1 research outputs found
Non-rigid Registration Method between 3D CT Liver Data and 2D Ultrasonic Images based on Demons Model
The non-rigid registration between CT data and ultrasonic images of liver can
facilitate the diagnosis and treatment, which has been widely studied in recent
years. To improve the registration accuracy of the Demons model on the
non-rigid registration between 3D CT liver data and 2D ultrasonic images, a
novel boundary extraction and enhancement method based on radial directional
local intuitionistic fuzzy entropy in the polar coordinates has been put
forward, and a new registration workflow has been provided. Experiments show
that our method can acquire high-accuracy registration results. Experiments
also show that the accuracy of the results of our method is higher than that of
the original Demons method and the Demons method using simulated ultrasonic
image by Field II. The operation time of our registration workflow is about 30
seconds, and it can be used in the surgery