20 results about "Ct technology" patented technology

The application provides a product internal flow channel profile extraction method based on industrial CT. The method comprises: obtaining an industrial CT three-dimensional image of a product to be detected; slicing the industrial CT three-dimensional image to obtain a plurality of two-dimensional slices; obtaining a plurality of flow channel contours in the plurality of two-dimensional slices; splicing the plurality of flow channel contours to form a three-dimensional model; and extracting the flow channel profile based on the three-dimensional model. The method directly extracts the flow channel structure by using a segmentation technique in three-dimensional CT volume data, reconstructs the flow channel structure into a three-dimensional point cloud model, and thus intuitively and quickly analyzes parameters such as the wall thickness, size, shape and directionality of the flow channel. The method solves the problem that the existing industrial CT technology cannot directly evaluate the blockage, size and integrity of the flow channel through volume data.

The invention provides an underground cavern group geological analysis method based on a TGS technology and a CT technology, and the method comprises the steps: scanning the geological conditions of an underground cavern group in the horizontal direction through the TGS technology, and obtaining first geological data in the horizontal direction; forecasting the geological conditions of the underground cavern group in the vertical direction through a CT technology to obtain second geological data in the vertical direction; fusing the first geological data and the second geological data to generate a three-dimensional geological model; based on the three-dimensional geologic model, identifying the position and the distribution range of unfavorable geologic bodies in the underground cavern group, and analyzing the geological characteristics of the surrounding rock to obtain an analysis result; according to the analysis result, the spatial distribution information of the unfavorable geologic body and the corresponding geological phenomenon description are output, the misjudgment risk caused by data discontinuity of a traditional method is overcome, and the recognition capacity for complex geological phenomena such as inclined strata and cross fractures is improved.

The invention belongs to the technical field of CT (Computed Tomography), and discloses an anti-backswing shielding curtain, which comprises a first curtain and a second curtain, the second curtain is formed by second curtain strips side by side; the first curtain and the second curtain are arranged in a laminated manner; the first resistance piece is fixedly arranged on the first curtain strip, and the second resistance piece is fixedly arranged on the second curtain strip; at least one first resistance piece is arranged on the first curtain strip, and the second resistance pieces and the first resistance pieces are arranged in a one-to-one correspondence mode and attract each other; security check articles pass through the shielding curtain from one side of the first curtain, and when the shielding curtain is suspended and is not subjected to external force, the fixing position of the first resistance piece is lower than that of the corresponding second resistance piece. The invention further discloses a CT security inspection machine comprising the anti-backswing shielding curtain. The technical problems that in an existing security inspection machine, the backswing amplitude of a shielding curtain is too large, and the internal space of the machine cannot be fully utilized are solved.

This invention discloses a weak signal processing method for electromagnetic wave CT, solving the problem that electromagnetic wave attenuation leads to signal submersion in strong environmental noise when electromagnetic wave CT technology is used for long-span measurements or measurements in strata with high absorption coefficients. This enables the application of electromagnetic wave CT technology with borehole spacing exceeding 40m in strata with high absorption coefficients, reducing the number of boreholes along geological exploration routes by more than half, significantly reducing drilling costs and improving geological exploration efficiency. This invention has been tested in several confidential experiments on multiple subway lines, achieving good results. The application of this invention will have significant implications for improving the efficiency of urban underground space development and geological exploration in complex environments, as well as controlling construction costs.

The invention discloses an application of nitric oxide synthase neurons in an island leaf cortex II layer in preparation of a medicine for treating osteoporosis, and systematically reveals a nerve stress induced bone metabolism imbalance mechanism by constructing a chronic heterologous pressure stress mouse model and combining an enzyme-linked immunosorbent assay and a high-resolution micro-CT (Computed Tomography) technology; the method comprises the following steps: accurately positioning specific nerve connection between nNOS neurons of an island leaf cortex II layer and bone tissues for the first time by adopting a reverse cross-polysynaptic virus tracing technology, and determining that the region is a key central target point regulated and controlled by a brain-bone axis; the activity of target neurons is specifically intervened through a chemical genetics technology, it is proved that activation can induce the phenotype of osteoporosis, and pathologic indexes are remarkably improved through inhibition.

The invention provides an efficient mu-CT image resolution enhancement and deblurring method and system, and relates to the technical field of image processing.The method comprises the steps that firstly, an original high-resolution image is collected and processed through a multi-mode degradation method to generate a low-resolution image so as to construct a training set; and meanwhile, the unsaturated Taihua sand is imaged by adopting a phase contrast mu-CT technology and the like to obtain a test set. A network model containing three generators, a feature extractor and a discriminator is built, a loss function is determined according to a balance loss method, and the generators are optimized; then, a generative adversarial network model is obtained through a low-resolution image training model, the performance of the generative adversarial network model is adjusted by means of hyper-parameters, and a super-resolution image is obtained by predicting a test set through the model. And finally comparing image indexes to evaluate the generalization ability of the model so as to decide whether to continue training. Compared with a traditional method, the method has better performance on various image indexes, can effectively improve the quality of the porous medium mu-CT image, and has important application value in multiple fields of oil and gas exploitation, geological exploration and the like.

The application relates to the field of precision detection technology and discloses a machine tool key component detection method based on industrial CT, which comprises the following steps: CT scanning of a machine tool key component to be detected to obtain CT image data; generating a three-dimensional model of the key component based on the CT image data; and defect segmentation of the three-dimensional model by using a deep learning segmentation network, wherein the deep learning segmentation network adopts an encoding-decoding structure, a channel attention unit is introduced in an encoder, a spatial attention unit is introduced in a skip connection, and internal defects are identified; the application realizes nondestructive testing of machine tool key components by using the industrial CT technology, the key components do not need to be disassembled, a deep learning segmentation network is used and a double-attention mechanism is introduced, the identification capability of small-size defects is significantly improved, accurate positioning and classification of defects are realized, and the high-precision detection requirement of machine tool key components is met.

The utility model relates to the technical field of medical products, and discloses an electrode wire and a stimulation system. The stimulation section of the electrode wire is provided with a developing identification assembly, the developing identification assembly is provided with a first identification part and a second identification part which are connected with each other in the axial direction of the electrode wire, and the first identification part is provided with at least one through identification hole. The angle of the development identification assembly can be identified in the X-ray development image of the development identification assembly through the identification hole; the second identification part comprises two arc-shaped display sheets extending in the axial direction of the electrode wire, the two display sheets are arranged at intervals in the circumferential direction, a first notch is formed between the ends, close to each other, of the two display sheets in the circumferential direction, and a second notch is formed between the ends, away from each other, of the two display sheets in the circumferential direction. The first gap is smaller than the second gap. Through the X-ray imaging technology and the CT technology, the orientation information of the electrode plate can be obtained through naked eyes, and the operation convenience is improved.

The present application relates to the technical field of high-performance cement-based material preparation and process control, and particularly relates to a self-compacting ultra-high performance concrete performance optimization method based on rheological parameter regulation. The steps are as follows: steel fibers are added to self-compacting ultra-high performance concrete slurry with rheological parameters in a set range to prepare test pieces, X-ray CT technology is used to perform three-dimensional reconstruction on the test pieces after curing, steel fiber distribution parameters are extracted, and crack propagation morphology and strain field distribution data are collected; an interface homogeneity index related to the steel fiber distribution parameters, crack propagation morphology and strain field distribution data is constructed, and X-ray CT technology is used to perform interface densification analysis; a function mapping relationship between the rheological parameters and the interface microstructure is constructed to determine the value range of the optimal yield stress and plastic viscosity. The above method is used to realize performance optimization in the self-compacting ultra-high performance concrete preparation stage.

The invention provides a method and device for determining the dependent variable of a loaded coal rock test piece and electronic equipment, and the method comprises the steps: obtaining a coal rock test piece, a first scanning image of the coal rock test piece in an unloaded state, and a plurality of second scanning images of the coal rock test piece in a continuous load state, thereby obtaining a dependent variable of the coal rock test piece for any second scanning image; according to the second scanning image and the first scanning image, determining the accurate displacement of each voxel in the second scanning image, and then according to the accurate displacement of each voxel in the second scanning image and the position of each voxel in the second scanning image in the first scanning image, determining the accurate displacement of each voxel in the second scanning image; and determining the dependent variable of the corresponding point of the coal rock test piece in the load state corresponding to the second scanning image. Therefore, the CT technology and the DVC technology can be combined to determine the dependent variable of any point of the loaded coal rock test piece in the corresponding load state, and the accuracy and reliability of dependent variable determination are effectively improved.

This utility model belongs to the field of CT technology and discloses a rotor system for CT equipment and a CT equipment. The rotor system for CT equipment includes a main body, a mounting frame, and a radiation source assembly. The main body is used for fixed connection with the bearing rotor of the CT equipment and has an installation space within it. The mounting frame is disposed on the main body and has multiple mounting positions for mounting detectors capable of receiving X-rays. The radiation source assembly is disposed on the main body and is positioned opposite the mounting frame to generate X-rays that irradiate the detector. Therefore, when this rotor system for CT equipment is used, it not only improves the installation position accuracy of the detector, enabling the detector to receive X-ray signals with high quality, but also effectively improves detection accuracy when used in a CT equipment. Furthermore, the main body does not require high-level precision machining, and the mounting frame can be manufactured using conventional machining designs, thereby effectively reducing manufacturing difficulty.

The application discloses a microcosmic residual oil type conversion quantitative analysis method based on CT technology. The method comprises the following steps: collecting a core sample of a to-be-detected area, simulating a displacement process of the core sample, and collecting two-dimensional CT scanning images corresponding to the core sample under at least two different displacement states in the displacement process; for the two-dimensional CT scanning images under each displacement state, an oil phase three-dimensional model under the displacement state is obtained by recombination respectively; according to a three-dimensional shape factor G of a residual oil cluster in the oil phase three-dimensional model and an Euler number E of a pore space N , a microcosmic occurrence type of the residual oil cluster is divided; according to a conversion relationship of the residual oil cluster, a microcosmic residual oil type conversion three-dimensional model is obtained. The microcosmic residual oil type conversion three-dimensional model is applied to calculate a residual oil cluster conversion rate and an actual production proportion. The application is more accurate in residual oil type division and quantitative analysis, and is beneficial to improve the production degree of microcosmic residual oil.

This invention discloses a method for dynamically and non-invasively evaluating the effects of oral health supplements on the liver based on Micro-CT technology, comprising the following steps: S1, experimental grouping and treatment: experimental mice are divided into a blank group, a model group, and at least one sample group; S2, after injecting all experimental mice with the nanoparticle contrast agent ExiTron nano 6000, liver scans are performed using Micro-CT. After the scans are completed, the raw data are reconstructed into three-dimensional images, and the area under the curve of the standard deviation of liver parenchyma CT values ​​from 0 to 28 days is calculated using CTAn software; S3, definition and evaluation of liver damage. This invention utilizes Micro-CT imaging technology to evaluate the effects of oral health supplements on the liver of mice by dynamically monitoring changes in liver morphology and density, and is particularly suitable for safety assessment and biological effect analysis of health supplements at the liver level.

This invention belongs to the field of CT technology and proposes a dual-energy CT image fusion method based on generative adversarial networks (GANs) for fusing low-energy and high-energy tomographic images under different X-ray exposure conditions. The GAN comprises a generator and two discriminators. The generator extracts detailed information from the CT images and generates random samples resembling real samples based on a preset loss to deceive the two discriminators. The discriminators distinguish the structural differences between the fused CT image and the two source images, determining whether the data is real or fake. Through continuous adversarial training between the generator and discriminators, and through end-to-end model training, the fusion model is constructed, finally generating a fused CT image containing both high and low energy information. This invention's dual-energy CT image fusion method based on GANs produces a fused dual-energy CT image with richer details, which is beneficial for further processing of the CT image.

The invention discloses an ultralow-temperature mechanical property in-situ testing method based on a CT technology, and relates to the technical field of material science testing, and the method comprises the steps: according to a steady state confirmation record, collecting no-load three-dimensional body data, extracting a no-load reference feature set, and forming a no-load reference binding table through binding baseline signals; executing in-situ excitation on the no-load reference binding table, collecting a data stream of a mechanical sensor, and obtaining loading state three-dimensional body data through CT to form a loading state binding table; performing volume data registration and digital volume correlation inversion on the loading state binding table to obtain DVC displacement field data, and obtaining a material state judgment parameter set in combination with multi-parameter mapping constraint; and based on the material state judgment parameter set, solidifying the grouping judgment rule and endowing a state label to form an ultralow-temperature in-situ test report. According to the invention, accurate quantification of internal full-field mechanical parameters is realized, and the effect of enhancing test depth and reliability is achieved.

The application belongs to the technical field of ultrasonic imaging, and particularly relates to an ultrasonic CT phased array method based on a ring array, wherein the ultrasonic CT adopts a ring array sensor, including N ring-arranged array elements, and the excitation pulses of each array element are delayed and emitted according to the characteristics of the required ultrasonic beam in terms of delay time; during reception, the echo signals received by each array element are compensated in terms of delay according to the delay time during emission, and then coherent superposition is performed to realize beam forming. The application combines the advantages of the ring array, the ultrasonic CT technology and the phased array principle, combines the ultrasonic CT phased array principle based on the ring array, constructs the ultrasonic CT phased array method based on the ring array, and effectively improves the shortcomings of inaccurate ultrasonic detection, low imaging resolution and limited application field range.

This invention discloses a non-destructive testing method and system for reverse osmosis membrane element defects based on micro-CT, belonging to the field of non-destructive testing technology for water treatment membrane materials. This invention uses high-resolution micro-CT technology to perform three-dimensional structural analysis of reverse osmosis membrane elements, achieving non-destructive testing of back pressure damage and membrane fouling within spiral-wound membrane elements. During membrane element testing, CT scan images on the concentrate side showed fine cracks at the membrane bag bonding joint, indicating back pressure damage to the membrane element, leading to a significant reduction in its desalination performance. Actual measurements revealed that the thickness of the concentrate separator in the membrane element was 0.69 mm (nominal value 0.86 mm), indicating that membrane fouling caused channel blockage, thus significantly reducing permeate yield. This invention's method can deeply reveal microstructural defects within the membrane element, obtaining non-destructive three-dimensional image data, providing a non-destructive testing method for solving the problems of back pressure damage and membrane fouling in reverse osmosis membranes.

The invention relates to the technical field of detection and identification of damage of a cement-based material subjected to salt erosion, in particular to a method for detecting salt erosion damage of a cement-based material based on a CT (Computed Tomography) technology, which comprises the following steps: extracting. Dcm file data obtained by CT scanning, identifying volume deformation, porosity change and mortar density change of the cement-based material subjected to salt erosion, and calculating the damage of the cement-based material subjected to salt erosion. The damage and degradation characteristics of the cement-based material under the action of salt erosion are reflected. According to the detection method disclosed by the invention, under the action of salt erosion, the volume deformation, porosity change and mortar density change of the cement-based material subjected to the action of salt erosion are identified by adopting a CT technology according to the principle, and the damage and degradation characteristics of the cement-based material subjected to the action of salt erosion are reflected; the method is suitable for the deterioration characterization of the cement-based material at the initial stage of salt erosion, overcomes the attenuation effect of X rays during CT scanning, is not limited by the resolution ratio of CT detection equipment, and provides a new method for the detection and identification technology of the damage of the cement-based material under the action of salt erosion.

The invention provides an intelligent grouting anti-seepage control system and method for a fractured rock stratum, and the method comprises the steps: carrying out the three-dimensional scanning detection of the fractured rock stratum through a sound wave CT technology, constructing the three-dimensional space information of the fractured rock stratum, recognizing the fracture presentation characteristics of the fractured rock stratum, carrying out the multi-index analysis of the fracture presentation characteristics through a preset clustering algorithm, and obtaining the fractured rock stratum. The method comprises the following steps: determining high, medium and low three-level grouting subareas, constructing and operating a grouting correlation model of the fractured rock stratum, obtaining a grouting demand corresponding to each level of grouting subarea, and controlling corresponding grouting equipment to perform grouting operation on the fractured rock stratum by using a specified grouting process. And meanwhile, the grouting effect of the grouting operation is restored and evaluated by utilizing the grouting correlation model, so that the defects that the traditional grouting construction depends on artificial experience, each link is disjointed, the construction precision is low, the effect feedback is lagged and the like are fundamentally overcome.

The invention specifically discloses a full-water-covering complex changeable stratum detection method based on multi-source data fusion, and relates to the technical field of geological detection. The method comprises the following steps: S1, carrying out general survey on a target water area by adopting a water surface transient electromagnetic detection technology, and delineating a disaster source abnormal area; s2, carrying out fine checking on the delineated abnormal area by adopting a multi-frequency drilling sonar, and carrying out fine checking in combination with a cross-hole elastic wave CT (Computed Tomography) technology; s3, performing electric shock coupling inversion analysis on multi-source data obtained by general survey, fine survey and fine survey, and establishing a multi-dimensional collaborative survey model; s4, performing noise reduction, simplification and splicing on the detection data to form a point cloud model; s5, converting the point cloud model into a computability entity model, and constructing a disaster source critical safety distance prediction model; and S6, constructing an intelligent decision-making system for disaster source treatment, and outputting a detection report and a construction suggestion. The electromagnetic shielding bottleneck of the full-water-covering stratum is broken through, and technical support is provided for efficient propulsion of the full-water-covering complex changeable stratum.