196 results about "Contrast imaging" patented technology

The invention relates to an X-ray multi-contrast imaging image quality enhancement method based on feature prior learning, and belongs to the technical field of deep learning and X-ray multi-contrast imaging. The method comprises the following steps: acquiring low-image-quality absorption, phase and dark field contrast computed tomography images and corresponding normal-image-quality three-contrast computed tomography images by using an X-ray grating multi-contrast imaging system, and constructing a training data set; constructing a conditional generative adversarial network image quality enhancement model based on feature prior learning; using the training data set to train a conditional generative adversarial network image quality enhancement model; and using the trained conditional generative adversarial network image quality enhancement model to enhance the obtained low-image-quality absorption, phase and dark field contrast computed tomography image. According to the invention, the low-quality multi-contrast images obtained under different conditions can be recovered and enhanced, and the application of the X-ray multi-contrast imaging technology in biomedical clinic and frontier material science is promoted.

The present disclosure relates to a method and an apparatus for measuring motility of ciliated cells in a respiratory tract. The method includes the operations of: acquiring image data including a plurality of frames of respiratory tract organoids; identifying positions of ciliated cells by performing motion-contrast imaging on the image data; when a region of interest (ROI) related to the position of the ciliated cells is selected, measuring a ciliary beat frequency (CBF) related to motility of cilia included in the selected region of interest using cross-correlation between the plurality of frames; and expressing the cilia included in the region of interest in a preset display method on the basis of the range of the measured ciliary beat frequency.

The invention belongs to the field of nondestructive testing, and relates to a terahertz composite material nondestructive testing method which comprises the following steps: S1, pretreating a to-be-tested material sample; s2, judging whether the to-be-detected material sample responds to terahertz waves or not, and if not, ending; s3, measuring the thickness of the to-be-detected material sample; s4, carrying out terahertz spectrum testing on the to-be-detected material sample, and determining a delay line range; s5, setting a delay line step length; s6, setting an imaging scanning range; s7, setting an imaging scanning step length; s8, clamping the to-be-detected material sample; s9, determining the focus position of the terahertz wave; s10, enabling the center of the to-be-seen material sample to coincide with the focal point of the terahertz wave, and carrying out scanning imaging; s11, calculating the defect depth of the to-be-detected material sample; and S12, carrying out terahertz time domain slice contrast imaging.

The invention provides an automatic focusing scanning imaging device and method based on a bright and dark field confocal objective lens. The device comprises a spatial modulation illumination module, the bright and dark field confocal objective lens, an annular light beam differential confocal module, a dark field confocal detection module and a bright field differential interference contrast imaging module. According to the invention, the bright and dark field confocal objective lens based on the combination of the parabolic mirror and the bright field microscope objective lens is arranged, the focus point of the annular light beam reflected by the parabolic mirror coincides with the focus of the bright field microscope objective lens, and the annular light reflected by the surface of the sample realizes automatic focusing through the differential confocal module; dark-field scattering confocal detection is realized by dark-field scattering light reflected by sample surface and subsurface defects through the confocal module, bright-field imaging of a defect area is realized by the bright-field differential interference contrast imaging module, and bright-field and dark-field three-dimensional imaging of the sample surface and subsurface defects can be realized through point-by-point scanning of the sample in x, y and z directions.

The invention relates to the field of industrial visual inspection, and discloses an ultraviolet visible light confocal object image double telecentric imaging optical system which comprises a first lens, a second lens, a first gluing piece, a diaphragm, a second gluing piece, a third lens and a fourth lens which are sequentially arranged from an object plane to an image plane, and an optical axis serves as a rotation center. Wherein the object surface of the first lens is a convex spherical surface, the curvature radius of the first lens is 110.02 mm, the image surface of the first lens is a concave spherical surface, and the curvature radius of the first lens is 65.59 mm; the object surface of the second lens is a concave spherical surface, the curvature radius of the second lens is-200.11 mm, the image surface of the second lens is a convex spherical surface, and the curvature radius of the second lens is-130.80 mm. The system can be suitable for measuring an object with the object distance of 110 mm and an industrial camera with the imaging image surface diameter of 11 mm or below, the aperture of the system is F / 8, the system is also suitable for ultraviolet and visible light environments, it is ensured that lossless and high-contrast imaging can still be achieved in different light source environments, and therefore high-precision and high-reliability surface defect recognition and classification tasks are supported.

The invention relates to the technical field of image enhancement, in particular to an image enhancement method and device for ultrasound contrast and electronic equipment. The method comprises the following steps of: analyzing gray levels of pixel points at each position in each gray level uniform window in different video frames and corresponding frame sequence distribution to obtain an overall tissue jumping period; obtaining a periodic video frame in the ultrasound contrast video; taking the arterial phase angiography video or the portal phase angiography video as a to-be-analyzed video, and obtaining the overall lesion area possibility of the pixel point at each position according to the gray level change degree and the gray level change instantaneity of the pixel point at each position in the to-be-analyzed video; and obtaining an enhanced gray value of the pixel point at each position on each video frame, obtaining an enhanced video frame, and obtaining an enhanced ultrasound contrast video. According to the method, the image enhancement effect is improved by obtaining the accurate gray value of each pixel point in each video frame.

A high-speed laser speckle contrast imaging system is for characterizing pressure wave or pulse wave propagation or vascular conducted response in at least one vessel of a biological target. The apparatus includes: a laser source generating a laser radiation; a high-speed camera configured for capturing at least 1000 frames per second (fps), preferably at least 5000 fps, more preferably 6000 fps of the target; an optical sub-system configured for 1) guiding the laser radiation from the laser source to the target 2) and for collecting and guiding a back-scattered light from the target to the camera; and a processing unit configured for receiving and processing raw image data from the camera for calculating at least one feature related to the pressure wave propagation or vascular conducted response.

Laser speckle contrast imaging techniques that apply a temporal sliding window to a sequence of speckle frames of an avian egg to determine overlapping sets of speckle frames used to reconstruct a sequence of extraembryonic blood vessel images (e.g., movie) showing blood flow dynamics, and where input to a machine learning model based on the overlapping sets of speckle frames can be used to predict the developmental stage of the avian egg, and where the overlapping sets of speckle frames can be used in drug screening.

The invention discloses an ultrasonic contrast image processing method and system applied to an abdominal drainage operation, and relates to the technical field of image processing, the ultrasonic contrast image in the abdominal drainage operation is acquired, and the ultrasonic contrast image is preprocessed by using an image processing technology; the preprocessed ultrasound contrast image is analyzed, a drainage safety area is delimited by combining the focus area position, and image data are obtained; establishing a coordinate system for the obtained image data, and carrying out digital processing on the image data; establishing a guide path prediction model based on historical guide operation data of the medical staff, and correcting the guide path prediction model in combination with the real-time image data; the method comprises the following steps: digitally processing an ultrasound contrast image, establishing a focus function and a safety function, establishing a guide path prediction model according to historical guide operation data of a medical worker, and cooperating with a real-time guide path of a guide tube to realize real-time supervision of operation behaviors of the medical worker.

The invention discloses a quantitative channel contrast imaging method based on a scanning electron microscope, electronic equipment and a medium, and the method comprises the steps: putting a polycrystalline sample into a scanning electron microscope system, determining an ROI, and obtaining crystal data; adjusting the state of the polycrystalline sample to obtain a cross-correlation diagram of the back scattering electron image and the diffraction contrast value image, so that a back scattering electron beam scanning area is overlapped with the ROI; any position is selected in the ROI, and ECP under the current electron beam energy is calculated; determining a target orientation on the ECP, and determining an optimal path for rotating the polycrystalline sample to the target orientation; acquiring back scattering electron images before and after rotation, performing cross correlation, and moving the polycrystalline sample to enable back scattering electron beam scanning areas before and after rotation to coincide; the scanning electron microscope system is adjusted through the steps, and a series of back scattering electron images of the ROI are collected. According to the invention, the scanning electron microscope can characterize and analyze crystal defects such as dislocation, nano-twin crystal, stacking fault and the like of a block-shaped sample.

A system and method for visualizing blood flow are disclosed. The method generally includes obtaining a laser speckle contrast imaging (LSCI) image of blood flow; obtaining a white light image of a tissue, the white light image capturing an anatomical structure of a subject in a region associated with the LSCI image of the blood flow; spatially registering the LSCI image and the white light image with one another; overlaying the spatially registered LSCI and white light images; and generating display data which includes the spatially registered LSCI and white light images and that continuously depicts the blood flow overlaying the tissue.

The invention relates to the technical field of medical image processing, in particular to a super-resolution reconstruction method for optimizing an alimentary canal air-barium double contrast contrast image. Comprising the following steps: acquiring a low-resolution image sequence of digestive tract air-barium double contrast radiography acquired by an image acquisition module; dynamically capturing a long-distance dependency relationship between position image elements in the low-resolution image sequence through a self-attention mechanism, and generating a feature representation reflecting context association between sequence images; based on the feature representation and local detail features in a single image in the low-resolution image sequence, generating a high-resolution image sequence containing more suspected focus detail information; and optimizing the details of the alimentary canal air-barium double contrast contrast image according to the high-resolution image sequence so as to assist in displaying the alimentary canal organ mucosa plica microstructure and the cavity form, thereby completing the super-resolution reconstruction of the alimentary canal air-barium double contrast contrast image optimization. The method obviously improves the image quality of digestive tract air-barium double contrast radiography.

The invention discloses a quantitative laser speckle blood flow imaging method based on a neuromorphic visual sensor, and relates to the technical field of biomedical engineering. The method solves the problem that static scattered light caused by physiological behaviors and electronic noise of imaging equipment have adverse effects on blood flow imaging quality in a traditional laser speckle contrast imaging method, and comprises the following steps: step 1, using a helium-neon laser as a light source, and irradiating a scattering medium with an expanded laser beam to form a speckle pattern; 2, a microfluidic injector is adopted, two parameters of the inner diameter and the flow of the injector are set, and the flow speed range is controlled; 3, asynchronously sensing the change of the light intensity of the speckle pattern by using an event camera, and shooting the speckle pattern by using a frame camera; and 4, acquiring event stream data by the event camera, and processing the data by using an algorithm. Real-time and high-resolution blood flow imaging and flow velocity calculation are achieved, and the inherent limitation of a traditional method is overcome.

The invention relates to the technical field of cuprous oxide particle testing, and discloses a method for characterizing cuprous oxide particles in a fine copper wire, which comprises the following steps: S1, fixing the fine copper wire on a copper sheet by using conductive silver paste, putting the copper sheet into a silica gel square mold, filling a metallographic phase cold inlay, and standing for 30 minutes to obtain a cured sample; s2, putting the cured sample obtained in the step S1 into a cross section cutting sample table of a three-ion-beam cutting instrument, selecting a cross section mode, setting ion gun voltage and ion beam cutting time, and starting a cutting program; and S3, transferring the sample obtained in the step S2 into a scanning electron microscope, selecting an electron channel contrast imaging mode, and setting acceleration voltage, current, working distance and magnification times to obtain a high-resolution scanning electron microscope image of the cross section of the fine copper wire. And key information such as the size, the morphology and the distribution condition of cuprous oxide particles and the interface bonding condition of the cuprous oxide particles and a copper matrix is obtained from the cuprous oxide particles. Therefore, a basis is provided for formulating a reasonable fine copper wire drawing process and a bus continuous casting and rolling process.

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 discloses a super-resolution contrast imaging method and an ultrasonic imaging system, and the method comprises the steps: controlling an ultrasonic probe to emit a first ultrasonic wave to a target tissue containing contrast agent microbubbles, and receiving a returned first ultrasonic echo signal; generating a super-resolution contrast image according to a microbubble signal in the first ultrasonic echo signal; displaying a super-resolution contrast image, wherein the super-resolution contrast image comprises a blood vessel structure of a micro blood vessel; determining a first region of interest and a second region of interest in the super-resolution contrast image based on user operation; determining a first blood vessel density of the first region of interest and a second blood vessel density of the second region of interest; obtaining a blood vessel density ratio of the first region of interest to the second region of interest according to the first blood vessel density and the second blood vessel density; and displaying the blood vessel density ratio. By providing the blood vessel density ratio of the first region of interest and the second region of interest, analysis of the disease development state or prognosis effect is facilitated.

Systems and methods are provided for contrast scans. In one example, a computing device is configured to display a scan interface in a prescription view on a screen and to receive user input of a contrast observation slice for tracking arrival of a contrast bolus during a contrast scan. The screen is further configured to display a scanning button that can be reached directly from the scan interface, the scanning button selectable to launch a live scanning view of the scan interface that enables live 2D images of the contrast observation slice to seen within the scan interface. The live scanning view includes a contrast tracking display panel that displays an auto-triggering button that is selectable to enable auto-triggering of post-contrast image acquisition and that displays a contrast intensity plot determined from the live 2D images.

Systems and methods are provided for contrast scans. In one example, a computing device is configured to display, on a screen, a scan interface including a scan prescription display panel in a timeline view including an editable version of a timeline, the scan prescription display panel in the timeline view configured to receive user input to enable a scan prescription of a contrast scan of an imaging subject to be set while displaying each step of the scan prescription via the timeline as that step is set, and additionally being configured to display on the screen a button that can be reached directly from the scan interface, wherein the button is selectable to initiate the contrast scan and launch a scanning view of the scan prescription display panel that enables each step of the scan prescription to be seen via the timeline as the contrast scan is carried out.

The invention relates to the technical field of medical image processing, in particular to a swallowing radiography auxiliary method, device and equipment. Images in the swallowing process are collected, target points in the swallowing process are recognized through a target recognition model, the relative positions of the recognized target points are determined, therefore, distance parameters of the multiple target points in the swallowing process are determined, and medical results are evaluated based on the distance parameters. According to the method, the image processing effect of the swallowing process can be improved through a machine learning algorithm, and the problem of dependence on manual processing in the prior art is reduced.

This application relates to a fully automated method and apparatus for quantitative analysis of myocardial acoustic contrast imaging. The method includes: acquiring myocardial acoustic contrast imaging images; segmenting the acquired myocardial acoustic contrast imaging images to obtain myocardial segmentation images; calculating the cardiac chamber area based on the myocardial segmentation images; automatically extracting the myocardial segmentation results at the end of cardiac systole using the periodic changes in cardiac chamber area; using the extracted end-systolic segmentation results as a mask to extract the corresponding position of each image as a target region for registration, thereby generating a one-to-one correspondence of registered image sequences; fitting a function model based on the pixel values ​​of each point in the registered image sequence; and generating a parametric image based on the registered image sequence and the fitted function model. Therefore, this application can perform fully automated quantitative analysis of myocardial acoustic contrast imaging.

The present disclosure relates to a 3D and / or 4D ultrasound contrast imaging device, a 3D and / or 4D ultrasound contrast imaging method and a medium. The method includes: receiving an input for selecting a 3D contrast imaging mode or a 4D contrast imaging mode; receiving an input for setting an imaging speed, including a first imaging speed and a higher second imaging speed; and controlling the device with imaging parameters associated with the selected contrast imaging mode and the set imaging speed to achieve imaging in the selected contrast imaging mode at the set imaging speed, the association of the imaging parameter and the imaging speed enables the data volume required for generating each image at the first imaging speed to be greater than the data volume required for generating each image at the second imaging speed. Thus, a user can freely select an expected contrast imaging mode and imaging speed, imaging parameters are acquired in a targeted mode, and the real-time observation requirement of a doctor can be met under the conditions that the data processing capacity is limited and various probes are used.

The invention provides a low-dose X-ray multi-contrast high-precision signal analysis method, and belongs to the technical field of deep learning and X-ray grating contrast imaging. Comprising the following steps: acquiring a grating stepping projection sequence under a low-dose condition; a convolutional neural network model is constructed, the model is composed of a contrast analysis module and a U-net, the contrast analysis module is used for extracting a contrast signal, and the U-net is used for further image enhancement and noise removal; training a convolutional neural network model; and obtaining high-quality absorption, phase and dark field projection by using a trained convolutional neural network model and utilizing a low-dose grating stepping projection sequence. According to the method, the physical information in the grating stepping projection sequence is extracted by using the convolutional neural network, so that the influence of noise introduced by low-dose X-rays on contrast signals can be reduced, the radiation dose borne by a sample is effectively reduced, the imaging quality is remarkably improved, and the application potential of X-ray grating differential phase contrast imaging is improved.

This invention discloses a beam expander lens for laser scanning projection, relating to the field of laser projection display technology. It includes a first lens group, a second lens group, a third lens group, and a fourth lens group, arranged sequentially along the optical axis. These four lens groups together form the complete lens. The first, second, third, and fourth lens groups are arranged in a positive-negative-negative-negative optical power configuration. Through innovative optical architecture and optical power allocation, a large-angle beam expander function is achieved within a space of less than 35mm in total length, greatly saving internal space. By utilizing the chromatic aberration correction capability of the first lens group and the aberration correction capabilities of the second, third, and fourth lens groups, high-contrast imaging is achieved across the entire field of view and wavelength range, with concentrated dot matrix energy, meeting the requirements of high-resolution projection.

This invention discloses a low-pass filtered non-breath-hold saline angiography combined with cardiac mirror contrast imaging for lung perfusion imaging, belonging to the field of medical imaging technology. The method includes the following steps: S1: determining whether the subject's tidal impedance variation meets the imaging criteria; S2: injecting contrast agent into the subject to perform angiography; S3: obtaining an impedance decrease signal; S4: combining cardiac mirror contrast imaging with lung perfusion images. This invention solves the problem of low success rate of saline angiography in existing technologies, achieves separation of thoracic impedance caused by tidal breathing and thoracic impedance caused by saline angiography, reduces the influence of the cardiac region on lung perfusion images, further improves the accuracy of lung perfusion imaging, greatly reduces the interference of breath-holding on respiratory circulation, improves the simplicity of clinical application, and expands clinical application scenarios.

This application relates to the field of image information processing technology and provides a fusion contrast imaging method, a registration method and apparatus for intracavitary images and contrast images. The fusion contrast imaging method includes: acquiring contrast images and intracavitary images; fusing the contrast images and intracavitary images based on the correspondence between contrast markers and intracavitary markers to obtain a fusion contrast imaging result. This application links contrast images and intracavitary images through contrast markers and intracavitary markers, enabling intracavitary image information and contrast image information to correspond and be fused to obtain a fusion contrast imaging result, thereby overcoming the problem that traditional contrast images contain only a single type of information.

Systems and methods for simultaneous phase-contrast imaging and electron energy loss spectroscopy. The method and system for imaging a sample with charged particles include guiding charged particles toward the sample along a principal axis, and simultaneously detecting a first portion and a second portion of the charged particles transmitted through the sample using a first detector and a second detector, respectively. The second detector is positioned downstream of the first detector. Each of the transmitted charged particles exits the sample at an exit angle between the direction of the transmitted charged particle and the principal axis. The exit angle of the first portion of the transmitted charged particle overlaps with the exit angle of the second portion of the transmitted charged particle. In this way, complementary information, such as structural and compositional information, can be obtained simultaneously.

The present application provides a method for playing an ultrasound contrast imaging movie file, an ultrasound movie file playing method, and an ultrasound device. The method comprises: receiving a playback instruction for a movie file, wherein the movie file is dynamic data of an ultrasound image, the ultrasound image is formed according to an ultrasound echo, and the ultrasound echo is a sound wave signal returned after the probe of the ultrasound device sends an ultrasound wave to the target tissue; determining the imaging frame rate of the ultrasound image; determining the playback frame rate of the movie file according to the imaging frame rate, wherein the imaging frame rate is negatively correlated with the playback frame rate; and playing the movie file at the playback frame rate. When playing a movie file at a playback frame rate that is negatively correlated with the imaging frame rate, a movie file with a low frame rate plays more smoothly, and a movie file with a high frame rate plays more in line with the human eye's perception.

One aspect of the invention relates to a method for intraoperative detection of parathyroid gland viability in a surgery, comprising obtaining speckle contrast images of a parathyroid gland of a patent; and displaying the speckle contrast images of the parathyroid gland in real-time.

Disclosed in the present invention are an accelerated multi-contrast imaging method and system based on a diffusion model, and a terminal. The method comprises: acquiring an under-sampled measurement signal in magnetic resonance, inputting the under-sampled measurement signal into a trained convolutional neural network, and outputting joint distribution data by means of the trained convolutional neural network; determining a generation problem of an accelerated multi-contrast image on the basis of the under-sampled measurement signal, and using the generation problem of an accelerated multi-contrast image to construct a joint distribution diffusion model by means of a Bayesian method and a Langevin dynamics Markov chain Monte Carlo sampling method; and on the basis of the joint distribution data, iteratively processing the joint distribution diffusion model to obtain a target multi-contrast weighted graph, and outputting the target multi-contrast weighted graph. The present invention aims at solving the problem of it not being possible for existing accelerated multi-contrast imaging methods to meet both generalization and acceleration performance, and by means of the method, a multi-contrast weighted graph with good generalization and acceleration performance can be obtained.

A system for analyzing biological components in a biological sample, wherein the system comprises a planar surface, and wherein the system is configured to perform a procedure comprising: (a) arranging a spatially connected biological sample adjacent to the planar surface, wherein: the spatially connected biological sample comprises a tissue sample, the tissue sample comprises a plurality of cells, the planar surface comprises glass, plastic, or a combination thereof, the planar surface further comprises a plurality of binding sites, the plurality of binding sites is arranged in a two-dimensional pattern on the planar surface, the planar surface comprises at least 10⁵ binding sites, each of the plurality of binding sites comprises a plurality of single-stranded oligonucleotides, and the plurality of single-stranded oligonucleotides is coupled to the planar surface.at least one subset of the plurality of single-stranded oligonucleotides comprises: (i) a binding sequence comprising a plurality of thymine bases configured to bind to poly-A sequences, (ii) a unique molecular identifier, (iii) a barcode associated with a position on the planar surface, and (iv) a sequencing primer, and each oligonucleotide of the subset of the plurality of single-stranded oligonucleotides comprises at least 50 nucleotides; (b) imaging at least a portion of the spatially linked biological sample, wherein the imaging comprises bright-field imaging, phase-contrast imaging, fluorescence imaging, or a combination thereof; (c) releasing nucleic acids from the spatially linked biological sample; and (d) capturing at least one subset of the nucleic acids on at least the subset of single-stranded oligonucleotides, thereby recovering the captured nucleic acids.the captured nucleic acids are immobilized on the flat surface.