Abstract #0100
Reliable phase gradient mapping and phase unwrapping for low-SNR images: A novel procedure based on k-space energy peak quantification
Pei-Hsin Wu 1 , Hsiao-Wen Chung 1 , and Nan-Kuei Chen 2
1
Institute of Biomedical Electronics and
Bioinformatics, National Taiwan University, Taipei,
Taiwan,
2
Brain
Imaging and Analysis Center, Duke University Medical
Center, Durham, NC, United States
MRI phase mapping is difficult because of the phase
wrap-around. Although phase unwrapping procedures have
been implemented, their performance may degrade
significantly when being applied to phase images of low
SNR. To address this challenge, we 1) report a novel
procedure for mapping phase gradients of low-SNR images
through quantifying the k-space energy peak
displacement, and 2) develop a robust phase unwrapping
method that incorporates phase gradient information
derived from the k-space analysis. Our preliminary
results indicate that the developed methods can reliably
measure the phase gradient values and successfully
achieve phase unwrapping for images with low SNR.
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