42 results about "Joint imaging" patented technology

The invention discloses an unmanned aerial vehicle resisting distributed networking detection method and device. The unmanned aerial vehicle resisting distributed networking detection method comprises the steps that at least two photoelectric infrared composite sensing detection assemblies are enabled to form an unmanned aerial vehicle resisting detection network; each photoelectric infrared composite sensing detection assembly determines the position thereof through a satellite positioning unit; a broadband active phased array radar unit in each composite detection assembly detects and discovers the position of an unmanned aerial vehicle to be detected; a visible light and infrared imaging unit in each composite detection assembly perform focused joint imaging on the unmanned aerial vehicle to be detected; and a plurality of positions of the unmanned aerial vehicles to be detected in the plurality of composite detection assemblies are fused to act as high-precision position output so as to complete stable and accurate tracking for the unmanned aerial vehicle to be detected accordingly, and a plurality of images of the unmanned aerial vehicle to be detected are fused to act as clear and complete image output so as to complete automatic and accurate recognition for the unmanned aerial vehicle to be detected accordingly. The unmanned aerial vehicle resisting distributed networking detection method has the advantages of convenient operation, wide detection area, high capturing rate, excellent positioning accuracy, high recognition rate and the like.

A method as a workflow for imaging for a heart valve implant procedure includes positioning the patient and an articulated imaging apparatus relative to one another, inducing rapid ventricular pacing in the patient, and imaging a region of the patient's heart to obtain image date for a three-dimensional image. The three-dimensional data is used to construct a three-dimensional image of the region of the patient's heart an the three-dimensional image is displayed for use in the implanting of the replacement heart valve. Optional steps may include obtaining a real time two-dimensional image of the patient's heart and superimposing the real time two-dimensional image with the constructed three dimensional image. The replacement valve is moved into position in the patient's heart during rapid ventricular pacing and breath hold using the superimposed two-dimensional and three-dimensional image information.

A multi-scale seismic data joint imaging method based on fluctuation theory comprises the steps of: respectively measuring ground seismic data, cross-well seismic data and/or vertical seismic profile data within a block, namely at least two types of seismic data in a VSP method by adopting wave field direct downward continuation method so as to obtain pre-stack depth migration data; respectively conducting normalization treatment on the obtained pre-stack depth migration data of at least two types of seismic data, namely the ground seismic data, the crow-well seismic data and/or the vertical seismic profile data; and superposing the pre-stack depth migration data after normalization treatment to obtain a multi-scale data joint imaging result in the block. The method can combines the advantages of the ground seismic data, the cross-well seismic data and the vertical seismic profile data, is adapt to horizontal change of a velocity field better and maintains a certain degree of dynamic characteristics.

The invention provides a head and neck joint imaging method and device based on deep priori learning, and the method comprises the steps: obtaining a magnetic resonance image of a head and neck jointto be reconstructed; Inputting the head and neck combined magnetic resonance image to be reconstructed into a plurality of pre-established convolutional neural network models, and setting a pluralityof residual error blocks in the plurality of convolutional neural network models; And reconstructing the head and neck combined magnetic resonance image to be reconstructed through the plurality of convolutional neural network models to obtain an artifact-free high-resolution head and neck combined image. By means of the scheme, the problem that the imaging precision and the imaging time requirement cannot be guaranteed at the same time in existing head and neck combined imaging is solved, and the technical effect that the imaging time can be effectively shortened under the condition that theimaging precision is guaranteed is achieved.

The invention provides a hip joint imaging method and a hip joint imaging system, which are used for obtaining a standard section diagram of a hip joint. The method comprises the following steps: acquiring volume data of the target hip joint; obtaining at least one section diagram of the target hip joint according to the volume data; analyzing the at least one section diagram to obtain analysis data of the at least one section diagram, wherein the analysis data is used for measuring a standard degree of the at least one section diagram; and determining at least one standard section diagram from the at least one section diagram according to the analysis data.

The invention relates to a magnetic resonance vessel wall imaging method and an apparatus. The method comprising: applying a set of radio frequency pulse sequences to an imaging area, wherein the setof radio frequency pulse sequences includes, in chronological order, a composite double-band delay alternation and a custom excitation nutation A DANTE pulse group, a variable flip angle chain of a three-dimensional fast spin echo SPACE, and a flip down radio frequency pulse chain (S110); acquiring a magnetic resonance signal generated by the imaging area and reconstructing a magnetic resonance signal to obtain the imaging area Magnetic resonance image of blood vessel wall (S120). By further inverting the cerebrospinal fluid signal of the whole brain by increasing the downward flip of the radio frequency pulse chain after the variable flip angle chain of the three-dimensional fast spin echo SPACE, the use of the DANTE pulse group can help the vascular wall at the head-neck joint Imaging.

The invention relates to a cervicothoracic joint imaging coil component which comprises a cervicothoracic front piece, a nape base and carotid artery parts, wherein the cervicothoracic front piece isa semi-flexible structure, and the shape corresponds to the cervicothoracic front part of a standard human body; the upper surface of the nape base corresponds to the shape of the nape part of the standard human body; the lower surface of the nape base corresponds to a bed table; the carotid artery parts are movably arranged on two sides of the neck part of the nape base; coils are embedded in thecervicothoracic front piece, the nape base and the carotid artery parts; an insulating outer layer is arranged on the surface of each coil; when the cervicothoracic joint imaging coil works, the cervicothoracic front piece, the nape base and the carotid artery parts are fit with the surface of a subject.

The invention discloses a surface wave exploration method for jointly extracting Rayleigh wave frequency dispersion characteristics in a seismic wave field. The surface wave exploration method comprises the following steps of: acquiring jointly acquired data, wherein the jointly acquired data comprises seismic wave data and electric field data; carrying out joint imaging processing on the jointlyacquired data to obtain a superimposed frequency dispersion spectrum; and carrying out extraction processing on the superimposed frequency dispersion spectrum to obtain a frequency dispersion curve, and outperforming inversion processing on the frequency dispersion curve to obtain a stratum structure profile. As the seismic wave data and the electric field data are adopted to carry out combined imaging processing to obtain the superimposed frequency dispersion spectrum, and the multi-mode frequency dispersion curve is extracted, the multiplicity of solutions of inversion is greatly reduced during inversion, and the precision and stability of surface wave exploration are greatly improved.

The invention relates to an OBS and sea surface towrope seismic data combined imaging method and a processing terminal. The method comprises the following steps: 1, acquiring original OBS data and MCSdata; 2, preprocessing the MCS data, and extracting seismic wavelets and a migration velocity model; 3, preprocessing the OBS data; 4, performing wave field separation on the preprocessed OBS data toobtain an uplink wave of the OBS data; and 5, obtaining a joint imaging result according to the preprocessed MCS data, the uplink wave, the seismic wavelet and the migration velocity model. Accordingto the method, the uplink waves of the OBS data are fully utilized, the uplink waves accord with the wave equation, the imaging method based on the wave equation can be used for obtaining the combined imaging result, calculation is more convenient, and the obtained imaging result is better in effect.

The invention relates to a marine complex environment dynamic high-precision optical joint imaging method and system, and solves problems of a low image resolution and imaging distortion caused by factors such as backward scattering, forward scattering, turbulence, motion smear and the like in an existing marine imaging technology. The system comprises an LED pulse light source, a transmitting optical unit, a polarizer, a target object, a receiving optical unit, an optical stochastic resonance unit, a focal dividing plane polarization imaging unit 7, a focal dividing plane polarization imagingdetector and a synchronous control unit, wherein the transmitting optical unit and the polarizer are located on an output light path of the pulse light source, and the receiving optical unit, the optical stochastic resonance unit, the focal dividing plane polarization imaging unit and the focal dividing plane polarization imaging detector are located on a transmission light path of a return lightbeam after an ocean underwater target object is imaged by a detection light beam.

The invention relates to the field of human body joint prosthesis matching, in particular to a joint prosthesis intelligent matching and preparation method based on artificial intelligence big data, which realizes automatic matching with joint prostheses in classified mass production according to joint imaging data of a patient, and greatly improves matching efficiency and matching precision. According to the technical scheme, the method comprises the following steps: collecting human body joint imaging data, constructing a human body joint three-dimensional image according to the imaging data, obtaining a joint structure feature vector according to the human body joint three-dimensional image, carrying out unsupervised clustering learning on joint prostheses according to the feature vector, and carrying out classified mass production on the joint prostheses according to a learning result. And then acquiring the imaging data of the joint of the patient, acquiring the characteristic vector of the joint of the patient according to the imaging data of the joint of the patient, matching the characteristic vector of the joint of the patient with the classified and mass-produced joint prosthesis, and selecting the corresponding joint prosthesis after the matching is passed. The method is suitable for efficient matching of clinical large-scale human body joint prostheses.

The invention discloses a dynamic brain function dual-mode imaging system based on fluorescence and photoacoustic tomography, which organically combines the two measurement methods of FMT/PAT, so thatthe source and probe of FMT and PAT are distributed on the same horizontal plane in order to avoid the difference in registration position of joint imaging, to achieve high sensitivity, high spatio-temporal resolution and full-brain range imaging dual-mode multi-parameter dynamic imaging of brain function and to take into account the high sensitivity of FMT in dynamics research and advantages ofPAT in high spatial resolution. PAT provides images of deep cerebral oxygen state related to nerve activity, including oxyhemoglobin concentration, deoxyhemoglobin concentration, blood oxygen saturation, etc. FMT provides fluorescence distribution images and kinetic parameter images, including fluorescence metabolism curves, permeability images, etc. The system has both high resolution of PAT andhigh sensitivity of FMT to realize imaging of cranial nerve activity.

The invention provides a magnetic resonance superconducting magnet for joint imaging. The superconducting magnet consists of superconducting positive coils (1, 2, 4) and superconducting negative coils (3), and all the coils are respectively axially-symmetrical solenoid coils taking a symmetry axis (7) as a center shaft. The superconducting positive coils (1, 2, 4) and the superconducting negative coils (3) are respectively arranged symmetrical about a symmetry plane (6), and are wound on the same skeleton; the superconducting magnet generates highly uniform magnetic field distribution in concentric spherical areas (8, 9, 10 and 11) with the four diameters of 100 mm, 120 mm, 140 mm and 160 mm respectively at central positions; and five Gaussian stray magnetic fields are respectively restricted in the ellipsoid ranges of 2.8 m and 3.8 m in the radial direction and the axial direction respectively. The magnetic resonance superconducting magnet for joint imaging adopts a single-skeleton structure, the assembly error of the magnet is reduced, and the liquid helium cavity volume of the superconducting magnet is reduced, and the using amount of liquid helium can be controlled within 30 liters.

The invention discloses a full-path compensation primary wave and multiple wave combined imaging method in a deep sea environment, and particularly relates to the field of marine geophysical exploration. The method comprises the following steps: establishing an observation system by inputting a speed field, a Q compensation parameter field and an actual observation gun record, inputting a seabed rugged surface elevation and an observation system file, generating an orthogonal skin grid, and converting the speed field and the Q compensation parameter field into a curved coordinate system; calculating a forward modeling operator, a primary wave and multiple wave joint accompanying operator and a demigration operator of a full-path Q compensation wave field under a rugged seabed condition based on deep sea environment characteristics, constructing a target functional of full-path Q compensation primary wave and multiple wave joint imaging, and solving a gradient; and calculating a full-path compensation primary wave and multiple wave combined imaging result under a curved coordinate system, converting the result into a Cartesian coordinate system, and outputting an imaging result. Theinfluence of the fluctuating seabed surface is eliminated, the primary wave and multiple wave information is fully utilized, and the imaging precision in the deep sea environment is improved.

A system and method are presented that facilitate imaging of the joints of the upper and lower extremities including, for example, the hip and shoulder as well as sections of the spine, among others. One embodiment of the invention includes a short bore cylindrical magnet with an imaging volume smaller than that of a comparable whole body system, an articulated table that allows placement of the joint to be imaged in the center of the magnet homogeneous volume while maintaining a high degree of patient comfort and openness. The gradient and RF coils may be positioned above and below the patient instead of 360 degrees surrounding the patient. A smaller RF and gradient coil is made feasible because of the reduced imaging volume.

The invention discloses a seismic wave joint imaging method and system. The seismic wave joint imaging method can comprise the steps of for an inclination angle domain common imaging point gather, separating diffraction energy and reflection energy in the inclination angle domain common imaging point gather, and thus obtaining a diffraction energy gather and a reflection energy gather; obtaining anormalization factor through normalization processing based on the diffraction energy gather and the reflection energy gather; performing stack imaging on the diffraction energy gather and the reflection energy gather to obtain a diffraction energy imaging profile and a reflection energy imaging profile; and obtaining a joint imaging profile based on the diffraction energy imaging profile, the reflection energy imaging profile and the normalization factor. The seismic wave joint imaging method can simultaneously represent a reflector and a diffractor more clearly and more accurately through joint imaging of reflected waves and diffracted waves.