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Accelerated water–fat imaging using restricted subspace field map estimation and compressed sensing
Author(s) -
Sharma Samir D.,
Hu Houchun H.,
Nayak Krishna S.
Publication year - 2012
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.23052
Subject(s) - compressed sensing , subspace topology , artificial intelligence , computer science , pattern recognition (psychology) , estimation , field (mathematics) , computer vision , mathematics , engineering , pure mathematics , systems engineering
Water–fat separation techniques play an important role in a variety of clinical and research applications. In particular, multiecho separation methods remain a topic of great interest due to their ability to resolve water and fat images in the presence of B 0 ‐field inhomogeneity. However, these methods are inherently slow as they require multiple measurements. An accelerated technique with reduced k ‐space sampling is desirable to decrease the scan time. This work presents a new method for water–fat separation from accelerated multiecho acquisitions. The proposed approach does not require the region‐growing or region‐merging schemes that are typically used for field map estimation. Instead, the water, fat, and field map signals are estimated directly from the undersampled k ‐space measurements. In this work, up to 2.5×‐acceleration is demonstrated in a water–fat phantom, ankle, knee, and liver. Magn Reson Med, 2012. © 2011 Wiley Periodicals, Inc.