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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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