A Method of 3D Reconstruction of Medical Images Based on Neighborhood Topology

Abstract

The invention discloses a method for three-dimensional reconstruction of medical images based on neighborhood topology. Load the original medical image sequence, obtain the contour of the image to be calibrated and its contour image, construct four probability parameters and obtain the target threshold. Read the pixel information to build a cube set, judge the relationship between the gray value of the cube vertices and the target threshold, and pre-classify them into topological similarity and topological change according to the distribution characteristics of the vertices; topological similarity, if there is no topological change in its neighborhood, then Using the moving cube algorithm, if there is a topology change, use the transition algorithm for topologically consistent processing of shared surfaces; for topology changes, use the moving tetrahedron algorithm divided by the topology specified method and the topology difference method. The invention integrates the moving cube algorithm and the moving tetrahedron algorithm, avoids the ambiguity of the contour topological connection, ensures the accuracy, significantly reduces the calculation amount, and improves the online three-dimensional reconstruction speed of the medical image sequence.

Description

technical field [0001] The invention belongs to the field of combination of medicine and engineering science, and relates to a processing method of a geometric structure model in the process of medical image processing and three-dimensional reconstruction. Background technique [0002] A medical image sequence usually refers to a sliced ​​parallel image sequence describing a medical object. The acquisition method can be computerized tomography (Computed Tomography, CT), ultrasonic imaging (Ultrasonic Imaging, UI), magnetic resonance imaging (Magnetic Resonance Imaging, MRI), Nuclear Medicine Imaging (NMI), Doppler Flow Imaging (DFI), Positron Emission Tomography (PET), Single Photon Emission Computed Tomography (Single PhotonEmission Computed Tomography, SPECT) and so on. The precision and accuracy of reconstruction of 3D medical tissue from 2D medical image sequences directly determine the effect of medical analysis and diagnosis. The reconstructed three-dimensional geome...

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Problems solved by technology

Gyezuec et al. (Gyezuec A, Taubin G Lazarus F, et a1. Converting sets of polygons to manifold surfaces by cutting and stitching / / Proceedings of the Conference on Visualization'98, 1998: 383-390.) of IBM Corporation in the United States proposed to combine vertices and The repair algorithm of edge segmentation and stitching repairs non-manifolds by copying non-manifold edges and vertices, and then glues these copies according to a certain strategy. As one of the most representative repair algorithms, the algorithm is simple A good trade-off between the mesh and close to the original model, and depending on the glue strategy can produce meshes with different geometric look and feel, but the repair effect for some special cases is not good

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