Noise Suppression of Computed Tomography (CT) Images Using Residual Encoder-Decoder Convolutional Neural Network (RED-CNN)

Noise Suppression of Computed Tomography (CT) Images Using Residual Encoder-Decoder Convolutional Neural Network (RED-CNN)

In this study, an in-house residual encoder-decoder convolutional neural network (RED-CNN)-based algorithm was composed and trained using images of cylindrical polymethyl-methacrylate (PMMA) phantom with a diameter of 26 cm at different simulated noise levels. The model was tested on 21 × 26 cm elli...

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Bibliographic Details
Main Authors: H. B. Cokrokusumo, I. Hariyati, L. E. Lubis, P. Prajitno, D. S. Soejoko
Format: Article
Language:English
Published: Center for Development of Nuclear Informatics, National Nuclear Energy Agency (BATAN) 2022-11-01
Series:Atom Indonesia
Subjects:
deep learning
encoder-decoder network
fully convolutional network
image denoising
low-dose ct
residual network
Online Access:https://aij.batan.go.id/index.php/aij/article/view/1113

Internet

https://aij.batan.go.id/index.php/aij/article/view/1113

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