Research Article
A Novel 3D Reconstruction Algorithm of CT Images Based on Improved Marching Cubes Algorithm
@INPROCEEDINGS{10.4108/eai.27-8-2020.2295136, author={Dongxue Su and Lin Ma}, title={A Novel 3D Reconstruction Algorithm of CT Images Based on Improved Marching Cubes Algorithm}, proceedings={Proceedings of the 13th EAI International Conference on Mobile Multimedia Communications, Mobimedia 2020, 27-28 August 2020, Cyberspace}, publisher={EAI}, proceedings_a={MOBIMEDIA}, year={2020}, month={11}, keywords={marching cubes algorithm; ct image; 3d reconstruction}, doi={10.4108/eai.27-8-2020.2295136} }- Dongxue Su
Lin Ma
Year: 2020
A Novel 3D Reconstruction Algorithm of CT Images Based on Improved Marching Cubes Algorithm
MOBIMEDIA
EAI
DOI: 10.4108/eai.27-8-2020.2295136
Abstract
In 3D reconstruction for CT images, the Marching Cubes (MC) algorithm is a popular used surface rendering algorithm. However, current MC algorithm has to calculate a large amount of data and triangular patches, which leads to a lower speed of the algorithm. This paper proposes an improved MC algorithm by improving the representation of voxels. By increasing the volume of voxels, the number of voxels that need to be traversed in 3D reconstruction is greatly reduced. Before the isosurface is drawn, the triangle mesh is subtracted. At the same time, in the process of calculating the equivalent points, this paper proposes to introduce smoothness and distortion coefficients to control the smoothness and distortion of the 3D reconstruction model. Simulation results show that the proposed algorithm is more efficient than the MC algorithm, and improves the real-time interaction and the controllability of smoothness and distortion.
