Novel Method for Background Phase Removal on MRI Proton Resonance Frequency Measurements

TL;DR

This paper introduces a new method for removing background phase signals in MRI proton resonance frequency measurements, enabling better extraction of clinically relevant phase information.

Contribution

The paper presents a novel background phase removal technique using higher order edge detection and sparse image representation, improving phase image quality.

Findings

Enhanced background suppression in MRI phase images

Preservation of clinically relevant phase information

Potential for improved thermal ablation and tissue analysis

Abstract

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.