Suppressing multi-channel ultra-low-field MRI measurement noise using data consistency and image sparsity.

Suppressing multi-channel ultra-low-field MRI measurement noise using data consistency and image sparsity.

Ultra-low-field (ULF) MRI (B 0 = 10-100 µT) typically suffers from a low signal-to-noise ratio (SNR). While SNR can be improved by pre-polarization and signal detection using highly sensitive superconducting quantum interference device (SQUID) sensors, we propose to use the inter-dependency of the k...

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Bibliographic Details
Main Authors: Fa-Hsuan Lin, Panu T Vesanen, Yi-Cheng Hsu, Jaakko O Nieminen, Koos C J Zevenhoven, Juhani Dabek, Lauri T Parkkonen, Juha Simola, Antti I Ahonen, Risto J Ilmoniemi
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2013-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3633989?pdf=render

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