Improving chemical shift encoding-based water-fat separation based on a detailed consideration of magnetic field contributions
Author:
Affiliation:
1. Department of Diagnostic and Interventional Radiology; Technical University of Munich; Munich Germany
2. Philips Research Laboratory; Hamburg Germany
Funder
European Research Council
ProFatMRI
Philips Healthcare
Publisher
Wiley
Subject
Radiology Nuclear Medicine and imaging
Reference38 articles.
1. Dixon techniques for water and fat imaging;Ma;J Magn Reson Imaging.,2008
2. Fat and water magnetic resonance imaging;Bley;J Magn Reson Imaging.,2009
3. Quantitative assessment of liver fat with magnetic resonance imaging and spectroscopy;Reeder;J Magn Reson Imaging.,2011
4. Quantitative proton MR techniques for measuring fat;Hu;NMR Biomed.,2013
5. Multicoil dixon chemical species separation with an iterative least-squares estimation method;Reeder;Magn Reson Med.,2003
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