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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