Abstract #0950
MRI Fat-Water Separation Models: Correlation with CT Hounsfield Units in Human Subcutaneous White Adipose Tissue
Aliya Gifford 1,2 , Theodore F Towse 1,3 , and Brian Welch 1,4
1
Institute of Imaging Science, Vanderbilt
University, Nashville, Tennessee, United States,
2
Chemical
and Physical Biology Program, Vanderbilt University,
Nashville, TN, United States,
3
Department
of Physical Medicine and Rehabilitation, Vanderbilt
University School of Medicine, Nashville, TN, United
States,
4
Radiology and Radiological Sciences,
Vanderbilt University, Nashville, TN, United States
This report shows the results of three methods of
computing fat-water separation and how the resulting
fat-water MRI derived fat-signal-fraction (FSF) values
correlate to CT Hounsfield Units in human white adipose
tissue. These results show that the FSF values as
calculated using 6 echoes, 9 fat peaks, and R
2
*
correction, are tightly correlated (R
2
=0.887)
to the density of tissue as measured by differences in
CT Hounsfield Units values for subjects with BMI < 24
after exposure to cold. The strength of correlation
drops dramatically for worse fat-water separation
models.
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