387 results about "Ct imaging" patented technology

The invention discloses a urinary calculus CT image automatic segmentation method based on deep learning, particularly relates to the technical field of medical image processing, and is used for solving the problem of low geometric fidelity of a segmentation result caused by hardening artifacts when an existing deep learning segmentation method is used for processing a high-density urinary calculus CT image. The method comprises the following steps: acquiring a urinary calculus CT image, performing initial segmentation by using a deep learning model to generate an initial calculus segmentation region, evaluating texture heterogeneity degree and identifying a hardening artifact risk region by analyzing feature value distribution of a structure tensor field, and positioning an artifact-causing source point based on a CT imaging projection geometric principle by reversely tracing a spatial position relation. According to the method, boundary distortion features are identified by analyzing CT value profile curve form distortion features and local boundary curvature singularity features, geometric correction is performed on corresponding boundaries in an initial stone segmentation region according to the boundary distortion features, a final stone segmentation region is obtained, and the geometric accuracy and reliability of a segmentation result are effectively improved.

The invention provides an SPECT pinhole collimator imaging truncation artifact filling method and related equipment, and relates to the technical field of CT imaging. The method comprises the following steps: reconstructing real projection data to obtain an original reconstructed image, and determining a high-confidence region in the original reconstructed image; mapping the real projection data to a projection image of an ideal detector radial distance to obtain mapping projection data; predicting projection data outside an effective area of a real acquisition detector and taking the projection data as simulation projection data; carrying out weighted reconstruction on the simulation projection data to obtain a complemented image containing a truncation region; and according to the high-confidence region, fusing the original reconstructed image and the complemented image to obtain a final image. The method aims at solving the problem of truncation artifacts caused by the fact that the probe cannot completely cover the whole human body projection image, negative effects caused by the truncation artifacts can be made up, and the effect of improving the imaging quality and the diagnosis accuracy is achieved.

Disclosed is a support frame of a CT imaging system, including: a connection flat plate portion; a support body portion disposed on the connection flat plate portion; an X-ray source installation reference portion disposed on the connection flat plate portion; an electrical installation portion; a cooling component installation portion; and a through hole, wherein the through hole is surrounded by the support body portion, the X-ray source installation reference portion, the electrical installation portion and the cooling component installation portion, and the through hole penetrates the connection flat plate portion. The connection flat plate portion, the support body portion, the X-ray source installation reference portion, the electrical installation portion and the cooling component installation portion are integrally formed.

The invention relates to a scatter correction method, a cone beam computed tomography (CBCT) system and a computer storage medium. The method comprises the following steps: performing cone beam CT imaging on a to-be-measured object to obtain a first group of projection data of the to-be-measured object, and performing reconstruction according to the first group of projection data to obtain a first volume image containing scattering artifacts; performing fan-beam CT imaging on a plurality of different heights of the to-be-measured object to obtain a plurality of groups of fan-beam projection data of the to-be-measured object, performing reconstruction according to the plurality of groups of fan-beam projection data to obtain a plurality of fan-beam slice images, and using the plurality of fan-beam slice images as reference images without scattering artifacts; extracting a plurality of cone beam slice images from the first volume image; performing image registration on the plurality of fan-beam slice images and the plurality of cone-beam slice images; and training a scattering correction model based on deep learning by using the plurality of registered image pairs to obtain a trained scattering correction model.

A method, apparatus, and computer-readable storage medium for controlling X-ray computed tomography (CT) imaging. A first set of projection data is acquired in a first CT scan of an object with a CT imaging apparatus. The first CT image data is reconstructed from the first set of projection data. X-ray tube current modulation information is determined for a second CT scan of the object, based on a noise propagation model between X-ray projection data and CT image data, and using, as inputs, the obtained first set of projection data, information indicating an imaging region-of-interest (ROI) for the second CT scan, and a target image quality level in the imaging ROI. The second CT scan of the object is obtained based on the obtained X-ray tube current modulation information.

The invention discloses a peripheral blood and CT-based liver transplantation recipient sarcopenia classification method and device, and the method comprises the steps: carrying out the single-factor COX regression preliminary screening of collected peripheral blood biochemical indexes of liver transplantation recipients, and obtaining potential prediction factors related to sarcopenia; performing LASSO regression screening on the potential predictive factors to obtain core predictive factors related to sarcopenia; multiplying each core predictive factor by a regression coefficient calculated in LASSO regression, performing accumulation calculation to obtain an LASSO + COX model score, and dividing liver transplantation recipients into different risk groups according to the size of the LASSO + COX model score; and carrying out definite diagnosis on sarcopenia according to a risk group division result in combination with a CT image examination result. According to the method, a new strategy of peripheral blood prediction preliminary screening and high-risk CT confirmation is realized, the radiation risk, cost and detection threshold are reduced, and the sarcopenia management efficiency is improved.

The invention relates to the technical field of small animal imaging, and particularly discloses a bimodal small animal molecular image imaging device which comprises a rack; the rotating bracket is rotationally mounted on the rack; the rotating assembly is installed on the rack and used for driving the rotating support to rotate relative to the rack; the CT imaging assembly is mounted on one side of the rotating bracket; the SPECT imaging assembly is installed on the other side of the rotating support, and the imaging center of the SPECT imaging assembly and the imaging center of the CT imaging assembly are coaxial with the rotating axis of the rotating support; the animal bed assembly is installed on the rack and used for bearing a small animal to be imaged and driving the small animal to be imaged to move towards or away from the rotating support along the rotating shaft of the rotating support; the method can effectively solve the problems of registration error, attenuation correction failure, image fusion quality reduction and quantitative analysis misalignment when the SPECT image and the CT image are fused due to alignment error of the SPECT imaging assembly and the CT imaging assembly.

A controller and method are for configuring operation of a kVp-s witching spectral CT imaging apparatus which, in at least one mode, aims to mimic the user-side operating workflow of a conventional non-spectral CT scanner. The controller receives user-defined settings associated with operation of a non-spectral CT system, comprising a desired peak tube voltage and desired tube current. Based on these user-specified inputs, the controller performs a conversion procedure to derive a set of spectral CT operating parameters which are estimated to result in administration of the same dose of X-ray radiation over a single kVp switching cycle as would be administered by the conventional scanner over a same time duration. Thus, the user can acquire CT projection and image data using a spectral CT scanner, without a need to change their own operating workflow, and furthermore in a way that will administer the same radiographic density as they would expect to achieve with the same user-specified settings on a conventional scanner.

A method for improving negative correlation noise (anti-correlation noise) artifact reduction in spectral CT imaging includes detecting photon detector counts below a certain threshold (low count readings) and then determining a reliability indicator for each sinogram voxel with a set of detected low count readings. Those readings in the sinogram that are below threshold reliability are operated with smoothing operators. This is based on a pre-calculated probability distribution of different possible sets of probe count readings that is based on a theoretical probability of each combination of the read counts of a hypothetical attenuation distribution for a given scan volume.

A method for motion estimation in CT systems is provided. The method includes dividing projection data, obtained by scanning a heart using the CT system, into a plurality of partial-angle-reconstruction (PAR) bins, reconstructing a plurality of PAR volumes from the PAR-binned projection data, obtaining, based on the plurality of reconstructed PAR volumes, a number of short-scan volumes, determining, based on the obtained number of short-scan volumes, a plurality of nodes throughout the heart, estimating, for each of the determined plurality of nodes, a plurality of model parameters of a motion model, and generating, based on the plurality of model parameters estimated for each of the plurality of nodes, parameters of a global motion model at each voxel of a volume of the heart. The method also includes reconstructing, based on the generated motion parameters of the global motion model at each voxel of the volume of the heart, a motion-compensated short-scan volume.

The utility model belongs to the technical field of CT machine main bearing damping, and particularly relates to a high-speed CT machine main bearing damping device which comprises a limiting block. Connecting blocks are fixedly connected between the multiple limiting blocks. Inner rings of double-row angle bearings are fixedly connected to the side walls of the multiple connecting blocks. A connecting rod is slidably connected into the limiting block. The ends of the two connecting rods are fixedly connected with fixing blocks, and the other ends of the two connecting rods are fixedly connected with centrifugal blocks. A fixed convex block is fixedly connected to the side wall of the centrifugal block; clamping wheels are fixedly connected between the corresponding fixing protruding blocks, and the multiple clamping wheels are arranged corresponding to the size of the double-row angle bearing. According to the utility model, the plurality of clamping wheels are arranged to extrude the inner ring of the double-row angle bearing which rotates at a high speed, so that the inner ring and the outer ring of the double-row angle bearing are tightly attached, the vibration condition caused by a raceway structure error and a ball size error is further reduced, the negative influence of bearing vibration on CT imaging is favorably relieved, and the imaging quality of a CT machine is improved.

The embodiment of the specification discloses a non-contact data transmission system for a CT imaging device, the CT imaging device comprising a gantry, the non-contact data transmission system comprising: a leaky transmission line arranged on one of a moving side of the gantry and a stationary side of the gantry; a coupled leaky transmission line arranged on the other of the moving side of the gantry and the stationary side of the gantry, for receiving a coupled signal from a near field of the leaky transmission line; a signal sending unit connected with the leaky transmission line, for inputting a to-be-transmitted signal into the leaky transmission line; a signal receiving unit connected with the coupled leaky transmission line, for extracting data from the coupled signal; and a signal distributor arranged between the signal sending unit and the leaky transmission line, for dividing a signal in the signal sending unit into a first path signal and a second path signal, the first path signal and the second path signal being injected from a port of the leaky transmission line.

The invention discloses a deep mining and storage space rock mass damage evolution and long-term stability prediction system and method, and the system is characterized in that a long-term monitoring module comprises an embedded fiber grating strain sensor array, a resistivity CT imaging unit, a chamber convergence laser range finder and a rock sound wave testing unit, and is used for collecting multi-source monitoring data; the data preprocessing module is used for preprocessing the multi-source monitoring data; the aging analysis module is used for predicting the remaining service life based on the multi-source monitoring data; and the operation and maintenance decision module is used for generating a maintenance strategy and risk prompt based on the residual service life prediction result. The method comprises the following steps: arranging the long-acting monitoring module on site; collecting multi-source monitoring data; de-noising the multi-source monitoring data, and extracting a long-term trend term and a short-term fluctuation term; predicting the remaining service life; and performing stability grading and operation and maintenance decision according to the remaining service time. The system and the method can efficiently and accurately realize quantitative evaluation of the long-term stability of the rock mass.

The application discloses a CT image iterative reconstruction method and system based on maximum residual extension projection. The application collects CT original projection data, constructs a linear equation group model, disassembles a reconstruction sub-problem, iteratively selects a work row and column with the maximum residual after initialization of parameters, adopts a phased differentiated extension projection strategy combined with an adaptive step length update solution vector, terminates iteration in combination with multiple convergence criteria, and finally reorganizes a reconstructed image. Meanwhile, optimization strategies such as projection data extension, extended power divergence optimization, multi-domain network constraint and residual prior regularization are configured to adapt to complex working conditions such as truncation, noise, sparsity and limited angle. The application also builds a modular closed-loop reconstruction system to realize full-process automatic operation. The application can accurately correct reconstruction errors, accelerate the iterative convergence speed, effectively suppress various types of artifacts, improve imaging accuracy and robustness, does not require a large amount of training data, is suitable for multiple CT imaging scenes, and has high engineering promotion value.

The invention relates to the technical field of radiotherapy auxiliary instruments, in particular to an injectable calcium sodium alginate hydrogel spacer for radiotherapy and a preparation method of the injectable calcium sodium alginate hydrogel spacer. Nano calcium carbonate is used as an adjusting switch, an adjustable mechanical and degradation performance foundation of the hydrogel is laid, and the material is endowed with unique bifunctional characteristics through the synergistic effect of the nano calcium carbonate, a contrast agent iodized oil and a degradation liquid diethylenetriamine pentaacetic acid. The hydrogel can quickly form gel after being injected, keeps long-term structural stability and clear CT imaging capability in vivo, and can monitor the position and form of the hydrogel in a lossless manner; and when the radiotherapy period is finished, the on-demand and rapid degradation of the hydrogel can be realized only by injecting the diethylenetriamine pentaacetic acid, so that the risk of long-term retention is avoided. In-vitro and in-vivo experiments prove that the material has good biocompatibility, can significantly reduce the radiation dose of normal tissues such as rectum and the like, realizes the technical span from invisibility and difficult degradation to visibility and degradability, and has great clinical transformation value.

The invention relates to the technical field of battery detection, and discloses a battery detection method and system based on CT imaging and multi-physical field simulation, and the method comprises the steps: obtaining the X-ray tomography data of a to-be-detected lithium ion battery in an initial state, building a battery three-dimensional geometric model based on the tomography data and supplementary tomography data, the method comprises the following steps: acquiring dynamic image data of ultrasonic scanning of a to-be-tested lithium ion battery under a charge-discharge cycle or abuse test, constructing a COMSOL multi-physics field coupling simulation model based on a three-dimensional geometric model and change characteristics of the battery, solving the COMSOL multi-physics field coupling simulation model, determining lithium ion concentration distribution, net current density and strain distribution, and calculating the concentration of the to-be-tested lithium ion battery according to the concentration distribution, net current density and strain distribution of the to-be-tested lithium ion battery. A lithium ion concentration distribution diagram, a voltage-time relation diagram and a stress field cloud diagram are constructed, whether the lithium ion battery to be detected has defects or not is determined based on the lithium ion concentration distribution diagram, the voltage-time relation diagram and the stress field cloud diagram, and the reliability of battery detection is ensured.

The invention discloses a top coal fracture fractal analysis method based on CT imaging, and belongs to the field of fracture fractal detection.The method comprises the following steps that a three-dimensional digital model containing fracture information is obtained through three-dimensional reconstruction based on CT scanning data of a top coal sample; an image processing method is adopted to process the three-dimensional digital model, a fracture network is extracted, and topological parameters are calculated; processing the fracture network by adopting a fractal analysis method, and calculating to obtain global fractal dimension and local dimension statistical characteristics; statistical features of the topological parameters, the global fractal dimensions and the local dimensions are fused to form a multi-scale feature vector; and based on the multi-scale feature vector, processing through a machine learning model to obtain a top coal fracture classification result. According to the method, the limitation that a traditional method depends on a single index and is high in subjectivity is overcome, and objective and accurate recognition of the top coal fracture development grade is achieved.

To support arrangement of a support tool for a subject in CT imaging in a standing position and / or a sitting position.SOLUTION: An X-ray CT apparatus includes an X-ray tube, an X-ray detector, a scanner, a stand, an acquisition unit, a generation unit, and a display control unit. The X-ray tube irradiates a subject with X-rays. The X-ray detector is configured to detect the X-rays that have passed through the patient. The scanner houses an X-ray tube and an X-ray detector, and has an opening into which a subject in a standing or sitting posture is inserted. The processing circuitry acquires external shape information representing an external shape of a subject and first identification information for identifying an imaging region of the subject. The processing circuitry is configured to generate supporting information indicating at least one selected from between a type and an arrangement of a support member for the subject, on the basis of the external shape information, the first identification information, and the space capable of being imaged by the scanner. The display controller displays the support information.SELECTED DRAWING: Figure 7

The application discloses a kind of second generation nickel-based single crystal superalloy recrystallization defect simulation and control method.The method steps are: according to sample preparation wax mold, after sand blasting, dry baking, manufacture ceramic shell;Through directional solidification preparation second generation nickel-based single crystal superalloy sample, control pulling speed, holding temperature and temperature gradient and other parameters;According to service condition preparation sample, simulate stress loading, in combination with heat treatment simulate actual service environment;Using electron backscattering diffraction and X-CT imaging, characterize recrystallization grain orientation distribution, three-dimensional morphology, content and thickness.Process parameter-defect characteristic mapping relationship is established, the stress distribution characteristics during preparation are clarified, the ceramic shell and preparation process are feedback controlled, and the control of recrystallization defects is realized.The application simulates the actual service environment of high-temperature alloy blade, and restores the performance of recrystallization defect sample in actual service environment.The application provides an experimental reproduction method and effective process control strategy for recrystallization defect research.

The invention provides an X-ray CT imaging method and device, electronic equipment and a storage medium. Simulating an intense radiation field in the 4 pi direction in the simulated world, and starting the simulated X-ray CT imaging system to perform first simulation calculation; in the X-ray CT imaging system, X-rays are emitted through an emitter, and a die body is scanned and energy deposition is recorded through a detector; in the first simulation calculation process, the simulation calculation of the current angle is stopped when the X-ray of each angle hits the boundary of the world, and the first simulation calculation process is stopped until the X-ray of the last angle hits the boundary of the world; and obtaining a first CT image of the die body through a three-dimensional reconstruction algorithm based on two-dimensional projection images of different angles output by energy deposition converted and recorded by the detector. According to the method, the problem that systematic evaluation of the influence of a space intense radiation environment on X-ray CT imaging full-link performance can be solved.

An application for the EGT-AuNPs in preparing contrast agents and / or antioxidants is provided, where the EGT-AuNPs include gold nanoparticles (AuNPs), the AuNPs are connected to L-ergothioneine (EGT) by gold-sulfur bonds, and the antioxidants include medicines for preventing and / or treating acute kidney injury (AKI). EGT-AuNPs with antioxidant activity are designed and synthesized through the combination of the higher imaging contrast of gold and the antioxidant natural product EGT, and they are ultra-small AuNPs, which achieve the combination of CT imaging and antioxidant effects, and are suitable for renal imaging, particularly for the early diagnosis and treatment of AKI, realizing the integration of diagnosis and treatment, circumventing the toxicity of contrast agents present in the conventional nanomaterials, lowering the serum creatinine and urea nitrogen levels, and reducing the degree of renal tubular damage.

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 invention discloses a preparation method of a carbon fiber-iodine doped carbon quantum dot composite material based on surface modification and chemical crosslinking, and belongs to the technical field of nano composite materials. The material is prepared by carrying out surface treatment on carbon fibers to introduce functional groups, carrying out iodine doping on carbon quantum dots, and directionally connecting complementary functional groups of the carbon fibers and the carbon quantum dots by adopting a bifunctional crosslinking agent (such as 1-ethyl-3-(3-dimethyl propyl) carbodiimide (EDC) / N-hydroxysuccinimide (NHS), glutaraldehyde, hexamethylene diisocyanate and toluene diisocyanate). A stable composite interface is formed through covalent bonds. According to the method, the high CT contrast ratio of the iodine-doped carbon quantum dots is utilized, and in the using process of the carbon fiber, damage and defects in the carbon fiber structure can be detected through a CT imaging method.

The application discloses a kind of simultaneously sparse angle CT reconstruction and metal artifact high-precision correction method, belong to medical imaging field, specifically: simulate the projection data under the influence of beam hardening under sparse angle sampling, obtain sparse sampling and the sinogram of containing metal trace;Interpolation processing is carried out to sparse sinogram, and the sinogram is obtained as the initial sinogram of sinogram domain;According to the additive property of artifact, preliminarily decompose the CT image containing a large number of artifacts, obtain the initial estimated image of image domain and the initial artifact image of artifact domain;A multi-domain optimization model is established, and the constructed multi-domain optimization problem is alternately iterated minimization solution;Iterative update is carried out to sinogram domain, image domain and artifact domain respectively;The high-precision CT image of reconstruction is output.The application can simulate the sinogram containing metal trace and sparse obtained by CT imaging equipment to carry out simultaneously sparse angle CT reconstruction and metal artifact correction, and the reconstruction effect is good and correction precision is high.

The application belongs to the technical field of material preparation, and relates to a bimodal functional imaging nanomaterial and a preparation method and application thereof. 1‑x Fe x Se2, wherein 0 < x < 1. The preparation method of the bimodal functional imaging nanomaterial comprises the following steps: stirring ferrous sulfate and cysteine in a solvent until uniform, then fully stirring bismuth salt, then adding sodium selenite to perform a heating reaction to obtain a bismuth iron selenium nanocomposite. The bismuth iron selenium nanocomposite provided by the application is uniform in size, regular in morphology, has good water phase dispersibility, and has the performance of simultaneously enhancing MRI imaging and CT imaging.

The invention discloses a coronary artery CT imaging reexamination time window prediction method fusing multi-source information, and the method comprises the steps: collecting the multi-dimensional data of a patient, confirming an imaging index based on the multi-dimensional data, arranging baseline clinical information and the drug use condition of the patient based on the multi-dimensional data, concluding the CCTA reexamination time of the patient with coronary heart disease, and carrying out the prediction of the CCTA reexamination time of the patient with coronary heart disease. Constructing a multi-dimensional data set, preprocessing the data set, and performing assignment quantification on risk factors; a LightGBM sub-model is constructed through the processed data, the accuracy and generalization ability of a final prediction result are improved by adopting a Stacking method, and a model-independent local interpretable technology LIME is introduced to reduce a loss function; according to the method, the problem that the optimal CCTA review time window is difficult to accurately predict due to the fact that only traditional factors such as hypertension and diabetes are included in an existing evaluation method, and imaging information capable of directly quantifying and representing individualized plaque features, rich clinical information in electronic medical records and interaction among multi-source information are ignored is solved.

The invention relates to the technical field of poultry determination, and provides a vertebra body size character determination method and device.The method comprises the steps that a three-dimensional CT image of poultry is obtained, and the three-dimensional CT image is segmented into a plurality of two-dimensional cross section images along the Z axis; wherein each two-dimensional cross section image is divided into a corresponding Z-axis index number; for each two-dimensional cross section image, obtaining a target two-dimensional cross section image marked with a target vertebra detection frame by using a target vertebra detection model; and determining the body size character of a target vertebra according to the target vertebra detection frame and the Z-axis index number of the target two-dimensional cross section image. According to the method, through combination of three-dimensional CT imaging layering processing and the Z-axis index number, accurate association between the two-dimensional image and the three-dimensional space position is established, and through combination of accurate positioning of the target vertebra detection model, the accuracy of vertebra body size character measurement of a lossless living body is improved.

The invention relates to high resolution PET-CT imaging using PCCT and an advanced generative model. Systems and methods for generating a high resolution photon counting CT (PCCT) and PET image using a pair of high resolution PET images from the same patient. A machine learning network is trained on pairs of images from a patient. When the trained model is applied, new patient's PET and PCCT images may be used to generate high resolution PET images for medical diagnosis or further processing.

This invention provides a cathode-unitized X-ray source, a static CT imaging system, and an image enhancement method, comprising: a vacuum tube; a cathode end for emitting electron beams, the cathode end including an exposure control module and multiple electron emission units arranged in a matrix on the same side of the exposure control module, all electron emission units being independent and electrically connected to the exposure control module; an anode target bombarded by the electron beam, the anode target including an anode body and a target surface formed on the anode body, the target surface being located on the emission path of the electron emission units; when the exposure control module receives an external control signal, it establishes a voltage line between the selected electron emission unit and the exposure control module, the electron emission units emitting electrons one by one or row by row toward the target surface, and the target surface reflecting X-rays to a window under the bombardment of electrons. This invention can increase the scanning range, improve the image quality of static CT, and extend the lifespan of the X-ray source.

The object of the present invention is to provide an industrial X-ray CT control method and an industrial X-ray CT control device that can effectively perform imaging according to the size of large specimens. [Solution] The present invention provides an industrial X-ray CT control method for which a specimen is placed on a rotary table and the rotary table is rotated to perform X-ray CT imaging, characterized in that a first irradiation is performed such that the X-ray irradiation axis passes over the central axis of the rotary table and includes a range parallel to the detection surface of the X-ray detection device at a first distance from the central axis, and a second irradiation is performed such that the X-ray source and the X-ray detection device are slid in a direction parallel to the detection surface and X-ray CT imaging is performed such that a range parallel to the detection surface of the X-ray detection device is greater than or equal to a first distance from the central axis and less than or equal to the radius of the rotary table.