is utilized to realize cross-dose level unsupervised generalization ability, clinical variable dose scenes can be adapted without relying on pairing training data, key high-frequency details for diagnosis are reserved, and discrimination of anatomical edges and textures is enhanced through a selective scanning mechanism.

The invention discloses a low-dose 3D spiral CT reconstruction method and system based on a context cold diffusion model, and the method comprises the following steps: converting a linear inverse problem of CT imaging into an optimization problem, and adding a regularization term; based on a near-end gradient descent framework, solving the optimization problem by adopting an iterative shrinkage threshold algorithm, replacing a near-end operator in the near-end gradient descent method with a pre-trained two-dimensional cold diffusion model, and replacing a regularization item with the pre-trained cold diffusion model; when the cold diffusion model is pre-trained, three-dimensional context information formed by a current slice and two adjacent slices is used as the input of the cold diffusion model; taking a low-dose two-dimensional CT image as input, and performing low-dose 3D spiral CT image reconstruction by adopting the trained network; by combining the physical imaging model and the deep learning prior, the reconstruction quality and efficiency of the low-dose CT are remarkably improved, the noise and artifacts in the low-dose CT image are remarkably reduced, and the quality of the low-dose CT image is remarkably improved.

Provided herein are methods to treat various neurodegenerative disorders comprising delivering a viral particles to the whole brain, including both superficial and deep structures. In some aspects, the viral particles are administered at low dose levels to the CSF, in conjunction with microbubbles followed by application of focused ultrasound (FUS) to a region of interest of the brain, thereby causing entry of the viral particles to the brain.

Provided herein are methods for the treatment or prevention of sickle cell crisis and symptoms associated therewith by the administration of low doses of tocilizumab to a subject. In particular embodiments, provided herein are pharmaceutical compositions comprising doses of 200 mg or less of tocilizumab and methods for the treatment or prevention of sickle cell crisis and symptoms or other conditions arising as a result thereof.

The invention relates to a double-cavity radiotherapy and chemotherapy integrated treatment capsule for brain glioma, which aims to solve the problems that the existing radioactive seed source or chemotherapy carrier cannot give consideration to radiotherapy and chemotherapy, the dosage is difficult to regulate and control, the medicine distribution is non-uniform and the like. The brain glioma double-cavity radiotherapy and chemotherapy integrated treatment bag is composed of a radiotherapy pipeline and a chemotherapy pipeline, the whole integrated treatment bag is a spiral pipe body, the radiotherapy pipeline is located in an inner ring, the chemotherapy pipeline is located in an outer ring, the radiotherapy pipeline is a closed cavity, a liquid radioactive source is contained in the closed cavity, and the liquid radioactive source is located in an outer ring. The chemotherapy medicine is released from the head end of the chemotherapy pipeline, the chemotherapy medicine is injected from the tail end of the chemotherapy pipeline, and the surface of the integrated treatment bag is coated with a composite antibacterial layer. According to the integrated treatment capsule, radiopharmaceuticals and chemical drugs are placed in the inner cavity and the outer cavity respectively, synergistic treatment of radiotherapy and chemotherapy is achieved through the synchronous effect of the two channels, and long-term low-dose release of the radiopharmaceuticals and the chemotherapy drugs is achieved and toxic and side effects are reduced by adjusting the screw pitch and the thickness of the tube wall.

The invention provides a wireless electronic personal dosimeter capable of dynamically adjusting an alarm threshold value and a control method, and relates to the technical field of radiation monitoring. Comprising a detection module used for collecting historical dose data of a user and constructing a personal dose management library. And the wireless communication module is used for extracting accumulated dose data. And the man-machine interaction module is used for setting a fixed alarm threshold value, setting a personalized alarm threshold value according to the real-time accumulated dose and the accumulated dose data, comparing the fixed alarm threshold value with the personalized alarm threshold value in real time, and selecting a lower value as a real-time alarm triggering standard. And the alarming and updating module is used for judging whether the current dose of the user exceeds a real-time alarming triggering standard, if so, alarming, and uploading the current dose to the personal dose management library for updating. According to the invention, through setting the personalized alarm threshold value, the personal dose accumulation risk can be effectively reduced, the personnel in a low-dose environment for a long time can be more effectively protected, and personalized and precise management of radiation protection is realized.

The invention discloses a low-dose computed tomography image denoising method and device based on self-supervised learning and a medium, and belongs to the technical field of medical image processing, aiming at solving the technical problem that the accuracy of clinical diagnosis is affected due to the fact that low X-ray dose is adopted by LDCT, and image quality is often interfered by noise. According to the method, denoising can be completed only by processing a single low-dose CT image by using a self-supervised learning framework. According to the method, the denoising mode is learned from the LDCT image containing noise, real ground truth is not needed, and the limitation that a traditional method depends on a real high-dose CT image to serve as training data is avoided. According to the method, the requirements of low-radiation exposure and high-quality imaging are balanced, the de-noising effect of the low-dose CT image can be remarkably improved, and the method is suitable for de-noising processing of the low-dose CT image in medical diagnosis.

The invention provides a transfer learning-based CT image pulmonary nodule intelligent detection method and system, and the method comprises the steps: carrying out the training and testing of a noise reduction network through employing a low-dose and full-dose CT data set, and building a pulmonary nodule noise reduction model; a lung CT data set is adopted, a U-shaped segmentation network is trained and tested, and a pulmonary nodule segmentation model is established through transfer learning; and based on the coding module structure of the pulmonary nodule segmentation model, establishing a pulmonary nodule classification model through transfer learning. According to the method, a transfer learning method is comprehensively used, part of structures and parameters of the segmentation model are obtained through transfer of the noise reduction model, and part of structures and parameters of the classification model are obtained through transfer of the segmentation model. According to the method, end-to-end auxiliary algorithm research is realized, hyper-parameters required by training are reduced by using task-to-task transfer learning, the fitting speed is accelerated, and a more accurate and reliable auxiliary detection tool is provided for clinicians.

The invention relates to the technical field of medical X-ray, radio frequency and high-frequency diagnosis and treatment equipment, in particular to a full-static X-ray radiotherapy system and method. The system is composed of an electron source, an accelerating cavity, a two-dimensional deflector, an annular magnet set, a strip-shaped anode target, a multi-leaf collimator set, a vacuum cavity and the like. The electron beam enters the two-dimensional deflector after being accelerated, and any plane angle is obtained under the pure electromagnetic action; and then the X-rays are guided to the strip-shaped anode target along each electron channel in an annular magnetic field of the annular magnet group to bombard and generate the X-rays. The multi-leaf collimator performs spatial modulation on rays to form an irradiation field matched with a target region, so that multi-angle high-precision radiation irradiation without mechanical rotation is realized. The strip-shaped target surface increases the heat dissipation area and cooperates with an efficient cooling loop, so that the dose rate upper limit is improved, and the FLASH radiotherapy requirement is met. The scheme is compact in structure, low in cost and simple and convenient to maintain, overcomes the defects of large size, low efficiency, limited dosage and the like of traditional rotary radiotherapy equipment, and has wide clinical popularization value.

The invention provides a low-dose CT image processing method and device, electronic equipment and a medium, and relates to the field of medical image processing, and the method comprises the steps: obtaining a to-be-processed low-dose CT image; performing noise characteristic quantization on the low-dose CT image to generate noise characteristics; extracting image features of the low-dose CT image by adopting a trained image processing model, fusing the image features with the noise features to obtain fused features, and processing the fused features to obtain a target CT image; according to the method, accurate denoising of the low-dose CT image can be realized, diagnosis details such as organ boundaries and blood vessels are efficiently reserved, the robustness of the model to various noise scenes is enhanced, the calculation overhead is reduced, and a high-quality target CT image meeting clinical diagnosis requirements is output.

A CT scanner for performing a brain scan performs a low-dose 3D scan in a first field of view. By analyzing the low-dose 3D scan, for example using landmark detection, a proposed field of view for a full-dose 3D brain scan is obtained. A representation of the proposed field of view is displayed and a final field of view is generated as the proposed field of view or an updated version of the proposed field of view provided by a user of the CT scanner.

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.

This invention discloses a method for detecting the toxicity threshold of a substance based on a rat drinking experiment. The method of this invention includes the following steps: First, a drinking preference experiment is conducted, and then the toxicity threshold is determined: the amount of substance water and pure water consumed in the drinking preference is compared to determine the time when the rat begins to significantly avoid substance water, the mass of the toxic substance in the rat's body at that time is calculated, and the toxicity threshold of the rat is calculated; (3) dose conversion from rat to human: based on the interspecies dose conversion of body surface area, the toxicity threshold of the rat is first converted into the equivalent dose for humans to obtain the acute exposure dose, and then the acute exposure dose is converted into the chronic exposure dose for humans to obtain the substance toxicity threshold. This invention can accurately determine the toxicity threshold: it achieves toxicity assessment of low-dose exposure through spontaneous recognition behavior; it is easy to operate; and it is applicable to the toxicity assessment and non-destructive threshold determination of various substances such as environmental pollutants, chemical substances, and drugs.

State of the art mechanisms being used for achieving diagnostic-quality images under low-dose settings for general CT imaging have the disadvantages that CT images are fixed during the optimization process to generate perfusion maps, which can lead to suboptimal CT images with respect to the perfusion maps generated, although they might appear spatially smooth or denoised. The disclosure herein generally relates to Computer Tomography (CT) scanning, and, more particularly, to a method and system for CT image reconstruction. The system performs modelling an optimization problem for joint estimation of a set of structural CT images and a perfusion map, and further solves the optimization problem for the reconstruction of the CT images of a subject.

The present disclosure provides an IL-6 formulation, comprising about 40 μg / mL to about 2 mg / ml IL-6, about 5 to about 15 mM histidine, about 5 to about 15 mg / mL glycine, about 40 to about 60 mg / mL trehalose, about 0.1 to about 0.3 mg / mL polysorbate 20, and about 1 to about 1000 μM DTPA, wherein the formulation has a pH of about 6.0 to about 8.0. Such formulations may be useful to treat and / or prevent a disease or disorder in a subject in need thereof.

The invention relates to a low-dose liquid-free detection system, which is used for a net type atomizer and comprises an acquisition unit, an analysis unit, a calculation unit, a data storage unit and an execution unit, the acquisition unit is used for acquiring current or voltage signals of an atomizing sheet in one or more periods and sending the current or voltage signals to the calculation unit; the calculation unit is used for acquiring the current or voltage signal sent by the acquisition unit, obtaining a change fitting curve of the current or voltage signal through differential operation, and sending data of the change fitting curve to the analysis unit; and the analysis unit is used for receiving the change fitting curve data sent by the calculation unit, comparing the change fitting curve data with the pre-stored threshold data of the atomization sheet in the data storage unit, carrying out final judgment on a liquid medicine atomization state or a non-liquid medicine atomization state, and sending a judgment result to the execution unit. The liquid-free detection system is suitable for low-dose atomization detection.

A computer-implemented method for determining scar segmentation includes receiving a medical image of an object to be segmented acquired after an application of a low-dose of contrast agent and determining a scar segmentation mask by applying a trained artificial neural network to the medical image. The low-dose of the contrast agent includes less contrast-agent than a standard full-dose of the contrast agent.

Embodiments provide targeted delivery of powder medications (high and low dose) within the nose and to different nasal regions. Oscillating jet technology provides a unique approach to minimize hotspot formation and the associated irritation associated with high powder mass applications together with improved posterior surface area coverage and improved drug absorption for locally acting or systemically and neurologically targeted medications.

The present disclosure provides a method of administering a low dose soluble protein to a subject in need thereof, wherein the method comprises (a) adding an intravenous solution stabilizer ("IVSS") to an isotonic aqueous solution in a container to form a pretreated container, (b) adding an amount from a protein stock solution to the pretreated container of step (a) to form a low dose protein solution, and (c) administering the low dose protein solution of step (b) to the subject. Optionally, the dose of the soluble protein to be administered to the subject is an ultra-low dose protein, wherein the low dose protein solution undergoes a further dilution step. In particular, the method of administering an ultra-low dose soluble protein comprises: (a) adding an IVSS to an isotonic aqueous solution in a first container to form a first pretreated container, (b) adding an amount from the protein stock solution to the first pretreated container to form a low dose protein solution; (c) adding an IVSS to an isotonic aqueous solution in a second container to form a second pretreated container; and (d) adding an amount of the low dose protein solution in step (b) to the second pretreated container of step (c) to form an ultra-low dose protein solution, and (e) administering the low dose protein solution of step (b) to an individual in need thereof.

The invention belongs to the field of X-ray long-afterglow luminescent materials. The technical problems that traditional Pr < 3 + > doped fluoride is insufficient in afterglow performance, X-ray imaging depends on continuous irradiation, and color scattering noisy points exist are solved. The NaLuF4: Mg / Cs / Pr fluoride material is prepared by adopting a Cs < + >-Mg < 2 + > co-doping regulation strategy, the material is synthesized by an oleic acid-octadecene liquid phase method, and the X-ray excitation afterglow intensity of Pr < 3 + > is improved by about 110 times by utilizing the synergistic effect that Cs < + > enhances X-ray absorption and Mg < 2 + > optimizes a carrier shallow-deep trap level; the material is prepared into the high-light-transmittance rare earth nano flexible scintillation screen with the resolution ratio of 20.01 lp / mm. According to the invention, zero-noisy-point time-delay imaging after low-dose X-ray transient irradiation is realized, continuous irradiation is not needed, the radiation dose is lower, and the method is mainly applied to the field of X-ray time-delay imaging of low-dose medical diagnosis and industrial nondestructive testing. The method does not need continuous X-ray irradiation, and has important application value in the fields of medical diagnosis, industrial nondestructive testing and the like.

The invention belongs to the technical field of medical animal disease model modeling, and particularly discloses a dehydroepiandrosterone-induced mouse polycystic ovarian syndrome model under bisphenol A low-dose exposure, specifically, a preparation method of the model comprises the following steps: continuously injecting a mouse for 21 days according to the injection amount of dehydroepiandrosterone of 6mg / 100g; the method comprises the following steps: carrying out intragastric administration on a mouse by using 10 mg / kg of bisphenol A on the 15th day of injection of dehydroepiandrosterone, and continuously carrying out intragastric administration on the mouse for 7 days to obtain the polycystic ovarian syndrome model of the mouse at the childbearing age. According to the mouse model obtained by DHEA modeling at the early stage of adolescence and BPA exposure modeling at the late stage of adolescence, the disordered mood cycle, obesity and high T level are obviously changed; and the human PCOS disease environment and clinical phenotype can be truly simulated.

The present invention is directed to a method of treating acute ischemic stroke in a human comprising administering one of more low doses of DC009, wherein the dose is about 0.01-0.075 mg / kg / dose. The low dose administration is safe and effective in treating acute ischemic stroke in a human subject.

The invention discloses a process for synergistically inhibiting melanoma by carrying low-dose paclitaxel on nanoparticles based on immunoregulation. According to the invention, hyaluronic acid functionalized albumin nanoparticles are combined with low-dose paclitaxel, the tumor targeting property of the drug is improved by utilizing a nanotechnology, and meanwhile, the tumor immune microenvironment is regulated and the anti-tumor immune effect is enhanced by activating an STING pathway. Through the combination, the treatment effect of the medicine is improved, the side effect of the medicine is remarkably reduced, and a new strategy is provided for tumor treatment. High-efficiency delivery of low-dose paclitaxel is realized through the nano-carrier, the drug dosage is reduced, the toxicity is reduced, meanwhile, the antitumor activity of the paclitaxel is retained, a new thought is provided for clinical application of traditional chemotherapeutic drugs, the tolerance and life quality of patients are expected to be improved, polarization of M1 type macrophages is promoted by activating an STING pathway, and the antitumor activity of the paclitaxel is improved. Interferon and other inflammatory factors are released, CD8 + T cells are recruited and activated, and therefore the anti-tumor effect is achieved.

A treatment for patients having cancer expressing Prostate Cancer Specific Membrane Antigen (PSMA) is disclosed. Said treatment involves the use of an 225Ac-radioconjugate, in particular 225Ac-PSMA-I&T. A dosage regimen that entails more frequent administration of the 225Ac-radioconjugate at lower dose level may be employed. This involves the use of a dosage of 50-75 kBq / kg of body weight on a dosing schedule of every 4-6 weeks. A flat dosing may also be employed where the dose does not depend on the body weight of the subject. Such dosing improve the benefit / risk profile with fewer adverse events and less discontinuations, dosing interruptions and reductions in dose. Of particular importance is a reduction in salivary gland toxicity and xerostomia.

Methods of using low dose naltrexone to treat chronic pain in a patient. The methods of using low dose naltrexone to treat chronic pain generally includes administering to the patient a first amount of naltrexone in an immediate-release agent and a second amount of naltrexone in a modified-release agent.

The invention relates to a construction method of an experimental autoimmune prostatitis rat model. The construction method comprises the following steps: S1, preparing a prostate specific antigen mixture; s2, selecting male SD rats as laboratory rats, and dividing the laboratory rats into a normal saline control group, a low-dose model group and a high-dose model group; s3, continuously injecting for 7 days, allowing the normal saline control group to accept injection of 0.2 ml of normal saline every day, allowing the low-dose model group to accept injection of 0.1 ml of prostate specific antigen mixture every day, and allowing the high-dose model group to accept injection of 0.2 ml of prostate specific antigen mixture every day; and S4, continuously feeding all groups of experimental mice to the 28th day, inducing the experimental mice in the low-dose model group and the high-dose model group by the prostate specific antigen mixture to cause experimental autoimmune prostatitis, and obtaining the experimental autoimmune prostatitis rat model. The use of animals can be reduced, the cost is reduced, and the modeling efficiency and stability can be improved.

The invention discloses a low-dose CT denoising method and device based on wavelet transform and a state space model, and relates to the technical field of medical image processing. The method comprises the following steps: acquiring a low-dose CT image and a corresponding full-dose CT image, and generating a data set; dividing the data set into a training set and a test set according to a preset proportion; constructing and training a CT denoising network, taking the training set as an input parameter, taking the predicted image as an output parameter, and taking the minimum error absolute value of the full-dose CT image and the predicted image as a loss function; and inputting the test set into the trained CT denoising network in the step S3 to obtain a prediction image. According to the low-dose CT denoising method, global dependence can be efficiently established, and details can be accurately reserved.

The present invention relates to the technical field of PCBA board detection and discloses a method for setting a dose threshold for X-ray short circuit detection of PCBA boards for a fixed time. The method comprises the following steps: taking U PCBA multilayer boards with the same substrate thickness and short circuit defects as a sample set and dividing the sample set into a training sample set m, a test sample set n, and a verification sample set q; performing short circuit detection at different doses on the PCBA multilayer boards in the training sample set m to obtain a lower dose prediction threshold and an upper dose prediction threshold; further obtaining a lower dose transition threshold, a lower dose final threshold, an upper dose transition threshold, and an upper dose final threshold through a machine learning system; and finally generating a lower dose threshold and an upper dose threshold respectively through weighted combination. The present invention generates the lower dose threshold and the upper dose threshold through weighted combination, which can reduce the influence of the specificity of the PCBA boards in the training sample set m, the test sample set n, and the verification sample set q on the final threshold, thereby making the final threshold more accurate.

This invention discloses an intelligent adaptive dose verification calculation method and system. The intelligent adaptive dose verification calculation method includes: obtaining preliminary dose distribution data for a patient based on a deep learning-based dose prediction model; dynamically assigning variance reduction parameters to particles in a Monte Carlo simulation based on the high and low dose distribution information in the preliminary dose distribution data, wherein the variance reduction parameters include simulation weights, with simulation weights assigned to particles predicted to be in high-dose regions being less than those assigned to particles predicted to be in low-dose regions; and using a Monte Carlo dose calculation engine, simulating the planned beam based on the dynamically assigned variance reduction parameters to obtain high-precision verification dose distribution data. This invention's intelligent adaptive dose verification calculation method ensures the physical authenticity of the final verification dose distribution and the credibility of the "gold standard."