Quantitative analysis of T2-correction in single-voxel magnetic resonance spectroscopy of hepatic lipid fraction

Puneet Sharma, Diego R. Martin, Nashiely Pineda, Qin Xu, Miriam Vos, Frank Anania, Xiaoping Hu

Research output: Contribution to journalArticlepeer-review

51 Scopus citations


Purpose: To investigate the accuracy and reproducibility of hepatic lipid measurements using 1H magnetic resonance spectroscopy (MRS) with T2 relaxation correction, compared to measurements without correction. Materials and Methods: Experiments were conducted in phantoms of varying lipid and iron-induced susceptibility to simulate fatty liver with variable T2. Single-voxel 1H MRS was conducted with multiple TE values, and percent lipid content (lipid%) was determined at each TE to assess accuracy and TE dependency. Concurrently, T2 and equilibrium values of water and lipid were determined separately,and T2 effects on the lipid% were corrected. A similar procedure was conducted in 12 human subjects to determine susceptibility effects on water and lipid MRS signals andlipid%. Multiple measurements were used to test reproducibility. Results: The use of T2-correction was found to be more accurate than uncorrected lipid% in phantom samples (<10% error). Uncorrected lipid% error increased with increasing TE (>20% when TE > 24 msec) and with increasing susceptibility effect. In humans, while measurement repeatability was high for both corrected and uncorrected MRS, uncorrected lipid% was sensitive to acquisition TE,with 83.6% of all measurements significantly different than T2-corrected measures (P < 0.05). Conclusion: Separate T2-correction of water and lipid 1HMRS signals provides more accurate and consistent measurements of lipid%, in comparison to uncorrected estimations.

Original languageEnglish (US)
Pages (from-to)629-635
Number of pages7
JournalJournal of Magnetic Resonance Imaging
Issue number3
StatePublished - Mar 2009


  • Hepatic lipid
  • Relaxation rates
  • Spectroscopy
  • Susceptibility
  • T2-correction

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging


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