In vivo characterization of the liver fat 1H MR spectrum

Gavin Hamilton, Takeshi Yokoo, Mark Bydder, Irene Cruite, Michael E. Schroeder, Claude B. Sirlin, Michael S. Middleton

Research output: Contribution to journalArticlepeer-review

393 Scopus citations


A theoretical triglyceride model was developed for in vivo human liver fat 1H MRS characterization, using the number of double bonds (-CH=CH-), number of methylene-interrupted double bonds (-CH=CH-CH 2-CH=CH-) and average fatty acid chain length. Five 3 T, single-voxel, stimulated echo acquisition mode spectra (STEAM) were acquired consecutively at progressively longer TEs in a fat-water emulsion phantom and in 121 human subjects with known or suspected nonalcoholic fatty liver disease. T 2-corrected peak areas were calculated. Phantom data were used to validate the model. Human data were used in the model to determine the complete liver fat spectrum. In the fat-water emulsion phantom, the spectrum predicted by the model (based on known fatty acid chain distribution) agreed closely with spectroscopic measurement. In human subjects, areas of CH 2 peaks at 2.1 and 1.3ppm were linearly correlated (slope, 0.172; r=0.991), as were the 0.9ppm CH 3 and 1.3ppm CH 2 peaks (slope, 0.125; r=0.989). The 2.75ppm CH 2 peak represented 0.6% of the total fat signal in high-liver-fat subjects. These values predict that 8.6% of the total fat signal overlies the water peak. The triglyceride model can characterize human liver fat spectra. This allows more accurate determination of liver fat fraction from MRI and MRS.

Original languageEnglish (US)
Pages (from-to)784-790
Number of pages7
JournalNMR in biomedicine
Issue number7
StatePublished - Aug 2011


  • Fat fraction
  • H MRS
  • Liver
  • Quantification
  • Triglyceride

ASJC Scopus subject areas

  • Molecular Medicine
  • Radiology Nuclear Medicine and imaging
  • Spectroscopy


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