79results about How to "No artifacts" patented technology

A system and method are provided for obtaining data that may be used to generate images of a brain or other bodily organ. The system can include a pair of detecting arrangements and a collimating arrangement associated with each detecting arrangement. A first collimating arrangement can include a cone-beam collimating arrangement having a focal point located within the brain or other organ being imaged. A second collimating arrangement can include a fan-beam collimating arrangement having a focal length selected such that the organ being imaged lies within its field of view to ensure data sufficiency. Cone-beam collimating arrangements having improved hole geometries can also be utilized to provide further increases in imaging sensitivity.

The present invention relates to an image fusion method, in particular to a multimodal image fusion method, especially a multi-modal image fusion method based on a generative adversarial network and asuper-resolution network. The method is carried out according to the following steps of designing and constructing the generative adversarial network, wherein the network structure adopts a conceiveddepth residual neural network, and obtaining a generating model through the dynamic balance training of a generator and a discriminator; constructing the super-resolution network based on the convolution layer; inputting the multi-band / multi-mode source image into the generating model to obtain the preliminary fusion image; and then inputting the image into the trained super-resolution network toget the final fusion image with high quality. The method realizes the end-to-end neural network fusion of multi-band / multi-mode images, avoids the difficulties of image multi-scale and multi-direction decomposition and fusion rule design based on prior knowledge, and realizes the adaptive network fusion.

Provided is an image splicing method and device. The method comprises the steps that position matching is performed on a first image and a second image based on a pyramid-structured normalized orthogonal correlation coefficient and sub-pixel estimation, and the first image and the second image are two adjacent images to be spliced; and an image splicing edge is confirmed according to the result of position matching, and splicing of the first image and the second image is completed along the image splicing edge. Rapid and high-efficiency image splicing can be realized by the technical scheme, and higher splicing precision can also be guaranteed.

A method for spraying to green a side slope of hard rock with joints being not developed comprises the steps of processing a slope surface, setting up a simple scaffold, using a compressed air drilling machine for drilling vegetative holes, filling nutrient soil in the vegetative holes, laying a metal net and binding vegetative strips, spraying and seeding matrix materials which can instantly make artificial soil with good water stability performance in the slope surface, and conducting necessary maintaining management in the seedling stage of plants. The method is a spray-seeding technology directing at the side slope of the hard rock with the joints being not developed, and common construction methods can not be implemented on the slope surface of the type. The method for spraying to green the side slope of the hard rock with the joints being not developed has the advantages of being simple, strong in operability, low in cost and suitable for various hard rock side slopes with the gradient less than 80 degrees. After spray-seeding, phytocoenosium is formed, wherein ligneous plants are mainly included, shrub and herbaceous plants are combined, the phytocoenosium is long lasting and stable, and is in harmony and consistency with the surrounding ecological environment, after closing of the plants, cultivating does not need any more, and the slope surface of the hard rock with the joints being not developed can be greened and beautified permanently.

The invention discloses an image deblurring method based on a multi-parameter regular optimization model. The image deblurring method comprises the following steps that combining a Tikhonov regular item with a Huber function to construct the multi-parameter regular optimization model, wherein the model is used for carrying out deblurring processing on an image; converting the multi-parameter regular optimization model into an augmented Lagrangian function form; and through an alternating direction minimization algorithm, solving the above augmented Lagrangian function, and reconstructing a total focusing image corresponding to an original defocusing image. By use of the image deblurring method which is put forward by the invention, a grayscale image, a text image, a non-text image and a low-illuminance image can be deblurred, and the recovered image contains richer detail textures and less distortion, is free from an artifact phenomenon and is clearer and more natural.

The invention provides an image fusion method and a device based on NSST and adaptive dual-channel PCNN. NSST is used as a multi-scale transform tool to decompose the image, NSST removes the sample operation in the decomposition phase, and has translation invariance, at the same time, a localize small size shearing filter can avoid spectral aliasing, so that the effect of image decomposition and reconstruction is better, using an adaptive simplified two-channel PCNN model with three kinds of link strengths, through three different link strengths, the features of the image are integrated, the infrared and visible images are fused effectively, the contrast is high, the texture information and detail information are well preserved, and the image transition is natural, no artifact phenomenon occurs.

The invention discloses an anterior cervical interbody fusion cage which comprises a main body and a development needle arranged on the main body, wherein the main body is a hollow tetrahedron; the cross section of the hollow periphery of the tetrahedron is ladder-shaped; the cross section of the hollow inner circumference of the tetrahedron is square or rectangular; the main body comprises a front wall, a rear wall, a left side wall and a right side wall; and the front wall is connected with the rear wall through the left side wall and the right side wall. The shape of the main body confirms to the anatomic form of the cervical intervertebral disc of a normal human body; while the safe implantation is ensured, the main body can be in tight contact with end plates of an upper cervical vertebral body and a lower cervical vertebral body under the compression state to create a good condition for bone fusion; and the cross section of the hollow inner circumference of the main body is square or rectangular, so that the contact surface of the main body and the end plates of the cervical vertebral bodies is increased to the greatest extent, the bone implementation amount is increased, and the fusion is speeded up.

The invention discloses a zirconium oxide tooth implantation system, and is characterized in that all devices are made of zirconium oxide. The system is divided into a one-stage type and a two-stage type. A one-stage type implantation body is provided with screw threads, the surface of a dentogingival part is smooth, and the body is combined with the base station integrally. The surface of the two-stage type implantation body has a smooth type and a screw-thread type, and the implantation body and the base station is embedded with each other by polyhedral angle and Moll's taper and is connected and fixed by the central screw nail. The invention has the following advantages that: the zirconium oxide implantation body without toxic side effect is capable of being integrated with alveolar bone; the total porcelain crown supported by the zirconium oxide base is attractive in appearance; and the zirconium oxide implantation teeth can resist the functionating of good occlusal force without influencing CT and nuclear magnetic imaging inspection.

The invention provides a medical CT (computed tomography) machine, which can realize the whole body scanning in a standing state. The medical CT machine comprises a scanning host machine, wherein the scanning host machine is provided with a scanning hole allowing a human body to enter, the scanning hole extends in a vertical direction for forming a human body accommodating cavity, and the scanning host machine is connected with an ascending and descending device used for driving the scanning host machine to ascend and descend. The direction of the human body accommodating cavity is the same as the human body supporting direction by the ground, so the human body can directly sand or sit on the ground, components for supporting the human body are prevented from entering the scanning hole, fake images cannot be generated, and the scanning agent quantity addition for generating clearer images is also not needed. When the human body is in the standing body posture, the symptoms such as knee joint standing pain only generated in the standing or sitting posture can be more really shown, the effective examination and pain part state confirmation can be conveniently carried out, the ascending and descending device can drive the scanning host machine to ascend and descend, different positions of the human body are scanned under the condition that the human body stilly stands, and the whole body scanning is realized.

The invention relates to a robust and comprehensive low-quality illumination image enhancement method based on Retinex, and belongs to the technical field of image processing. The method comprises thefollowing steps: firstly, introducing a bright channel to carry out preliminary estimation on a brightness image in a Retinex model; secondly, modifying global illumination intensity distribution through two morphological closed operators; then, correcting the artificial edge by using a guide filter to obtain an estimated illumination image; and finally, separating the illumination image in the original image by using a Retinex algorithm to obtain a high-quality illumination image. Compared with other enhancement methods based on Retinex, the method provided by the invention has the advantages that the enhancement effect is better, the brightness is more uniform after enhancement, artifacts are not generated, and an excessive sharp effect is not generated at the edge.

The invention belongs to the technical field of image processing, and provides a method and device for amplifying an ultrasound image. The method includes the steps that an original ultrasound image to be amplified is acquired; the high-frequency component of the original ultrasound image is decomposed according to a plurality of preset decomposition directions, so that high-frequency sub-band images in multiple directions are acquired; interpolation is conducted on the high-frequency sub-band image in each direction in the high-frequency sub-band images in the multiple directions, and the high-frequency sub-band amplified image in each direction is acquired; interpolation is conducted on the original ultrasound image, and an interpolation image of the original ultrasound image is acquired; frequency domain reconstruction is conducted on the acquired high-frequency sub-band amplified image in each direction and the acquired interpolation image of the original ultrasound image, and accordingly the amplified ultrasound image is acquired. The amplified ultrasound image can keep the details of the original image, ghosting-artifacts can be avoided, the medical clinic requirement can be met, and doctor diagnosis can be facilitated.

The invention provides a carbon fiber composite artificial bone and a preparation method thereof. The section of the artificial bone in a direction perpendicular to the length of the artificial bone is in a U shape, continuous carbon fiber woven fabric composite material layers and carbon fiber non-woven fabric composite material layers are stacked to form the artificial bone, and spaces among thecarbon fibers of the continuous carbon fiber woven fabric composite material layers and the carbon fiber non-woven fabric composite material layers are filled with carbon substrates. The carbon fibercomposite artificial bone has the advantages that the composite material is light in weight, good in biocompatibility, chemical stability and fatigue performance and high in designability, the mechanical property of the composite material is similar to that of a human bone, fake shadows are avoided and the like, hydroxylapatite is stably adhered onto gaps in the surface and the surface, so that biological activity of the composite material is improved, bone growth is facilitated, and bone proliferation is induced.

Degradation of the slice excitation characteristics is prevented by making it possible to modulate a high frequency magnetic field pulse on the basis of a gradient magnetic field response that is actually used. In order to do so, an imaging pulse sequence including first and second measurement sequences is executed. In the first measurement sequence, the same slice selection gradient magnetic field pulse as a slice selection gradient magnetic field pulse used in the second measurement sequence is used. The phase of a magnetic resonance signal measured by the first measurement sequence is differentiated, and the waveform of the high frequency magnetic field pulse is calculated using the result. In the second measurement sequence, a high frequency magnetic field pulse with the calculated waveform is applied together with the slice selection gradient magnetic field pulse, and a magnetic resonance signal for an image is measured.

The invention discloses a series of multi-layered dappled color changing glaze. The color changing glaze is composed of bottom glaze, middle glaze and surface glaze. The bottom glaze comprises: 15-20parts of medium temperature 1# lead-free frit, 15-20 parts of nepheline syenite, 35-40 parts of medium temperature 2# lead-free frit, 5-10 parts of quartz, 5 parts of calcium carbonate, 3 parts of barium carbonate, 10 parts of kaolin, and 3-6 parts of a coloring oxide or lead-free ceramic coloring material. The middle glaze comprises 40-45 parts of nepheline syenite, 15-20 parts of medium temperature 1# lead-free frit, 10 parts of calcined talcum powder, 8-10 parts of quartz, 15 parts of calcium carbonate, 7 parts of calcined zinc oxide, 5 parts of kaolin and 3-12 parts of a coloring oxide orlead-free ceramic coloring material. The surface glaze comprises 20-25 parts of nepheline syenite, 10-15 parts of boron silicate, 10-15 parts of low temperature lead-free frit, 8-10 parts of quartz, 15 parts of calcium carbonate, 3 parts of barium carbonate, 7 parts of calcined zinc oxide, 7 parts of glass powder, 10 parts of kaolin and 3-5 parts of vanadium pentoxide. A preparation method comprises preparation of three layers of glaze, glazing and firing. The product patterns have three-dimensional aesthetic feeling.

The invention provides a three-dimensional point cloud restoration method based on local smoothness and non-local similarity, and relates to the field of graph signal processing, and the method comprises the main steps: voxelization of point cloud, detection of point cloud holes, search of similar areas, matching of relative positions, and restoration of missing areas. According to the method, thecomplex geometric structure can be well repaired, the loss of the geometric structure is reduced, artifacts are not generated, and the repair fidelity is high.

The present invention provides a carbon fiber composite material bone fracture plate and a preparation method thereof. The bone fracture plate is composed of a continuous carbon fiber braided composite material layer and a carbon fiber nonwoven fabric composite material layer in a superposed manner; carbon fibers between the continuous carbon fiber braided composite material layer and the carbon fiber nonwoven fabric composite material layer are filled with a silicon carbide matrix or a silicon carbide-carbon matrix and hydroxyapatite. The composite material has characteristics of light weight, good biocompatibility, good chemical stability, mechanical properties close to human body bones, good fatigue, strong designability, no artifacts, etc., and besides, surface pores and surfaces are stably adhered with the hydroxyapatite which can improve biological activity of the composite material, promotes bone growth and induces bone proliferation.

The invention provides a TR (Transverse Rotation) tomography scan projection rearrangement method and device. The method comprises the steps of determining a projection region range of a parallel beamsinogram of an object according to a TR scan sinogram of the object and determining a coordinate of each unknown sample point in the parallel beam sinogram within the projection region range, whereinthe TR scan sonogram is obtained by scanning the object through utilization of a fan beam scanner; for any unknown sample point, carrying out coordinate conversion on the coordinate of the unknown sample point and mapping the obtained coordinate of the unknown sample point to a target coordinate position in the TR scan sinogram; and interpolating the TR scan sonogram, obtaining a gray value of the target coordinate position, and taking the gray value of the target coordinate position as the gray value of the unknown sample point. According to the method and the device, the parallel beam sonogram obtained through conversion according to the TR scan sinogram is relatively accurate, a sectional image obtained through CT reconstruction based on the parallel beam sonogram is smooth in edge, anartifact phenomenon is avoided, and accurate image reconstruction can be realized when a fan beam angle is relatively large.

The invention discloses a method for converting a high-resolution monocular 2D video into a binocular 3D video, and the method comprises the steps: training a convolution network of a U-shaped structure at a depth information extraction stage through employing a conventional 3D film as a source data set, obtaining a network model with excellent performances, and carrying out the frame-by-frame depth estimation of the 2D video; and performing edge-preserving smooth optimization processing on the depth map by using a small neural network. In the viewpoint synthesis stage, a camera-parameter-freeviewpoint synthesis algorithm based on a depth map is provided, and left and right virtual viewpoints are synthesized by adopting a symmetric strategy of rendering from the middle to two sides. And finally, in an image restoration stage, an image restoration algorithm based on block matching in combination with time domain information is proposed, and crack holes in left and right viewpoints arefilled and restored. According to the invention, 2D-to-3D video conversion can be carried out on an original 2D video without any related parameter information, so that not only can a high-resolutionpicture be effectively processed, but also the conversion effect is good and the conversion speed is high.

The invention provides a video signal processing method for improving image sharpness. The video signal processing method includes receiving an original image frame in a video signal to be processed, calculating complexity Lc and standard deviation Lv of a specific pixel neighborhood Omega, and describing gray level change frequency and amplitude of the neighborhood; according to the complexity Lc and the standard deviation Lv, establishing an increment function Lambada to dynamically adjust the image sharpness. The video signal processing method has the advantages that the image local change amplitude and frequency is considered, while details are added, artifacts never occur, noise amplification is depressed partly, and accordingly margins of the image are sharper, and texture of the image is clearer.

The invention discloses an image enhancement method based on deep learning, and the method comprises the steps: selecting an image shot by a professional photographer, enabling a professional retouching person to carry out the retouching of the image, constructing a neural network training data set, and dividing the neural network training data set into a training set Ttrain and a test set Ttest; adopting a U-Net neural network S(.) with global features; inputting an original image SINput subjected to data enhancement and priori illumination estimation I, and outputting enhanced Routput and Ioutput; randomly initializing related parameters such as weight parameters, learning rates and batch sizes in the neural network S(.); training the image enhancement neural network model by adopting an error back propagation algorithm, and calculating loss based on the weight map so as to obtain a depth image enhancement model. Compared with the prior art, the method has the advantages that the color is more natural, the method is more attractive, the contrast ratio is better, the difference between images modified by a professional image retoucher is smaller, the artifact phenomenon is avoided, the reasoning time is very short, and the method can be operated in real time at the ms level on equipment such as a mobile phone and the like.

The invention discloses a carbon fiber composite skull repairing patch and a preparation method thereof. The skull repairing patch is formed by overlapping at least one layer of carbon fiber woven cloth and at least one layer of carbon fiber non-woven cloth. Carbon fibers of the carbon fiber woven fabric and the carbon fiber non-woven fabric are filled with matrix carbon and / or silicon carbide; the skull repairing patch has the characteristics of light weight, good biocompatibility, good chemical stability, mechanical properties similar to those of human bones, good fatigue, strong designability, no artifacts and the like, and is particularly suitable for skull repair.

The invention discloses an underwater image enhancement and restoration method based on a convolutional neural network, and the method comprises the steps: degrading a plurality of conventional imagesthrough a to-be-processed underwater image, forming a training set through the plurality of conventional images and the corresponding degraded conventional images, and sequentially inputting the training set into the convolutional neural network for training; then, inputting the underwater image to be processed into the trained convolutional neural network, and outputting a first image; carryingout CIELAB color space transformation on the image, and extracting an L brightness channel, an A color channel and a B color channel of the image; and finally, performing texture enhancement on the to-be-processed underwater image, replacing the L brightness channel of the first image with the image after texture enhancement, and combining the image after texture enhancement with the A color channel and the B color channel in the first image to obtain a final image. According to the method, the problem of missing of underwater image training data is solved, complex calculation of a traditionalunderwater imaging model is avoided, and the quality of underwater images is well improved.

The invention relates to an angiography technology and an anatomy and casting technology of a body sample and specifically discloses a body sample angiographic filler and a preparation method thereof. The filler consists of E-51 epoxy resin, 2,4,6-tri(dimethylamino methyl) phenol (DMP-30), polypropylene glycol diglycidyl ether (D-1217), a T-31 epoxy resin curing agent and a metal oxide powder contrast agent (zinc oxide, titanium dioxide, cuprous oxide and chromium sesquioxide). The angiographic filler disclosed by the invention is simple to prepare, easy to regulate in concentration and color and hard to decolorize, and has the characteristics of being rapid in automatic coagulation, small in percentage of contraction, high in toughness, low in cost and the like. CT reconstruction of blood vessel images of a human body sample or an animal body sample (or organ) have the advantages of being clear, full, continuous, free of fake shadows and burrs and the like.

The invention prevents generation of artifacts due to variations in grid position between pre-imaging and imaging. Boundary lines at which values change from p / 2 to - p / 2 or from -p / 2 to p / 2 for the first phase differential image formed during pre-imaging without the subject and for the second phase differential image formed during imaging with the subject in place are determined, and first stair step data and second stair step data that change by p or - p each time a boundary line is crossed in a prescribed direction are respectively prepared. The first stair step data is added to the first phase differential image to form a first summed phase differential image and the second stair step data is added to the second phase differential image to form a second summed phase differential image. A corrected phase differential image is formed by subtracting the first summed phase differential image from the second summed phase differential image.

The invention belongs to the technical field of ultrasonic probes and discloses a control system and method of an ultrasonic probe capable of automatically smearing a coupling agent. The control system of the ultrasonic probe capable of automatically smearing the coupling agent comprises an ultrasonic image acquisition module, an operation module, a central control module, a calibration module, animage amplification module, a switch trigger module, a coupling agent injection module and a display module. The system monitors the compensation time difference of signal transmission in each transmission channel in real time through the calibration module; the time interval generated by current equipment is precisely monitored, and then alignment compensation is automatically carried out on each channel according to the compensation time difference; the convenience and use efficiency of clinical diagnosis of ultrasonic imaging equipment are improved, and the quality of ultrasonic diagnosisimages is improved; meanwhile, ultrasound images amplified by the image amplification module can maintain the details of original images, and pseudomorphism cannot occur; the medical clinical requirements are met, and convenience is provided for the diagnosis of doctors.

The invention discloses a skull repairing patch and a preparation method thereof. The skull repairing patch is formed by laminating one layer of carbon fiber knitted fabric and one or two layers of carbon fiber cloth, wherein the carbon fiber cloth is formed by overlapping carbon fiber woven cloth and carbon fiber non-woven cloth; matrix carbon and / or silicon carbide are / is filled between the carbon fibers of the carbon fiber knitted fabric and the carbon fiber cloth. The skull repair patch has the characteristics of light weight, good biocompatibility, good chemical stability, mechanical properties similar to those of human bones, good fatigue, strong designability, no artifacts and the like, and is particularly suitable for skull repair.

The invention discloses a multi-focus image fusion method, comprising the following steps: step 1, obtaining an initial confidence diagram P: firstly, obtaining the spatial frequency of each pixel ofa source image A and B, and then comparing the magnitude of the spatial frequency of the corresponding position, wherein the corresponding position with a larger value is set to 1, the corresponding position with a smaller value is set to 0, and finally obtaining 0-1 graph is the initial confidence graph P; 2, thin that initial confidence diagram P to obtain a final confidence diagram T: thinningthe initial confidence diagram P by mean of median filter, and then further thinning the initial confidence diagram P by small object removal measures to obtain a final confidence diagram T; 3, obtainthat fused image F: the final fuse image F is obtained by weighting and summing the final confidence graph T and the source image A and B. The invention can be insensitive to misregistration and caneffectively deal with the boundary effect problem between focusing and non-focusing.

The present invention is an embolization coil which is composed of a wire material made from an Au-Pt alloy and has good dimensional stability, wherein the wire material that constitutes the embolization coil has such a material structure that the composition of the wire material is composed of Pt at a concentration of 24% by mass or more and less than 34% by mass and a remainder made up by Au anda Pt-rich phase is distributed in an Alpha-phase matrix, the Pt-rich phase is composed of an Au-Pt alloy having a Pt concentration that is 1.2 to 3.8 times larger than the Pt concentration in the Alpha-phase, the wire material has a volume magnetic susceptibility of -13 to -5 ppm inclusive, and the average value of at least two average crystal grain diameters measured by a linear analysis methodin the material structure of a shorter-length-direction cross section of the wire material is 0.20 to 0.35 [mu]m inclusive.

The invention discloses a graphene cladded copper-base biological material as well as a preparation method and an application thereof. The graphene-packaged composite material contains copper and graphene, wherein the surface of copper is totally packaged with graphene. The material has a good cladding effect, the toxin introduced by copper can be eliminated, and the death of cells and the necrosis and edema of tissues are avoided. The material can be taken as an electrode, particularly a neural electrode and can be applied to an in vivo or in vitro signal recording such as the signal recording of neuronal discharging and / or local field potential change. The material and a commercial platinum-iridium alloy electrode do not generate an artifact in a nuclear magnetic resonance imaging technique, and the observation of the quality and an implementation position of a nuclear magnetic resonance is greatly assisted.