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Two new neural network approaches to two-dimensional CT image reconstruction

โœ Scribed by Fath El Alem F. Ali; Zensho Nakao; Yen-Wei Chen

Book ID
104292974
Publisher
Elsevier Science
Year
1999
Tongue
English
Weight
479 KB
Volume
103
Category
Article
ISSN
0165-0114

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โœฆ Synopsis

Recently, we developed two neural network techniques for reconstructing two-dimensional CT images from a small number of projection data. They are simulated annealing and back propagation reconstruction techniques. The two techniques have been developed independent of each other. In this paper we present a comparative evaluation study on the two techniques. We start with introducing the two new approaches one by one, and then present simulation results. Reconstruction results by a well known conventional method -Algebraic Reconstruction Technique (ART)is also presented for the sake of comparison. A quantitative evaluation among the three reconstruction methods is presented. A pixel-wise error estimator is used to calculate the overall error in the reconstructed images. The estimator reveals the effectiveness of the new neural network techniques compared to the conventional technique ART, @

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