
Automated filtering and polygonal reconstruction of virtual skull model based on computed tomography
Author(s) -
Mikhail G. Grif,
A. M. Grif
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1019/1/012054
Subject(s) - correctness , marching cubes , computer science , computer vision , computed tomography , dicom , skull , component (thermodynamics) , software , computer graphics (images) , artificial intelligence , tomography , algorithm , visualization , geology , radiology , medicine , paleontology , physics , programming language , thermodynamics
A method of automated filtering and polygonal reconstruction of the skull virtual model using the methods of “Marching cubes” and “Connected component labeling” is considered. An algorithm for effective software implementation is described. A computational experiment on computed tomography data consisting of 244 DICOM images is presented. The experimental results confirm the correctness and computational efficiency of the algorithm.