Comparison of noise-power spectrum and modulation-transfer function for CT images reconstructed with iterative and deep learning image reconstructions: An initial experience study
Authors
Adiwasono M. B. Setiawan
Department of Physics, Faculty of Sciences and Mathematics, Diponegoro University, Central Java, Indonesia
Department of Physics, Faculty of Sciences and Mathematics, Diponegoro University, Central Java, Indonesia
Eko Hidayanto
Department of Physics, Faculty of Sciences and Mathematics, Diponegoro University, Central Java, Indonesia
Heri Sutanto
Department of Physics, Faculty of Sciences and Mathematics, Diponegoro University, Central Java, Indonesia
Ariij Naufal
Department of Physics, Faculty of Sciences and Mathematics, Diponegoro University, Central Java, Indonesia
Geoff Dougherty
Department of Applied Physics and Medical Imaging, California State University Channel Islands, Camarillo, USA
Language: English
Page range: 104 - 112
Submitted on: Mar 20, 2023
Accepted on: May 4, 2023
Published on: Jun 5, 2023
Published by: Polish Society of Medical Physics
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
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© 2023 Adiwasono M. B. Setiawan, Choirul Anam, Eko Hidayanto, Heri Sutanto, Ariij Naufal, Geoff Dougherty, published by Polish Society of Medical Physics
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.