Improving Water-Fat Separation Using Object-Based Information of the B0 Field Inhomogeneity
Samir D. Sharma 1 , Nathan S. Artz 1 , Diego Hernando 1 , Debra E. Horng 1,2 , and Scott B. Reeder 1,2
Radiology, University of Wisconsin -
Madison, Madison, WI, United States,
Physics, University of Wisconsin - Madison, Madison, WI,
The primary challenge in water-fat separation lies in
estimating the B0 field map, which is composed of the
background field and susceptibility-induced field. The
susceptibility-induced field can be estimated if the
susceptibility distribution is known or can be
approximated. In this work, the susceptibility
distribution is approximated from the source images
using the known susceptibility values of tissue and air.
This object-based information is then used to improve
the robustness to swaps for existing water-fat
separation methods. Cases are shown in which water-fat
swaps were avoided by using the object-based information
of the B0 field map.
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