Abstract #1593
3D GlObally Optimal Surface estimation (3D-GOOSE) algorithm for fat and water separation
Chen Cui 1 , Xiaodong Wu 1,2 , John D. Newell 3 , and Mathews Jacob 1
1
Electrical and Computer Engineering,
University of Iowa, Iowa City, IA, United States,
2
Radiation
Oncology, University of Iowa, Iowa City, IA, United
States,
3
Radiology,
University of Iowa, Iowa City, IA, United States
We introduce a robust algorithm to resolve the
ambiguities in fat-water decomposition by utilizing the
smoothness of the field-map in three spatial dimensions.
Many current methods are still sensitive to local minima
effects. We had recently introduced a novel graph cut
algorithm termed as GlObally Optimal Surface Estimation
(GOOSE) that is guaranteed to provide the global
minimum, which was observed to considerably improve the
performance on challenging datasets. However, GOOSE was
restricted to two dimensional and hence not capable of
exploiting the field smoothness between slices. This
work is to extend GOOSE to 3-D therefore to further
improve the robustness.
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