z-logo
open-access-imgOpen Access
Three-Dimensional Reconstruction of Cerebrovascular and Algorithm Realization
Author(s) -
Linfeng Li,
Xiaojing Jia
Publication year - 2021
Publication title -
journal of healthcare engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.509
H-Index - 29
eISSN - 2040-2309
pISSN - 2040-2295
DOI - 10.1155/2021/7422884
Subject(s) - center of gravity , computer vision , robustness (evolution) , image registration , artificial intelligence , position (finance) , center of mass (relativistic) , computer science , software , algorithm , center (category theory) , realization (probability) , image (mathematics) , mathematics , physics , biochemistry , chemistry , management , finance , classical mechanics , energy–momentum relation , economics , gene , programming language , statistics , crystallography
Objective In the three-dimensional reconstruction of CT cerebrovascular medical image registration, a new optimization algorithm based on the relative position information between the contours of various blood vessels in the image is proposed.Methods Using the rule that the center of gravity of the vascular tissue structure on the series of slices has continuity, find the registration relationship between the contours of the vessels in the two adjacent slices. Because the shape of cerebrovascular contour is relatively symmetrical, its center of gravity is slightly away from its geometric center. Therefore, the geometric center is used to replace the center of gravity, and the “mass” of each contour is calculated according to the area of each contour to achieve the registration of the blood vessel contour.Results The method has the characteristics of global optimization and stronger robustness.Conclusion The cerebrovascular image obtained by this method is more realistic and can be used for the import of various software, simulation training, and later research, which provides an effective method for preoperative simulation of cerebrovascular intervention surgery.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom