Abstract #1662
Analytical Three-point Water-fat Imaging with Multi-peak Fat Model
Dinghui Wang 1 and James G. Pipe 1
1
Neuroimaging Research, Barrow Neurological
Institute, Phoenix, AZ, United States
We propose an analytical approach of three-point
water-fat Dixon imaging with a known multi-peak fat
model. This approach works with flexible even and uneven
TE increments. By selecting appropriate TE points,
spatial phase unwrapping can be avoided. This method
solves the quadratic equations of water and fat. If the
TE points are selected such that the magnitude of fat
fluctuates significantly, a substantial portion of pure
water and pure fat voxels can be identified according to
the asymmetry between water and fat. The efficiency and
robustness of the subsequent post-processing will thus
be enhanced.
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