62results about How to "Simplify the rebuild process" patented technology

The invention relates to a method and a device for registering 2D projection images of an object relative to a 3D image data record of the same object, in which, from just a few 2D projection images, a 3D feature contained in an object, which is also identifiable in the 3D images, is symbolically reconstructed. The 3D feature obtained in this way is then registered by 3D-3D registration with the 3D image data record.

The invention relates to a method for restoring a wireless link by a terminal and a network after wireless link failure occurs in a distributed cellular wireless communication system, comprising the following steps: the terminal selects a cell after the wireless link failure occurs, and then sends wireless resource control connection reconstruction request to the cell; the cell responds a wireless resource control connection reconstruction message to the terminal, and the reconstruction message instructs the terminal to restore wireless configuration corresponding to a source cell or a targetcell stored by the terminal; and the source cell can be a service cell. After restoring the wireless configuration, the terminal returns a response message to the cell. According to the method, when the terminal returns to the source cell (service cell), target cell or a prepared cell after the wireless link failure occurs, the RRC reconstruction process can be simplified, thus shortening the time for restoring a control plane and a user plane, and improving the performance of the system.

The invention concerns a method and magnetic resonance apparatus for acquisition and generation of a time-resolved image series of an anatomical organ with a quasi-periodical movement in a subject, k-space is sampled in segments with a number of partial data sets, with the sampling points of each partial data set corresponding to grid points of a Cartesian sampling grid of a k-space segment, and the Cartesian sampling grids of the k-space segments being rotated relative to one another. A series of sub-data sets is incompletely acquired for each partial data set using alternating sampling schemes. Each incomplete sub-data set is associated with one of the individual images. For at least some of the partial data sets, complete sub-data sets are reconstructed from the incomplete sub-data sets. For the reconstruction of the individual images, in each of the individual images, at least some of the complete sub-data sets that are associated with this individual image are used.

The invention discloses a frequency domain registration and convex set projection-based super-resolution reconstruction method. The method comprises the following steps of: reading a multi-frame image, selecting a reference frame serving as registration, and registering the image to obtain relative displacement of each frame of image, wherein a frequency domain-based rapid registration algorithm is used as the registration algorithm; performing super-resolution reconstruction on the multi-frame image by using a convex set projection method according to the relative displacement of each frame; and finally outputting the image, wherein a video sequence sampling speed is high and the displacement of neighboring frames is small, so that by the method, the registration process is simplified, and the translational motion is estimated by using intermediate frequency domain information of the image and the rotation angle is not estimated to greatly reduce the amount of operation of the registration algorithm. Meanwhile, by the method, the convex set projection reconstruction method is simplified, the entire amount of operation of the super-resolution algorithm is greatly reduced by only using high-brightness amplitude constraint of the image and apriori constraint of a Gaussian point spread function, and the reconstruction quality can be guaranteed.

In a method for magnetic resonance imaging using a partial parallel acquisition technique with a non-Cartesian occupation of k-space, a number of antennas disposed around an imaging volume for reception of magnetic resonance signals and the magnetic resonance signals in the imaging volume are spatially coded by magnetic gradient fields, such that k-space for each antenna is only incompletely occupied with magnetic resonance signals with at least one trajectory proceeding around the origin of k-space. From the reception signals of each antenna, missing sample values of the trajectory that lie on a straight-line segment extending from the origin are determined in k-space according to a weighting with weighting factors from sample values of the trajectory that likewise lie on the straight lines, such that each k-space is completely occupied. A partial image of the imaging area is generated from each completely occupied k-space by means of a Fourier transformation. An image of the imaging volume is generated from the partial images.

The invention relates to a face three-dimensional reconstruction method and device, an electronic device and a storage medium, and belongs to the technical field of computers. The method comprises thesteps of obtaining an initial three-dimensional face model and a face image; performing face recognition on the face image to obtain face posture data; acquiring projection parameters of equipment ofthe face image and three-dimensional coordinates of all vertexes of the initial three-dimensional face model according to the face posture data, and acquiring two-dimensional coordinates of all the vertexes projected to an imaging plane of the equipment under the posture corresponding to the face posture data of the initial three-dimensional face model; and performing texture mapping processing on the initial three-dimensional face model according to the two-dimensional coordinates of each vertex and the face image to obtain a three-dimensional face model of the face image. According to the method, the reconstruction process is simplified, the calculation amount is small, and the three-dimensional face reconstruction efficiency is improved.

Method for producing a rotation-compensated image sequence allowing simplified reconstruction of the translation of a camera by real time rotation compensation of images recorded sequentially by an electronic camera randomly displaced in a scene and provided with a rotation sensor resulting from an association of color and / or brightness values of the pixels of a camera pixel field indicated by rectangular coordinates.

The invention discloses a method and system for realizing artificial intelligence medical system based on VR model. The method comprise: S1 Import CT image file, S2 reconstruct an image according to that CT image file, S3, after image reconstruction, inputting into a CNN convolutional neural network to obtain image segmentation of the affected area and S4 generates a surface model according to thespatial information, S5 imports the surface model into a virtual reality environment, and S6 renders the result in real time in the virtual reality environment. The invention can further simulate theoperation of various treatment means on the model, thereby changing the medical image reading mode in the prior art and carrying out operation planning, thereby greatly reducing the treatment risk. The invention adopts artificial intelligence algorithm based on neural convolution network, which can accurately, more effectively and more separably screen and segment the image of the affected part.

The invention discloses a camera calibration method and system for object three-dimensional geometrical reconstruction, and belongs to the technical field of computer image processing. The method includes the following steps: arranging one or more coded calibration mold plates in a scene containing a to-be-reconstructed dimensional object; picking serial images of the to-be-reconstructed dimensional object through a camera; processing the image sequence and obtaining the image coordinate of each calibration point in each visible calibration mold plate; and obtaining the camera calibration parameters according to the image coordinates. The system comprises a group of camera calibration mold plates, the camera and a camera calibration processing unit, wherein the camera calibration mold plates can be arranged around the to-be-reconstructed object; and the camera calibration processing unit is used for conducting image analysis, geometrical processing and camera calibration on the serialimages and obtaining the camera calibration parameters. The method and system can be used for the technical field of computer vision, computer image processing, three-dimensional geometrical modeling, and the like.

The invention discloses a method of reconstructing and optimizing data in a solid-state drive; the method comprises: in reading the solid-state drive, if a reading anomaly occurs, detecting state parameters recorded in the solid-state drive, judging fault type of the reading anomaly; selecting from a preset sequence group, a characteristic sequence corresponding to the fault type; adjusting reading voltages sequentially according to configuration parameters in the characteristic sequence, wherein reading is executed after each adjustment; if reading is successful, returning reading results, repeating the reading operation if reading fails until all characteristic sequences are executed, and returning reading results. Reasons of the reading anomaly are analyzed and counted, the fault type is judged via a corresponding detection method, the characteristic sequences corresponding to the fault type are adjusted specifically, the optimizing process is simplified, and accuracy and efficiency are improved. The invention also discloses a device of reconstructing and optimizing data in a solid-state drive.

The invention discloses an optical three-dimensional imaging method based on a voxel and an adaptive optical transmission model. With the method, a problem that an optical three-dimensional imaging reconstruction result can not be obtained until tedious organ segmentation and grid discretization are carried out in the prior art can be solved. According to the invention, a voxel physical model and an adaptive optical transmission mathematic model are combined organically; and a complete sparse regularization objective function is constructed and solved to realize optical three-dimensional imaging of a targeting object in vivo. The method comprises steps of data acquisition and pretreatment, voxel-based physical model construction, adaptive optical transmission mathematic model construction, system equation establishment based on enriched function fusion, objective function establishment based on a sparse regularization strategy and a prior feasible region, and objective function and display result solution. Therefore, the provided method has characteristics of high efficiency and easy usage; and an inaccurate three-dimensional imaging result due to an error caused by uncontrollable factors in organ segmentation and grid discretization can be avoided. The method can be applied to the in-vivo optical three-dimensional imaging field.

The invention relates to a data fault tolerance method applicable for a cluster system; when check data is constructed and generated, a data block is transferred to a data reproduction processor from the data stored in a disk driver of a storage unit array; through an exclusive OR operation, the check data is generated and written out to a corresponding check data block, or the data in the data block and the data in the check data block are operated and written out to a corresponding data block. When the data is lost caused by the physical damage of the disk or other causes, the data in the undamaged data block of a connecting relation chain is read to a data regeneration manager and operated to generate lost data; therefore, the reproduced and lost data is written to corresponding data block of a corresponding backup disk or an original data storage data block position, thereby realizing the regeneration and reconstruction of the lost data. Through implementing the invention, the data in a damaged disk of a disk array is restored and reconstructed in time; further the lost data in a single disk or a plurality of disks are reproduced or regenerated in the disk array.

Methods and apparatus relating to intermediate system recovery to reduce the required amount of computational resources and network bandwidth to recover an intermediate system after an operational failure. The intermediate system conceals its operational failure from neighboring systems and queries them for information sufficient to simplify the reconstruction of its routing information. The intermediate system can interoperate with existing neighbor intermediate systems that have not implemented the invention allowing the benefit and convenience of incrementally deploying embodiments of the present invention. Embodiments of the present invention include but are not limited to intermediate systems that use IS-IS and BGP protocols.

In a magnetic resonance apparatus and a method for the operation thereof, a pulse sequence is employed that is composed of a number of pulse sequence segments, each including an excitation procedure and a readout procedure. For each of a number of slices of an examination subject that are to be simultaneously excited, the pulse sequence segment is repeated, as a pulse sequence segment pair, with a prephasing gradient pulse being generated between the respective excitations in the respective segments of the pair. The prephasing gradient is configured to cause a gradient moment for all gradients between the respective centers of the respective excitations to be zero. The respective rephasing gradient pulses in each pair of segments are similar, and the respective excitation pulses have different phases.

Method for producing a rotation-compensated image sequence allowing simplified reconstruction of the translation of a camera by real time rotation compensation of images recorded sequentially by an electronic camera randomly displaced in a scene and provided with a rotation sensor resulting from an association of color and / or brightness values of the pixels of a camera pixel field indicated by rectangular coordinates.

The invention relates to an image super-resolution reconstruction method based on deep learning iteration up-down sampling. The method comprises the following steps: preparing an original high resolution image, performing bicubic interpolation on the original high-resolution image to obtain a low-resolution image, inputting the low-resolution image into a constructed neural network; extracting low-resolution image features; extracting high-resolution image features layer by layer through upper-lower sampling modules of a plurality of back projection layers, so that the interdependence relationship between the low-resolution image and the high-resolution image can be mined more, wherein the convolution in the neural network adopts cavity convolution to increase a receptive field, so the sensitivity of the network to feature information is improved, dense connection is introduced to reduce information loss caused by intermediate layer transmission, low-layer feature information can be better utilized, and the performance of image reconstruction is improved.

A reduced size CT scanner for baggage inspection has a wide angle x-ray source and multiple sets of detectors at different distances from the x-ray source. The detectors in each set are sized and positioned to maintain consistent pitch and flux levels among all detectors. Conventional reconstruction processes can be used to process the data from the CT scanner. The scanner may also be incorporated into a check-in desk in a network of scanners.

The present application relates to an image quality evaluation method, an apparatus, a computer device and a storage medium. The method comprises the following steps of: acquiring a plurality of images to be evaluated; obtaining a blood vessel image of interest according to the image to be evaluated and a segmentation threshold; performing image quality evaluation according to the blood vessel image of interest. Independent of the interaction of artificial interface, the blood vessel of interest can be detected and extracted automatically, and the image quality of blood vessel can be analyzedautomatically. It not only simplifies the process of coronary artery reconstruction, but also saves the time for doctors to evaluate the parameters of image selection.

The invention discloses a multi-perspective three-dimensional reconstruction method and device of a removable historical relic, and thus the three-dimensional reconstruction process of the removable historical relic can be simplified and the processing process is faster. The method comprises the following steps: obtaining two groups of images of a historical relic to be subjected to three-dimensional reconstruction, wherein one of the two groups of images need to be obtained together with a measurement control panel, the two groups of images are obtained by utilizing a camera to shoot the historical relic on different support benches at different places, when the first group of images of the two groups of images are shot, the top portion of the historical relic is not contacted with the support bench, where the historical relic locates, and when the second group of images of the two groups of images are shot, the bottom portion of the historical relic is not contacted with the support bench, where the historical relic locates; generating a part of dense point cloud of the historical relic according to the two groups of images; constructing a three-dimensional coordinate system according to a plurality of control points on the measurement control panel; merging the part of dense point cloud in the three-dimensional coordinate system to generate a dense point cloud of the historical relic; and reconstructing a three-dimensional model of the historical relic according to the dense point cloud of the historical relic.

The invention belongs to the technical field of medical diagnosis, and discloses an automatic molecular protein-molecule diagnosis system. The automatic molecular protein-molecule diagnosis system comprises a protein detection module, a DNA detection module, a main control module, a DNA sequencing module, a cancer cell detection module, an expert analysis module, a data storage module and a display module; the detection method of the protein detection module includes: drawing a protein molecule outer boundary contour line and an internal tissue edge line according to grayscale or texture characteristics of magnetic resonance or computed tomography voxel data. According to the automatic molecular protein-molecule diagnosis system provided by the invention, DNA sequencing can be carried outrapidly, accurately and at cost through the DNA sequencing module; meanwhile, cancer cells in the peripheral blood can be simply detected in a short time through the cancer cell detection module; anddetection data can be analyzed more professionally through the expert analysis module, and the reliability of a detection result is guaranteed.

The embodiment of the invention discloses an image processing method and device, and a storage medium. The image processing method is applied to the image processing device, the image processing device comprises a CIS, the CIS comprises a sub-wavelength pixel unit provided with at least three PD columns with three different size parameters, and the method comprises the steps of obtaining originaldata corresponding to incident light, wherein the original data comprises RGB data corresponding to the sub-wavelength pixel units, and one sub-wavelength pixel unit corresponds to one group of RGB data; determining color data corresponding to the incident light according to the RGB data; and obtaining a color image corresponding to the incident light according to the color data.

The invention belongs to the technical field of medical equipment, and discloses an intelligent orthopedic surgery system. The intelligent orthopedic surgery system is provided with a preoperative detection module, an intra-operative intelligent control module, an intra-operative intelligent operation module, an intra-operative detection module and a postoperative conditioning solution module. Thepreoperative detection module, the intra-operative intelligent control module, the intra-operative intelligent operation module, the intra-operative detection module, and the postoperative conditioning solution module are sequentially executed, and the intra-operative intelligent control module and the intra-operative intelligent operation module are the same level programs. The required operative procedure is input by the intra-operative intelligent control module, and the surgical operation is performed by the intra-operative intelligent operation module. The surgical progress and the change of a surgical trauma along the operation are monitored by the intra-operative monitoring module to control the surgical trauma during the operation, and after the operation is completed, the postoperative conditioning solution module provides a suitable and accurate postoperative conditioning solution. The intelligent orthopedic surgery system has concise steps, the surgical trauma can be controlled after the operation is completed and the trauma is greatly reduced, and the adapted surgical conditioning solution can be given in time.

The invention discloses a method for monitoring multimedia data based on index, the steps are as follows: indices between a transmitted multimedia data identification number and corresponding multimedia characteristic data is established at a server terminal; the indices include data package numbers, data types or index data; the data package number means the multimedia data identification number that is received or transmitted; the data type means the type of the multimedia data package, the index data means the multimedia characteristic data corresponding to the data package number; after feeding back the multimedia data identification number corresponding to the false multimedia data package to the server terminal, a receiving terminal looks for the multimedia characteristic data corresponding to the multimedia data identification number in the indices of the server terminal and monitors multimedia service performance according to the multimedia characteristic data. By establishing the indices, the invention simplifies the reconstruction process of the multimedia data, thus being favorable for monitoring the multimedia service performance to more than one receiving terminals at the server terminal simultaneously.