230 results about "Scan time" patented technology

The invention discloses a contour detection method and system for aluminum bar quality inspection based on an image recognition technology, and belongs to the technical field of computer vision detection.According to the method, a high-speed optical scanner is used for scanning the surface of an aluminum bar at multiple incident angles, and reflection change curves at different incident angles are obtained; a two-dimensional grey-scale map is obtained, the two-dimensional grey-scale map is converted into a depth parameter matrix, meanwhile, the incident angle position of a light beam, the scanning speed and a scanning time sequence are synchronously recorded in the scanning process, gradient second-order differential transformation is conducted on the obtained depth parameter matrix in the contour direction, and a curvature amplitude spectrum is generated; a high-speed optical scanner is used for scanning the surface of the aluminum bar at multiple incident angles, a reflection change curve and a depth parameter matrix are synchronously obtained, key parameters such as the light beam incident angle and the scanning speed are recorded, the problem that traditional single-angle scanning contour information is incomplete is solved, the three-dimensional shape of the surface of the aluminum bar can be represented more comprehensively, and the accuracy is high. And initial feature extraction deviation caused by information loss is reduced.

According to the parameter image generation method and device for shortening the dynamic PET scanning time, the electronic equipment and the storage medium, the 3D image of the time frame of the first 25 minutes of dynamic PET scanning is obtained, feature extraction is conducted on the 3D image, the multi-scale feature map is generated through the network encoder part, the multi-scale feature map is mapped through the network decoder part, and the dynamic PET scanning time is shortened. According to the method, a Ki parameter image for network prediction is generated, the Ki parameter image for network prediction is optimized, the optimized Ki parameter image serves as input of next iteration, the steps are repeated until the set convergence condition is met, and the Ki parameter image meeting the requirement is finally obtained. And the quality of the generated Ki parameter image is beneficial to auxiliary diagnosis, so that the clinical examination efficiency and the comfort of a patient are remarkably improved, motion artifacts which are easy to occur during dynamic PET scanning are reduced as much as possible, and the quality of the generated Ki image and the diagnosis accuracy of a doctor are further ensured.

The invention belongs to the technical field of radio metering detection, and particularly discloses a time difference and angle measurement method and device for a microwave navigation landing system and a medium, and the method comprises the steps: responding to a received barker code, obtaining reference time, and carrying out the time synchronization; obtaining a scanning pulse according to the scanning interval and the back-scanning interval; analyzing and extracting the A / D sampling signal according to the scanning pulse to obtain a forward scanning beam and a backward scanning beam in the scanning pulse; obtaining a scanning time difference according to the forward scanning beam and the backward scanning beam; according to the scanned time difference, analysis is carried out based on non-constant clock counting, and a time difference signal is obtained; obtaining MLS angle data based on preset space angle position coding data according to the time difference signal; the invention aims to solve the problems of weak anti-interference acting force and low angle guiding precision of a microwave navigation landing system in the prior art.

The invention discloses a non-uniform sparse sampling single-section near-field test system and method, and belongs to the technical field of test. According to the method, the single-section radiation field is expressed in a matrix form, the unknown transmission coefficient is solved from the system of linear equations through an inverse matrix method, and the defect that a traditional single-section near-field test method based on fast Fourier transform depends on the distribution uniformity of near-field samples is overcome; under the assumption that antenna transmission coefficients have sparsity, a compressed sensing technology is introduced, L1 norm minimization constraint is applied to a transmission coefficient vector q to ensure the sparsity, and under the condition that the number M of single-section near-field samples is smaller than the number J of unknown coefficients, the transmission coefficients can be solved from an underdetermined linear equation set; according to the invention, a non-uniform sampling-based single-section near-field test method is realized, and the flexibility of a sampling mode is improved; the number of sampling points and the scanning time are reduced, and the testing efficiency is improved; and the far-field reconstruction precision is higher.

The invention relates to a self-adaptive three-dimensional laser scanning resolution optimization algorithm based on an automatic scanning device. According to the curvature condition in each grid obtained by the first time of coarse scanning, a plurality of areas with large optical path distance changes are combined into a large area with a small number through an image expansion method, and then fine scanning is carried out by using a small step length (the numerical value is about 1 / 3-1 / 10 of a large step length); according to the method, under the condition that the scanning efficiency is guaranteed, the high-resolution point cloud image is obtained in a self-adaptive mode, the high-curvature area is combined through curvature analysis and morphological dilation, the scanning step length is dynamically distributed, and the total scanning time is shortened while the precision is guaranteed.

The invention discloses a method for measuring the perpendicularity of an offshore super-long steel casing. The method comprises the following steps: uniformly mounting four measuring targets at the top of a to-be-measured steel casing; the three-dimensional coordinates of the four measurement targets are accurately obtained through a total station polar coordinate method, and after data collection is completed, the direction of the measurement marks is adjusted so that the measurement marks can directly face the position of an operation supporting rod of the three-dimensional laser scanner; the scanning time of the observation stations is about 57 s, and 2-4 observation stations are used to complete data acquisition; generating a three-dimensional point cloud; and the perpendicularity and three-dimensional space coordinates of the to-be-measured steel casing are obtained. According to the offshore super-long steel casing perpendicularity measuring method, the measuring field operation time is short, the scanning operation of each station of a field laser scanner only needs 57 seconds, and the operation efficiency is far higher than that of a conventional measuring means; and meanwhile, compared with a conventional measurement means, the three-dimensional laser scanning technology realizes non-contact measurement, three-dimensional coordinates of measurement points are obtained, and the safety of measurement work is greatly ensured in a complex sea area environment.

The invention discloses a quantitative magnetic susceptibility imaging accelerated scanning method based on short gradient echoes, and belongs to the field of medical image scanning, and the method comprises the steps: designing scanning parameters suitable for short echo data; constructing a de-noising diffusion probability model comprising a forward noise adding process and a reverse de-noising process, wherein a wavelet transform module is embedded in the reverse de-noising process; extracting short echo data from full echo data of the multi-gradient echo sequence, and training the de-noising diffusion probability model based on the short echo data to obtain a trained de-noising diffusion probability model; configuring the scanning parameters in a magnetic resonance imaging system; acquiring short echo quantitative magnetic susceptibility imaging data based on the configured scanning parameters; and inputting the acquired short echo quantitative magnetic susceptibility imaging data into the trained denoising diffusion probability model, and reconstructing a quantitative magnetic susceptibility image. According to the method, through scanning parameter setting and deep learning model optimization reconstruction, the existing quantitative magnetic susceptibility reconstruction scanning time can be greatly reduced, and the image quality is kept consistent.

The invention provides a dynamic PET image and kinetic parameter prediction method and device and a storage medium. The method comprises the steps that first N frames of dynamic PET image data are obtained and preprocessed to obtain a standard image sequence; and inputting the standard image sequence into the prediction model to obtain subsequent frame dynamic PET image data and a corresponding kinetic parameter map. The prediction model comprises an image structure sensing channel for extracting image structure features, a dynamic modeling channel for extracting dynamic parameter features, a cross fusion module for fusing the image structure features and the dynamic parameter features, and a prediction reconstruction module for performing prediction reconstruction based on a fusion result. The method has the advantages that image structure features and kinetic parameter features can be fused on the basis of the dynamic PET image early-stage frames, scanning time and radiation dose are reduced, and meanwhile follow-up frame dynamic PET image data with high image quality and dynamic interpretability and the corresponding kinetic parameter atlas are generated.

The embodiment of the invention provides a magnetic resonance imaging method and related equipment. The magnetic resonance imaging method comprises the following steps: applying a multi-spin echo sequence in each magnetization reset period, and collecting a group of multi-spin echo data sets until M groups of multi-spin echo data sets are obtained; after each magnetization reset period, a T1rho preparation pulse with spin locking duration is applied, then a multi-gradient echo sequence is applied, a group of multi-gradient echo data sets are collected until M groups of multi-gradient echo data sets are obtained, and the M groups of multi-spin echo data sets and the M groups of multi-gradient echo data sets correspond to M different spin locking durations respectively; and performing fitting operation on the M groups of multi-spin echo data sets and the M groups of multi-gradient echo data sets to generate a quantitative atlas. According to the technical scheme, the problems that a traditional T1rho sequence is long in scanning time, low in signal-to-noise ratio and single in contrast ratio are effectively solved, and the technical effects of time multiplexing and multi-contrast imaging are achieved.

The invention provides a pathological section multi-label identification method and device and a readable storage medium thereof. The pathological section multi-label identification method specifically comprises the steps that focusing point three-dimensional coordinate data recorded by scanning equipment is utilized, a focusing curved surface is fitted through cubic spline interpolation, a fitting error threshold value is determined based on the depth of field of an objective lens and a motion error, and density labels are divided at the optimal focus interval; designing a neural network containing a residual convolution module, and fusing multi-scale features to realize double-task joint learning; and through a dynamic threshold post-processing algorithm, the segmentation threshold is adaptively adjusted according to the classification confidence, and the recognition robustness is improved. The method does not need special hardware, can be deployed in a general CPU / GPU, remarkably reduces the number of focusing points and scanning time, improves classification precision and segmentation precision, effectively balances scanning efficiency and image quality, and is suitable for various pathological section types such as TCT, HE and IHC.

The invention discloses a multi-mode whole-body blood vessel magnetic resonance imaging method and device, and the method comprises the steps: displaying prompt information for carrying out the cascade wrapping of a whole-body magnetic resonance coil and the input of a contrast agent for a target object, and enabling the contrast agent to be polysaccharide superparamagnetic iron oxide; setting a signal mark point on the constructed whole body positioning image and configuring a multi-modal imaging sequence; emitting a magnetic resonance radio frequency pulse, and receiving a coil electric signal transmitted by the whole body magnetic resonance coil; determining the signal intensity of each set signal mark point according to the coil electric signal; when the signal intensity is larger than a preset threshold value, whole-body blood vessel scanning is conducted on the target object through the multi-mode imaging sequence; and performing image reconstruction according to the scanned target image sequence to generate a whole body blood vessel image. By adopting the embodiment of the invention, one-stop imaging of large and small blood vessels of the whole body can be realized at one time by utilizing a scanning mode of cascading wrapping of the whole body magnetic resonance coil, so that the scanning time is greatly shortened, and the blood vessel imaging efficiency is improved.

Example aspects include a method, apparatus and computer-readable medium of determining losses at a point of sale (POS) device, comprising receiving, by a processor from an imaging device, a video feed of a scanning area. The aspects further include detecting, by the processor, an entry of an item into the scanning area. Additionally, the aspects further include identifying, by the processor, one or more motion parameters of the item. Additionally, the aspects further include determining, by the processor, a dwell-time for the item based at least on the one or more motion parameters. Additionally, the aspects further include identifying, by the processor, a scan time anomaly for the item. Additionally, the aspects further include outputting a notification, by the processor, indicating a suspicious activity for the item, wherein the notification indicating the suspicious activity is based on the scan time anomaly.

An object perspective device (100) is provided with: a transmission unit (101) that transmits, to a target object (T), a transmission radio wave obtained by repeatedly performing a frequency scan in which the frequency is changed from a first frequency to a second frequency at a frequency scan time; a reception unit (102) for receiving, using the array antenna element, a received radio wave in which the transmission radio wave is reflected by the target object (T); a three-dimensional image generation unit (8) that generates a three-dimensional image on the basis of a reception signal of the array antenna element by each frequency scan; and an object detection unit (9) that detects an object on the basis of the plurality of three-dimensional images, the object perspective device changing at least one of the first frequency, the second frequency, the frequency scanning time, and the number of array antenna elements used in the detection of the object in a time division manner.

This invention provides a system and method for scanning the properties of micro-regions in solar cells. The system includes: a one-dimensional laser source configured to generate a one-dimensional line-scan laser; a sample stage for holding the solar cell sample to be tested; a precision displacement device configured to cause relative movement between the one-dimensional laser source and the sample stage, enabling the one-dimensional line-scan laser to scan the measured region of the solar cell sample, comprising multiple micro-regions, in a cross-scan manner; a micro-region property measurement unit configured to acquire property data of the scanned measured region; and an automatic control and data processing unit configured to collect the property data from the micro-region property measurement unit, extract property information at the perpendicular intersections of the cross-scans based on the property data, and determine the distribution of micro-region properties based on the property information at the perpendicular intersections. This reduces the number of steps required for micro-region scanning, shortens the scanning time, and reduces the number of sampling operations.

This invention relates to the field of microscopy application technology, and in particular to a SICM scanning control method and related device based on feedback quantization. The method acquires the test height, initial scanning speed, initial safe height of the test point, first speed adjustment start point, and second speed adjustment start point of the test point. It controls the scanning probe to descend from the initial safe height of the test point to the first speed adjustment start point at the initial scanning speed, intervenes with first dynamic speed adjustment, continues to descend to the second speed adjustment start point, intervenes with second dynamic speed adjustment, and continues descending until the probe detects a sudden change in ion current and stops descending. This control method solves the problems of low scanning time resolution and poor safety in existing scanning ion conductivity microscopes by setting an initial speed adjustment point that dynamically adjusts the speed according to the probe's descent position.

The invention discloses an intelligent control method and system for magnetic resonance imaging equipment, and relates to the technical field of magnetic resonance imaging control, and the system reduces the demand of manual intervention through a whole-course automatic parameter adjustment and quality evaluation mechanism. Therefore, the efficiency of the scanning process is improved, and the system can be ensured to automatically optimize the acquisition parameters Po, including the scanning time To, the resolution Ro and the signal intensity So, according to actual conditions under different patients and scanning conditions, so that the image quality and the diagnosis accuracy are improved. The automatic process enables the operation to be simpler and more convenient, and human errors are also reduced. The traditional image quality standard is concerned, and the quality evaluation is carried out through the noise level Nr and the definition Cr to ensure that the image quality is more comprehensive and meticulous; the system combines a feedback mechanism and a continuous optimization module, continuously obtains image quality evaluation results and feeds back and adjusts acquisition parameters, and gradually optimizes a scanning process.

The application relates to a magnetic resonance imaging method, device, computer equipment, storage medium and computer program product. The method comprises the following steps: in a first cardiac cycle, a characteristic electrocardio signal of a detection object is identified, a first sequence pulse is applied to the detection object after a preset delay time of identifying the characteristic electrocardio signal, and the first sequence pulse is used for reversing a longitudinal magnetization vector of the detection object; after the first sequence pulse is applied, a second sequence pulse of a target phase mode is applied to the detection object after a recovery time, and an initial cardiac imaging set is acquired, wherein the target phase mode is one of at least two different phase modes, and different target phase modes correspond to different positions of artifacts in the initial cardiac imaging sets; and the initial cardiac imaging sets obtained in each first cardiac cycle are subjected to first registration processing to obtain a cardiac imaging. The method can effectively weaken the artifacts in cardiac delayed enhancement imaging, and does not increase additional operations and additional scanning time.

The application discloses a signal scanning method and device, electronic equipment and storage medium. The frequency point information of all to-be-scanned frequency points is acquired; the frequency point scanning frequency of the to-be-scanned frequency points and the to-be-scanned frequency point cycle sequence are determined according to the frequency point information; the to-be-scanned frequency point cycle sequence is grouped according to the frequency point scanning frequency, at least one to-be-scanned frequency point grouping sequence is obtained, when there are multiple to-be-scanned frequency point grouping sequences, the frequency points contained in all to-be-scanned frequency point grouping sequences are not completely the same; all to-be-scanned frequency point grouping sequences are scanned in turn, and the scanning is stopped when a target signal is scanned, the problems that the scanning time is long, important services are easily missed, and voice is late to access in the prior signal scanning mode based on random arrangement scanning are solved, the signal scanning time is reduced, the signal scanning efficiency is improved, the probability of service loss and voice late access is reduced, and the user experience is improved.

The invention provides a laser annealing method. Specifically, a second track (stepping track) between adjacent first tracks (adjacent scanning tracks) can be optimized into at least one curve track, and the second track is tangent to the adjacent first tracks, so that the stepping track of the adjacent scanning tracks is optimized into an arc track tangent to the stepping track, and the scanning track is optimized into at least one curve track. According to the invention, the laser can continuously emit light in the step scanning process, the annealing uniformity of the wafer is improved, the scanning time required by the step scanning track is reduced, the total annealing time of the wafer is further reduced, and the yield of the wafer is improved.

An exemplary AI system and method are disclosed for reconstructing high-fidelity motion-corrected MRI scans from low-field, motion-corrupted MRI scans (e.g., neonatal MRI data) using a neural network (NN) model in combination with a physics-based motion model. The exemplary AI system and method can enhance image quality and remove motion artifacts which can allow for scans to be performed with significantly reduced scan time, a particular benefit for neonatal subjects as well as all patients when employing low-field MRI.

The present invention discloses a method for fast near-field scanning of radiation sources by active learning. First, the radiation field values of randomly scanned points are obtained, and then the radiation field values of the remaining scanned points are interpolated by various interpolation methods. The scanned point with the largest variance is selected, and the robotic arm is used to move the probe to obtain the radiation field value corresponding to this scanned point. By iterating the above steps multiple times, multiple scanned points can be obtained, quickly, accurately and effectively meeting the requirements of the user. The method of the present invention is simple to operate, has good real-time performance, high scanning efficiency and good robustness, and has obvious advantages in saving the number of scanned points and scanning time.

The invention relates to a refracted wave speed pickup method, system and device and a storage medium, and the method comprises the steps: obtaining a seismic exploration single shot record, taking the time of a recording channel at a shot point as a reference, and setting a time and speed scanning interval and a scanning interval; introducing a time-channel two-dimensional window, and carrying out time and speed nested circulation; and providing a time-channel two-dimensional window correlation analysis technology, and performing time-channel two-dimensional window correlation analysis on each group of scanning time and scanning speed to obtain a corresponding optimized superposition amplitude. Then, a velocity spectrum is calculated and drawn, the maximum value of the velocity spectrum is read in combination with a seismic wave single shot record, and the scanning speed corresponding to the maximum value is the refracted wave speed of the corresponding refracted wave; according to the method, the refracted wave speed is determined by using the optimized superposition amplitude calculated by using the window correlation analysis technology, and the method has the characteristics of high analysis precision and strong anti-interference capability. The method not only can pick up the initial value refracted wave speed, but also can extract the continuous refracted wave speed, and powerfully supports the application of a refracted wave method in seismic exploration.

The application relates to an image generation method, device and equipment and a storage medium. The application comprises the following steps: obtaining a tissue-to-blood concentration ratio corresponding to each scanning time within a first scanning time length; and generating a target tissue uptake rate image of a scanning object according to the tissue-to-blood concentration ratio and a preset mapping relationship. Since the mapping relationship represents the relationship among the scanning time, a blood activity value corresponding to the scanning time and an accumulated blood activity value corresponding to the scanning time, the accumulated blood activity value within a scanning time period corresponding to the scanning time is obtained based on the mapping relationship, so that the target tissue uptake rate image is obtained based on the accumulated blood activity value, the blood activity value and the tissue-to-blood concentration ratio, and long-time continuous scanning of the scanning object is not required.

The invention provides a device and a method for acquiring a simulated load MR scanning ankle three-dimensional fusion model. The device comprises a nuclear magnetic resonance spectrometer, a wearable device, a fixing device and image processing equipment, the wearable device is fixed on the upper body of a to-be-tested user, and the ankle fixing device is fixed on the ankle of the to-be-tested user and is connected with the simulated load through the connecting rope and the wearable device; the nuclear magnetic resonance spectrometer is arranged above the ankle of the user to be detected, the axial line of the inspection positioning lamp is aligned with the axial midpoint of the ankle fixing device, and a magnetic resonance image is obtained through scanning of the nuclear magnetic resonance spectrometer; and the image processing equipment is in communication connection with the nuclear magnetic resonance spectrometer, acquires a magnetic resonance image and generates an ankle three-dimensional fusion model. According to the invention, through the small-angle pulse, the FFE sequence and the undersampling technology, the scanning time is shortened and the submillimeter reconstruction precision is ensured at the same time. Through combination of a water-fat separation technology and multi-algorithm optimization, automatic and accurate segmentation of bones and skin is realized, and the three-dimensional model meets the requirements of clinical diagnosis and finite element analysis.

To suppress the occurrence of smear in recording.SOLUTION: A time required for print scanning is estimated from the width of image data and information on a printing method, and a delay time is set based on the estimated print scanning time.SELECTED DRAWING: Figure 7

This invention discloses a text layout image recognition system for published and printed textbooks, relating to the fields of artificial intelligence and computer vision. It includes a data acquisition synchronization module, an illumination feature analysis module, a brightness anomaly detection module, a paragraph reconstruction and repair module, and a light source dynamic compensation module. The data acquisition synchronization module acquires light source current waveforms, scanning light intensity changes, page line spacing markers, and imaging clock information during the text layout image recognition process, generating a draft containing a complete scanning time sequence. This invention achieves precise correspondence between light source brightness and scanning time sequence through synchronous acquisition of illumination and current, and illumination feature analysis, eliminating the influence of illumination fluctuations and improving the stability of layout recognition. Combining paragraph reconstruction and repair with dynamic light source compensation, a closed-loop control system from illumination detection to page reconstruction is constructed. Illumination balance is optimized through reverse illumination compensation and shading control, ensuring accurate line spacing, continuous layout, and consistent content logic.

The invention provides an L-shaped probe SPECT device and a motion control method thereof. The L-shaped probe SPECT device comprises a first detector, a second detector and a structure base, the first detector and the second detector are L-shaped probe groups; the structure base can rotate; and the first detector and the second detector are jointly mounted on the structural base. According to the L-shaped probe SPECT device and the motion control method, the whole body scanning efficiency can be remarkably improved, and compared with a traditional double-probe system, the scanning time can be shortened by 50%; through synchronous rotation of the L-shaped probe and ellipse adaptive scanning, the photon collection efficiency is improved, and the motion artifact risk caused by abnormal movement of a patient after long-time scanning is reduced; meanwhile, the transverse moving range of the L-shaped probe is increased, the L-shaped probe can adapt to the contours of patients with different body types, and the problem that after a large probe approaches, a small probe cannot approach the human body due to interference is solved.

The invention discloses a distributed line laser sensor scanning method for irregular large workpiece defects, and belongs to the field of line laser sensor scanning methods. In a traditional large workpiece detection method, a laser scanning beam of each line laser sensor can influence cameras of other adjacent line laser sensors, so that images collected by the cameras are distorted. A distributed line laser sensor scanning method for irregular large workpiece defects comprises the following steps: designing a cuboid, and completely covering the to-be-detected surface of an irregular large workpiece and the projection of the irregular large workpiece on the horizontal ground; constructing a three-dimensional coordinate system on a projection plane of the irregular large workpiece on a horizontal plane, and determining a formula expression mode of a new coordinate of the line laser sensor; re-determining the coordinates of each line laser sensor in the three-dimensional coordinate system, and distributing the coordinates into a step shape; a line laser sensor set is used for scanning from the head end of the large workpiece. The method reduces the scanning time cost and economic cost of the line laser sensor, and improves the scanning precision.

Embodiments herein relate to passive intermodulation (PIM) delay estimation for multiple sources. In some embodiments, there is proposed a method (1200) for estimating a time delay of a PIM source for a radio device having multiple PIM sources. In an embodiment, the method may comprise the step of determining (S1201) a time delay window with respect to one or more possible PIM sources of the radio device. The method may further comprise the step of determining (S1202) a plurality of time delay values in a time delay window. The method may comprise the steps of: for each of one or more primary functions, scanning (S1205) each of a plurality of time delay values in a time delay window by performing an adaptive algorithm based on the primary functions to obtain an adaptive set of parameters, and estimating (S1208) one or more time delays for each PIM source from the set of adaptive parameters. Through the embodiments herein, an adaptive scan delay estimation method is proposed in place of a correlation estimation method, which can improve delay estimation accuracy for multiple PIM sources.

The present invention discloses a linear array scanning Brillouin scattering elastic imaging device. In the device, a signal generating system comprises a narrow linewidth continuous laser, a half-wave plate, a beam expander, a Y-direction scanning galvanometer, a microlens array, a pinhole array filter, a first plano-convex lens, a polarization beam splitter, a quarter-wave plate, and a microscope objective lens; the signal receiving system comprises a microscope objective lens, a quarter-wave plate, a polarization beam splitter, and an eight-channel fiber collimator array; each channel of an eight-channel spectrometer comprises a fiber collimator, a convex lens, a scanning Fabry-Perot interferometer, a photomultiplier tube, and an eight-channel photon acquisition card; the present invention adopts a scanning Fabry-Perot interferometer spectrometer to simultaneously resolve Brillouin scattering signals at eight different positions generated by the microarray lens, thereby being able to achieve rapid and high-resolution detection of the elastic modulus of the sample's X-Y plane by controlling the scanning time of the Y-direction scanning galvanometer and the acquisition time of the eight-channel photon acquisition card.