A new approach to image reconstruction from projections using a recurrent neural network

Cierniak, Robert

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Title: A new approach to image reconstruction from projections using a recurrent neural network

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AMCS, volume 18 (2008)

Abstract:

A new neural network approach to image reconstruction from projections considering the parallel geometry of the scanner is presented. To solve this key problem in computed tomography, a special recurrent neural network is proposed. The reconstruction process is performed during the minimization of the energy function in this network. The performed computer simulations show that the neural network reconstruction algorithm designed to work in this way outperforms conventional methods in the obtained image quality.

Publisher:

Zielona Góra: Uniwersytet Zielonogórski

Resource Identifier:

oai:zbc.uz.zgora.pl:78705

DOI:

10.2478/v10006-008-0014-y

Pages:

147-157

Source:

AMCS, volume 18, number 2 (2008) ; click here to follow the link

Language:

eng

Rights:

Biblioteka Uniwersytetu Zielonogórskiego

Subject and keywords:

image reconstruction from projections neural networks recurrent net

Object collections:

Digital Library of Zielona Góra > Repository > Faculties > Faculty of Computer, Electrical and Control Engineering

Digital Library of Zielona Góra > Repository > Types of work > Articles

Digital Library of Zielona Góra > Repository > Scientific journals and UZ publishing series > International Journal of Applied Mathematics and Computer Science (AMCS) > International Journal of Applied Mathematics and Computer Science (AMCS) (2008)

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Apr 8, 2024

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Apr 5, 2024

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https://www.zbc.uz.zgora.pl/publication/88466

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International Journal of Applied Mathematics and Computer Science (AMCS)

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A new approach to image reconstruction from projections using a recurrent neural network	Apr 8, 2024

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