DRONE: Dual-Domain Residual-based Optimization NEtwork for Sparse-View CT Reconstruction

Deep learning has attracted rapidly increasing attention in the field of tomographic image reconstruction, especially for CT, MRI, PET/SPECT, ultrasound and optical imaging. Among various topics, sparse-view CT remains a challenge which targets a decent image reconstruction from very few projections...

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Vydané v:	IEEE transactions on medical imaging Ročník 40; číslo 11; s. 3002 - 3014
Hlavní autori:	Wu, Weiwen, Hu, Dianlin, Niu, Chuang, Yu, Hengyong, Vardhanabhuti, Varut, Wang, Ge
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.11.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Biomedical measurement compressed sensing Computed tomography Computed tomography (CT) Deep learning Domains Drones Embedding Generative adversarial networks Image processing Image Processing, Computer-Assisted Image quality Image reconstruction Imaging iterative reconstruction Magnetic resonance imaging Medical imaging Modules Optimization Phantoms, Imaging Positron emission Reconstruction algorithms Single photon emission computed tomography sparse-view CT reconstruction Tomography Tomography, X-Ray Computed
ISSN:	0278-0062, 1558-254X, 1558-254X
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