Neural network regularization in the problem of few-view computed tomography

Neural network regularization in the problem of few-view computed tomography

The computed tomography allows to reconstruct the inner morphological structure of an object without physical destructing. The accuracy of digital image reconstruction directly depends on the measurement conditions of tomographic projections, in particular, on the number of recorded projections. In...

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Bibliographic Details
Main Authors: A.V. Yamaev, M.V. Chukalina, D.P. Nikolaev, L.G. Kochiev, A.I. Chulichkov
Format: Article
Language:English
Published: Samara National Research University 2022-06-01
Series:Компьютерная оптика
Subjects:
computed tomography
few-view tomography
artificial intelligence
neural network
u-net
learned residual fourier reconstruction
Online Access:https://computeroptics.ru/eng/KO/Annot/KO46-3/460309e.html

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https://computeroptics.ru/eng/KO/Annot/KO46-3/460309e.html

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