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Published online before print October 19, 2005, 10.1148/radiol.2373041639
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(Radiology 2005;237:1048-1055.)
© RSNA, 2005

Technical Developments

Hepatic Fat Fraction: MR Imaging for Quantitative Measurement and Display—Early Experience1

Hero K. Hussain, MD, Thomas L. Chenevert, PhD, Frank J. Londy, RT, Vikas Gulani, MD, PhD, Scott D. Swanson, PhD, Barbara J. McKenna, MD, Henry D. Appelman, MD, Saroja Adusumilli, MD, Joel K. Greenson, MD and Hari S. Conjeevaram, MD

1 From the Departments of Radiology/MRI (H.K.H., T.L.C., F.J.L., V.G., S.D.S., S.A.), Pathology (B.J.M., H.D.A., J.K.G.), and Internal Medicine (H.S.C.), University of Michigan Health System, 1500 E Medical Center Dr, MRI UHB2A209, Ann Arbor, MI 48109-0030. From the 2004 RSNA Annual Meeting. Received September 23, 2004; revision requested November 29; revision received December 27; accepted January 21, 2005. Address correspondence to T.L.C. (e-mail: tlchenev{at}umich.edu).

The institutional review board approved this HIPAA-compliant study. After all five patients with nonalcoholic fatty liver disease signed a consent, they underwent magnetic resonance (MR) imaging for hepatic fat quantification. The purpose of this study was to develop a fast and accurate method to acquire and display quantitative maps of the percentage of hepatic fat. In-phase and out-of-phase gradient-echo MR imaging was performed with dual flip angles (70°, 20°) to resolve ambiguity of the dominant constituent. T2* corrections were also estimated and applied to generate color-coded maps of the estimated percentage of hepatic fat. MR imaging results were compared with biopsy results in two of five patients, and the technique was validated qualitatively and quantitatively with a water-oil phantom. Results of the phantom study confirmed that the dual–flip angle algorithm can be used to correctly identify the dominant constituent, allowing depiction of 0%–100% of fat content. The estimated liver fat fraction was comparable to quantitative fat measurements at biopsy in both patients (MR imaging, 18.3% ± 2.8 [standard deviation] and 28.6% ± 2.4, vs quantitative histopathologic analysis, 11.2% and 28.5%, respectively).

Supplemental material: radiology.rsnajnls.org/cgi/content/full/2373041639/DC1

© RSNA, 2005




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