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The Object’s Reconstruction of CT Detection Based on Filtered Back Projection Algorithm
Author(s) -
Jing-bo GONG,
Xiaohua Han,
Yuntao Ma,
Si Shoukui
Publication year - 2018
Publication title -
destech transactions on computer science and engineering
Language(s) - English
Resource type - Journals
ISSN - 2475-8841
DOI - 10.12783/dtcse/cmee2017/20005
Subject(s) - computer vision , artificial intelligence , projection (relational algebra) , computer science , object (grammar) , reduction (mathematics) , filter (signal processing) , matlab , artifact (error) , distortion (music) , computer graphics (images) , algorithm , mathematics , amplifier , computer network , geometry , bandwidth (computing) , operating system
Now the most scholars will use parallel beam projection reconstruction algorithm to study CT inspection system to reduction the object. By using these algorithms, for CT system detect reduction target image is not clear, stellate lines occurs on the projective reconstruction object artifact, leads to the serious distortion. This article mainly focuses on the improvement of the precision in the detection of the CT system. The first image of the CT system we get is the projection of the object, then the projection is processed with a one-dimensional filter by using Matlab, we can get reconstructed projection. The resulting image is more restored and clearer than without processing in a filter. We use this theory to a specific CT system test and the use of the theory methods to rebuild the absorption rate, clear graphics of object, found that the image after filtering is more accurate and clear.

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