ACCELERATING DYNAMIC MAGNETIC RESONANCE IMAGING BY NONLINEAR SPARSE CODING

Although being high-dimensional, dynamic magnetic resonance images usually lie on low-dimensional manifolds. Nonlinear models have been shown to capture well that latent low-dimensional nature of data, and can thus lead to improvements in the quality of constrained recovery algorithms. This paper ad...

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Detaylı Bibliyografya
Yayımlandı:Proc IEEE Int Symp Biomed Imaging
Asıl Yazarlar: Nakarmi, Ukash, Zhou, Yihang, Lyu, Jingyuan, Slavakis, Konstantinos, Ying, Leslie
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: 2016
Konular:
Article
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC6839784/
https://ncbi.nlm.nih.gov/pubmed/31709030
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ISBI.2016.7493319
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