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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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