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Fat quantification in skeletal muscle using multigradient-echo imaging: Comparison of fat and water references.

Peterson, Pernilla LU ; Romu, Thobias; Brorson, Håkan LU ; Dahlqvist Leinhard, Olof and Månsson, Sven LU (2016) In Journal of Magnetic Resonance Imaging 43(1). p.203-212
Abstract
To investigate the precision, accuracy, and repeatability of water/fat imaging-based fat quantification in muscle tissue using a large flip angle (FA) and a fat reference for the calculation of the proton density fat fraction (FF). Comparison is made to a small FA water reference approach.
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Journal of Magnetic Resonance Imaging
volume
43
issue
1
pages
203 - 212
publisher
John Wiley & Sons
external identifiers
  • pmid:26095018
  • wos:000368741400019
  • scopus:84955637247
ISSN
1522-2586
DOI
10.1002/jmri.24972
language
English
LU publication?
yes
id
1d824245-0c56-4ab9-8b79-3b7b86804af6 (old id 7484333)
alternative location
http://www.ncbi.nlm.nih.gov/pubmed/26095018?dopt=Abstract
date added to LUP
2015-07-09 19:01:15
date last changed
2017-08-27 03:10:43
@article{1d824245-0c56-4ab9-8b79-3b7b86804af6,
  abstract     = {To investigate the precision, accuracy, and repeatability of water/fat imaging-based fat quantification in muscle tissue using a large flip angle (FA) and a fat reference for the calculation of the proton density fat fraction (FF). Comparison is made to a small FA water reference approach.},
  author       = {Peterson, Pernilla and Romu, Thobias and Brorson, Håkan and Dahlqvist Leinhard, Olof and Månsson, Sven},
  issn         = {1522-2586},
  language     = {eng},
  number       = {1},
  pages        = {203--212},
  publisher    = {John Wiley & Sons},
  series       = {Journal of Magnetic Resonance Imaging},
  title        = {Fat quantification in skeletal muscle using multigradient-echo imaging: Comparison of fat and water references.},
  url          = {http://dx.doi.org/10.1002/jmri.24972},
  volume       = {43},
  year         = {2016},
}