TY - GEN
T1 - A Novel 3D Reconstruction Algorithm of CT Images Based on Improved Marching Cubes Algorithm
AU - Su, Dongxue
AU - Ma, Lin
N1 - Publisher Copyright:
Copyright © 2020 EAI.
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
KW - 3D reconstruction
KW - CT image
KW - Marching Cubes algorithm
UR - https://www.scopus.com/pages/publications/85128648923
U2 - 10.4108/eai.27-8-2020.2295136
DO - 10.4108/eai.27-8-2020.2295136
M3 - 会议稿件
AN - SCOPUS:85128648923
T3 - International Conference on Mobile Multimedia Communications (MobiMedia)
BT - Proceedings of the 13th EAI International Conference on Mobile Multimedia Communications, Mobimedia 2020
A2 - Yun, Lin
A2 - Ya, Tu
A2 - Meiyu, Wang
PB - ICST
T2 - 13th EAI International Conference on Mobile Multimedia Communications, Mobimedia 2020
Y2 - 27 August 2020 through 28 August 2020
ER -