3D Quantitative-Amplified Magnetic Resonance Imaging (3D q-aMRI)

Area of Science:

• Medical Imaging
• Neuroscience
• Biophysics

Background:

• Amplified MRI (aMRI) visualizes pulsatile brain motion but lacks quantitative physical units.
• Sub-voxel motion quantification is crucial for understanding brain dynamics.

Purpose of the Study:

• Introduce and validate 3D quantitative amplified MRI (3D q-aMRI) for visualizing and quantifying pulsatile brain motion.
• Assess the accuracy, repeatability, and reproducibility of 3D q-aMRI for measuring brain parenchyma and CSF voxel displacement.

Main Methods:

• Developed and optimized a novel post-processing algorithm, 3D q-aMRI.
• Validated the algorithm on a 3D digital phantom and applied it in vivo to healthy volunteers.
• Correlated 3D q-aMRI displacement measurements with phase contrast (PC) MRI and analyzed CSF flow profiles.

Main Results:

• 3D q-aMRI accurately quantifies sub-voxel motions (0.01 voxel size) and shows high correlation with PC-MRI.
• Demonstrated repeatability and reproducibility in healthy volunteers.
• Observed differences in brain motion between dementia patients and healthy controls, with CSF profiles resembling literature.

Conclusions:

• 3D q-aMRI enables both visualization and quantification of pulsatile brain motion in physical units.
• This technique has potential for assessing pulsatile brain motion and CSF homeostasis.
• 3D q-aMRI may offer valuable diagnostic insights for neurological disorders like Alzheimer's disease.