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Abstract #2450

Integrated image-space and Fourier-space analyses for unwrapping phase images of low signal-to-noise ratio

Nan-kuei Chen1 and Pei-Hsin Wu2

1Department of Biomedical Engineering, University of Arizona, Tucson, AZ, United States, 2Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States

We report a new post-processing procedure that integrates image-space and Fourier-space data analyses to improve the accuracy and reliability of phase unwrapping for MRI data of low signal-to-noise ratio (SNR).

Our data demonstrate that the new phase-unwrapping method outperforms the conventional procedures in critical brain regions (e.g., near the air-tissue interfaces), and should prove valuable for studies that require accurate measurements of MRI phase values, such as quantitative susceptibility mapping (QSM), B0 field mapping, and temperature mapping.

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