84 results about "Isosurface" patented technology

The invention provides a narrow gap swing laser welding pool wettability prediction method based on CFD simulation. The method comprises the following steps that an interaction platform is constructed through Python + PyQt5, and geometric modeling, UDF compiling and a material library module are integrated; the groove parameters and the swing track are dynamically loaded to a Fluent solver, and a full-coupling transient model of a steam recoil pressure-buoyancy-molten drop mass source item is established; in CFD-POST, the widest section of the molten pool is positioned on the basis of the contour surface with the volume fraction being 0.5, and Z-direction displacement-flow velocity data are extracted along the two side wall surfaces; fusing defects are predicted through double criteria of a bilateral average flow velocity difference threshold value and F test variance homogeneity; according to the method, dynamic quantitative evaluation of wetting behaviors can be achieved, the process development period is shortened, the defect detection rate is increased, and the method is suitable for aerospace thick plate welding quality control.

A computer-implemented process for creating 3D objects from 2D images includes receiving an input image, conditioning a generative model using image-derived, voxelized three-dimensional features, generating, by a transformer-based rectified-flow generative model parameterized as a base network optionally coupled to one or more low-rank adapter modules activatable at inference, a volumetric latent of the target object, the volumetric latent including a sparse, feature-augmented volumetric lattice obtained by transporting an initial random sample toward a learned manifold via a rectified-flow sampling process, decoding the volumetric latent by mapping the volumetric latent to a feature-bearing sparse volumetric field consistent with the volumetric lattice, decoding the field to a continuous implicit surface function, and extracting a watertight mesh by isosurface extraction, estimating camera-pose parameters by render-and-compare alignment between silhouettes rendered from the mesh and silhouettes of the input image, and, performing style-preserving inverse rendering on the mesh that updates UV-space albedo and material maps.

The invention provides a video point cloud data fusion and curved surface reconstruction method based on a digital twin scene, and belongs to the technical field of video processing. Then, inertial data is mapped to a Lie group manifold space, and a continuous trajectory model is constructed by using B spline fitting; based on the model, accurately calculating a first pose transformation matrix at the exposure moment of each row of pixels and a second pose transformation matrix of each laser point; then, projecting the point cloud to a global coordinate system by using the second matrix, and generating multi-dimensional feature mapping data of space-time registration by combining the first matrix, the internal reference and a perspective principle; and finally, inputting the data into a voxelization truncated symbol distance field, synchronously updating a distance value and a color weight, and generating a high-fidelity digital twin three-dimensional curved surface by extracting a zero level set contour surface.

The invention provides an underground engineering leakage three-dimensional detection method, which comprises the following steps of: arranging a three-dimensional electrode system on an outer side and an inner side drill hole of a to-be-detected underground enclosure structure, and detecting and recording potential data and space coordinates of an electrode array; repeatedly collecting and preprocessing the collected potential data to eliminate the influence of current intensity difference and stratum conductivity difference; based on the physical coupling relationship between the electric field intensity and the formation resistivity, filling the data blind area of the inter-hole area; the three-dimensional space model of the electric field intensity is optimized and fitted through an intelligent algorithm, a three-dimensional equal-straight-plane image of the electric field is generated after data reliability is verified, and space coordinates of an electric field abnormal area are marked as suspected leakage points. The problems that in an existing detection method, positioning is not accurate, and the applicability is limited are solved.

The invention relates to the technical field of radiation environment monitoring, and discloses a dose calculation method and system based on radiation environment monitoring data. The method comprises the following steps: acquiring radiation source data, calculating initial radiation field distribution based on the data, obtaining an initial dose deposition value of each space point in a monitoring area, analyzing interaction among particles, and determining an energy redistribution coefficient of each space point; adjusting the initial dose deposition value point by point by using the coefficient to obtain corrected three-dimensional dose concentration field data, calculating a gradient vector between spatial points, and generating an optimized gradient distribution diagram; extracting a boundary point set with gradient change exceeding a threshold value, constructing a contour surface grid to form a three-dimensional contour surface structure, obtaining a time sequence radiation source data iteration updating coefficient, and obtaining a concentration field time sequence evolution sequence; the high-concentration area is identified and marked based on the sequence, the high-concentration area and the three-dimensional contour surface structure are fused, a visual distribution model reflecting the dose concentration is generated, and the accuracy of radiation dose calculation is improved.

The invention discloses a three-dimensional scene reconstruction method for obtaining real three-dimensional data based on simple shooting, and the method comprises the steps: 1, carrying out the surrounding video shooting of a target object through a camera of a cellphone, and obtaining the video data containing the target object; 2, decomposing the video data into a plurality of image sequences according to frames, and optimizing the image sequences to generate an original image sequence; 3, performing streaming segmentation on the original image set frame by frame to obtain a mask sequence of the target object, and obtaining a foreground image sequence according to the mask sequence; step 4, performing camera pose estimation on the original image set; step 5, inputting the foreground image sequence and corresponding camera internal and external parameters into a 2DGS model to generate an initial three-dimensional scene; and step 6, performing fine processing on the generated three-dimensional scene, generating a color map and a depth map in the 2D three-dimensional scene for mapping a voxel network, and extracting a contour surface on the voxel network to obtain a final three-dimensional scene.

The invention discloses a virtual reality level simulation method based on a material point method and gridding surface reconstruction, and belongs to the crossing field of computer graphics, physical simulation and virtual reality technologies. The method comprises the following steps: S1, classifying and storing position coordinates of material points according to material numbers of the material points, and traversing the coordinates to obtain a boundary of a bounding box of the material points; s2, selecting a grid size and a boundary extension distance for reconstructing the surface in a self-defined manner, and generating a grid; s3, selecting a Gaussian function to calculate the contribution of each substance point to the overall substance point density field, and obtaining parameters; s4, calculating the contribution of each substance point to the overall substance point density field, and performing accumulation to obtain the overall substance point density field; and S5, obtaining a contour surface of the overall material point density field, and exporting the contour surface as a rendering engine general three-dimensional model to obtain a simulation visual effect. According to the method, the problems that in the prior art, tens of millions of substance points cannot be processed, reconstruction parameters are difficult to select, and connection with a high-end rendering engine is not smooth can be solved, and the virtual reality level simulation visual effect is achieved.

The invention relates to the technical field of intelligent design of optical lenses, and discloses a multi-series superposed complex periodic structure arrangement method and system.The method comprises the steps of normalized coordinate transformation, multiple sine wave superposition, an iterative function system, a Julia set algorithm, an LSystem grammar system, parameter adjustment, moire fringe fusion and the like; and a complex periodic structure with high complexity, adaptability resistance and natural morphological characteristics is generated. Advanced technologies such as logarithm uniform distribution wave number generation, a chaos game algorithm, linear mapping complex number conversion, a turn graph interpreter, multi-scale entropy complexity quantification and an Otsu automatic threshold method are adopted, and accurate parameterization control and manufacturing adaptation are achieved. The system comprises a coordinate transformation module, a wave interference calculation module, a fractal generation module, a complex power system module, an LSystem processing module, a parameter control module and a contour surface extraction module. According to the invention, a systematic solution can be provided for complex structure design of optical devices such as myopia prevention and control lenses.

A method and system provide for extracting an isosurface. A set of sampling lattices are created based on a sampling resolution and a region of interest. The set of lattices cover a scalar field and are tiles made up of shapes. The scalar field is evaluated based on the set of sampling lattices to generate a value for each tile, convert the values to cells, and assign an index to each cell. For each cell, the index is utilized to identify, in a lookup table, an enumerated shape. For each identified enumerated shape that contains an isosurface crossing, an isosurface connection is estimated between new points of edges of the identified shape. A mesh is created to connect the new points and utilized as the extracted isosurface.

The invention discloses an end-to-end field optimization surface reconstruction method based on Gaussian sputtering guidance, and belongs to the field of computer vision and computer graphics. Comprising the following steps: 1) Gaussian guidance field optimization: defining an implicit symbol distance field by using a parameterized MLP network, and initializing and optimizing a surface through a microcosmic contour surface extraction method; gaussian units are bound with the extracted surface triangular patches, the positions of the patches are parameterized through the vertexes of the patches, rotation and scaling are carried out, regularization constraints based on the minimum wrapped ellipse and the distribution entropy are introduced, it is ensured that the Gaussian units are accurately attached to the surface and evenly distributed on the surface, and a result obtained through rendering guides field optimization. And 2) local multi-resolution: identifying surface voxels based on the optimized symbol distance field to carry out adaptive octree subdivision so as to realize multi-resolution improvement. And 3) adopting an inner and outer double-layer cyclic training architecture, optimizing the symbolic distance field and the grid geometric parameters on the outer layer, and optimizing a bound Gaussian unit on the inner layer to realize end-to-end joint optimization of surface geometry and Gaussian rendering.

The invention relates to the technical field of medical image calculation, in particular to a heart three-dimensional polygon mesh construction method and system, and the method comprises the steps: firstly obtaining and registering an image, generating an inductor density and a signed distance field based on boundary features, and fitting anatomic anchor points; determining a patient specific three-dimensional domain through mass conservation transmission and homeomorphic deformation; constructing pull-back measurement in the domain, solving three groups of harmonic functions, extracting contour surfaces according to common area constraint, and intersecting to form a network; deformation and harmonic functions are taken as joint unknown quantities, synchronous optimization is carried out in combination with pixel consistency, physical consistency and topological consistency, and the density of the inducer is re-weighted by layer area deviation feedback until convergence. According to the method, the surface net with consistent anatomy, controlled topology and balanced layer is output, and the method is adaptive to diagnosis, treatment and simulation application.

The invention discloses a cellular morphology recognition method and system for pathological analysis, and relates to the technical field of cellular morphology recognition, a feature screening module is used for calculating a morphological analysis direction tensor field, and a first fusion feature and a second fusion feature are obtained through a depth sequence model Transform and a plane sequence model Transform respectively; a multi-head attention mechanism is used for screening the first fusion features and the second fusion features to form screened fusion features, a regulation and control execution module is used for performing contour surface analysis on the direction tensor field to obtain an interlayer equidistant surface sequence, and spiral angle mapping is performed to obtain a reference spiral direction field; and generating a planar spiral layout map and executing variable density spiral network regulation and control. According to the recognition system, through organic combination of multi-dimensional feature fusion, dynamic grid construction and spiral space regulation and control, the pathological analysis capability which is accurate and accords with cell physiological morphological characteristics is realized.

Systems and methods are provided for scanning a dental impression to obtain a digital model of a patient's dentition as an input to computer aided design (CAD) and computer aided manufacturing (CAM) methods for producing dental prostheses. Systems and methods are provided for scanning a physical impression of a patient's dentition and constructing a virtual surface image of the patient's dentition from the scan data thereby obtained. The virtual surface image of the patient's dentition is constructed using isosurfaces and density gradients of a volumetric image and then directly creating a surface image based upon void spaces that correspond to the patient's dentition.

This application belongs to the field of image processing and relates to a skin extraction method and system. The method includes: performing nonlinear regression fitting on the prior anatomical features of skin tissue in historical oral images to obtain a skin cutting threshold; acquiring a CBCT image of the oral cavity to be processed; extracting boundary features from the cross-sectional image layers of the CBCT image to be processed based on the skin cutting threshold to obtain a dynamic candidate masking region feature map; applying inter-layer geometric consistency constraints to the dynamic candidate masking region feature map to generate a target skin masking region; extracting the original pixel values ​​within the target skin masking region and suppressing their background values; performing isosurface evolution processing on the suppressed original pixel values ​​to generate an isosurface grid; and performing patch validity screening on the isosurface grid to generate the skin extraction result. This application can reduce the interference of irrelevant data on the extraction result during the skin extraction process and ensure the quality of skin tissue extraction as much as possible.

The invention discloses an automatic reconstruction method and system for an isogeometric topology optimization result editable model, and the method comprises the following steps: obtaining an isogeometric topology optimization result, and obtaining hypersurface model data; extracting contour lines of each layer in a layered manner according to a set density threshold; arranging seed points through the contour line, dividing a background tetrahedral mesh, and deeply searching a mesh edge crossing a density threshold value; judging a corresponding relation between the contour lines, executing different reconstruction strategies according to different corresponding relations, and generating an NURBS curved surface by using an automatic skin technology and an adaptive fitting technology respectively; the contour lines at the opening are identified, the position relation between the cut area and the contour lines is determined, and cutting operation is executed to obtain a cut curved surface; and integrating the NURBS curved surface and the cutting curved surface, and outputting an editable entity. According to the method, the complexity of extracting the contour surface of the optimization result is effectively reduced, the precision of the result model is effectively improved, and the result has the advantages of editability and modifiability.

A kind of open pit model dynamic updating method based on real-time positioning of excavator and SDF belongs to the technical field of digital mine. The initial pit triangular mesh model is voxelized to generate a three-dimensional symbolic distance field based on the definition of vertical coordinate symbol. The three-dimensional positioning data of the center of rotation of the excavator is collected in real time through the GNSS-RTK positioning module, and the working state is judged based on the preset time window and displacement threshold. When the excavator switches from displacement state to digging state, a spherical mining influence domain is constructed with the current positioning data as the center of the sphere and the maximum digging radius as the radius, and the voxel symbol distance field value in the domain is set to 0. A control point set is constructed by boundary constraint points and background constraint points, and global symbol distance field smoothing reconstruction is realized by using radial basis function interpolation. The zero value isosurface is extracted by moving cube algorithm to generate the updated pit model. The present application realizes high-frequency model updating synchronized with operation, has low deployment cost and strong robustness, and solves the problems of model updating lag and visualization penetration.

The present application relates to the field of additive manufacturing, and specifically discloses a kind of generation method of manufacturing three-dimensional Chinese character cup model based on energy driving.The present application constructs the smooth time evolution path from multiple outline initial region to single target outline, adopts level set function to describe the outline evolution process, and establishes energy functional including curve length regularization term, adaptive inflation term and shape prior term;Through introducing the dynamic coupling control mechanism based on area difference of region, shape error and boundary length, the adaptive adjustment of inflation coefficient is realized;Then the level set evolution equation is obtained by variational derivation, and after numerical discrete solution, two-dimensional evolution sequence is added to three-dimensional volume field along time axis;Finally, through isosurface extraction and thick shell processing, the 3D printable three-dimensional Chinese character cup model with complete structure and uniform wall thickness is generated.

This application relates to the field of 3D geological modeling technology and provides an automatic generation method for 3D geological models based on contour lines and maximum posterior probability. The method includes: acquiring the contour lines of the geological body to be modeled within a target area; discretizing the contour lines to obtain a set of 3D discrete points; acquiring the observed values ​​corresponding to the set of 3D discrete points, the variance of the observed value error at the spatial location of each discrete point, and the two-dimensional prior normal vector at each discrete point; constructing an objective function based on the acquired observed values, the variance of the observed value error, and the two-dimensional prior normal vector, with the goal of maximizing the posterior probability distribution of an implicit function; iteratively solving the objective function using the expectation-maximization algorithm to obtain the optimal implicit function; using the gradient of the implicit function to characterize the attitude of the geological body to be modeled; extracting the target isosurface of the optimal implicit function, and using the target isosurface as the 3D geological model of the geological body to be modeled. This application can improve the accuracy of 3D geological modeling.

The invention provides a scanning path generation method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining an initial three-dimensional model of a to-be-scanned object, determining a plurality of rolling ball feature points from the initial three-dimensional model, constructing an equivalent curved surface model according to the plurality of rolling ball feature points, and generating a scanning path according to a cutting distance corresponding to a target scanner, cutting the equivalent curved surface model to obtain a cutting curve of the equivalent curved surface model, acquiring pose information of a sampling point on the cutting curve and a visual angle orientation of the target scanner at the sampling point, and generating a scanning path of the target scanner according to the pose information and the visual angle orientation of the sampling point, and enabling the target scanner to scan the to-be-scanned object based on the scanning path to obtain a scanned three-dimensional model. The scanning path is obtained through direct planning, better robustness is achieved, the equivalent curved surface model is generated for the scanning object with abrupt change characteristics such as holes, the change trend of the abrupt change characteristics is reserved, and the scanning path planning success rate is increased.

The application discloses a kind of tropical cyclone temperature body structure calculation method and system, wherein the method includes: based on satellite microwave detection data and tropical cyclone position information, the three-dimensional temperature data of tropical cyclone area is smoothed, and temperature grid with tropical cyclone center as origin is formed.Three-dimensional temperature anomaly value is calculated according to the smoothed temperature grid.Based on three-dimensional temperature anomaly value, three-dimensional region growth method is used to extract tropical cyclone warm core main area.Based on the extracted tropical cyclone warm core main area, the isosurface is calculated using Marching Cubes algorithm.According to the isosurface, the light model is rendered to draw the three-dimensional visualization structure of tropical cyclone warm core.Based on the three-dimensional temperature anomaly value of tropical cyclone warm core main area, the tropical cyclone warm core intensity index is calculated.Thus, the application effectively solves the problem of insufficient overall understanding of tropical cyclone temperature structure in the prior art, and provides the ability of systematic quantitative analysis.

The invention discloses a digital mine three-dimensional twinborn model construction method and device and a medium, and relates to the technical field of digital twines.The digital mine three-dimensional twinborn model construction device comprises a voxel fusion module, a geological intelligent deduction module and a model construction module, and the geological intelligent deduction module is used for conducting spatio-temporal evolution on a mine area structure to obtain twinborn model constraint parameters; the geological intelligent deduction module comprises a topology analysis unit, a dynamic deduction unit and a constraint quantization unit; the topology analysis unit is provided with an FPGA board card, isosurface extraction is carried out on the initial snapshot of the underground structure, confidence estimation is carried out, and a mine three-dimensional structural body is obtained. According to the method, topological relation analysis, finite element analysis and multi-physics field coupling deduction are executed in the FPGA board card, so that the mechanical stability of the twin model in a complex stress field and a seepage field is improved. Through a PLAXIS simulation engine and a constraint quantization unit, constraint and correction of the twin model are realized, and the intelligent evolution ability of the twin model is improved.

The application discloses a two-dimensional Gaussian splash three-dimensional reconstruction method based on multi-model cooperation, and comprises the following steps: acquiring multi-view RGB images, outputting camera parameters and sparse point clouds by using a VGGT model, generating a depth map and a mask map by using a monocular depth estimation network and an image segmentation network, performing dense processing by using a visual shell algorithm, initializing a two-dimensional Gaussian primitive by using the dense point cloud, training the initialized two-dimensional Gaussian primitive, re-rendering depth maps of all views, generating a three-dimensional grid by using a truncated signed distance function and an isosurface extraction algorithm, performing grid optimization on the three-dimensional grid based on local bilateral filtering to obtain a smooth grid, performing scale correction on the smooth grid to obtain a three-dimensional model with a real scale, and generating a comprehensive three-dimensional model with high-fidelity geometry, a real scale and new-view rendering capability through the initialization and optimization strategy based on multi-model cooperation.

The present application relates to the field of three-dimensional modeling, and relates to a method and system for reconstructing a three-dimensional model of an intestine. A three-dimensional voxel model of the intestine is constructed. For each voxel edge of the three-dimensional voxel model of the intestine that intersects an isosurface, an intersection point of the isosurface and the voxel edge is obtained, and a vertex of each voxel sharing the voxel edge is calculated according to a preset method. If the vertices corresponding to the voxels sharing the voxel edge are all in a plane, the distances of the intersection points to the plane are calculated, and the area of a region formed by the vertices is calculated. An isosurface fitting mode is determined according to a ratio of the distances to the area. The isosurface is fitted according to the determined isosurface fitting mode, and the isosurface extraction of the intestine is completed. The generated three-dimensional surface of the intestine is smoothed and then rendered and displayed on a display device. The present application makes the extraction of the isosurface of the intestine more accurate, and the three-dimensional model of the intestine more realistic.

A virtual reality level simulation method based on material point method and gridding surface reconstruction belongs to the cross field of computer graphics, physical simulation and virtual reality technology. The steps are as follows: S1, storing the material point position coordinates according to the material point material number, and obtaining the bounding box boundary of the material point by traversing the coordinates; S2, defining and selecting the grid size and boundary extension distance for reconstructing the surface, and generating the grid; S3, selecting a Gaussian function to calculate the contribution of each material point to the overall material point density field, and obtaining the parameters; S4, calculating the contribution of each material point to the overall material point density field, and accumulating to obtain the overall material point density field; S5, obtaining the isosurface of the overall material point density field, and exporting it as a general three-dimensional model of a rendering engine to obtain a simulation visual effect. The method can solve the problems that the prior art cannot process ten million material points, the reconstruction parameter selection is difficult, and the connection with a high-end rendering engine is not smooth, and realizes a virtual reality level simulation visual effect.

A method for detecting a stress state-of rocks surrounding a roadway based on three-dimensional electric potential response is disclosed. By collecting electric potential data, and performing spatial interpolation on all the electric potential measurement points to obtain a three-dimensional electric potential imaging volume, three-dimensional electric potentials can be used to draw electric potential isosurface models. By using a radial basis function surface interpolation method to draw a three-dimensional abnormal electric potential inversion probability isosurface model, it is possible to intuitively visualize electric potential distribution spatial characteristics of rocks surrounding a roadway, so as to clearly display a spatial range, direction and development trend of abnormal stress zones, and accurately identify and determine the stress states of roadway rock formations.

The invention relates to the technical field of tunnel face surrounding rock grading in railway construction, and provides a drilling and blasting method tunnel face surrounding rock three-dimensional refined grading method based on a seismic wave reflection method, which comprises the following steps: collecting three-dimensional inversion dot matrix data of an area in front of a tunnel face; the data coordinate system is converted into a tunnel design coordinate system, the surrounding rock basic quality index BQ value of each point is calculated according to the wave velocity, and a space BQ value dot matrix database is generated; performing spatial region division on the BQ value dot matrix by adopting a three-dimensional region self-growth method to obtain a connected region with similar BQ value characteristics; after the representative value of the region boundary is determined, using a Marking Cubes algorithm to extract contour surfaces to construct a surrounding rock three-dimensional grid model; and finally, mapping the model vertex BQ value with a preset grading standard, and outputting a three-dimensional refined grading model with a surrounding rock grading label. Automatic processing and three-dimensional visualization of surrounding rock classification are achieved, and classification accuracy and construction decision reliability are improved.

The application discloses a three-dimensional isosurface extraction and quantification method and system for aviation emissions, comprising obtaining flight trajectory data, constructing a three-dimensional voxel grid, mapping emission data to corresponding spatial voxels, and then constructing a three-dimensional emission field; the three-dimensional emission field is divided into a plurality of voxel blocks, the local state code of the voxel block is obtained, the edge set in the voxel block crossed by the isosurface is determined according to the local state code; the intersection position of the edge and the isosurface is calculated, and a three-dimensional isosurface grid is obtained; the minimum value and the maximum value of the emission field are obtained according to the three-dimensional emission field, and the emission threshold is determined, each emission threshold corresponds to an isosurface of the emission; the geometric parameter characteristics of the isosurface are calculated. The application aims to solve the problems of insufficient geometric accuracy, single structure recognition and lack of depth quantification in the prior art.

The application discloses a graph contour detection method and device, a storage medium, equipment and a program product, which can be applied to various scenes such as map, location data processing, trajectory data processing and image processing. The method comprises the following steps: obtaining interest surface data and check-in data, each interest surface in the interest surface data containing a corresponding interest surface contour and a geographic location identifier, and the check-in data containing check-in geographic identifiers; calculating a kernel density estimation value corresponding to each interest surface in the interest surface data for a target location point according to a corresponding relationship between the geographic location identifier and the check-in geographic identifier and the interest surface data and the check-in data; generating an isogram of the kernel density estimation value, and generating a plurality of isosurfaces according to the isogram; determining a target isosurface from the plurality of isosurfaces; and detecting an abnormal interest surface contour according to an intersection and union ratio index between a contour of the target isosurface and the interest surface contour, so that preliminary automatic screening can be realized, the labor operation cost of detection is reduced, and the data optimization efficiency is improved.

This invention provides a three-dimensional quantitative analysis and visualization method and system for aortic diameter expansion velocity based on longitudinal imaging data, applicable to the field of data processing. This application uses baseline and follow-up longitudinal aortic CTA images as the data source. Preprocessing includes spatial resampling and intensity normalization. The aortic lumen is extracted through medical image segmentation, and a voxel mask is generated. Then, the isosurface is reconstructed using the traveling cubes algorithm, and two sets of triangular surface mesh models are obtained through smoothing, cropping, repair, and remeshing. Using the baseline mesh as the source and the follow-up mesh as the target, topologically identical geometric matching is achieved through non-rigid registration. The centerline is extracted, and the point-by-point diameter is calculated. Combined with the follow-up time, three-dimensional quantitative data of the global diameter expansion velocity is obtained. Finally, multi-morphological visualization of expansion velocity and risk stratification is achieved through color mapping, 3D printing, and two-dimensional planar unfolding, constructing a complete three-dimensional quantitative analysis system for the aorta.

This application discloses a method, system, apparatus, storage medium, and electronic device for three-dimensional model reconstruction. Relating to the field of image processing, the method includes: acquiring a set of voxel data collected by a scanning device in a target to be reconstructed during the current scanning phase; the set of voxel data includes voxel data after voxelizing the set of location points collected by the scanning device; determining a first isosurface based on the voxel data set, and determining an incremental voxel data set based on the first isosurface; the first isosurface representing the internal structural surfaces of the target to be reconstructed, and the incremental voxel data set including voxels within the first isosurface; fusing the incremental voxel data set with historical incremental voxel data sets corresponding to historical scanning phases to obtain a target voxel data set; and reconstructing the internal structure of the target to be reconstructed based on the target voxel data set. This application solves the problem of low reconstruction accuracy in related technologies that perform a one-time full surface reconstruction of the target to be reconstructed.