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

A medical image and three-dimensional reconstruction technology, applied in the field of combining medicine and engineering science, can solve problems such as poor repair effect, reduce the amount of calculation, improve the speed of online three-dimensional reconstruction, and improve the adaptability.

CN110610478BActive Publication Date: 2021-05-25ZHEJIANG UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Publication Date
2021-05-25

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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.
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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...

Examples

specific Embodiment

[0064] Step 1: Taking the human radial styloid process and ulnar styloid process as three-dimensional reconstruction medical objects, initially set the threshold as the gray value of the periosteum and several thresholds similar to the gray value, and select 130HU, 135HU, 140HU, 145HU and 150HU is used as the initial threshold;

[0065] Step 2: Collect and load the original skeletal medical image frame sequence of the 3D reconstructed medical object, select the 121-layer CT image, and select the CT image to be calibrated in the original skeletal medical image frame sequence, the CT image contains the complete 3D reconstructed medical object Contour, according to the threshold set in step 1, use the moving square algorithm (Marching Squares, MS) to process the CT image to obtain the contour and its contour image, and then compare the contours under different thresholds, as follows:

[0066] Step 2.1: use the Canny edge detection operator to extract the edges of the radius and u...