Physiological noise compensation in gradient-echo myelin water imaging

Area of Science:

• Magnetic Resonance Imaging (MRI)
• Neuroimaging
• Biomedical Engineering

Background:

• Physiological noise from cardiac and respiratory functions introduces significant errors in Magnetic Resonance Imaging (MRI).
• Detecting subtle brain signals is particularly challenging due to this noise in gradient-echo myelin water imaging (GRE-MWI).

Purpose of the Study:

• To investigate the impact of physiological noise on GRE-MWI.
• To evaluate compensation methods for cardiac and respiratory noise in GRE-MWI.

Main Methods:

• Cardiac noise was reduced using flow saturation radiofrequency pulses targeting the inferior head region to suppress inflow blood signals.
• Respiratory-induced B0 fluctuations were compensated by acquiring navigator echoes and correcting phase errors during image reconstruction.

Main Results:

• Myelin water images acquired after implementing compensation techniques demonstrated markedly enhanced image quality.
• The reproducibility of myelin water imaging results was substantially improved following noise reduction strategies.

Conclusions:

• The study confirms that physiological noise significantly affects GRE-MWI.
• Implementing cardiac and respiratory noise compensation methods is crucial for improving image quality and reliability in GRE-MWI.