Degradation-Aware Deep Learning Framework for Sparse-View CT Reconstruction

Degradation-Aware Deep Learning Framework for Sparse-View CT Reconstruction

Sparse-view CT reconstruction is a fundamental task in computed tomography to overcome undesired artifacts and recover the details of textual structure in degraded CT images. Recently, many deep learning-based networks have achieved desirable performances compared to iterative reconstruction algorit...

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Bibliographic Details
Main Authors: Chang Sun, Yitong Liu, Hongwen Yang
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Tomography
Subjects:
sparse-view CT reconstruction
degradation-aware
deep learning
frequency domain
image domain
Online Access:https://www.mdpi.com/2379-139X/7/4/77

Internet

https://www.mdpi.com/2379-139X/7/4/77

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