Abstract #3598
Evaluation of Sensitivity of Fat Fraction Measurement to Fat Spectral Model Precalibration
Xiaoke Wang 1 , Diego Hernando 2 , and Scott B Reeder 2,3
1
Biomedical Engineering, University of
Wisconsin, Madison, WI, United States,
2
Radiology,
University of Wisconsin, Madison, Wisconsin, United
States,
3
Medical Physics, University of
Wisconsin, Madison, Wisconsin, United States
In chemical shift encoded (CSE) fat water imaging, it
has been shown that multi-peak spectral modeling of fat,
compared with single peak models of fat, is necessary
for accurate fat quantification. Different spectral
models of fat (triglycerides) in the liver has been
reported, and it is unknown how these differences will
impact the technical accuracy and reproducibility of fat
quantification. This work is evaluates the sensitivity
of chemical shift encoded fat quantification to
different spectral models of fat. Our results show that
the use of spectral modeling of fat is needed for
accurate CSE fat quantification. However, the specific
choice of spectral model (among recently proposed
choices) has a much smaller impact on fat quantification
accuracy.
This abstract and the presentation materials are available to members only;
a login is required.
Join Here
