Quantitative assessment of susceptibility-weighted imaging processing methods.

Area of Science:

• Medical Imaging
• Neuroimaging
• Magnetic Resonance Imaging (MRI)

Background:

• Susceptibility-weighted imaging (SWI) is crucial for visualizing brain structures and pathologies.
• Artifacts in SWI phase processing can obscure important details.
• Optimizing SWI phase processing is essential for accurate clinical interpretation.

Purpose of the Study:

• To compare different susceptibility-weighted imaging (SWI) phase processing techniques.
• To identify optimal parameters for artifact reduction in SWI.
• To guide methodology selection for clinical SWI applications.

Main Methods:

• Investigated homodyne filtering and phase unwrapping with high-pass (HP) filtering.
• Evaluated various phase unwrapping approaches, filter sizes, and types.
• Acquired data from healthy subjects and brain injury patients using a 3T MRI scanner.

Main Results:

• Homodyne filtering with small filters (e.g., 32 pixels) introduced phase errors, affecting 2-3% of brain area.
• Phase unwrapping/HP filtering methods showed fewer artifacts than homodyne filtering.
• Fourier-based unwrapping was significantly faster but less accurate than other methods.

Conclusions:

• Phase unwrapping followed by HP filtering provides more accurate SWI results across diverse scenarios.
• While faster, homodyne filtering is more prone to artifacts.
• The findings aid in selecting appropriate SWI processing for clinical use.