Novel Method for Background Phase Removal on MRI Proton Resonance Frequency Measurements
This addresses a key bottleneck in MRI phase imaging for clinicians and researchers, enabling more accurate temperature mapping and tissue characterization.
The paper presents a novel method for removing background phase from MRI phase images, enabling extraction of useful information like temperature or iron content. The method uses higher-order edge detection and sparse representation to suppress background artifacts.
MR images have a magnitude and a phase, but in almost all clinical applications only the magnitude images are used, because the phase images have a smooth but strong background signal that masks useful information. The phase contains information such as the temperature during thermal ablation, and the iron content of brain tissue. We describe a novel method to suppress the background that is based on higher order edge detection and sparse image representation.