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A Signal-Transformational Framework for Breaking the Noise Floor and Its Applications in MRI

A long-standing problem in Magnetic Resonance Imaging (MRI) is the noise-induced bias in the magnitude signals. This problem is particularly pressing in diffusion MRI at high diffusion-weighting. In this paper, we present a three-stage scheme to solve this problem by transforming noisy nonCentral Ch...

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Bibliografische gegevens
Hoofdauteurs: Koay, Cheng Guan, Özarslan, Evren, Basser, Peter J.
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: 2008
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Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC2765718/
https://ncbi.nlm.nih.gov/pubmed/19138540
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jmr.2008.11.015
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