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Journal of Medical Imaging

Correlations between quantitative fat–water magnetic resonance imaging and computed tomography in human subcutaneous white adipose tissue
Author(s): Aliya Gifford; Ronald C. Walker; Theodore F. Towse; E. Brian Welch
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Paper Abstract

Beyond estimation of depot volumes, quantitative analysis of adipose tissue properties could improve understanding of how adipose tissue correlates with metabolic risk factors. We investigated whether the fat signal fraction (FSF) derived from quantitative fat–water magnetic resonance imaging (MRI) scans at 3.0 T correlates to CT Hounsfield units (HU) of the same tissue. These measures were acquired in the subcutaneous white adipose tissue (WAT) at the umbilical level of 21 healthy adult subjects. A moderate correlation exists between MRI- and CT-derived WAT values for all subjects, R2=0.54, p<0.0001, with a slope of −2.6, (95% CI [−3.3,−1.8]), indicating that a decrease of 1 HU equals a mean increase of 0.38% FSF. We demonstrate that FSF estimates obtained using quantitative fat–water MRI techniques correlate with CT HU values in subcutaneous WAT, and therefore, MRI-based FSF could be used as an alternative to CT HU for assessing metabolic risk factors.

Paper Details

Date Published: 18 December 2015
PDF: 8 pages
J. Med. Img. 2(4) 046001 doi: 10.1117/1.JMI.2.4.046001
Published in: Journal of Medical Imaging Volume 2, Issue 4
Show Author Affiliations
Aliya Gifford, Vanderbilt Univ. (United States)
Ronald C. Walker, Tennessee Valley VA Healthcare (United States)
Vanderbilt Univ. (United States)
Theodore F. Towse, Vanderbilt Univ. (United States)
E. Brian Welch, Vanderbilt Univ. (United States)


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