Comparison of R2* correction methods for accurate fat quantification in fatty liver
Article first published online: 16 NOV 2012
Copyright © 2012 Wiley Periodicals, Inc.
Journal of Magnetic Resonance Imaging
Volume 37, Issue 2, pages 414–422, February 2013
How to Cite
Horng, D. E., Hernando, D., Hines, C. D.G. and Reeder, S. B. (2013), Comparison of R2* correction methods for accurate fat quantification in fatty liver. J. Magn. Reson. Imaging, 37: 414–422. doi: 10.1002/jmri.23835
- Issue published online: 24 JAN 2013
- Article first published online: 16 NOV 2012
- Manuscript Accepted: 22 AUG 2012
- Manuscript Received: 10 OCT 2011
- NIH. Grant Numbers: R01 DK083380, R01 DK088925, RC1 EB010384, R01 DK096169
- The WARF Accelerator Program
- The Coulter Foundation
- T2* correction;
- R2* correction;
- hepatic steatosis;
- nonalcoholic fatty liver disease;
- fat quantification;
- fat fraction
To compare the performance of fat fraction quantification using single-R2* and dual-R2* correction methods in patients with fatty liver, using MR spectroscopy (MRS) as the reference standard.
Materials and Methods:
From a group of 97 patients, 32 patients with hepatic fat fraction greater than 5%, as measured by MRS, were identified. In these patients, chemical shift encoded fat-water imaging was performed, covering the entire liver in a single breathhold. Fat fraction was measured from the imaging data by postprocessing using 6 different models: single- and dual-R2* correction, each performed with complex fitting, magnitude fitting, and mixed magnitude/complex fitting to compare the effects of phase error correction. Fat fraction measurements were compared with co-registered spectroscopy measurements using linear regression.
Linear regression demonstrated higher agreement with MRS using single-R2* correction compared with dual-R2* correction. Among single-R2* models, all 3 fittings methods performed similarly well (slope = 1.0 ± 0.06, r2 = 0.89–0.91).
Single-R2* modeling is more accurate than dual-R2* modeling for hepatic fat quantification in patients, even in those with high hepatic fat concentrations. J. Magn. Reson. Imaging 2013;37:414–422. © 2012 Wiley Periodicals, Inc.