Medical image three-dimensional reconstruction method based on neighborhood topology

Abstract

The invention discloses a medical image three-dimensional reconstruction method based on neighborhood topology. And loading an original medical image sequence, obtaining a to-be-calibrated image contour line and a contour line image thereof, and constructing four probability parameters to obtain a target threshold. Reading pixel information to construct a cube set, judging the size relationship between the gray values of cube vertexes and a target threshold value, and pre-classifying the cube vertexes into two types of topological similarity and topological change according to vertex distribution characteristics; if topological changes do not exist in the neighborhood of the topological similarity class, a moving cube algorithm is adopted, and if topological changes exist, a transition algorithm of common plane topological consistency processing is adopted; and for the topology change class, a mobile tetrahedron algorithm divided according to a topology specified mode and a topology dissimilar mode is adopted. According to the method, a moving cube algorithm and a moving tetrahedron algorithm are fused, ambiguity of isoline topological connection is avoided, precision is guaranteed, the calculated amount is remarkably reduced, and the online three-dimensional reconstruction speed of a medical image sequence is increased.

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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