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.
This abstract and the presentation materials are available to members only; a login is required.