22results about How to "Fast imaging" patented technology

This invention discloses an online super-resolution imaging method for scanning radar based on the minimization criterion. By establishing an azimuth echo convolution model and discretizing it, the super-resolution problem is transformed. Under a regularization framework, the minimization criterion is used to construct an analytically optimizeable cost function containing sparse prior information, transforming the forward-looking imaging resolution improvement problem into an optimization estimation problem. By dividing the antenna measurement matrix into rows and blocks, matrix operations are degraded into the continuous accumulation of vector operations, enabling real-time online updates of targets in the forward-looking region. Finally, the conjugate gradient method is used to degrade and invert the matrix, outputting the super-resolution result. This method can achieve rapid imaging with limited system memory through an online conjugate gradient super-resolution algorithm based on the minimization criterion. Compared with existing batch processing regularization methods, it eliminates false targets, significantly reduces computational complexity, and is beneficial for rapid imaging of scanning radar.

The present application provides a kind of optical angiography based on optical coherence tomography, first by optical coherence tomography system to biological tissue B scanning and C scanning, obtains three-dimensional structure image.The interference spectrum of each A scanning signal of B scanning is preprocessed, and the interference spectrum is decomposed into N sub-interference spectrum signals, N is greater than or equal to 2.Fourier transform is carried out to the sub-interference spectrum signal, and N groups of structure map data at the same position are obtained.Speckle variance is solved to N groups of structure map data, and speckle variance is averaged in depth direction.Compared with prior art, the present application angiography method does not need to repeat signal acquisition at the same position, greatly improves the acquisition speed of system, and can avoid the interference of traditional optical coherence tomography angiography system on reconstructed image caused by living sample shaking.

The present application belongs to the field of tunnel advanced prediction technology, and discloses a tunnel advanced prediction electromagnetic observation system and a detection method. The observation mode of surface emission, underground reception, multi-source emission and multi-component reception is adopted. In this mode, high-power emission can be conveniently used, the problems of high transportation cost in the tunnel and low signal-to-noise ratio of collected data are improved, the coverage area of observation data can be improved, and more effective information can be obtained. Based on the observation system, a tunnel advanced prediction inversion algorithm based on deep learning is developed, quasi-three-dimensional joint inversion of multi-component, time-domain and frequency-domain signals is realized, the advantages of deep learning algorithm are fully utilized, time-domain and frequency-domain electromagnetic signals are fully utilized, the calculation efficiency and detection precision of inversion are improved, the non-uniqueness in inversion is reduced, and rapid imaging of underground space structure is realized.

This application discloses an illumination rotation module arranged in a structured light super-resolution illumination microscopic imaging optical system. It includes a rotatable galvanometer with two parallel and opposite mirror surfaces arranged relative to a rotation axis intersecting the principal optical axis. M mirror groups, each comprising at least three mirrors, are arranged around the galvanometer. When the galvanometer is at an angular position about the rotation axis, linearly polarized light incident on the illumination rotation module is reflected sequentially through one mirror surface of the galvanometer, each mirror in a mirror group corresponding to the angular position, and the other mirror surface of the galvanometer. This causes the propagation direction and deflection direction of the linearly polarized light to rotate synchronously before exiting the illumination rotation module. This application also discloses a structured light super-resolution illumination microscopic imaging optical system.

The invention discloses a methane telemetering imaging system and method based on an active infrared absorption spectrum and a fast reflector, and the system comprises a main control module, a laser driver, a laser, a detector, an off-axis parabolic reflector, a voice coil fast reflector, and a distance measurement module. The laser driver controls the laser device to emit modulated laser, the voice coil fast reflecting mirror controls the angle of emergent laser, the semiconductor photoelectric detector receives an echo optical signal, converts the echo optical signal into an electric signal and sends the electric signal to the main control module, and the main control module further completes signal analog-to-digital conversion through an analog-to-digital converter. And a digital lock-in amplifier is used to demodulate the signal to respectively obtain a first harmonic and a second harmonic. The method has the advantages of high imaging speed, high spatial resolution, high detection sensitivity and the like.

The invention discloses an XFCT (X-ray fluorescence computed tomography) imaging system based on a Thomson scattering X-ray source, and belongs to the technical field of X-ray imaging, the XFCT imaging system comprises a sample to be detected, an X-ray source module, a sample rotating table, a projection detection module, a sample attenuation detection module and an image reconstruction module; the system structure is adopted, the newly-arranged excitation source and the porous collimator are adopted, the imaging effect is improved, specifically, a Thomson scattering X-ray source is used as the excitation source of XFCT, and the source has the advantages of quasi-monochromaticity, adjustable energy, linear polarization, high brightness, compact structure and the like; the multi-hole collimator is used for collecting signals in parallel, and the sensitivity of the imaging system is remarkably improved while the resolution ratio is kept. The Thomson scattering X-ray source and the porous collimator are combined to be used for XFCT, and the imaging efficiency of the XFCT can be remarkably improved.

The invention relates to the technical field of medical image and artificial intelligence technology crossing, in particular to an intelligent auxiliary diagnosis method and system for a frozen section in a thyroid cancer operation. According to the technical scheme, the method comprises the following steps that a thyroid tissue intraoperative frozen section to be diagnosed is prepared, and the frozen section does not need to be dyed or subjected to section sealing treatment; and scanning the frozen section by using a terahertz near-field imaging system to obtain terahertz near-field image data of the frozen section. According to the method, the terahertz near-field imaging technology is adopted, the situation that cell nucleus morphology is difficult to observe due to ice crystal artifacts in a traditional frozen section is avoided, cancer cells are automatically recognized in combination with an AI model trained based on large-scale labeling data, and the objectivity and consistency of diagnosis are remarkably improved; meanwhile, the steps of dyeing and mounting are omitted, and rapid imaging and analysis are realized, so that the intraoperative diagnosis time is greatly shortened, and a generated visual contour report also provides visual decision support for pathologists.

A computer implemented method for determining a distance of an object comprises the following steps carried out by computer hardware components: determining an image containing the object; determining a class of the object based on the image; determining a coarse estimation of the distance based on a distance sensor; and determining the distance of the object based on the coarse estimation and based on the class of the object.

This application provides a multi-nucleus magnetic resonance imaging (MRI) device, belonging to the field of medical device technology. A multi-nucleus radio frequency (RF) transmitting unit is used to generate RF signals from at least two different nuclides. A gradient magnetic field unit is used to provide the gradient magnetic field required for spatial encoding. A multi-nucleus RF receiving unit is used to receive echo signals from different nuclides. A control unit is configured to adjust the timing sequence of the multi-nucleus RF transmitting unit, the multi-nucleus RF receiving unit, and the gradient magnetic field unit to achieve parallel excitation and synchronous reception of at least two different nuclides. Through the multi-nucleus RF transmitting unit, the gradient magnetic field unit, the multi-nucleus RF receiving unit, and the control unit in this application, parallel excitation of RF signals from at least two different nuclides and synchronous reception of echo signals from different nuclides are achieved, reducing the number of excitations and reception time required for imaging, improving imaging speed, and solving the problem of slow imaging speed in traditional devices.

This invention relates to the field of intelligent rail transit technology, providing a track detection method, apparatus, electronic device, and storage medium. The track detection method includes: obtaining target image data representing a track region from image data acquired by a camera; obtaining target point cloud data representing the track region from point cloud data acquired by a lidar based on the camera parameter matrix and the target image data; extracting a transformation matrix from the lidar coordinate system to the track plane coordinate system based on the target point cloud data; obtaining target track data generated by projecting the target image data onto the track plane based on the camera parameter matrix and the transformation matrix; and fitting a target track equation based on the target track data. This invention's track detection scheme combines the sensing capabilities of lidar with the motion-distortion-free and pixel-dense characteristics of camera imaging, improving track detection accuracy, increasing track detection distance, and efficiently and accurately obtaining track detection results.

The application provides a dipole double-layer casing well imaging method based on an Inception module, forward modeling is performed on a real double-layer casing well model, a dipole excitation mode is adopted, different sizes of double-layer casing well array logging signals are obtained according to the forward model, neural network parameters based on the Inception module are set, and the obtained characteristic signal array is input into a neural network containing the Inception module for training and verification, the training result of the neural network is saved, and the network structure of the neural network containing the Inception module and the model trained by the optimal parameters are used for carrying out longitudinal wave and transverse wave slowness inversion and imaging on the double-layer casing well. The application establishes the relationship between the characteristic signal and the real longitudinal wave and transverse wave slowness graph of the dipole double-layer casing by using the neural network containing the Inception module, can realize fast and high-resolution imaging, and effectively improves the robustness of the neural network.

This application provides a method and apparatus for rapid multi-contrast magnetic resonance imaging based on helical trajectory acquisition. The method includes: constructing a modular multi-contrast imaging pulse sequence composed of multiple preparation modules, each preparation module being used to generate different magnetic resonance signals; generating magnetic resonance signals according to the modular multi-contrast imaging pulse sequence, and acquiring the magnetic resonance signals using a helical trajectory to obtain acquired magnetic resonance signals; and performing imaging reconstruction based on the acquired magnetic resonance signals to obtain magnetic resonance images with different contrasts. This method improves the generation efficiency of magnetic resonance signals by generating magnetic resonance signals with different contrasts through a modular multi-contrast imaging pulse sequence. Since the helical acquisition trajectory has high encoding efficiency, using a helical trajectory acquisition can effectively improve the acquisition efficiency of magnetic resonance signals, thus increasing the imaging speed of multi-contrast magnetic resonance images.

The invention relates to a photoacoustic microscopic imaging method and system. The method comprises the following steps: arranging a sample at a specified position; the spatial light modulator loads a phase diagram corresponding to the Gaussian light, scanning is carried out at a set rate, and an imaging result is obtained; selecting a region of interest according to the imaging result, and performing axial modulation imaging in the region of interest; in the axial modulation imaging process, the spatial light modulator loads 2N + 1 phase diagrams corresponding to non-sinusoidal modulation functions of different phases in sequence; phases corresponding to the 2N + 1 phase diagrams are as follows: N is the number of modulation frequencies; and reconstruction is carried out based on 2N + 1 one-dimensional photoacoustic signals obtained through axial modulation imaging scanning, and the photoacoustic signals after bandwidth expansion are obtained. According to the invention, the bandwidth of the photoacoustic signal can be expanded to GHz, an axial high-resolution imaging result is obtained, the data volume is reduced, the imaging time is shortened, and the imaging speed is improved.

The invention discloses a terahertz defect detection device based on a multiple-input-multiple-output array, and relates to the technical field of testing. The device comprises a portal frame, a transmission table, a defect detection array front end, a microwave signal generation module and a data acquisition and control module, the defect detection array front end is fixed on the portal frame, is connected with the microwave signal generation module and is used for detecting defects of a sample to be detected, and the data acquisition and control module is connected with the transmission table. Comprising a terahertz signal generating array, a terahertz signal receiving array and a transmitting and receiving antenna module, and array elements in the terahertz signal generating array and the terahertz signal receiving array are arranged at equal intervals in a staggered mode; the transmission table is positioned below the front end of the defect detection array and is used for placing a sample to be detected, and the portal frame, the transmission table, the front end of the defect detection array and the microwave signal generation module are respectively connected with the data acquisition and control module. The device disclosed by the invention is high in integration level, high in stability and high in imaging efficiency, and realizes rapid, efficient and nondestructive detection on the defects of the non-metallic material.

The utility model relates to the technical field of micro-nano optics, in particular to a light field switching device and a light field switching and characterization system. The light field switching device comprises a laser, an optical parametric oscillator, a three-dimensional moving table, a substrate and an oil-immersed objective lens fixed on the three-dimensional moving table, the laser, the optical parametric oscillator, the three-dimensional moving table and the substrate are sequentially arranged, a metal film layer is plated on one side of the substrate, and the three-dimensional moving table is configured to bear the oil-immersed objective lens to move relative to the substrate. The three-dimensional moving table is moved to drive the oil-immersed objective lens to move, so that the relative distance between the focus of the oil-immersed objective lens and the metal film layer on the substrate is changed, the focusing degree of the exciting light is controlled, the exciting light focused by the oil-immersed objective lens and the metal film layer are subjected to different reactions, and different fields to be measured are generated. A user can quickly switch different tight focusing light fields and surface plasmon polariton fields only by adjusting the three-dimensional mobile station, and when parameters of incident light are changed, the switching device is still applicable and has high reusability.

The application provides a resistance anode single photon camera based on a triangle-trapezoid dual-channel shaping algorithm, and aims at solving the technical problem that the trapezoidal shaping signal flat top part of the existing resistance anode single photon camera based on a trapezoidal filter shaping algorithm will appear signal superposition phenomenon, which causes the tail wave of the previous pulse to affect the amplitude of the next pulse, and even when the signal superposition is too much, the amplitude extraction and position signal calculation will be affected, and then the imaging resolution of the resistance anode single photon camera is reduced. The resistance anode single photon camera provided by the application digitizes the analog part in the traditional electronics, and introduces a triangle shaping algorithm on the basis of the traditional trapezoidal shaping algorithm, determines the pulse position through the triangle shaping algorithm, and then determines the pulse amplitude through the trapezoidal shaping algorithm, so that the effective pulse peak value under the pulse superposition condition can be more accurately identified, and the spatial resolution of the resistance anode single photon camera is greatly improved.

The application provides a 360-degree panoramic deep-rotation visual imaging device and a shooting method in a pipeline, which comprises a support, a ranging-zoom camera module with ranging-zoom function and a control module, the ranging-zoom camera module comprises a camera and a depth sensor, a slip ring is installed on the top of the support, the ranging-zoom camera module is installed above the slip ring, a motor and an encoder are respectively arranged on the two sides of the slip ring, the slip ring drives the ranging-zoom camera module to rotate under the action of the motor, the encoder converts the rotating displacement data into digital pulse information during the rotation of the slip ring and transmits the digital pulse information to the control module, and the control module is arranged in the support. The application can synchronously obtain a panoramic image sequence of the inner surface of the pipeline, and obtain a high-definition panoramic image of the inner surface through an image splicing fusion method, thereby improving the efficiency of panoramic imaging in the pipeline.

The invention relates to a PET and NIR bimodal diagnosis and treatment integrated molecular probe, preparation and application, and belongs to the technical field of medical imaging. The PET / NIR probe disclosed by the invention is a PET / NIR bimodal diagnosis and treatment integrated molecular probe for targeting a CD206 receptor on the surface of an M2 type tumor-associated macrophage, and has a structure as shown in a formula I shown in the specification. The probe disclosed by the invention has the characteristics of quickly developing tumors, retaining in the tumors for a long time and quickly removing normal organs. The probe can be used for pre-operative PET / CT imaging, systematic focus diagnosis, guidance of formulating of an operation route, accurate positioning of tumor boundaries through intraoperative fluorescence imaging and improvement of postoperative curative effects.

This invention discloses a multi-channel light-slice microscopic imaging device. The image acquisition module includes multiple image detectors. A laser array emits multiple excitation beams of different wavelengths, which are then combined into a single incident beam by an optical path module. This incident beam passes through a scanning galvanometer and an imaging module before illuminating the sample on a stage mounted on a three-dimensional displacement platform. The imaging objective in the imaging module collects fluorescence signals from the sample, which are then split by the beam-splitting module to form multiple fluorescence signals of different wavelengths and projected onto the multiple image detectors. Each image detector forms an image imaging channel. Multiple image imaging channels receive multiple fluorescence signals of different wavelengths and transmit them to the corresponding image detectors. The three-dimensional displacement platform enables three-dimensional displacement movement of the sample slice. By employing a strategy of continuous motion imaging of the sample slice and simultaneous detection and acquisition of fluorescence signals by multiple image detectors, the time interval between sample preparation and imaging, as well as the pauses during imaging, can be reduced.

This invention discloses an ultra-micro target imaging method and system. It receives the full-band reflected light field from an ultra-micro target illuminated by a full-band light source, performs high-frequency and low-frequency switching filtering on the reflected light, and collects the intensity information of the filtered reflected light. Fourier transform and wavelet transform are then performed on the intensity information to obtain global and local images. Global features of the global image are extracted, and local features of the local image are extracted. The global and local features are then fused, and an enhanced image of the ultra-micro target is obtained based on the fused features. This invention solves the technical problem of low imaging accuracy in existing ultra-micro target imaging systems, achieving ultra-high resolution, strong noise resistance, and fast imaging speed. It can effectively solve the chip imaging problem during eutectic bonding, and the entire system has a simple structure, low cost, and is easier to maintain.

The invention provides an OCT scanning method, device and equipment and a storage medium, and relates to the technical field of OCT scanning. The method comprises the following steps: acquiring a fundus image of a target eye; performing recognition processing on the fundus image through a preset AI recognition model, and positioning to obtain at least one focus area; wherein the lesion area comprises a boundary range of the lesion. Determining an OCT scanning protocol according to the boundary range of the focus; according to the OCT scanning protocol, preset OCT equipment is controlled to scan the target eye, and at least one scanning area image is generated. And if the number of the scanning area images is multiple, splicing the multiple scanning area images to generate a spliced image. The method is used for achieving the effect of reducing the scanning time of eye examination in a traditional splicing mode.

The application discloses a spectral super-resolution method based on a variational autoencoder, and comprises the following steps: inputting a target RGB image into a first convolutional layer of a spectral super-resolution network to obtain a plurality of feature maps containing shallow layer features corresponding to the target RGB image; inputting the feature maps into an attention mechanism module of the spectral super-resolution network to perform feature mapping on the feature maps; inputting the feature maps subjected to the feature mapping into a second convolutional layer of the spectral super-resolution network to reconstruct a target hyperspectral image corresponding to the target RGB image; and training the spectral super-resolution network according to a first hyperspectral image and a first RGB image extracted by the variational autoencoder, wherein the first hyperspectral image is reconstructed by the untrained spectral super-resolution network on the basis of a training RGB image. The target RGB image is acquired by a common camera, so that the image acquisition difficulty is low, and the hyperspectral image is reconstructed by the spectral super-resolution network, so that the imaging time is short, and the method can be widely applied to the field of spectral super-resolution.