Development of Limited-Angle Iterative Reconstruction Algorithms with Context Encoder-Based Sinogram Completion for Micro-CT Applications
Limited-angle iterative reconstruction (LAIR) reduces the radiation dose required for computed tomography (CT) imaging by decreasing the range of the projection angle. We developed an image-quality-based stopping-criteria method with a flexible and innovative instrument design that, when combined wi...
Main Authors: | Shih-Chun Jin, Chia-Jui Hsieh, Jyh-Cheng Chen, Shih-Huan Tu, Ya-Chen Chen, Tzu-Chien Hsiao, Angela Liu, Wen-Hsiang Chou, Woei-Chyn Chu, Chih-Wei Kuo |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-12-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/18/12/4458 |
Similar Items
-
Anomaly Detection Neural Network with Dual Auto-Encoders GAN and Its Industrial Inspection Applications
by: Ta-Wei Tang, et al.
Published: (2020-06-01) -
Self-Attention-Based Conditional Variational Auto-Encoder Generative Adversarial Networks for Hyperspectral Classification
by: Zhitao Chen, et al.
Published: (2021-08-01) -
AMFNet: An Adversarial Network for Median Filtering Detection
by: Xiao Jin, et al.
Published: (2018-01-01) -
Multichannel Residual Conditional GAN-Leveraged Abdominal Pseudo-CT Generation via Dixon MR Images
by: Ke Xu, et al.
Published: (2019-01-01) -
Generating Adversarial Examples in One Shot With Image-to-Image Translation GAN
by: Weijia Zhang
Published: (2019-01-01)