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Abstract #2809

A Multi-Mask Multi-Seed Free Growing Field Map Estimation Algorithm for Iterative Multi-Point Water-Fat Decomposition

Chuan Huang1, Maria I. Altbach2

1Dept of Mathematics, University of Arizona, Tucson, AZ, USA; 2Dept of Radiology, University of Arizona

In MRI, fat/water separation in the presence of B0 field inhomogeneity is an important research area. In this work, we introduce a new method called Multi-mask Multi-seed Free Growing as an alternative to the Region Growing (RG) algorithm to provide the initial field map estimate for IDEAL fat water separation. Our results show that this algorithm is more robust than RG algorithm, especially when a large region of low signal intensity is present or strong field inhomogeneity occurs.