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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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