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Abstract #3656

Fat water separation and field map estimation with multiresolution region growing algorithm

Chuanli Cheng 1,2 , Chao Zou 1 , Hairong Zheng 1 , and Xin Liu 1

1 Paul C. Lauterbur Biomedical Imaging Research Center, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China, 2 University of Chinese Academy of Sciences, Beijing, Beijing, China

A novel multiresolution region growing algorithm is introduced for robust fat water separation and accurate field map estimation from three-point non-equally spaced multi-echo images. The non-equally spaced TEs scheme decreases the number of false local minimum and therefore the probability of fat water swap. The seed region finding and regional growing are executed in multiple resolutions independently, which avoids the premature convergence in field search due to drastic field change in the finer resolution. The algorithm was tested on c-spine and ankle data and shown to be robust in large field inhomogeneity and disjoint areas.

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