296 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.

A system and method for reducing scan time of periodically rotated overlapping parallel lines with enhanced reconstruction (PROPELLER) imaging include acquiring a plurality of blades of k-space data of a region of interest in a rotational manner around a center of k-space via a magnetic resonance imaging (MRI) scanner during a PROPELLER sequence, wherein each blade of the plurality of blades of k-space data includes a plurality of parallel phase encoding lines sampled in a phase encoding order. Each blade of the plurality of blades of k-space data is undersampled. The system and method include utilizing a deep learning-based Cartesian-like reconstruction network to individually and separately reconstruct each blade of the plurality of blades of k-space data to generate a plurality of fully sampled blades. The system and method include utilizing a PROPELLER reconstruction algorithm to generate a complex image from the plurality of fully sampled blades.

The invention provides a fast magnetic resonance reconstruction method and system based on a multistage wavelet convolution network, and particularly relates to the technical field of magnetic resonance imaging and image reconstruction, and the scheme comprises the steps: collecting multi-channel under-sampling K space data; inverse Fourier transform is carried out on the multi-channel under-sampling K space data to obtain an under-sampling magnetic resonance image; and inputting the undersampled magnetic resonance image into a trained multi-stage wavelet convolutional network for reconstruction to obtain a reconstructed magnetic resonance image, the multi-stage wavelet convolutional network being constructed based on multi-stage wavelet transform and a convolutional neural network. According to the scheme, the magnetic resonance K space data is collected in an undersampling mode, the scanning time can be shortened, the multi-stage wavelet convolution network can effectively reserve high-frequency details of the image in the reconstruction process, and therefore the reconstruction quality and efficiency of the multi-channel magnetic resonance image can be remarkably improved on the whole.

Improved gas sample preprocessing is provided for scanning optical spectroscopic analysis instruments by tailoring characteristic gas handling times to the scan time Ts of the analysis instrument. In particular, for sample preconcentration, the desorption duration Td of the sample preconcentrator should be ≥2Ts. For gas chromatography, the elution duration Te of relevant eluted species should be ≥2Ts. This advantageously avoids having significant changes in the gas sample within the analysis instrument as a scan is being performed.

The invention relates to the technical field of magnetic resonance imaging, and discloses a motion estimation guided magnetic resonance four-dimensional dynamic imaging method and device, and the method comprises the steps: obtaining a three-dimensional single-frame static image of magnetic resonance and an under-acquired low-resolution four-dimensional dynamic image sequence, the low-resolution four-dimensional dynamic image sequence is a multi-frame low-resolution four-dimensional dynamic image obtained by carrying out undersampling on K space acquisition data; utilizing a motion encoder in the image sequence prediction model to extract motion estimation information in the low-resolution four-dimensional dynamic image sequence; inputting the three-dimensional single-frame static image into a structure encoder in the image sequence prediction model to obtain static anatomical structure information; and fusing and decoding the motion estimation information and the anatomical structure information through a decoder to obtain a high-resolution four-dimensional dynamic image sequence. The problems that an existing magnetic resonance four-dimensional imaging technology is long in scanning time, complex organ movement is difficult to capture, and time-space consistency is poor are solved.

A system and a method for PET imaging may be provided. Scan data of an object collected by a PET scan over a scan time period may be obtained. A plurality of target sets of scan data may be determined from the scan data based on a preset condition. Each of the plurality of target sets of scan data may correspond to a target sub-time period in the scan time period. One or more intermediate images corresponding to one or more sub-time periods different from the plurality of target sub-time periods in the scan time period may be generated based on the plurality of target sets of scan data. A target image sequence of the object may be generated based on the plurality of target sets of scan data and the one or more intermediate images.

The invention discloses a magnetic resonance image positioning diagnosis method based on artificial intelligence, and relates to the technical field of medical image processing and diagnosis. S100, data acquisition and preprocessing, S200, model construction, S300, strategy learning and optimization, S400, personalized scanning path generation, and S500, real-time feedback and adjusting.According to the method, the lesion area of a patient is accurately covered, and scanning of the non-lesion area is reduced, so that the imaging efficiency is improved, the scanning time is shortened, and the imaging accuracy is improved. The imaging quality of a lesion area is remarkably improved, so that the diagnosis accuracy is improved, a traditional magnetic resonance scanning path often adopts a unified standard, individual requirements of different patients are difficult to meet, unclear imaging or omission of the lesion area is easily caused, and the diagnosis result is affected. According to the method, through personalized scanning path design, the defect is overcome, and a more accurate and reliable diagnosis basis is provided for doctors.

Improved gas sample preprocessing is provided for scanning optical spectroscopic analysis instruments by tailoring characteristic gas handling times to the scan time Ts of the analysis instrument. In particular, for sample preconcentration, the desorption duration Td of the sample preconcentrator should be ≥2Ts. For gas chromatography, the elution duration Te of relevant eluted species should be ≥2Ts. This advantageously avoids having significant changes in the gas sample within the analysis instrument as a scan is being performed.

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 optical sorting machine comprises: a light source; a color sensor; a determination unit for foreign matter and / or defective products; a color deviation amount calculation unit, which calculates, for a color image obtained by the color sensor, the amount of color deviation caused by the separation of at least two element groups among the R element group, the G element group and the B element group in the transfer direction of the sorting object; a speed calculation unit, which calculates the transfer speed of the sorting object based on the separation distance of at least two element groups in the transfer direction, the color deviation amount, and the scanning time which is the time required for one scan of the color sensor; and a sorting device, which performs a track changing action at a time point determined based on the transfer speed calculated by the speed calculation unit, and the track changing action is used to change the track of a specific sorting object determined based on the determination result of the determination unit.

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 relates to the technical field of radiation imaging, in particular to a coded hole XRD (X-Ray Diffraction) imaging system and method based on a distributed ray source, and the system comprises the distributed ray source which is provided with a plurality of focuses and is used for transmitting multiple beams of multi-energy X-rays; the front collimator is used for shaping each multi-energy X-ray beam into a fan-beam multi-energy X-ray beam and ensuring that the fan-beam multi-energy X-ray beam completely covers an area to be reconstructed of a scanned object so as to generate a diffraction signal; the transmission detector is used for performing attenuation correction on the diffraction signal; the coding plate is used for coding diffraction signals generated by the object; the pixelated spectrometer is used for measuring the coded diffraction signals so as to form diffraction data; and the image reconstruction module is used for carrying out iterative optimization on the target function by utilizing the diffraction data to obtain a reconstructed image. Therefore, the problems that an existing snapshot type coding hole imaging system is poor in data condition and difficult to solve, and an existing rotary scanning coding hole imaging system is high in complexity, long in scanning time and the like are solved.

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.

To provide a method for operating a liquid helium cooling system of a magnetic resonance imaging system.SOLUTION: A method for operating a liquid helium cooling system of a magnetic resonance imaging system, comprises the following steps:(a) providing a first timetable including scan times and a second timetable including a plurality of time slots (8) associated with one of at least two different levels of electrical power availability; (b) determining off-times when the system is not used for scanning based on the first timetable; (c) based on the second timetable, determining at least one time slot (8 and 81) within the off-times that is not associated with the level of highest electrical power availability; (d) activating a power-saving mode (4) during the determined at least one time slot (8 and 81); and (e) activating a standard operating mode of liquefying means at the latest at a prescribed time before the beginning of the next scan time.SELECTED DRAWING: Figure 2

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.

The invention discloses a brain function image signal enhancement method based on spatial features, and belongs to the technical field of medical image processing. The method comprises the following steps: dividing data into a plurality of time slices through sliding window segmentation, and extracting spatial features and time features from each slice by adopting singular value decomposition; signal enhancement is carried out on voxel, cluster and feature dimensions, and enhanced space and time features are combined by adopting a weighted average method, so that enhanced fMRI data are generated. According to the method, the spatial features of each time slice are finely processed, so that signals related to neural activity are more accurately improved; signal features of all dimensions are enhanced, a cluster-like enhancement method is introduced, and the stability and reliability of signals are improved while space details are kept. The accuracy and reproducibility of a brain network are improved in resting state data processing; the statistical confidence coefficient of the activation graph is enhanced in task state data processing, the scanning time is shortened on the premise that the graph quality is guaranteed, and the method has wide application prospects.

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.