Affiliations: Department of Electronic Engineer & Graduate Institute of Computer and Communication Engineering, National Taipei University of Technology, Taipei, Taiwan
Correspondence:
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Corresponding author: Wen-Lin Huang, Department of Electronic Engineer and Graduate Institute of Computer and Communication Engineering, National Taipei University of Technology, Taipei, Taiwan. E-mail:[email protected]
Abstract: In recent years, positron emission tomography imaging
(PET) and Computed tomography (CT) fusion images can be observed metabolic
information, they can get a more accurate spatial information. People have
to construct 3D models in the first place when they try to examine images
from different angles. Once a cross-section which we want to inspect has
been revealed, it can be observed from any angles. However, a issue people
encounter in above-mentioned procedures is that they have to either process
images fusion at the beginning and then reconstruct the 3D models with these
images to generate section or rebuilt the 3D models with these images and
fuse section images as the second step. The main objective of this research
is to discriminate the divergences and merits between two types of
procedures.This research discovers that two different procedures will
exactly bring about dissimilar types of images. Therefore, this research
particularly aims at the analysis of two images and evaluates the extent of
fringe and remaining information. We calculates entropy and standard
deviation of the images. Nevertheless, finding section on 3D models first
and fusing images secondly will generate the images which retain more
information.
