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GPU acceleration method of CT image reconstruction
InactiveCN101283913AReduce transmissionReduce transfer speedComputerised tomographsTomographyCt technologyReconstruction method
The invention relates to a CT image reconstruction method based on GPU hardware acceleration, which belongs to the field of X-ray CT technology. The software portion of the invention generally comprises a GPU-based CT data preprocessing module, a GPU-based CT data filter module, a GPU-based CT orthogonal protection module, and a GPU-based CT image reconstruction and back projection module. The method can achieve acceleration of CT image reconstruction algorithm by using GPU hardware, and the reconstructed portion and the data processing portion are achieved on GPU. The invention provides a segmentation processing method used for processing larger data, which aims to solve the prior problems of insufficient display memory of GPU and low data transmission speed from memory to the display memory. Different from prior methods, the segmentation processing method only needs a portion of projection data desired for each segment to be reconstructed, thus reducing data transmission and improving the entire reconstruction speed.
Owner:CAPITAL NORMAL UNIVERSITY
Multi-floor indoor structured three-dimensional modeling method and system based on laser point cloud
ActiveCN110189412AGood effectGuaranteed accuracyImage enhancementImage analysisPoint cloudComputer graphics (images)
The invention discloses a multi-floor indoor structured three-dimensional modeling method and system based on laser point cloud, and the method comprises the steps of carrying out the segmentation ofa connection region between floors based on a point cloud elevation histogram in a vertical direction after inputting the multi-floor point cloud; carrying out single-floor room segmentation on each floor, carrying out single-floor indoor space unit division based on vector wall surface lines, and carrying out vector indoor plane graph construction based on vector and grid superposition; and according to Boolean intersection, deleting an overlapping surface between the floor and the communication area, and establishing a multi-floor three-dimensional model. According to the method, through thehistogram segmentation of a peak value-valley-peak value strategy, a multi-floor indoor structure reconstruction problem is converted into a single-floor indoor reconstruction problem and an inter-floor communication space reconstruction problem; through the means of first segmentation and then local reconstruction, the multi-floor building indoor three-dimensional model can be rapidly and efficiently constructed, the point cloud data in the indoor complex environment can be better processed, and the indoor structured modeling requirement is met.
Owner:WUHAN UNIV
White matter fiber tract reconstruction method based on deep learning
InactiveCN106971410AReduce the impact of noiseImprove accuracyImage enhancementReconstruction from projectionFiberReconstruction method
The invention discloses a white matter fiber tract reconstruction method based on deep learning, which mainly aims at white matter fiber tract reconstruction. The method comprises the following steps: extracting signal sparsity features of a digital image in a training sample set; importing the signal sparsity features to a convolutional neural network for training, forwardly propagating the classification result, using a back propagation algorithm for the classification error, and getting a best network model; inputting extracted signal sparsity features of an image in a test sample set to a trained network model to get a final prediction result; and finally, describing the result into the orientation and distribution of white matter fibers through continuous curve fitting, and reconstructing a three-dimensional white matter fiber tract. Cross and forked white matter fiber tracts can be constructed accurately to provide help for the clinical research and physiological and pathological mechanisms of white matter fiber tracts.
Owner:SOUTH CHINA UNIV OF TECH
Method for three-dimensional reconstruction of straight-line optical flow field based on intelligent optimization algorithm
InactiveCN101697236ASolve the robustness problemTroubleshoot rebuild issuesGenetic modelsBiological neural network modelsMathematical modelPhysical model
The invention relates to a method for the three-dimensional reconstruction of a straight-line optical flow field based on an intelligent optimization algorithm, which is characterized by comprising the following steps of: shooting at least three continuous frames of images of an object in a scene by a fixed camera to form an image sequence, extracting the straight-line profile of the object in the scene and taking a straight line as a characteristic; under a perspective projection model, eliciting a relationship between the motion parameter of the straight-line profile of a moving rigid object in a 3D space and a two-dimensional straight-line optical field on a projection image of the moving rigid object, expressing the relationship by a straight-line optical flow equation group and constructing a physical model and a mathematical model of a three-dimensional reconstruction algorithm. The invention has the advantages of realizing the three-dimensional reconstruction and the moving target division of an object with a straight-line profile in a scene quickly, solving the problems of robustness of the three-dimensional reconstruction algorithm and reconstruction of a shielding boundary of the scene effectively and enhancing the accuracy of three-dimensional reconstruction effectively.
Owner:NANCHANG HANGKONG UNIVERSITY
Culture-heritage three-dimensional-scene generation system and method
InactiveCN103942828ATroubleshoot rebuild issuesHigh speedSpecial data processing applications3D modellingSensing dataBackground information
The invention discloses a culture-heritage three-dimensional-scene generation method which includes the following steps: step1: a culture-heritage remote-sensing data preparation step: obtaining geographic information data in a culture-heritage region and establishing a three-dimensional base database of the region; step2: a culture-heritage landform modeling and culture-heritage scene modeling step: obtaining texture and geometrical shape data of different objects in the culture-heritage region so as to generate a ground-object three-dimensional model of the region; step3: a culture-heritage three-dimensional spherical-system integrating step: obtaining building process data of the culture-heritage area and insetting landform and scene real-time measurement information of the area into the ground-object three-dimensional model according to a building process sequence and environment background information. The culture-heritage three-dimensional-scene generation method is capable of improving the speed and precision of large-scale culture heritage modeling and providing an integrated dynamic index of a culture-heritage single-body model and an environment model so that the method has complete management and update capabilities.
Owner:INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI
Method for acoustically reconstructing three-dimensional temperature field by taking regard of sound ray bending behavior
InactiveCN105241574ALarge measuring rangeHigh measurement accuracyThermometers using physical/chemical changesSpeed of soundMesh grid
Provided is a method for acoustically reconstructing a three-dimensional temperature field by taking regard of sound ray bending behaviors. The method includes the steps: arranging a plurality of sound wave transceivers on the surface of a three-dimensional hearth, dividing the hearth into n grids, wherein m effective sound wave paths form among the sound wave transceivers and penetrate the grids in the hearth; calculating the length when each path passes through the grids in a sound wave linear transmission condition, and forming a matrix L; measuring the transmission time of a sound wave on the paths, forming a matrix t, and reconstructing the acoustic velocity and temperature of the geometric centre of each grid; reconstructing a temperature field according to the obtained temperature, obtaining the sound ray track of each patch according to the Fermat principle, calculating the length when each path passes through the grids, and forming a reconstructed matrix L ' taking regard of sound ray bending; reconstructing the acoustic velocity and temperature of the geometric centre of each grid according to the matrix L ' and the matrix t; and repeating the above steps, and obtaining an accurate value that is gradually close to the temperature field through an iteration method. According to the method, a sound ray transmission path can be tracked, and the temperature field reconstruction precision is improved.
Owner:NORTH CHINA ELECTRIC POWER UNIV (BAODING)
Urban scene reconstruction method and system
ActiveCN106327576AQuick extractionSufficient and reliable extractionImage enhancementImage analysisImaging processingReconstruction method
The invention discloses an urban scene reconstruction method and system, and relates to the technical field of image processing. The method comprises the steps: firstly extracting sufficient and reliable candidate space planes from the spatial points of an urban scene image through employing a spatial plane fitting method based on connected domain detection; secondly distributing the candidate space planes for all segmented regions obtained through the segmenting of each urban scene image under the frame of minimum MRF energy. The method can iron out the defects that a conventional method is poor in reliability and not complete in reconstruction scene, and is higher in calculating efficiency.
Owner:ZHOUKOU NORMAL UNIV
Human body geometric reconstruction method based on Euler field deformation constraint
The invention discloses a human body geometric reconstruction method based on Euler field deformation constraint, and the method comprises the following steps: taking a target human body grid as a data source, extracting human body feature points through employing a random forest regression method, and obtaining a target human body skeleton node through calculation; driving the skeleton to deformby using the feature points, and driving the grid to deform by using an LBS method, so that the attitudes of the template model and the target model are roughly aligned; on the basis of a local fieldgenerated by the HRBF, performing rigid transformation driven by local shape difference; performing regional expansion and contraction based on local shape driving; based on SDF, optimizing a target energy function based on target data constraint, human body deformation constraint and level set characteristic constraint in an Euler field, calculating a deformation vector field to obtain an SDF deformation result, and according to the SDF deformation result, driving a template grid to be aligned with the shape of a target model, so that human body reconstruction is realized. According to the method, the robustness and efficiency of three-dimensional human body structural reconstruction are improved, and the requirement of performing human body reconstruction on rough data is met.
Owner:杭州同绘科技有限公司
Video stream motion vector calculation method
InactiveCN102831616AEnsure consistencyMaintain movement continuityImage enhancementTelevision system detailsMotion vectorVision based
The invention discloses an effective stream motion vector calculation method. The method is used for carrying out calculation on stream motion vectors by using two-frame images of a video stream, and aims to obtain the two-dimensional vector of a continuous stream motion. The method comprises the following steps: firstly, counting a histogram of an area at which each pixel is located, and by using a main component matching method for area histograms, completing the initialization on motion vectors; then, carrying out denoising processing on preliminary calculation results by using a multi-resolution sampling method; carrying out smoothing processing on the motion vector of a local module by using a statistical analysis method; and finally, carrying out further optimization on the motion vector so as to obtain a stream motion vector keeping the appearance consistency and the motion continuity. The method disclosed by the invention can be effectively applied to the three-dimensional reconstruction applications of stream, has a characteristic of practical applicability, and can solve the reconstruction problem of stream well; meanwhile, the method also can be further applied to the applications of virtual scene building, thereby solving the complexity problem of vision-based stream reconstruction.
Owner:EAST CHINA NORMAL UNIVERSITY
Distributed method for restoring SAR image based on ADMM
ActiveCN110244299ATroubleshoot issues that can't be rebuiltDownsamplingRadio wave reradiation/reflectionObservation matrixDistributed algorithm
The invention discloses a distributed method for restoring an SAR image based on ADMM. The method comprises the following steps: 1, constructing an observation matrix; 2, building an SAR image sparse information restoration model according to the observation matrix obtained in the step 1; 3, designing a distributed solution algorithm based on an ADMM algorithm for the SAR image sparse information restoration model obtained in the step 2 according to a variable grouping strategy; and 4, building the distributed solution algorithm based on the ADMM algorithm designed in the step 3 by utilizing a Spark platform, and finally obtaining the restored SAR image. A compressed sensing model is built by utilizing an information theory principle and a machine learning distributed algorithm; a sparse reconstruction target is solved through the distributed ADMM algorithm; the compressed sensing is combined with the machine learning distributed algorithm, so that the problem of reconstruction of the airborne SAR image in any motion state and large-scale scenes can be solved; and the method has very important theoretical and practical significances.
Owner:XI AN JIAOTONG UNIV
Reconstruction device and reconstruction method of digital elevation model
InactiveCN109946697ATroubleshoot rebuild issuesImprove practicalityRadio wave reradiation/reflectionRadarReconstruction method
The invention provides a reconstruction device and reconstruction method of a digital elevation model. The reconstruction device comprises an arc foundation interference radar, the arc foundation interference radar comprises a rotating platform and an antenna unit; the antenna unit comprises at least two antennas connected with the rotating platform, the continuous arc movement of the antennas isrealized through the rotating platform; the antennas are used for the simultaneous transceiving of the signal, a radar original echo of an observation target region is observed through the antennas, and the synthetic aperture imaging processing is performed, thereby acquiring a single-lock complex image of the imaging region; the height of the rotating plate is adjustable and used for acquiring asingle-lock complex image sequence of the observation target region under different heights, and acquiring an interference image sequences under different heights; the joint phase unwrapping processing is performed on multiple groups of acquired interference image sequences, thereby acquiring the unwrapped phase diaphragm and accomplishing the precise reconstruction of the digital elevation modelthrough the conversion between the phase and the elevation.
Owner:INST OF ELECTRONICS CHINESE ACAD OF SCI
Cone beam X-ray oral cavity tomography image algorithm
InactiveCN107657647AImprove image qualityTroubleshoot rebuild issuesImage enhancementReconstruction from projectionImaging algorithmReconstruction method
The invention discloses a cone beam X-ray oral cavity tomography image algorithm, and the algorithm comprises the following steps: (1), carrying out the discretization processing of a to-be-reconstructed image through a grid, and giving an initial value (shown in the description); (2), carrying out the projection of the image at each angle on the basis of the initial value (shown in the description), calculating and obtaining a projection simulation value, and building a projection coefficient matrix W; (3), carrying out the comparison of the projection simulation value calculated at step (2)and a real projection value at the same angle in a mutual constraint range of a POCS reconstruction method, obtaining a difference value, and carrying out the iterative correction of the pixel valuesof each grid of the image according to the difference value; (4), repeatedly carrying out step (3) till the iteration is finished, and obtaining a reconstructed image. The algorithm achieves the enhanced imaging effect and a three-dimensional reconstruction effect through the improvement of a conventional iteration algorithm.
Owner:JIANGSU MEILUN IMAGING SYST
A Sparse-Driven SAR Image Reconstruction Regularization Parameter Automatic Selection Method
InactiveCN105405100BImplement automatic selectionTroubleshoot rebuild issuesImage enhancementImage analysisPattern recognitionNoise suppression
Owner:SOUTHWEAT UNIV OF SCI & TECH
Method and device for reconstructing three-dimensional model from three views, equipment and storage medium
PendingCN114693874ATroubleshoot rebuild issuesAvoid restrictionsNeural architecturesNeural learning methodsTopology informationAlgorithm
The invention discloses a method and device for reconstructing a three-dimensional model from three views, equipment and a storage medium. The method comprises the following steps: acquiring a back projection of each two-dimensional edge in each view in a three-dimensional space; according to the back projection of each two-dimensional edge in each view in the three-dimensional space, three-dimensional candidate edges constructed by all points where the back projections of the three different views intersect are obtained; according to three-dimensional candidate edges constructed by all points where back projections of the three different views intersect, obtaining a ring of an actual surface formed by constructing the candidate edges through a deep neural network; and according to the ring of the actual surface formed by constructing the candidate edges through the deep neural network, obtaining a three-dimensional model obtained by fitting a parameterized model of the ring of the actual surface. According to the method, the problem of reconstructing the three-dimensional model from the three views in the CAD can be solved simply and efficiently, the limitation on the geometric shape type is avoided when the topological information of the object is recovered, and the application range is wider.
Owner:HANGZHOU QUNHE INFORMATION TECHNOLOGIES CO LTD
Method of lookup table size reduction for depth modelling mode in depth coding
InactiveCN106576169ATroubleshoot rebuild issuesDigital video signal modificationDepth map codingSize reduction
Owner:HFI INNOVATION INC
Compact CT detector image reconstruction method and device and storage medium
ActiveCN113303820AReduce volumeReduce quality problemsRadiation diagnostic image/data processingRadiologyIntensive care unit
The invention discloses a compact CT detector image reconstruction method and device and a storage medium, and the method comprises the steps: carrying out the circular scanning or spiral scanning of a to-be-detected object on a sickbed through a compact detector to obtain initial projection data; rearranging the initial projection data for sampling by a traditional detector through data rearrangement; carrying out weighting processing on the rearranged projection data; filtering the weighted projection data subjected to the weighting processing; and performing weighted back projection on the filtered projection data to obtain a reconstructed image. According to the method, the initial projection data are rearranged to be sampled by a traditional detector through data rearrangement, the pre-weighting and weighted back projection weights of an original filtered back projection reconstruction algorithm are changed, and on the basis of ensuring the performance of filtered back projection high-efficiency reconstruction, artifacts are effectively inhibited, and the quality of reconstructed images is improved. According to the invention, the size of the CT mobile system is reduced, and the compact detector is popularized and applied in clinical departments and intensive care units.
Owner:NANJING ANKE MEDICAL TECH CO LTD
Magnetic resonance image reconstruction method and system based on sharpness enhancement, medium and equipment
PendingCN114862984ATroubleshoot rebuild issuesImprove noise immunityImage enhancementReconstruction from projectionVisual inspectionMri image
The invention discloses a sharpness enhancement-based magnetic resonance image reconstruction method and system, a medium and equipment, and the method comprises the steps: collecting an undersampling observation signal, constructing a sparse signal reconstruction problem, and converting an unsuitable target problem into a constraint minimization problem; using an SL0 minimization method to solve a constrained minimization target problem with noise; analyzing deviation caused by artifacts in the noise data, and proposing a sharpness enhancement model based on deviation to correct the deviation; shape parameters are automatically adjusted through SURE; and performing double-loop iteration of MR image reconstruction, generating an initial reconstruction result in combination with a classical SL0 method, and correcting a noise error result through a deviation-based sharpness enhancement model to obtain an MR image. According to the method, the L0 minimization-based MR image reconstruction problem of the original NP-hard is solved, double circulation is designed, shape parameters are automatically adjusted by using SURE, and the method has good performance in the aspects of objective quality indexes and visual inspection.
Owner:SOUTH CHINA UNIV OF TECH +1
Method for three-dimensional reconstruction of straight-line optical flow field based on intelligent optimization algorithm
InactiveCN101697236BSolve the robustness problemTroubleshoot rebuild issuesGenetic modelsBiological neural network modelsMathematical modelPhysical model
Owner:NANCHANG HANGKONG UNIVERSITY
Sparse constraint SAR image reconstruction regularization parameter GCV golden section automatic search algorithm
InactiveCN106056538ASmall amount of calculationImplement automatic selectionGeometric image transformationSearch algorithmSelection method
The invention discloses a sparse constraint SAR image reconstruction regularization parameter GCV golden section automatic search numerical computation method. During regularization image reconstruction, selection of regularization parameters is a very important issue; for the selection of the nonquadratic regularization parameters, a conventional selection method is limited; and in order to obtain a high-quality reconstructed image, the regularization parameters are always selected manually. In order to solve the problems above, the invention provides the sparse constraint SAR image reconstruction regularization parameter GCV golden section automatic search numerical computation method on the basis of studying the GCV method. The beneficial effects of the method are that automatic selection of the sparse constraint SAR image reconstruction regularization parameters is realized; calculation amount in calculating the sparse constraint SAR image reconstruction regularization parameters is small through the method, and a better balance is kept between noise suppression and feature preservation; and a more reasonable reconstructed image can be obtained.
Owner:SOUTHWEAT UNIV OF SCI & TECH
Method and system for urban scene reconstruction
ActiveCN106327576BQuick extractionSufficient and reliable extractionImage enhancementImage analysisImaging processingReconstruction method
The invention discloses an urban scene reconstruction method and system, and relates to the technical field of image processing. The method comprises the steps: firstly extracting sufficient and reliable candidate space planes from the spatial points of an urban scene image through employing a spatial plane fitting method based on connected domain detection; secondly distributing the candidate space planes for all segmented regions obtained through the segmenting of each urban scene image under the frame of minimum MRF energy. The method can iron out the defects that a conventional method is poor in reliability and not complete in reconstruction scene, and is higher in calculating efficiency.
Owner:ZHOUKOU NORMAL UNIV
Depth estimation-based HDR image reconstruction based on underexposure LDR image
PendingCN113971639ATroubleshoot rebuild issuesImage enhancementImage analysisPattern recognitionData set
A digital camera can only capture the brightness of a real scene in a limited range. Due to quantization and saturation of a camera sensor, texture details in high dynamic range (HDR) data are lost, and great difficulty is brought to subsequent image-based application (depth estimation and the like). As an index of the HDR image reconstruction effect, the depth estimation error caused by the incorrect hue reflected in the LDR image can support the improvement of the learning efficiency of the HDR image generation network. Therefore, an end-to-end framework composed of two connected CNNs is provided, and the end-to-end framework is used for solving the key problem in HDR image reconstruction. A large number of quantitative and qualitative experiments are carried out on benchmark and recently published challenging data sets, and it is proved that compared with the latest single-image HDR reconstruction and depth estimation algorithm, the proposed method achieves extraordinary performance.
Owner:TIANJIN UNIV
An Industrial Cone Beam CT Reconstruction Method in Offset Scanning Mode
ActiveCN110517330BTroubleshoot rebuild issuesExpanded imaging field of viewReconstruction from projectionMaterial analysis using wave/particle radiationRadiologyNuclear medicine
Owner:BEIHANG UNIV
Video stream motion vector calculation method
InactiveCN102831616BEnsure consistencyMaintain movement continuityImage enhancementTelevision system detailsMotion vectorStatistical analysis
The invention discloses an effective stream motion vector calculation method. The method is used for carrying out calculation on stream motion vectors by using two-frame images of a video stream, and aims to obtain the two-dimensional vector of a continuous stream motion. The method comprises the following steps: firstly, counting a histogram of an area at which each pixel is located, and by using a main component matching method for area histograms, completing the initialization on motion vectors; then, carrying out denoising processing on preliminary calculation results by using a multi-resolution sampling method; carrying out smoothing processing on the motion vector of a local module by using a statistical analysis method; and finally, carrying out further optimization on the motion vector so as to obtain a stream motion vector keeping the appearance consistency and the motion continuity. The method disclosed by the invention can be effectively applied to the three-dimensional reconstruction applications of stream, has a characteristic of practical applicability, and can solve the reconstruction problem of stream well; meanwhile, the method also can be further applied to the applications of virtual scene building, thereby solving the complexity problem of vision-based stream reconstruction.
Owner:EAST CHINA NORMAL UNIV
Device and method for measuring optical parameter field of diffuse medium based on time-frequency optical information fusion
ActiveCN109632718BTroubleshoot rebuild issuesHigh precisionScattering properties measurementsTransmissivity measurementsDielectricLight-field camera
A device and method for measuring the optical parameter field of a diffuse medium based on time-frequency optical information fusion. The invention belongs to the technical field of optical imaging. In the existing simultaneous reconstruction process of the distribution of the absorption and scattering coefficients of the diffuse medium, the reconstruction using the measurement signal of a single model has the problems of less measurement data and low reconstruction accuracy of the optical parameter field. The invention includes: using a light field camera with a microlens array to respectively obtain radiation intensity information in various directions of the boundary of the diffuse medium under the action of frequency-modulated laser and pulsed laser, and by simulating the transmission process of infrared radiation in the dispersed medium under the action of frequency-modulated laser, the preliminary obtained The reconstructed image of the optical parameter field inside the medium under the frequency domain model is used as the initial optical parameter field of the time domain model. By simulating the infrared radiation transmission process in the dispersed medium under the action of pulsed laser, the internal structure of the dispersed medium is obtained. Using the method of the invention can complete the reconstruction of high-precision optical parameter field.
Owner:HARBIN INST OF TECH
A distributed method of sar image restoration based on admm
ActiveCN110244299BTroubleshoot issues that can't be rebuiltDownsamplingRadio wave reradiation/reflectionPattern recognitionInformation recovery
A distributed method for SAR image restoration based on ADMM provided by the present invention includes the following steps: step 1, constructing an observation matrix; step 2, constructing a SAR image sparse information restoration model according to the observation matrix obtained in step 1; The SAR image sparse information recovery model obtained in step 2 designs a distributed solution algorithm based on the ADMM algorithm according to the strategy of variable grouping; step 4, uses the Spark platform to build the distributed solution algorithm based on the ADMM algorithm designed in step 3, and finally The recovered SAR image is obtained; the present invention utilizes the principle of information theory and machine learning distributed algorithm to establish a compressed sensing model, and solves the sparse reconstruction target through a distributed ADMM algorithm, and the present invention combines the compressed sensing of the SAR image with the machine learning distributed algorithm, It is of great theoretical and practical significance to be able to solve the problem of airborne SAR images in any motion state and reconstruction of large-scale scenes.
Owner:XI AN JIAOTONG UNIV
Lung CT image parameter reconstruction method and system based on deep learning, terminal and storage medium
PendingCN112017136AHigh-resolutionImprove application efficiencyImage enhancementImage analysisFeature learningRadiology
The invention provides a lung CT image parameter reconstruction method and system based on deep learning, a terminal and a storage medium. The method comprises the steps: inputting an obtained lung CTimage into a preset progressive up-sampling skeleton network model, and outputting a feature image; inputting the feature image into a 3D convolutional neural network model, wherein the 3D convolutional neural network model is a convolutional neural network model composed of an intra-pulmonary branch, an extra-pulmonary branch and a pulmonary mask branch; classifying each pixel of the feature image through the lung mask branches, determining an intrapulmonary part and an extrapulmonary part, and performing classification marking; respectively inputting the intra-pulmonary part and the extra-pulmonary part of the feature image into the intra-pulmonary branch and the extra-pulmonary branch for feature learning to generate an intra-pulmonary image and an extra-pulmonary image; combining thegenerated images of the intrapulmonary branches and the extrapulmonary branches to form a complete CT generated image; conversion of different parameters of the CT image is realized by using a deep learning technology.
Owner:HANGZHOU SHENRUI BOLIAN TECH CO LTD +1
A Human Body Geometry Reconstruction Method Based on Euler Field Deformation Constraints
The invention discloses a human body geometry reconstruction method based on Euler field deformation constraints, comprising the following steps: taking a target human body grid as a data source, extracting human body feature points by using a random forest regression method, and calculating to obtain a target human body skeleton node; Point-driven skeleton deformation, using LBS method to drive mesh deformation, so that the template model and the target model pose roughly aligned; based on the local field generated by HRBF, perform rigid transformation driven by local shape difference; perform regional expansion based on local shape driving and shrinkage; based on SDF, optimize the target energy function in the Euler field based on target data constraints, human body deformation constraints, and level set characteristic constraints, calculate the deformation vector field to obtain the SDF deformation result, and drive the template grid and target accordingly. The shape of the model is aligned to achieve human reconstruction. The invention improves the robustness and efficiency of the three-dimensional human body structural reconstruction, and satisfies the needs of human body reconstruction for rough data.
Owner:杭州同绘科技有限公司
Image reconstruction method, reconstruction device and storage medium of compact CT detector
ActiveCN113303820BReduce volumeReduce quality problemsRadiation diagnostic image/data processingMedicineReconstruction method
The invention discloses a compact CT detector image reconstruction method, a reconstruction device and a storage medium. The method comprises the steps of: using a compact detector to perform circular scanning or helical scanning on an object to be detected on a hospital bed to obtain initial projection data; Data rearrangement rearranges the initial projection data into traditional detector sampling; weights the rearranged projection data; filters the weighted projection data after weighting processing; performs weighted back projection on the filtered projection data to obtain reconstruction image. The present invention rearranges the initial projection data into traditional detector samples through data rearrangement, changes the pre-weighted and weighted back-projection weights of the original filtered back-projection reconstruction algorithm, and effectively suppresses pseudo to improve the quality of the reconstructed image. The invention is helpful for reducing the volume of the CT mobile system and promoting the application of compact detectors in clinical departments and intensive care units.
Owner:NANJING ANKE MEDICAL TECH CO LTD
Low-dose CT image reconstruction method
PendingCN111724452AAvoid reconstructed image artifactsReduce radiation doseReconstruction from projectionImage basedImaging technology
The invention belongs to the technical field of medical CT imaging, and particularly relates to a low-dose CT image reconstruction method. When a traditional algorithm is used for reconstructing sparse low-dose CT scanning data, interference information such as sparse artifacts or noise exists in a reconstructed image due to data incompleteness, and therefore subsequent clinical diagnosis is affected. The invention provides a low-dose CT image reconstruction method. The method comprises the steps of performing image pixel-based feature extraction on a prior image; constructing a sparse prior matrix by using the extracted pixel features; and adding the priori matrix into an orthographic projection process of sparse low-dose scanning data statistical iterative reconstruction, wherein an iterative result is an output reconstructed image of the algorithm provided by the invention. The high-quality CT image is obtained on the premise of greatly reducing the radiation dose.
Owner:NAT INST OF ADVANCED MEDICAL DEVICES SHENZHEN
Acoustic reconstruction method of three-dimensional temperature field in furnace considering sound ray bending behavior
InactiveCN105241574BLarge measuring rangeHigh measurement accuracyThermometers using physical/chemical changesTransceiverPropagation time
An acoustic reconstruction method for the three-dimensional temperature field in a furnace considering the bending behavior of sound rays. Several acoustic transceivers are arranged on the surface of the three-dimensional furnace, and the furnace is divided into n grids, and m effective acoustic paths are formed between the acoustic transceivers , passing through each grid inside the furnace. Calculate the length of each path passing through each grid in the case of straight-line propagation of sound waves to form a matrix L. The propagation time of the sound wave on each path is measured to form a matrix t, and the sound velocity and temperature at the geometric center point of each grid are reconstructed. Reconstruct the temperature field according to the obtained temperature, use the Fermat principle to obtain the sound ray trajectory of each path, and calculate the length of each path passing through each grid to form a reconstruction matrix L' considering the sound ray bending. Then, the sound velocity and temperature at the geometric center point of each grid are reconstructed from the matrix L' and matrix t. Repeat the above process, and use the iterative method to gradually approach the precise value of the temperature field. The invention can track the propagation path of the sound ray, and improves the reconstruction accuracy of the temperature field.
Owner:NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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