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941 results about "Phase image" patented technology

Phase Imaging is a powerful extension of Tapping Mode Atomic Force Microscopy (AFM) that provides nanometer-scale information about surface structure often not revealed by other SPM techniques.

Catheter tracking with phase information

The present invention discloses a method for determining the position and / or orientation of a catheter or other interventional access device or surgical probe using phase patterns in a magnetic resonance (MR) signal. In the method of the invention, global two-dimensional correlations are used to identify the phase pattern and orientation of individual microcoils, which is unique for each microcoil's position and orientation. In a preferred embodiment of the invention, tracking of interventional devices is performed by one integrated phase image projected onto the axial plane and a second image in an oblique plane through the center of the coil and normal to the coil plane. In another preferred embodiment, the position and orientation of a catheter tip can be reliably tracked using low resolution MR scans clinically useful for real-time interventional MRI applications. In a further preferred embodiment, the invention provides real-time computer control to track the position of endovascular access devices and interventional treatment systems, including surgical tools and tissue manipulators, devices for in vivo delivery of drugs, angioplasty devices, biopsy and sampling devices, devices for delivery of RF, thermal, microwave or laser energy or ionizing radiation, and internal illumination and imaging devices, such as catheters, endoscopes, laparoscopes, and related instruments.
Owner:SUNNYBROOK HEALTH SCI CENT +1

Fringe projection time phase unwrapping method based on deep learning

The invention discloses a fringe projection time phase unwrapping method based on deep learning. Firstly, four sets of three-step phase shift grating patterns are projected to a to-be-tested object, the frequencies are 1, 8, 32 and 64 respectively, and a camera collects a raster image and obtains a wrapped phase image by using a three-step phase shift method; then, a multi-frequency algorithm based on time phase unwrapping is used for carrying out phase unwrapping on the wrapped phase image to obtain a periodic level map of a phase with the frequency of 64; a residual convolutional neural network is constructed; the input data is set to be the wrapped phase image with the frequencies of 1 and 64, and the output data is the periodic level map of the phase with the frequency of 64; finally,a training set and a verification set are made to train and verify the network; and the network verifies a test set to output the periodic level map of the phase with the frequency of 64. According tothe fringe projection time phase unwrapping method based on deep learning in the invention, the deep learning method is adopted and the wrapped phase image with the frequency of 1 is used for unwrapping the wrapped phase image with the frequency of 64; and an absolute phase image with less error points and higher accuracy can be obtained.
Owner:NANJING UNIV OF SCI & TECH

High resolution ratio remote-sensing image division and classification and variety detection integration method

The utility model discloses a integrated method based on multi-level set evolution and high resolution remote sensing image partition, classification and change inspection, which is characterized in that (1) image preprocessing (radiation, registration and filtering); (2) the multi-level set evolutional partition and classification model, after registration, the GIS data determines the initial profile of each level set function and performs the partition and classification to the first phase image; (3) the model described in the (2) is still adopted, and the initial profile of each level set function is optimized, increment type partition and classification is adopted for the second to T phase; (4) the objective after partition is used as unit, the ith and (i+1)th two adjacent phase image classification results are compared to determine the change area; (5) return back to (3) until the partition, classification and change inspection of all T phase image are finished. The utility model has the advantages that: compared with the traditional pixel-oriented K value method, the classification and inspection precision are improved, The utility model is applicable for the change inspection of sequence remote sensing image and has wide application in hazard monitoring and land resource investigation.
Owner:WUHAN UNIV

Non-destructive detection method of pulse-excited infrared thermal wave phase of fixed viewing field

The invention relates to a non-destructive detection method of pulse-excited infrared thermal wave phase of a fixed viewing field. The non-destructive detection method comprises the following steps: comprehensively applying a multiple-modulation Zoom-FFT refining spectrum method, a thermal-wave data fitting extension method and a zero-phase digital filter method, and carrying out high-accuracy spectral analysis on acquired continuous equally-spaced infrared thermal-wave image sequences before and after thermal excitation, thus quickly obtaining precise ultralow-frequency thermal-image phase diagram and amplitude diagram, and further realizing detection and recognition for defects or damages of equipment. Compared with the prior art, the non-destructive detection method has the beneficial effects that not only can the acquisition frequency, the acquisition time, the acquisition frame number and the refining degree of analysis of thermal images be flexibly set, but also the detection speed, the refining degree and the precision degree can be increased by ten times respectively, the multiplied increase of the detection effect and the detection depth of the defects also can be realized, simultaneously the requirement for computer hardware is also reduced, so that the method is flexible in use, is especially suitable for non-destructive detection of the infrared thermal wave on site and has a wide application prospect.
Owner:PLA SECOND ARTILLERY ENGINEERING UNIVERSITY

Three-dimensional mirror object shape measurement system based on sinusoidal stripe projection

A three-dimensional mirror object shape measurement system based on sinusoidal stripe projection mainly comprises a computer system, a sinusoidal stripe projection system based on an acousto-optic deflector, an image acquisition system, a quick positioning system and a precise translation stage. A computer controls the sinusoidal stripe projection system to project a plurality of sinusoidal stripes to a directly measured surface of a mirror object, the phase, the frequency and the brightness of each projected sinusoidal stripe are adjustable, then the image acquisition system acquires corresponding image information and transmits the image information to the computer system, the computer system processes the image information, accordingly, a phase image containing three-dimensional information of the object is obtained, and finally, three-dimensional information of the measured surface of the mirror object is obtained according to a phase and height mapping relation. The three-dimensional mirror object shape measurement system is mainly applied to three-dimensionally measuring shapes of micro-sized mirror objects, the measurement range is about 4.5mmX3mm, the resolution is superior to 5 micrometers, and three-dimensional point cloud space is 3.75 micrometers.
Owner:BEIHANG UNIV

Complex index refraction tomography with sub lambda/6-resolution

The present invention discloses a method to improve the image resolution of a microscope. This improvement is based on the mathematical processing of the complex field computed from the measurements with a microscope of the wave emitted or scattered by the specimen. This wave is, in a preferred embodiment, electromagnetic or optical for an optical microscope, but can be also of different kind like acoustical or matter waves. The disclosed invention makes use of the quantitative phase microscopy techniques known in the sate of the art or to be invented. In a preferred embodiment, the complex field provided by Digital Holographic Microscopy (DHM), but any kind of microscopy derived from quantitative phase microscopy: modified DIC, Shack-Hartmann wavefront analyzer or any analyzer derived from a similar principle, such as multi-level lateral shearing interferometers or common-path interferometers, or devices that convert stacks of intensity images (transport if intensity techniques: TIT) into quantitative phase image can be used, provided that they deliver a comprehensive measure of the complex scattered wavefield. The hereby-disclosed method delivers superresolution microscopic images of the specimen, i.e. images with a resolution beyond the Rayleigh limit of the microscope. It is shown that the limit of resolution with coherent illumination can be improved by a factor of 6 at least. It is taught that the gain in resolution arises from the mathematical digital processing of the phase as well as of the amplitude of the complex field scattered by the observed specimen. In a first embodiment, the invention teaches how the experimental observation of systematically occurring phase singularities in phase imaging of sub-Rayleigh distanced objects can be exploited to relate the locus of the phase singularities to the sub-Rayleigh distance of point sources, not resolved in usual diffraction limited microscopy. In a second, preferred embodiment, the disclosed method teaches how the image resolution is improved by complex deconvolution. Accessing the object's scattered complex field—containing the information coded in the phase—and deconvolving it with the reconstructed complex transfer function (CTF) is at the basis of the disclosed method. In a third, preferred embodiment, it is taught how the concept of “Synthetic Coherent Transfer Function” (SCTF), based on Debye scalar or Vector model includes experimental parameters of MO and how the experimental Amplitude Point Spread Functions (APSF) are used for the SCTF determination. It is also taught how to derive APSF from the measurement of the complex field scattered by a nanohole in a metallic film. In a fourth embodiment, the invention teaches how the limit of resolution can be extended to a limit of λ/6 or smaller based angular scanning. In a fifth embodiment, the invention teaches how the presented method can generalized to a tomographic approach that ultimately results in super-resolved 3D refractive index reconstruction.
Owner:ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE (EPFL)

Medical image analysis method, system and medical device

ActiveCN106934807AGood volume characteristicsGet volumetric propertiesImage enhancementImage analysisImage contrastImaging analysis
The invention provides a medical image analysis method, a medical image analysis system and a medical device. The method comprises the following steps that: a plurality of paths of image data are imported; the spatial coordinate positions of the imported different paths of image data are registered, and registration relations are established; one or more paths of image data are selected, and one or more target regions are separated from each path of image data; the features of the target regions are extracted, and the target regions are mapped into other images according to the registration relations; any spatial plane position is specified, a plurality of section images are generated according to the registered images; and different section position image are correspondingly displayed in different sub-windows, and the same section position images from different image data are displayed in the same sub-windows. With the method of the invention adopted, the technical problems of incapability of embodying the volumetric characteristics of three-dimensional image data and being adverse to the comparison of the differences of different images of a display mode in the prior art can be solved, the subtle differences of images of the same mode or different modes and spatial corresponding position relations of target tissue structures in different modes and time-phase images can be fast and effectively observed, and therefore, image contrast analysis can be facilitated.
Owner:SHENZHEN MINDRAY BIO MEDICAL ELECTRONICS CO LTD

Cotton developmental phase automatic identification method based on image classification and target detection

A cotton developmental phase automatic identification method based on image classification and target detection belongs to the field of agricultural meteorological observation. With development of image processing and deep learning technologies, transformation of agricultural meteorological observation mode from manual observation to automatic observation becomes possible. In order to realize automatic observation for a cotton developmental phase, the invention provides a cotton developmental phase automatic identification method based on image classification and target detection. In method provided by the scheme, different features existing in each developmental phase image are observed and analyzed, then, automatic identification of a three true leaves phase, a five true leaves phase anda squaring phase is realized through image classification based on deep learning, further, flowers and cotton fiber in the image are detected automatically through deep target detection, and finally,results of two algorithms are integrated, and automatic identification for a complete cotton developmental phase is realized. The method provided by the scheme can realize rapid and accurate automatic identification for the cotton developmental phase and has very important application value.
Owner:BEIJING UNIV OF TECH
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