Incorporating Prior Knowledge via Volumetric Deep Residual Network to Optimize the Reconstruction of Sparsely Sampled MRI

For sparse sampling that accelerates magnetic resonance (MR) image acquisition, non-linear reconstruction algorithms have been developed, which incorporated patient specific a prior information. More generic a prior information could be acquired via deep learning and utilized for image reconstructio...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:Magn Reson Imaging
Egile Nagusiak: Wu, Yan, Ma, Yajun, Capaldi, Dante Pietro, Liu, Jing, Zhao, Wei, Du, Jiang, Xing, Lei
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: 2019
Gaiak:
Article
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC6745016/
https://ncbi.nlm.nih.gov/pubmed/30880112
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.mri.2019.03.012
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