28 results about "Parallel imaging" patented technology

The invention discloses a parallel imaging OCT (Optical Coherence Tomography) system based on a metasurface area array, which relates to the technical field of medical instruments, is small in size and can realize intraocular single-shot area array imaging and a three-dimensional position depth perception function by using metasurface and optical coherence tomography imaging information in a sample tissue with a limited size. According to the technical scheme, a light beam emitted by a laser is divided into two paths through a beam splitter, and the two paths enter a sample arm module and a reference arm module respectively; the sample arm module is a probe and comprises a multi-core optical fiber and a first metasurface; the reference arm module comprises a collimator, a motor and a right-angle reflector; the probe enters a sample tissue, a light beam is focused on the sample tissue and then is backscattered, the backscattered light beam reversely passes through the first metasurface, the multi-core optical fiber, the beam splitter, the second metasurface, the third lens, the grating and the focusing lens and then forms a spectral line beam on the CCD sensor, and the computer reads a signal from the CCD sensor and performs three-dimensional reconstruction imaging on the sample tissue.

Techniques for performing magnetic resonance imaging are provided, which include applying at least two different pulse sequences designed for simultaneous excitation of at least two slices, and measuring k-space lines of the slices with a Parallel Imaging Results in Higher Acceleration (CAIPIRINHA) sampling scheme. Each pulse sequence comprises multiple different phase patterns, each phase pattern is used for exciting one of the slices, and the phase patterns of different pulse sequences are arranged relative to each other according to a Hadamard encoding. Images are reconstructed from the measured k-space lines by forming image slices based on different linear combinations of corresponding slices acquired with different pulse sequences.

The invention provides an encodable liquid crystal image processor, a preparation method and a broadband parallel imaging device. The encodable liquid crystal image processor comprises a first substrate, a second substrate and a cholesteric liquid crystal layer which are oppositely arranged, one side of the first substrate is provided with a first orientation layer, and one side of the second substrate is provided with a second orientation layer; the first orientation layer and the second orientation layer comprise control patterns, and the control patterns enable liquid crystal directors to meet orientation angle distribution so as to guide liquid crystal distribution in the cholesteric liquid crystal layer; in a wave band covered by a chiral photonic band gap of the cholesteric liquid crystal layer, space parallel image processing with multiple functions is realized at the same time. According to the invention, a multi-task image processing function, such as edge detection and corner detection, is integrated on a single element, and spatial parallel output is realized in a visible light wave band by utilizing the broadband geometric phase modulation characteristic of cholesteric liquid crystal, so that the limitations of single function and narrow bandwidth of an existing image processing device are effectively improved.

The invention relates to the technical field of display screen detection, in particular to a multi-spectral imaging-based display screen pixel-level defect dynamic detection method, which comprises the following steps of: acquiring high-resolution images of a plurality of fixed wavebands during dynamic display of a display screen by adopting a multi-waveband parallel imaging mode; filtering edge tracking and fuzzy region interpolation compensation are carried out, dynamic threshold updating is adopted, and a single physical pixel is segmented in a dynamic scene; extracting three types of multi-dimensional features of multi-band light intensity, band association and space-time dynamic of pixels, identifying and classifying pixel-level defects of the display screen by adopting multi-band cross validation, and outputting identification and classification data; through the above mode, the dynamic adaptation and segmentation precision is improved, and the large-scale production quality management and control requirements of high-resolution and high-refresh-rate display screens are met.

The application discloses a GPU-based sub-image backward projection parallel imaging method, comprising the following steps: adaptive block processing of space-borne synthetic aperture radar echo data; GPU parallel backward projection processing; backward projection calculation and asynchronous transmission processing of data blocks; and sub-image generation. The method has the advantages of high practicability, can be used for high-orbit and high-resolution space-borne synthetic aperture radar imaging, and overcomes the defects of high calculation complexity of the traditional synthetic aperture radar backward projection algorithm and long processing time, so that the method has a wide market application prospect.

The application discloses a method and a model construction method for coil decoupling based on butterfly coil current mode, which comprises the following steps: setting two butterfly coils as an initial overlapping state in which the middle conductors are collinear and partially coincide in the collinear direction; adjusting the relative spatial pose of the two coils and monitoring the resonant frequency of the coupling part in real time; when the common-mode resonant frequency and the differential-mode resonant frequency in the resonant frequency tend to be consistent, the current pose is determined as the target decoupling pose. The coupling problem of the butterfly coil array is solved, and no additional decoupling circuit is needed. Efficient decoupling can be realized only by pure structural adjustment, the channel isolation and parallel imaging performance are significantly improved while the near-field advantage of the butterfly coil is maintained.

This invention relates to the field of display screen inspection technology, specifically to a dynamic detection method for pixel-level defects in display screens based on multispectral imaging. The method includes the following steps: employing multi-band parallel imaging to acquire high-resolution images of multiple fixed bands during dynamic display; performing filtered edge tracking and blurred region interpolation compensation, and using dynamic threshold updates to segment individual physical pixels in dynamic scenes; extracting three multi-dimensional features of pixels—multi-band light intensity, band correlation, and spatiotemporal dynamics—and using multi-band cross-validation to identify and classify pixel-level defects in the display screen, outputting the identification and classification data; through the above methods, dynamic adaptation and segmentation accuracy are improved, meeting the quality control requirements of large-scale production of high-resolution, high-refresh-rate display screens.

The invention relates to a system and a method for K-space neutron space parallel imaging. A computer-implemented method includes obtaining, via a processing system including one or more processors, multichannel k-space data of a subject acquired with a magnetic resonance imaging scanner. The computer-implemented method further includes combining, via the processing system, information from locally adjacent k-space locations and across a plurality of channels using a subspace convolution kernel on the multi-channel k-space data to generate subspace compressed k-space data, the subspace compressed k-space data has fewer channels than the number of channels used to collect the multi-channel k-space data.

This invention discloses a three-dimensional electrical resistivity tomography (EDT) method for detecting cavities based on T-shaped electrode survey lines. A two-dimensional T-shaped electrode survey line advance detection observation system is constructed by deploying two mutually perpendicular survey lines (line 1 and line 2) behind the tunnel face. Electrode electrical resistivity data are collected for both vertical and parallel tunnels, and resistivity depth imaging maps are then established for each. The vertical imaging map determines whether the cavity is located to the left or right of the tunnel face, while the parallel imaging map determines whether it is located in front of or behind the tunnel face. This achieves preliminary two-dimensional planar positioning of the cavity. The detection space around the tunnel face is divided into target units, and through resistivity forward modeling and correlation calculation, correlation imaging results of each target unit are obtained. Ranges exceeding a threshold are delineated in the map, and combined with the preliminary positioning, the three-dimensional spatial location of the cavity is accurately determined, ensuring safe tunnel excavation.

The invention discloses a butterfly coil current mode-based coil decoupling method and a butterfly coil current mode-based model construction method. The butterfly coil current mode-based coil decoupling method comprises the following steps of: setting two butterfly coils to be in an initial overlapping state that middle conductors are collinear and partially overlapped in a collinear direction; the relative spatial poses of the two coils are adjusted, and the resonant frequency of the coupling part of the two coils is monitored in real time; and when it is monitored that the common-mode resonant frequency and the differential-mode resonant frequency in the resonant frequencies tend to be consistent, determining the current pose as a target decoupling pose. The coupling problem of the butterfly coil array is solved, an additional decoupling circuit is not needed, efficient decoupling can be achieved only through pure structure adjustment, and the channel isolation and parallel imaging performance are remarkably improved while the near-field advantage of the butterfly coil is kept.

The invention relates to a computer-implemented method for determining a magnetic resonance image dataset from a measurement dataset of magnetic resonance imaging, in which the measurement dataset, in particular an undersampled measurement dataset, is acquired by parallel imaging using a receiving coil arrangement (11) having a plurality of receiving channels in an acquisition geometry, the determination of the magnetic resonance image dataset comprises a reconstruction process (1) using at least one trained image processing function, the reconstruction process comprising a data consistency step for increasing the consistency of the resulting image with the measurement dataset as a function of the regularization value, wherein the noise reduction intensity of the reconstruction process (1) is modified in a position-dependent manner in the data consistency step, the modification being carried out as a function of modification variables which locally describe the expected noise reduction intensity of the unmodified reconstruction process as a result of the acquisition geometry.

A three-dimensional (3D) printing system includes a build vessel, a build plate, a horizontal movement mechanism, a light engine, and a controller. The build vessel includes a windowed portion defining a plurality of N openings. The plurality of N openings individually have a major axis along a lateral Y-axis and are spatially separated and arranged along a lateral X-axis. The build vessel includes a transparent sheet that closes the plurality of N openings. The build plate has having a lower surface overlaying and in facing relation with the N openings. The horizontal movement mechanism is configured to impart a change in relative positioning between the windowed portion of the build vessel and the build plate along the lateral X-axis. The light engine is positioned below the build vessel and configured to project pixelated light up through the openings to a build plane above the transparent sheet.

The application relates to the technical field of fast near-field imaging, in particular to a quadrilateral MIMO array fast near-field imaging method based on a GPU, which comprises the following steps: a host end issues control instructions and parameters to a high-speed signal processing board carrying an FPGA, an FPGA drives a frequency synthesizer module to generate a local oscillation signal and distributes the local oscillation signal to a quadrilateral MIMO array; the FPGA controls T / R radio frequency front-end devices, sequentially completes scanning operation of multichannel transmission and reception in a time division multiplexing mode, an ADC samples and converts collected echo signals into digital signals, and then the digital signals are transmitted to a GPU; a parallel imaging architecture is constructed in the GPU, and the whole imaging task is decomposed into several independent sub-imaging tasks; after the current sub-imaging task is completed, the current sub-image is superimposed with the last sub-image, until all the sub-imaging tasks are completed, three-dimensional imaging results of the whole imaging area are obtained, and the three-dimensional imaging results are returned to the host end for display.

A computer-implemented method includes obtaining, via a processing system including one or more processors, multi-channel k-space data of a subject acquired with a magnetic resonance imaging scanner. The computer-implemented method also includes utilizing, via the processing system, subspace convolutional kernels on the multi-channel k-space data to combine information from local neighboring k-space locations and across multiple channels to generate subspace compressed k-space data having fewer channels than a number of channels utilized to acquire the multi-channel k-space data.

A method can include receiving, by at least one processor, a magnetic resonance dataset comprising at least one scan. The method can include performing, by the at least one processor, golden-angle radial sparse parallel imaging on the magnetic resonance dataset to output one or more images. The method can include identifying, by the at least one processor, at least one region of interest in the one or more images, the at least one region of interest corresponding to at least one of tumor progression or radiation effects.

The invention discloses a laminated iron surface defect detection method and device based on polarization-hyperspectral combined imaging, and the method comprises the steps: firstly, designing an illumination module employing a 30-degree incident angle, and avoiding overexposure and energy consumption of conventional diffuse reflection illumination; secondly, according to the characteristics of surface imaging of the laminated steel, a 0-degree mirror surface + 60-degree scattering double-channel parallel imaging framework is designed, and spectral information of the surface of the laminated steel can be fully obtained. And meanwhile, a neural network algorithm fusing a dynamic wave band selection module, an inverted residual three-dimensional convolutional neural network and an SE weighted fusion module is designed, so that high-speed and low-energy-consumption accurate detection of the surface defects of the laminated steel is realized, and the method has wide application market space and economic value.

The invention relates to the technical field of radar, and provides an FPGA-based pulse-space segmentation parallel BP algorithm acceleration system, which is realized based on a full-pipeline FPGA parallel BP imaging architecture, and comprises a communication module, a scene partitioning module, a pulse-space segmentation module and a BP algorithm full-pipeline processing module. The communication module is used for transmitting radar original data corresponding to a target scene to the FPGA onboard DDR3 memory from an upper computer through a PCIE interface in a zero-copy manner; the scene partitioning module is used for decomposing a target scene into a plurality of sub-blocks; the pulse-space segmentation module is used for decoupling the imaging pulse and sub-blocks decomposed from a target scene into a plurality of parallel calculation units; the BP algorithm full-pipeline processing module is used for realizing full-pipeline processing of a BP algorithm between pulses for each calculation unit in parallel; and the communication module is also used for carrying out data fusion on the BP imaging results of all the sub-blocks to obtain a BP imaging result of the target scene and uploading the BP imaging result to an upper computer.

A method using one or more processors includes receiving a signal associated with a first value including a first portion of magnetic resonance imaging (MRI) data during an MRI scan. The method also includes generating, using at least one model and the signal, an image including a second portion of the MRI data. The method includes generating a map and determining at least one uncertainty value based at least partially on the map. The method includes comparing the at least one uncertainty value to a threshold and adjusting the first value to a second value responsive to the at least one uncertainty value being above the threshold. The method includes resuming the MRI scan at the second value or resuming the MRI scan at the first value responsive to the at least one uncertainty value being at or below the threshold.

A joint k-space and image-space reconstruction imaging method and a device, relating to the field of magnetic resonance imaging. The method comprises: first, using the k-space parallel imaging method to reconstruct under-sampled image frames having auto-calibration signals of a subject obtained from multi-frame imaging required for the measurement of magnetic resonance parameters; and then performing reconstruction in image space for other under-sampled image frame data without auto-calibration signals. In the method, an accurate sensitivity map required for the SENSE method is generated from under-sampled data, without the need of additional acquisition. By means of the present method, images that are almost identical to those obtained by the traditional GRAPPA method and without obvious artifacts can be obtained at a speed which is four times faster than that by the traditional GRAPPA method. The present method is especially suitable for accelerating three-dimensional (3D) multi-frame magnetic resonance imaging.

A method for magnetic resonance imaging (MRI) includes: performing with an MRI scanner, an MRI data acquisition to acquire MRI data including calibration data for kernel training and regular EPI data in single polarity; performing preprocessing of the MRI data including performing readout interpolation to Cartesian grids and first-order gradient delay correction; performing a generalized multi-kernel GRAPPA using network-based kernels trained from the calibration data to correct spatial-varying field imperfections; applying the network-based kernels to the regular EPI data to obtain clean data; and reconstructing corrected single-polarity EPI data to obtain clean images using a parallel imaging reconstruction algorithm.

The present disclosure provides various systems and methods for magnetic resonance imaging. In one aspect, a method for magnetic resonance imaging can include receiving k-space data sets acquired by radiofrequency (RF) coils. Each of the k-space data sets can correspond to a different one of the RF coils. Each of the k-space data sets can be truncated and / or under sampled. The method can further include generating partial images of a field of view based on the k-space data sets and generating an initial image based on the partial images. The initial image can be full image of the field of view. The method can further include applying an iterative image reconstruction technique to generate an updated image based on the initial image.

The invention discloses a double-layer magnetic resonance radio frequency receiving coil array, and belongs to the technical field of magnetic resonance imaging. According to the coil array, the problem of signal attenuation caused by the fact that an existing single-layer receiving coil cannot be tightly attached to the human body is solved, and potential safety hazards caused by the fact that a wireless coil is inserted into the single-layer receiving coil are avoided. An inner-layer coil and outer-layer coil structure is adopted, the inner-layer coil can be tightly attached to subjects of different body types so as to directly receive signals, and the outer-layer coil efficiently receives signals from the inner layer through inductive coupling. According to the design, the safety in the radio frequency emission period is ensured through a detuning protection mechanism, and efficient transmission of magnetic resonance signals is achieved by optimizing the distance and the coupling state between the inner layer coil and the outer layer coil. By applying the coil array, the image signal-to-noise ratio and the image signal-to-noise ratio after parallel imaging acceleration can be remarkably improved under the condition that the number of receiving channels is the same or smaller, particularly, the imaging effect of a small-size subject is remarkably improved, and meanwhile good compatibility with an existing magnetic resonance system is kept.

This application provides an image-guided high-throughput parallel imaging illumination system and method, mainly relating to the field of microscopic imaging technology. The method includes: in response to moving the i-th part of a sample to the imaging field of view of the objective lens, acquiring an image of the i-th part of the sample to obtain a target sample image; during the process of moving the sample to move the i-th part of the sample to the illumination field of view of the objective lens, performing image recognition on a region of interest included in the target sample image to obtain the position coordinates of the region of interest; and in response to moving the i-th part of the sample to the illumination field of view of the objective lens, illuminating the region of interest according to its position coordinates to complete the processing of the i-th part of the sample.

A computer-implemented method is provided for determining a magnetic resonance image data set from a measurement data set of magnetic resonance imaging. The measurement data set is recorded with parallel imaging using a receiving coil arrangement having a plurality of receiving channels in a recording geometry. The determination of the magnetic resonance image data set includes a reconstruction process using at least one trained image processing function, wherein the reconstruction process includes a data consistency act for improving the correspondence of a result image with the measurement data set in dependence upon a regularization value. The intensity of the noise reduction of the reconstruction process is modified in dependence upon location in the data consistency act, wherein the modification is performed in dependence upon a modification variable that locally describes the expected noise reduction intensity of the unmodified reconstruction process on the basis of the recording geometry.

According to the spectral imaging system provided by the invention, a mechanical scanning module in a traditional spectral imaging system is replaced by the beam splitting design of the superlens, a plurality of independent sub-optical paths can be formed at a time without point-by-point / line-by-line scanning or relative movement, and multichannel synchronous beam splitting and parallel imaging are realized; each independent sub-optical path is correspondingly provided with an exclusive optical filter, and spectral filtering can be performed in a targeted manner to form an independent spectral channel; due to the design that the light-sensitive surfaces of the detectors are coplanar and the image surfaces of the detectors are conjugated, the spatial position matching performance and the imaging quality consistency of images formed by all channels are ensured, and the problems of image surface offset, imaging dislocation and the like possibly caused by multi-light-path separation are solved. The problem that a spectral imaging system cannot give consideration to channel richness and accuracy of spectral detection at the same time is solved.

The invention discloses a two-for-one twister yarn quality online detection system and method based on machine vision, and relates to the technical field of textile monitoring machinery, and the system comprises a light field acquisition unit, a geometric reconstruction unit and a vector filtering unit. The light field acquisition unit captures a trapezoidal image sequence covering a yarn ballooning motion range by using a non-parallel imaging light field meeting the Gremer's law; the geometric reconstruction unit maps the trapezoidal image sequence into an orthogonal image sequence with a unified spatial resolution coefficient through an inverse homography matrix; the vector filtering unit calculates the probability of flaws based on the motion vector field using a multiplicative probability model including a reference velocity and a directional deviation angle. The problems of imaging defocus and environment flying interference caused by balloon swing in the production of high count yarns of the two-for-one twister are solved, and online closed-loop monitoring of the yarn quality is realized.

The present disclosure provides various systems and methods for magnetic resonance imaging. In one aspect, a method for magnetic resonance imaging can include receiving k-space datasets acquired by radio frequency (RF) coils. Each of the k-space datasets can correspond to a different one of the RF coils. Each of the k-space datasets can be truncated and / or undersampled. The method can further include generating a partial image of a field of view based on the k-space datasets and generating an initial image based on the partial image. The initial image can be a full image of the field of view. The method can further include applying an iterative image reconstruction technique to generate an updated image based on the initial image.

The invention relates to a computer-implemented method for determining a magnetic resonance image dataset from a measurement dataset of magnetic resonance imaging, wherein the measurement dataset, in particular undersampled, is acquired using parallel imaging with a receiver coil arrangement (11) with multiple receiver channels in an acquisition geometry, and the determination of the magnetic resonance image dataset comprises a reconstruction process (1) using at least one trained image processing function, wherein the reconstruction process includes a data consistency step to improve the agreement of a result image with the measurement dataset depending on a regularization value, wherein the strength of the noise reduction of the reconstruction process (1) in the data consistency step is modified spatially.where the modification depends on a modification parameter that locally describes the expected noise reduction strength of the unmodified reconstruction process due to the recording geometry.